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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014 SpainPublisher:Copernicus GmbH Funded by:SGOV | ESTUDIO DE LA VARIABILIDA..., SGOV | HACIA UNA VALIDACION OPER...SGOV| ESTUDIO DE LA VARIABILIDAD ESPACIO-TEMPORAL Y CARACTERIZACION DEL CONTENIDO DE VAPOR DE AGUA PRECIPITABLE (PWV) MEDIANTE EL USO DE DIVERSAS TECNICAS DE MEDIDA. PROSPECTIVA Y U ,SGOV| HACIA UNA VALIDACION OPERACIONAL DE LOS PRODUCTOS DE GASES TRAZA (NIVEL 2) DEL IASIJuan José de Bustos; Emilio Cuevas; A. M. de Frutos; Omaira García; Victoria E. Cachorro; P. Pallé; Rosa Delia García; Rosa Delia García; P. M. Romero-Campos;Abstract. This paper presents the re-construction of the 80 year time series of daily global shortwave downward radiation (SDR) at the subtropical high-mountain Izaña Atmospheric Observatory (IZO, Spain). For this purpose, we combine SDR estimates from sunshine duration (SD) data using the Ångström–Prescott method over the 1933/1991 period, and SDR observations directly performed by pyranometers between 1992 and 2013. Since SDR measurements have been used as a reference, a strict quality control has been applied, when it was not possible data have been re-calibrated by using the LibRadtran model. By comparing to high quality SDR measurements, the precision and consistency over time of SDR estimations from SD data have successfully been documented. We obtain a overall root mean square error (RMSE) of 9.2% and an agreement between the variances of SDR estimations and SDR measurements within 92% (correlation coefficient of 0.96). Nonetheless, this agreement significantly increases when the SDR estimation is done considering different daily fractions of clear sky (FCS). In that case, RMSE is reduced by half, up to about 4.5%, when considering percentages of FCS > 40% (90% of days in the testing period). Furthermore, we prove that the SDR estimations can monitor the SDR anomalies in consistency with SDR measurements and, then, can be suitable for re-constructing solar radiation time series. The re-constructed IZO global SDR time series between 1933 and 2013 confirms discontinuities and periods of increases/decreases of solar radiation at Earth's surface observed at a global scale, such as the early brightening, dimming and brightening. This fact supports the consistency of the IZO SDR time series presented in this work, which may be a reference for solar radiation studies in the subtropical North Atlantic region.
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/amtd-7...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Measurement Techniques (AMT)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2014Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amtd-7-4191-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/amtd-7...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Measurement Techniques (AMT)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2014Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amtd-7-4191-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022 United States, Australia, Germany, France, Australia, United StatesPublisher:Copernicus GmbH Funded by:ARC | High resolution Fourier t..., ARC | Discovery Projects - Gran..., ARC | The carbon cycle and clim... +7 projectsARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Discovery Projects - Grant ID: DP190100180 ,ARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100203 ,EC| CoCO2 ,ARC| Discovery Projects - Grant ID: DP140101552 ,EC| EMME-CARE ,ARC| Atmospheric composition and climate change: a southern hemisphere perspective ,NSERC ,ARC| Future Fellowships - Grant ID: FT180100327B. Byrne; D. F. Baker; S. Basu; S. Basu; M. Bertolacci; K. W. Bowman; K. W. Bowman; D. Carroll; D. Carroll; A. Chatterjee; F. Chevallier; P. Ciais; N. Cressie; N. Cressie; D. Crisp; S. Crowell; F. Deng; Z. Deng; N. M. Deutscher; M. K. Dubey; S. Feng; O. E. García; D. W. T. Griffith; B. Herkommer; L. Hu; A. R. Jacobson; A. R. Jacobson; R. Janardanan; S. Jeong; M. S. Johnson; D. B. A. Jones; R. Kivi; J. Liu; J. Liu; Z. Liu; S. Maksyutov; J. B. Miller; S. M. Miller; I. Morino; J. Notholt; T. Oda; T. Oda; C. W. O'Dell; Y.-S. Oh; H. Ohyama; P. K. Patra; H. Peiro; C. Petri; S. Philip; D. F. Pollard; B. Poulter; M. Remaud; A. Schuh; M. K. Sha; K. Shiomi; K. Strong; C. Sweeney; Y. Té; H. Tian; H. Tian; V. A. Velazco; V. A. Velazco; M. Vrekoussis; M. Vrekoussis; T. Warneke; J. R. Worden; D. Wunch; Y. Yao; J. Yun; A. Zammit-Mangion; N. Zeng; N. Zeng;Abstract. Accurate accounting of emissions and removals of CO2 is critical for the planning and verification of emission reduction targets in support of the Paris Agreement. Here, we present a pilot dataset of country-specific net carbon exchange (NCE; fossil plus terrestrial ecosystem fluxes) and terrestrial carbon stock changes aimed at informing countries’ carbon budgets. These estimates are based on "top-down" NCE outputs from the v10 Orbiting Carbon Observatory (OCO-2) modeling intercomparison project (MIP), wherein an ensemble of inverse modeling groups conducted standardized experiments assimilating OCO-2 column-averaged dry-air mole fraction (XCO2) retrievals (ACOS v10), in situ CO2 measurements, or combinations of these data. The v10 OCO-2 MIP NCE estimates are combined with "bottom-up" estimates of fossil fuel emissions and lateral carbon fluxes to estimate changes in terrestrial carbon stocks, which are impacted by anthropogenic and natural drivers. These flux and stock change estimates are reported annually (2015–2020) as both a global 1° × 1° gridded dataset and as a country-level dataset. Across the v10 OCO-2 MIP experiments, we obtain increases in the ensemble median terrestrial carbon stocks of 3.29–4.58 PgCO2 yr-1 (0.90–1.25 PgC yr-1). This is a result of broad increases in terrestrial carbon stocks across the northern extratropics, while the tropics generally have stock losses but with considerable regional variability and differences between v10 OCO-2 MIP experiments. We discuss the state of the science for tracking emissions and removals using top-down methods, including current limitations and future developments towards top-down monitoring and verification systems.
Earth System Science... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)San José State University ScholarWorksArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2022 . Peer-reviewedData sources: European Union Open Data PortalEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2022-213&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 66 citations 66 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Earth System Science... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)San José State University ScholarWorksArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2022 . Peer-reviewedData sources: European Union Open Data PortalEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2022-213&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book , Article , Journal 2005Embargo end date: 10 Dec 2019 Spain, United KingdomPublisher:SPIE Bais, A.; Blumthaler, M.; Webb, A.; Seckmeyer, G.; Thiel, S.; Kazadzis, S.; Redondas, A.; Kift, R.; Kouremeti, N.; Schallhart, B.; Schmitt, R.; Pisulla, D.; Diaz, J.P.; Garcia, O.; Diaz Rodriguez, A.M.; Smedley, A.;doi: 10.1117/12.619925 , 10.15488/8765
Spectral measurements of direct solar ultraviolet irradiance are very important for many applications in the field of atmospheric sciences. Despite its usefulness, few UV monitoring sites include such measurements in their regular observational programs. Standardization of measurement methodologies and calibration techniques is required in order to reach the quality standard of global irradiance measurements. This study presents preliminary results from an intercomparison campaign of seven UV spectroradiometers of different types that took place at the high altitude site of Izana (28.3°N, 16.5°W, 2367 m above sea level), in Tenerife, Canary Islands in June 2005. The campaign is focused primarily on spectral measurements of direct solar irradiance. Among the objectives is to improve the quality of direct solar irradiance spectral measurements, through instrumental modifications and standardization of calibration techniques, as well as to assess the significance of the differences in the field of view of the spectroradiometers with respect to aerosols and to solar zenith angle. Under the low aerosol conditions prevailing during this campaign, we aimed to establish the differences among the various instruments under "ideal" conditions. Moreover, continuous measurements under stable total ozone and aerosol optical depth will be used to determine the extraterrestrial solar flux, through the application of the Langley extrapolation method. A first comparison of sky radiance measurements of the zenith light and of various directions on the sky show effects of sensitivity to polarization of one type of instruments and the variability of the provisional radiance calibration of 4 instruments.
https://www.repo.uni... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2005Data sources: Recolector de Ciencia Abierta, RECOLECTAThe University of Manchester - Institutional RepositoryConference object . 2005Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1117/12.619925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Average influence Average impulse Average Powered by BIP!
visibility 535visibility views 535 download downloads 556 Powered bymore_vert https://www.repo.uni... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2005Data sources: Recolector de Ciencia Abierta, RECOLECTAThe University of Manchester - Institutional RepositoryConference object . 2005Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1117/12.619925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 Spain, GermanyPublisher:MDPI AG Funded by:EC | ATMO-ACCESSEC| ATMO-ACCESSMahesh Kumar Sha; Martine De Mazière; Justus Notholt; Thomas Blumenstock; Pieter Bogaert; Pepijn Cardoen; Huilin Chen; Filip Desmet; Omaira García; David W. T. Griffith; Frank Hase; Pauli Heikkinen; Benedikt Herkommer; Christian Hermans; Nicholas Jones; Rigel Kivi; Nicolas Kumps; Bavo Langerock; Neil A. Macleod; Jamal Makkor; Winfried Markert; Christof Petri; Qiansi Tu; Corinne Vigouroux; Damien Weidmann; Minqiang Zhou;handle: 20.500.11765/16226
The Total Carbon Column Observing Network (TCCON) and the Infrared Working Group of the Network for the Detection of Atmospheric Composition Change (NDACC-IRWG) are two ground-based networks that provide the retrieved concentrations of up to 30 atmospheric trace gases, using solar absorption spectrometry. Both networks provide reference measurements for the validation of satellites and models. TCCON concentrates on long-lived greenhouse gases (GHGs) for carbon cycle studies and validation. The number of sites is limited, and the geographical coverage is uneven, covering mainly Europe and the USA. A better distribution of stations is desired to improve the representativeness of the data for various atmospheric conditions and surface conditions and to cover a large latitudinal distribution. The two successive Fiducial Reference Measurements for Greenhouse Gases European Space Agency projects (FRM4GHG and FRM4GHG2) aim at the assessment of several low-cost portable instruments for precise measurements of GHGs to complement the existing ground-based sites. Several types of low spectral resolution Fourier transform infrared (FTIR) spectrometers manufactured by Bruker, namely an EM27/SUN, a Vertex70, a fiber-coupled IRCube, and a Laser Heterodyne spectro-Radiometer (LHR) developed by UK Rutherford Appleton Laboratory are the participating instruments to achieve the Fiducial Reference Measurements (FRMs) status. Intensive side-by-side measurements were performed using all four instruments next to the Bruker IFS 125HR high spectral resolution FTIR, performing measurements in the NIR (TCCON configuration) and MIR (NDACC configuration) spectral range. The remote sensing measurements were complemented by AirCore launches, which provided in situ vertical profiles of target gases traceable to the World Meteorological Organization (WMO) reference scale. The results of the intercomparisons are shown and discussed. Except for the EM27/SUN, all other instruments, including the reference TCCON spectrometer, needed modifications during the campaign period. The EM27/SUN and the Vertex70 provided stable and precise measurements of the target gases during the campaign with quantified small biases. As part of the FRM4GHG project, one EM27/SUN is now used as a travel standard for the verification of column-integrated GHG measurements. The extension of the Vertex70 to the MIR provides the opportunity to retrieve additional concentrations of N2O, CH4, HCHO, and OCS. These MIR data products are comparable to the retrieval results from the high-resolution IFS 125HR spectrometer as operated by the NDACC. Our studies show the potential for such types of spectrometers to be used as a travel standard for the MIR species. An enclosure system with a compact solar tracker and meteorological station has been developed to house the low spectral resolution portable FTIR systems for performing solar absorption measurements. This helps the spectrometers to be mobile and enables autonomous operation, which will help to complement the TCCON and NDACC networks by extending the observational capabilities at new sites for the observation of GHGs and additional air quality gases. The development of the retrieval software allows comparable processing of the Vertex70 type of spectra as the EM27/SUN ones, therefore bringing them under the umbrella of the COllaborative Carbon Column Observing Network (COCCON). A self-assessment following the CEOS-FRM Maturity Matrix shows that the COCCON is able to provide GHG data products of FRM quality and can be used for either short-term campaigns or long-term measurements to complement the high-resolution FTIR networks.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs16183525&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
visibility 46visibility views 46 download downloads 111 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs16183525&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 SpainPublisher:Copernicus GmbH Robin Björklund; Corinne Vigouroux; Peter Effertz; Omaira Garcia; Alex Geddes; James Hannigan; Koji Miyagawa; Michael Kotkamp; Bavo Langerock; Gerald Nedoluha; Ivan Ortega; Irina Petropavlovskikh; Deniz Poyraz; Richard Querel; John Robinson; Hisako Shiona; Dan Smale; Penny Smale; Roeland Van Malderen; Martine De Mazière;handle: 20.500.11765/15373
Abstract. Long-term ground-based ozone measurements are crucial to study the recovery of stratospheric ozone as well as the trends of tropospheric ozone. This study is performed in the context of the LOTUS (Long-term Ozone Trends and Uncertainties in the Stratosphere) and TOAR-II (Tropospheric Ozone Assessment Report, phase II) initiatives. We perform an intercomparison study of total column ozone and multiple partial ozone columns between the ground-based measurements available at the Lauder station from 2000 to 2022, which are the Fourier transform infrared (FTIR) spectrometer, Dobson Umkehr, ozonesonde, lidar, and the microwave radiometer. We compare partial columns, defined to provide independent information: one tropospheric and three stratospheric columns. The intercomparison is analyzed using the median of relative differences (the bias) of FTIR with each of the other measurements, the scaled Median Absolute deviation (MADs), and a trend of these differences (measurement drift). The total column shows a bias and strong scatter well within the combined systematic and random uncertainties respectively. There is however a drift of 0.6±0.5 %/decade if we consider the full time series. In the troposphere we find a low bias of -1.9 % with the ozonesondes. No drift is found between the three instruments in the troposphere, which is good for trend studies within TOAR-II. In both the lower and upper stratosphere, we get a negative bias for all instruments with respect to FTIR (between -1.2 % and -6.8 %), but all are within the range of the systematic uncertainties. In the middle stratosphere we seem to find a negative bias of around -5.2 to -6.6 %, pointing towards too high values for FTIR in this partial column. We find no significant drift in the stratosphere between ozonesonde and FTIR for all partial columns. We do observe drift between the FTIR and Umkehr partial columns in the lower and upper stratospheres (2.6±1.1 %/decade and -3.2±0.9 %/decade), with lidar in the midle and upper stratosphere (2.1±0.8 %/decade and -3.7±1.2 %/decade), and with MWR in the midle stratosphere (3.1±1.7 %/decade). These drifts point to the fact that the different observed trends in LOTUS are not due to different sampling, vertical sensitivity or time periods and gaps. However, the difference in trends in LOTUS is reduced by applying a new FTIR retrieval strategy, which changes inputs such as the choice of microwindows, spectroscopy from HITRAN2008 to HITRAN2020, and the regularization method.
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivo Climatológico y Meteorológico Institucional de AEMETPreprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-2668&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
visibility 174visibility views 174 download downloads 208 Powered bymore_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivo Climatológico y Meteorológico Institucional de AEMETPreprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-2668&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Germany, Germany, Spain, Canada, France, SpainPublisher:MDPI AG Funded by:ARC | The carbon cycle and clim..., ARC | High resolution Fourier t..., ARC | Future Fellowships - Gran... +3 projectsARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Future Fellowships - Grant ID: FT180100327 ,NSERC ,EC| EMME-CARE ,ARC| Atmospheric composition and climate change: a southern hemisphere perspectiveAuthors: Vandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne; Buschmann, Matthias; +31 AuthorsVandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne; Buschmann, Matthias; Deutscher, Nicholas M.; Feist, Dietrich G.; García, Omaira E.; Hannigan, James W.; Hase, Frank; Kivi, Rigel; Kumps, Nicolas; Makarova, Maria V.; Millet, Dylan B.; Morino, Isamu; Nagahama, Tomoo; Notholt, Justus; Ohyama, Hirofumi; Ortega, Ivan; Petri, Christof; Rettinger, Markus; Schneider, Matthias; Servais, Christian P.; Sha, Mahesh K.; Shiomi, Kei; Smale, Dan; Strong, Kimberly; Sussmann, Ralf; Té, Yao; Velazco, Voltaire A.; Vrekoussis, Mihalis; Warneke, Thorsten; Wells, Kelley C.; Wunch, Debra; Zhou, Minqiang; De Mazière, Martine;Nitrous oxide (N2O) is the third most abundant anthropogenous greenhouse gas (after carbon dioxide and methane), with a long atmospheric lifetime and a continuously increasing concentration due to human activities, making it an important gas to monitor. In this work, we present a new method to retrieve N2O concentration profiles (with up to two degrees of freedom) from each cloud-free satellite observation by the Infrared Atmospheric Sounding Interferometer (IASI), using spectral micro-windows in the N2O ν3 band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N2O profiles and integrated partial columns has been produced and validated with collocated ground-based Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) data. The importance of consistency in the ancillary data used for the retrieval for generating consistent time series has been demonstrated. The Nitrous Oxide Profiling from Infrared Radiances (NOPIR) N2O partial columns are of very good quality, with a positive bias of 1.8 to 4% with respect to the ground-based data, which is less than the sum of uncertainties of the compared values. At high latitudes, the comparisons are a bit worse, due to either a known bias in the ground-based data, or to a higher uncertainty in both ground-based and satellite retrievals.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2072-4292/14/8/1810/pdfData sources: Multidisciplinary Digital Publishing InstituteArchive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Toronto: Research Repository T-SpaceArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/1807/111041Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL CY Cergy Paris UniversitéArticle . 2022License: CC BYData sources: HAL CY Cergy Paris Universitéadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
visibility 448visibility views 448 download downloads 592 Powered bymore_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2072-4292/14/8/1810/pdfData sources: Multidisciplinary Digital Publishing InstituteArchive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Toronto: Research Repository T-SpaceArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/1807/111041Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL CY Cergy Paris UniversitéArticle . 2022License: CC BYData sources: HAL CY Cergy Paris Universitéadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 Germany, Spain, France, Spain, GermanyPublisher:Copernicus GmbH Funded by:ARC | The carbon cycle and clim..., ARC | Atmospheric composition a..., ARC | High resolution Fourier t... +1 projectsARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| Atmospheric composition and climate change: a southern hemisphere perspective ,ARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Future Fellowships - Grant ID: FT180100327M. Dogniaux; C. Crevoisier; R. Armante; V. Capelle; T. Delahaye; V. Cassé; M. De Mazière; N. M. Deutscher; N. M. Deutscher; D. G. Feist; D. G. Feist; D. G. Feist; O. E. Garcia; D. W. T. Griffith; F. Hase; L. T. Iraci; R. Kivi; I. Morino; J. Notholt; D. F. Pollard; C. M. Roehl; K. Shiomi; K. Strong; Y. Té; V. A. Velazco; T. Warneke;Abstract. A better understanding of greenhouse gas surface sources and sinks is required in order to address the global challenge of climate change. Space-borne remote estimations of greenhouse gas atmospheric concentrations can offer the global coverage that is necessary to improve the constraint on their fluxes, thus enabling a better monitoring of anthropogenic emissions. In this work, we introduce the Adaptable 4A Inversion (5AI) inverse scheme that aims to retrieve geophysical parameters from any remote sensing observation. The algorithm is based on the Optimal Estimation algorithm, relying on the Operational version of the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer forward model along with the Gestion et Étude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information (GEISA) spectroscopic database. Here, the 5AI scheme is applied to retrieve the column-averaged dry air mole fraction of carbon dioxide (XCO2) from a sample of measurements performed by the Orbiting Carbon Observatory-2 (OCO-2) mission. Those have been selected as a compromise between coverage and the lowest aerosol content possible, so that the impact of scattering particles can be neglected, for computational time purposes. For air masses below 3.0, 5AI XCO2 retrievals successfully capture the latitudinal variations of CO2 and its seasonal cycle and long-term increasing trend. Comparison with ground-based observations from the Total Carbon Column Observing Network (TCCON) yields a bias of 1.30±1.32 ppm (parts per million), which is comparable to the standard deviation of the Atmospheric CO2 Observations from Space (ACOS) official products over the same set of soundings. These nonscattering 5AI results, however, exhibit an average difference of about 3 ppm compared to ACOS results. We show that neglecting scattering particles for computational time purposes can explain most of this difference that can be fully corrected by adding to OCO-2 measurements an average calculated–observed spectral residual correction, which encompasses all the inverse setup and forward differences between 5AI and ACOS. These comparisons show the reliability of 5AI as an optimal estimation implementation that is easily adaptable to any instrument designed to retrieve column-averaged dry air mole fractions of greenhouse gases.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Measurement Techniques (AMT)Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amt-14-4689-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 496visibility views 496 download downloads 1,164 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Measurement Techniques (AMT)Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amt-14-4689-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, Spain, SpainPublisher:MDPI AG Funded by:UKRI | The Global Methane Budget, EC | VERIFY, EC | ATMO-ACCESS +6 projectsUKRI| The Global Methane Budget ,EC| VERIFY ,EC| ATMO-ACCESS ,DFG ,ANR| MERCI-CO2 ,EC| PAUL ,EC| CoSense4Climate ,GSRI ,EC| MARSUMahesh Kumar Sha; Saswati Das; Matthias M. Frey; Darko Dubravica; Carlos Alberti; Bianca C. Baier; Dimitrios Balis; Alejandro Bezanilla; Thomas Blumenstock; Hartmut Boesch; Zhaonan Cai; Jia Chen; Alexandru Dandocsi; Martine De Mazière; Stefani Foka; Omaira García; Lawson David Gillespie; Konstantin Gribanov; Jochen Gross; Michel Grutter; Philip Handley; Frank Hase; Pauli Heikkinen; Neil Humpage; Nicole Jacobs; Sujong Jeong; Tomi Karppinen; Matthäus Kiel; Rigel Kivi; Bavo Langerock; Joshua Laughner; Morgan Lopez; Maria Makarova; Marios Mermigkas; Isamu Morino; Nasrin Mostafavipak; Anca Nemuc; Timothy Newberger; Hirofumi Ohyama; William Okello; Gregory Osterman; Hayoung Park; Razvan Pirloaga; David F. Pollard; Uwe Raffalski; Michel Ramonet; Eliezer Sepúlveda; William R. Simpson; Wolfgang Stremme; Colm Sweeney; Noemie Taquet; Chrysanthi Topaloglou; Qiansi Tu; Thorsten Warneke; Debra Wunch; Vyacheslav Zakharov; Minqiang Zhou;handle: 20.500.11765/16656
The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO). The fiducial reference measurements of these gases from the COCCON complement the TCCON and NDACC-IRWG data. This study shows the application of COCCON data for the validation of existing greenhouse gas satellite products. This study includes the validation of XCH4 and XCO products from the European Copernicus Sentinel-5 Precursor (S5P) mission, XCO2 products from the American Orbiting Carbon Observatory-2 (OCO-2) mission, and XCO2 and XCH4 products from the Japanese Greenhouse gases Observing SATellite (GOSAT). A total of 27 datasets contributed to this study; some of these were collected in the framework of campaign activities and covered only a short time period. In addition, several permanent stations provided long-term observations. The random uncertainties in the validation results, specifically for S5P with a lot of coincidences pairs, are found to be similar to the comparison with the TCCON. The comparison results of OCO-2 land nadir and land glint observation modes to the COCCON on a global scale, despite limited coincidences, are very promising. The stations can, therefore, expand on the coverage of the already existing ground-based reference remote sensing sites from the TCCON and the NDACC network. The COCCON data can be used for future satellite and model validation studies and carbon cycle studies.
Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs17050734&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs17050734&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014 SpainPublisher:Copernicus GmbH Funded by:SGOV | ESTUDIO DE LA VARIABILIDA..., SGOV | HACIA UNA VALIDACION OPER...SGOV| ESTUDIO DE LA VARIABILIDAD ESPACIO-TEMPORAL Y CARACTERIZACION DEL CONTENIDO DE VAPOR DE AGUA PRECIPITABLE (PWV) MEDIANTE EL USO DE DIVERSAS TECNICAS DE MEDIDA. PROSPECTIVA Y U ,SGOV| HACIA UNA VALIDACION OPERACIONAL DE LOS PRODUCTOS DE GASES TRAZA (NIVEL 2) DEL IASIJuan José de Bustos; Emilio Cuevas; A. M. de Frutos; Omaira García; Victoria E. Cachorro; P. Pallé; Rosa Delia García; Rosa Delia García; P. M. Romero-Campos;Abstract. This paper presents the re-construction of the 80 year time series of daily global shortwave downward radiation (SDR) at the subtropical high-mountain Izaña Atmospheric Observatory (IZO, Spain). For this purpose, we combine SDR estimates from sunshine duration (SD) data using the Ångström–Prescott method over the 1933/1991 period, and SDR observations directly performed by pyranometers between 1992 and 2013. Since SDR measurements have been used as a reference, a strict quality control has been applied, when it was not possible data have been re-calibrated by using the LibRadtran model. By comparing to high quality SDR measurements, the precision and consistency over time of SDR estimations from SD data have successfully been documented. We obtain a overall root mean square error (RMSE) of 9.2% and an agreement between the variances of SDR estimations and SDR measurements within 92% (correlation coefficient of 0.96). Nonetheless, this agreement significantly increases when the SDR estimation is done considering different daily fractions of clear sky (FCS). In that case, RMSE is reduced by half, up to about 4.5%, when considering percentages of FCS > 40% (90% of days in the testing period). Furthermore, we prove that the SDR estimations can monitor the SDR anomalies in consistency with SDR measurements and, then, can be suitable for re-constructing solar radiation time series. The re-constructed IZO global SDR time series between 1933 and 2013 confirms discontinuities and periods of increases/decreases of solar radiation at Earth's surface observed at a global scale, such as the early brightening, dimming and brightening. This fact supports the consistency of the IZO SDR time series presented in this work, which may be a reference for solar radiation studies in the subtropical North Atlantic region.
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/amtd-7...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Measurement Techniques (AMT)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2014Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amtd-7-4191-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/amtd-7...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Measurement Techniques (AMT)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2014Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/amtd-7-4191-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022 United States, Australia, Germany, France, Australia, United StatesPublisher:Copernicus GmbH Funded by:ARC | High resolution Fourier t..., ARC | Discovery Projects - Gran..., ARC | The carbon cycle and clim... +7 projectsARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Discovery Projects - Grant ID: DP190100180 ,ARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100203 ,EC| CoCO2 ,ARC| Discovery Projects - Grant ID: DP140101552 ,EC| EMME-CARE ,ARC| Atmospheric composition and climate change: a southern hemisphere perspective ,NSERC ,ARC| Future Fellowships - Grant ID: FT180100327B. Byrne; D. F. Baker; S. Basu; S. Basu; M. Bertolacci; K. W. Bowman; K. W. Bowman; D. Carroll; D. Carroll; A. Chatterjee; F. Chevallier; P. Ciais; N. Cressie; N. Cressie; D. Crisp; S. Crowell; F. Deng; Z. Deng; N. M. Deutscher; M. K. Dubey; S. Feng; O. E. García; D. W. T. Griffith; B. Herkommer; L. Hu; A. R. Jacobson; A. R. Jacobson; R. Janardanan; S. Jeong; M. S. Johnson; D. B. A. Jones; R. Kivi; J. Liu; J. Liu; Z. Liu; S. Maksyutov; J. B. Miller; S. M. Miller; I. Morino; J. Notholt; T. Oda; T. Oda; C. W. O'Dell; Y.-S. Oh; H. Ohyama; P. K. Patra; H. Peiro; C. Petri; S. Philip; D. F. Pollard; B. Poulter; M. Remaud; A. Schuh; M. K. Sha; K. Shiomi; K. Strong; C. Sweeney; Y. Té; H. Tian; H. Tian; V. A. Velazco; V. A. Velazco; M. Vrekoussis; M. Vrekoussis; T. Warneke; J. R. Worden; D. Wunch; Y. Yao; J. Yun; A. Zammit-Mangion; N. Zeng; N. Zeng;Abstract. Accurate accounting of emissions and removals of CO2 is critical for the planning and verification of emission reduction targets in support of the Paris Agreement. Here, we present a pilot dataset of country-specific net carbon exchange (NCE; fossil plus terrestrial ecosystem fluxes) and terrestrial carbon stock changes aimed at informing countries’ carbon budgets. These estimates are based on "top-down" NCE outputs from the v10 Orbiting Carbon Observatory (OCO-2) modeling intercomparison project (MIP), wherein an ensemble of inverse modeling groups conducted standardized experiments assimilating OCO-2 column-averaged dry-air mole fraction (XCO2) retrievals (ACOS v10), in situ CO2 measurements, or combinations of these data. The v10 OCO-2 MIP NCE estimates are combined with "bottom-up" estimates of fossil fuel emissions and lateral carbon fluxes to estimate changes in terrestrial carbon stocks, which are impacted by anthropogenic and natural drivers. These flux and stock change estimates are reported annually (2015–2020) as both a global 1° × 1° gridded dataset and as a country-level dataset. Across the v10 OCO-2 MIP experiments, we obtain increases in the ensemble median terrestrial carbon stocks of 3.29–4.58 PgCO2 yr-1 (0.90–1.25 PgC yr-1). This is a result of broad increases in terrestrial carbon stocks across the northern extratropics, while the tropics generally have stock losses but with considerable regional variability and differences between v10 OCO-2 MIP experiments. We discuss the state of the science for tracking emissions and removals using top-down methods, including current limitations and future developments towards top-down monitoring and verification systems.
Earth System Science... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)San José State University ScholarWorksArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2022 . Peer-reviewedData sources: European Union Open Data PortalEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-2022-213&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 66 citations 66 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Earth System Science... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)San José State University ScholarWorksArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04047657Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essd-2...Article . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAEarth System Science Data (ESSD)Article . 2022 . Peer-reviewedData sources: European Union Open Data PortalEarth System Science Data (ESSD)Article . 2023 . Peer-reviewedData sources: European Union Open Data PortalUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book , Article , Journal 2005Embargo end date: 10 Dec 2019 Spain, United KingdomPublisher:SPIE Bais, A.; Blumthaler, M.; Webb, A.; Seckmeyer, G.; Thiel, S.; Kazadzis, S.; Redondas, A.; Kift, R.; Kouremeti, N.; Schallhart, B.; Schmitt, R.; Pisulla, D.; Diaz, J.P.; Garcia, O.; Diaz Rodriguez, A.M.; Smedley, A.;doi: 10.1117/12.619925 , 10.15488/8765
Spectral measurements of direct solar ultraviolet irradiance are very important for many applications in the field of atmospheric sciences. Despite its usefulness, few UV monitoring sites include such measurements in their regular observational programs. Standardization of measurement methodologies and calibration techniques is required in order to reach the quality standard of global irradiance measurements. This study presents preliminary results from an intercomparison campaign of seven UV spectroradiometers of different types that took place at the high altitude site of Izana (28.3°N, 16.5°W, 2367 m above sea level), in Tenerife, Canary Islands in June 2005. The campaign is focused primarily on spectral measurements of direct solar irradiance. Among the objectives is to improve the quality of direct solar irradiance spectral measurements, through instrumental modifications and standardization of calibration techniques, as well as to assess the significance of the differences in the field of view of the spectroradiometers with respect to aerosols and to solar zenith angle. Under the low aerosol conditions prevailing during this campaign, we aimed to establish the differences among the various instruments under "ideal" conditions. Moreover, continuous measurements under stable total ozone and aerosol optical depth will be used to determine the extraterrestrial solar flux, through the application of the Langley extrapolation method. A first comparison of sky radiance measurements of the zenith light and of various directions on the sky show effects of sensitivity to polarization of one type of instruments and the variability of the provisional radiance calibration of 4 instruments.
https://www.repo.uni... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2005Data sources: Recolector de Ciencia Abierta, RECOLECTAThe University of Manchester - Institutional RepositoryConference object . 2005Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1117/12.619925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 7 citations 7 popularity Average influence Average impulse Average Powered by BIP!
visibility 535visibility views 535 download downloads 556 Powered bymore_vert https://www.repo.uni... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2005Data sources: Recolector de Ciencia Abierta, RECOLECTAThe University of Manchester - Institutional RepositoryConference object . 2005Data sources: The University of Manchester - Institutional Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1117/12.619925&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 Spain, GermanyPublisher:MDPI AG Funded by:EC | ATMO-ACCESSEC| ATMO-ACCESSMahesh Kumar Sha; Martine De Mazière; Justus Notholt; Thomas Blumenstock; Pieter Bogaert; Pepijn Cardoen; Huilin Chen; Filip Desmet; Omaira García; David W. T. Griffith; Frank Hase; Pauli Heikkinen; Benedikt Herkommer; Christian Hermans; Nicholas Jones; Rigel Kivi; Nicolas Kumps; Bavo Langerock; Neil A. Macleod; Jamal Makkor; Winfried Markert; Christof Petri; Qiansi Tu; Corinne Vigouroux; Damien Weidmann; Minqiang Zhou;handle: 20.500.11765/16226
The Total Carbon Column Observing Network (TCCON) and the Infrared Working Group of the Network for the Detection of Atmospheric Composition Change (NDACC-IRWG) are two ground-based networks that provide the retrieved concentrations of up to 30 atmospheric trace gases, using solar absorption spectrometry. Both networks provide reference measurements for the validation of satellites and models. TCCON concentrates on long-lived greenhouse gases (GHGs) for carbon cycle studies and validation. The number of sites is limited, and the geographical coverage is uneven, covering mainly Europe and the USA. A better distribution of stations is desired to improve the representativeness of the data for various atmospheric conditions and surface conditions and to cover a large latitudinal distribution. The two successive Fiducial Reference Measurements for Greenhouse Gases European Space Agency projects (FRM4GHG and FRM4GHG2) aim at the assessment of several low-cost portable instruments for precise measurements of GHGs to complement the existing ground-based sites. Several types of low spectral resolution Fourier transform infrared (FTIR) spectrometers manufactured by Bruker, namely an EM27/SUN, a Vertex70, a fiber-coupled IRCube, and a Laser Heterodyne spectro-Radiometer (LHR) developed by UK Rutherford Appleton Laboratory are the participating instruments to achieve the Fiducial Reference Measurements (FRMs) status. Intensive side-by-side measurements were performed using all four instruments next to the Bruker IFS 125HR high spectral resolution FTIR, performing measurements in the NIR (TCCON configuration) and MIR (NDACC configuration) spectral range. The remote sensing measurements were complemented by AirCore launches, which provided in situ vertical profiles of target gases traceable to the World Meteorological Organization (WMO) reference scale. The results of the intercomparisons are shown and discussed. Except for the EM27/SUN, all other instruments, including the reference TCCON spectrometer, needed modifications during the campaign period. The EM27/SUN and the Vertex70 provided stable and precise measurements of the target gases during the campaign with quantified small biases. As part of the FRM4GHG project, one EM27/SUN is now used as a travel standard for the verification of column-integrated GHG measurements. The extension of the Vertex70 to the MIR provides the opportunity to retrieve additional concentrations of N2O, CH4, HCHO, and OCS. These MIR data products are comparable to the retrieval results from the high-resolution IFS 125HR spectrometer as operated by the NDACC. Our studies show the potential for such types of spectrometers to be used as a travel standard for the MIR species. An enclosure system with a compact solar tracker and meteorological station has been developed to house the low spectral resolution portable FTIR systems for performing solar absorption measurements. This helps the spectrometers to be mobile and enables autonomous operation, which will help to complement the TCCON and NDACC networks by extending the observational capabilities at new sites for the observation of GHGs and additional air quality gases. The development of the retrieval software allows comparable processing of the Vertex70 type of spectra as the EM27/SUN ones, therefore bringing them under the umbrella of the COllaborative Carbon Column Observing Network (COCCON). A self-assessment following the CEOS-FRM Maturity Matrix shows that the COCCON is able to provide GHG data products of FRM quality and can be used for either short-term campaigns or long-term measurements to complement the high-resolution FTIR networks.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
visibility 46visibility views 46 download downloads 111 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2024License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2024Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs16183525&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2023 SpainPublisher:Copernicus GmbH Robin Björklund; Corinne Vigouroux; Peter Effertz; Omaira Garcia; Alex Geddes; James Hannigan; Koji Miyagawa; Michael Kotkamp; Bavo Langerock; Gerald Nedoluha; Ivan Ortega; Irina Petropavlovskikh; Deniz Poyraz; Richard Querel; John Robinson; Hisako Shiona; Dan Smale; Penny Smale; Roeland Van Malderen; Martine De Mazière;handle: 20.500.11765/15373
Abstract. Long-term ground-based ozone measurements are crucial to study the recovery of stratospheric ozone as well as the trends of tropospheric ozone. This study is performed in the context of the LOTUS (Long-term Ozone Trends and Uncertainties in the Stratosphere) and TOAR-II (Tropospheric Ozone Assessment Report, phase II) initiatives. We perform an intercomparison study of total column ozone and multiple partial ozone columns between the ground-based measurements available at the Lauder station from 2000 to 2022, which are the Fourier transform infrared (FTIR) spectrometer, Dobson Umkehr, ozonesonde, lidar, and the microwave radiometer. We compare partial columns, defined to provide independent information: one tropospheric and three stratospheric columns. The intercomparison is analyzed using the median of relative differences (the bias) of FTIR with each of the other measurements, the scaled Median Absolute deviation (MADs), and a trend of these differences (measurement drift). The total column shows a bias and strong scatter well within the combined systematic and random uncertainties respectively. There is however a drift of 0.6±0.5 %/decade if we consider the full time series. In the troposphere we find a low bias of -1.9 % with the ozonesondes. No drift is found between the three instruments in the troposphere, which is good for trend studies within TOAR-II. In both the lower and upper stratosphere, we get a negative bias for all instruments with respect to FTIR (between -1.2 % and -6.8 %), but all are within the range of the systematic uncertainties. In the middle stratosphere we seem to find a negative bias of around -5.2 to -6.6 %, pointing towards too high values for FTIR in this partial column. We find no significant drift in the stratosphere between ozonesonde and FTIR for all partial columns. We do observe drift between the FTIR and Umkehr partial columns in the lower and upper stratospheres (2.6±1.1 %/decade and -3.2±0.9 %/decade), with lidar in the midle and upper stratosphere (2.1±0.8 %/decade and -3.7±1.2 %/decade), and with MWR in the midle stratosphere (3.1±1.7 %/decade). These drifts point to the fact that the different observed trends in LOTUS are not due to different sampling, vertical sensitivity or time periods and gaps. However, the difference in trends in LOTUS is reduced by applying a new FTIR retrieval strategy, which changes inputs such as the choice of microwindows, spectroscopy from HITRAN2008 to HITRAN2020, and the regularization method.
https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivo Climatológico y Meteorológico Institucional de AEMETPreprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-2668&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Top 10% influence Average impulse Average Powered by BIP!
visibility 174visibility views 174 download downloads 208 Powered bymore_vert https://doi.org/10.5... arrow_drop_down https://doi.org/10.5194/egusph...Article . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAPreprint . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAArchivo Climatológico y Meteorológico Institucional de AEMETPreprint . 2023add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Germany, Germany, Spain, Canada, France, SpainPublisher:MDPI AG Funded by:ARC | The carbon cycle and clim..., ARC | High resolution Fourier t..., ARC | Future Fellowships - Gran... +3 projectsARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Future Fellowships - Grant ID: FT180100327 ,NSERC ,EC| EMME-CARE ,ARC| Atmospheric composition and climate change: a southern hemisphere perspectiveAuthors: Vandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne; Buschmann, Matthias; +31 AuthorsVandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne; Buschmann, Matthias; Deutscher, Nicholas M.; Feist, Dietrich G.; García, Omaira E.; Hannigan, James W.; Hase, Frank; Kivi, Rigel; Kumps, Nicolas; Makarova, Maria V.; Millet, Dylan B.; Morino, Isamu; Nagahama, Tomoo; Notholt, Justus; Ohyama, Hirofumi; Ortega, Ivan; Petri, Christof; Rettinger, Markus; Schneider, Matthias; Servais, Christian P.; Sha, Mahesh K.; Shiomi, Kei; Smale, Dan; Strong, Kimberly; Sussmann, Ralf; Té, Yao; Velazco, Voltaire A.; Vrekoussis, Mihalis; Warneke, Thorsten; Wells, Kelley C.; Wunch, Debra; Zhou, Minqiang; De Mazière, Martine;Nitrous oxide (N2O) is the third most abundant anthropogenous greenhouse gas (after carbon dioxide and methane), with a long atmospheric lifetime and a continuously increasing concentration due to human activities, making it an important gas to monitor. In this work, we present a new method to retrieve N2O concentration profiles (with up to two degrees of freedom) from each cloud-free satellite observation by the Infrared Atmospheric Sounding Interferometer (IASI), using spectral micro-windows in the N2O ν3 band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N2O profiles and integrated partial columns has been produced and validated with collocated ground-based Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) data. The importance of consistency in the ancillary data used for the retrieval for generating consistent time series has been demonstrated. The Nitrous Oxide Profiling from Infrared Radiances (NOPIR) N2O partial columns are of very good quality, with a positive bias of 1.8 to 4% with respect to the ground-based data, which is less than the sum of uncertainties of the compared values. At high latitudes, the comparisons are a bit worse, due to either a known bias in the ground-based data, or to a higher uncertainty in both ground-based and satellite retrievals.
Remote Sensing arrow_drop_down Remote SensingOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2072-4292/14/8/1810/pdfData sources: Multidisciplinary Digital Publishing InstituteArchive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Toronto: Research Repository T-SpaceArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/1807/111041Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL CY Cergy Paris UniversitéArticle . 2022License: CC BYData sources: HAL CY Cergy Paris Universitéadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
visibility 448visibility views 448 download downloads 592 Powered bymore_vert Remote Sensing arrow_drop_down Remote SensingOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2072-4292/14/8/1810/pdfData sources: Multidisciplinary Digital Publishing InstituteArchive de l'Observatoire de Paris (HAL)Article . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Toronto: Research Repository T-SpaceArticle . 2022License: CC BYFull-Text: http://hdl.handle.net/1807/111041Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://cnrs.hal.science/hal-03958606Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022Data sources: Recolector de Ciencia Abierta, RECOLECTAHAL CY Cergy Paris UniversitéArticle . 2022License: CC BYData sources: HAL CY Cergy Paris Universitéadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs14081810&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 Germany, Spain, France, Spain, GermanyPublisher:Copernicus GmbH Funded by:ARC | The carbon cycle and clim..., ARC | Atmospheric composition a..., ARC | High resolution Fourier t... +1 projectsARC| The carbon cycle and climate: new approaches to atmospheric measurements and modelling ,ARC| Atmospheric composition and climate change: a southern hemisphere perspective ,ARC| High resolution Fourier transform infrared spectrometer for atmospheric remote sensing and laboratory spectroscopy ,ARC| Future Fellowships - Grant ID: FT180100327M. Dogniaux; C. Crevoisier; R. Armante; V. Capelle; T. Delahaye; V. Cassé; M. De Mazière; N. M. Deutscher; N. M. Deutscher; D. G. Feist; D. G. Feist; D. G. Feist; O. E. Garcia; D. W. T. Griffith; F. Hase; L. T. Iraci; R. Kivi; I. Morino; J. Notholt; D. F. Pollard; C. M. Roehl; K. Shiomi; K. Strong; Y. Té; V. A. Velazco; T. Warneke;Abstract. A better understanding of greenhouse gas surface sources and sinks is required in order to address the global challenge of climate change. Space-borne remote estimations of greenhouse gas atmospheric concentrations can offer the global coverage that is necessary to improve the constraint on their fluxes, thus enabling a better monitoring of anthropogenic emissions. In this work, we introduce the Adaptable 4A Inversion (5AI) inverse scheme that aims to retrieve geophysical parameters from any remote sensing observation. The algorithm is based on the Optimal Estimation algorithm, relying on the Operational version of the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer forward model along with the Gestion et Étude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information (GEISA) spectroscopic database. Here, the 5AI scheme is applied to retrieve the column-averaged dry air mole fraction of carbon dioxide (XCO2) from a sample of measurements performed by the Orbiting Carbon Observatory-2 (OCO-2) mission. Those have been selected as a compromise between coverage and the lowest aerosol content possible, so that the impact of scattering particles can be neglected, for computational time purposes. For air masses below 3.0, 5AI XCO2 retrievals successfully capture the latitudinal variations of CO2 and its seasonal cycle and long-term increasing trend. Comparison with ground-based observations from the Total Carbon Column Observing Network (TCCON) yields a bias of 1.30±1.32 ppm (parts per million), which is comparable to the standard deviation of the Atmospheric CO2 Observations from Space (ACOS) official products over the same set of soundings. These nonscattering 5AI results, however, exhibit an average difference of about 3 ppm compared to ACOS results. We show that neglecting scattering particles for computational time purposes can explain most of this difference that can be fully corrected by adding to OCO-2 measurements an average calculated–observed spectral residual correction, which encompasses all the inverse setup and forward differences between 5AI and ACOS. These comparisons show the reliability of 5AI as an optimal estimation implementation that is easily adaptable to any instrument designed to retrieve column-averaged dry air mole fractions of greenhouse gases.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Measurement Techniques (AMT)Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 496visibility views 496 download downloads 1,164 Powered bymore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archive de l'Observatoire de Paris (HAL)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Atmospheric Measurement Techniques (AMT)Article . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, Spain, SpainPublisher:MDPI AG Funded by:UKRI | The Global Methane Budget, EC | VERIFY, EC | ATMO-ACCESS +6 projectsUKRI| The Global Methane Budget ,EC| VERIFY ,EC| ATMO-ACCESS ,DFG ,ANR| MERCI-CO2 ,EC| PAUL ,EC| CoSense4Climate ,GSRI ,EC| MARSUMahesh Kumar Sha; Saswati Das; Matthias M. Frey; Darko Dubravica; Carlos Alberti; Bianca C. Baier; Dimitrios Balis; Alejandro Bezanilla; Thomas Blumenstock; Hartmut Boesch; Zhaonan Cai; Jia Chen; Alexandru Dandocsi; Martine De Mazière; Stefani Foka; Omaira García; Lawson David Gillespie; Konstantin Gribanov; Jochen Gross; Michel Grutter; Philip Handley; Frank Hase; Pauli Heikkinen; Neil Humpage; Nicole Jacobs; Sujong Jeong; Tomi Karppinen; Matthäus Kiel; Rigel Kivi; Bavo Langerock; Joshua Laughner; Morgan Lopez; Maria Makarova; Marios Mermigkas; Isamu Morino; Nasrin Mostafavipak; Anca Nemuc; Timothy Newberger; Hirofumi Ohyama; William Okello; Gregory Osterman; Hayoung Park; Razvan Pirloaga; David F. Pollard; Uwe Raffalski; Michel Ramonet; Eliezer Sepúlveda; William R. Simpson; Wolfgang Stremme; Colm Sweeney; Noemie Taquet; Chrysanthi Topaloglou; Qiansi Tu; Thorsten Warneke; Debra Wunch; Vyacheslav Zakharov; Minqiang Zhou;handle: 20.500.11765/16656
The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO). The fiducial reference measurements of these gases from the COCCON complement the TCCON and NDACC-IRWG data. This study shows the application of COCCON data for the validation of existing greenhouse gas satellite products. This study includes the validation of XCH4 and XCO products from the European Copernicus Sentinel-5 Precursor (S5P) mission, XCO2 products from the American Orbiting Carbon Observatory-2 (OCO-2) mission, and XCO2 and XCH4 products from the Japanese Greenhouse gases Observing SATellite (GOSAT). A total of 27 datasets contributed to this study; some of these were collected in the framework of campaign activities and covered only a short time period. In addition, several permanent stations provided long-term observations. The random uncertainties in the validation results, specifically for S5P with a lot of coincidences pairs, are found to be similar to the comparison with the TCCON. The comparison results of OCO-2 land nadir and land glint observation modes to the COCCON on a global scale, despite limited coincidences, are very promising. The stations can, therefore, expand on the coverage of the already existing ground-based reference remote sensing sites from the TCCON and the NDACC network. The COCCON data can be used for future satellite and model validation studies and carbon cycle studies.
Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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