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European Marine Science

Supporting data for "Latitudinal patterns in intertidal ecosystem structure in West Greenland suggest resilience to climate change"
Research datakeyboard_double_arrow_right Dataset 2020Publisher:ZenodoFunded by:EC | EdgeStress
EC| EdgeStress
Authors: Thyrring, Jakob; Wegeberg, Susse; Blicher, Martin E.; Krause-Jensen, Dorte; +6 Authors
Thyrring, Jakob; Wegeberg, Susse; Blicher, Martin E.; Krause-Jensen, Dorte; Høgslund, Signe; Olesen, Birgit; Wiktor Jr, Jozef; Mouritsen, Kim N.; Peck, Lloyd S.; Sejr, Mikael K.;
doi: 10.5281/zenodo.3920534 , 10.5281/zenodo.3920535
doi: 10.5281/zenodo.3920534 , 10.5281/zenodo.3920535
The data contains three supporting datasets: 1. Mid-intertidal data 2. Vertical transect data 3. GPS coordinates for all sites
ZENODOarrow_drop_down
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODOarrow_drop_down
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Fraction of spectral solar irradiance transmitted through snow and sea ice as measured in different depths under sea ice (transmittance) from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964482 , 10.1594/pangaea.964511
doi: 10.1594/pangaea.964482 , 10.1594/pangaea.964511
Transmitted solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
Data sources: Datacite
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
Data sources: Datacite
PANGAEA
Dataset . 2024
Data sources: PANGAEA
PANGAEA
Dataset . 2024
Data sources: PANGAEA
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
Data sources: Datacite
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
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PANGAEA
Dataset . 2024
Data sources: PANGAEA
PANGAEA
Dataset . 2024
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Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964398
doi: 10.1594/pangaea.964398
Incident solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Data sources: Datacite
PANGAEA
Dataset . 2024
Data sources: PANGAEA
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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PANGAEA
Dataset . 2024
Data sources: PANGAEA
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Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-8 on 2023-06-05, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964396
doi: 10.1594/pangaea.964396
Incident solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
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PANGAEA
Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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PANGAEA
Dataset . 2024
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Spectral solar radiation over and under sea ice from remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition
Research datakeyboard_double_arrow_right Collection , Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.962959
doi: 10.1594/pangaea.962959
Solar radiation over and under drifting sea ice was measured using RAMSES hyper-spectral radiometers (TriOS) mounted on the remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. All data are given in full spectral resolution interpolated to 1.0 nm, integrated over the entire wavelength range (broadband, total: 320 to 950 nm), and integrated over the photosynthetically active radiation wavelength range (PAR: 400 to 700 nm). Two sensors were mounted on the ROV, an irradiance sensor (transmitted solar irradiance, ACC: Advanced-Cosine-Collector) for energy budget calculations and a radiance sensor (transmitted solar radiance, ARC: Advanced-Radiance-Collector with a 7° opening angle) to obtain high-resolution spatial variability. One additional radiometer was installed on - board the ship for reference measurements (incident solar irradiance, ACC). This is a raw data set, including all recorded spectra without any selection. Along with the radiation measurements, ROV positions were obtained from an acoustic Long Base Line (LBL) positioning system (LinkQuest Pinpoint). ROV depth was measured by a pressure sensor (Keller A-21Y, Keller AG). All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Collection . 2024
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PANGAEA
Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Collection . 2024
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PANGAEA
Dataset . 2024
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Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964484 , 10.1594/pangaea.964456
doi: 10.1594/pangaea.964484 , 10.1594/pangaea.964456
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Dataset . 2024
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Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_23-9 on 2023-06-06, survey 4
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964516 , 10.1594/pangaea.964478
doi: 10.1594/pangaea.964516 , 10.1594/pangaea.964478
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Dataset . 2024
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PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Dataset . 2024
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Dataset . 2024
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Downward spectral solar radiance as measured in different depths under sea ice (transmitted radiance) from ROV survey ARTofMELT2023/1_22-5 on 2023-06-01, survey 2
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964449 , 10.1594/pangaea.964428
doi: 10.1594/pangaea.964449 , 10.1594/pangaea.964428
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
PANGAEA - Data Publi...arrow_drop_down
PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
License: CC BY
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Dataset . 2024
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Dataset . 2024
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PANGAEA - Data Publisher for Earth and Environmental Science
Dataset . 2024
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Dataset . 2024
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Dataset . 2024
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GCOS EHI 1960-2020 Earth Heat Inventory Ocean Heat Content (Version 2)
Research datakeyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ
Authors: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +58 Authors
von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; Kirchengast, Gottfried; Adusumilli, Susheel; Straneo, Fiammetta; Allan, Richard; Barker, Paul M.; Beltrami, Hugo; Boyer, Tim; Cheng, Lijing; Church, John; Desbruyeres, Damien; Dolman, Han; Domingues, Catia M.; García-García, Almudena; Gilson, John; Gorfer, Maximilian; Haimberger, Leopold; Hendricks, Stefan; Hosoda, Shigeki; Johnson, Gregory C.; Killick, Rachel; King, Brian A.; Kolodziejczyk, Nicolas; Korosov, Anton; Krinner, Gerhard; Kuusela, Mikael; Langer, Moritz; Lavergne, Thomas; Lawrence, Isobel; Li, Yuehua; Lyman, John; Marzeion, Ben; Mayer, Michael; MacDougall, Andrew; McDougall, Trevor; Monselesan, Didier Paolo; Nitzbon, Jean; Otosaka, Inès; Peng, Jian; Purkey, Sarah; Roemmich, Dean; Sato, Kanako; Sato, Katsunari; Savita, Abhishek; Schweiger, Axel; Shepherd, Andrew; Seneviratne, Sonia I.; Slater, Donald A.; Slater, Thomas; Simons, Leon; Steiner, Andrea K.; Szekely, Tanguy; Suga, Toshio; Thiery, Wim; Timmermanns, Mary-Louise; Vanderkelen, Inne; Wijffels, Susan E.; Wu, Tonghua; Zemp, Michael;
doi: 10.26050/wdcc/gcos_ehi_1960-2020_ohc_v2
doi: 10.26050/wdcc/gcos_ehi_1960-2020_ohc_v2
Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).
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World Data Center for Climate
Dataset . 2023
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Dataset . 2023
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Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014Embargo end date: 01 Jan 2014 Switzerland, Germany, Netherlands, Denmark Publisher:Copernicus GmbHFunded by:NSERC, NSF | BE/CBC: Biocomplexity Ass..., NSF | Fire in Northern Alaska: ... +4 projects
NSERC ,
NSF| BE/CBC: Biocomplexity Associated with the Response of Tundra Carbon Balance to Warming and Drying Across Multiple Spatial and Temporal Scales ,
NSF| Fire in Northern Alaska: Effect of a Changing Disturbance Regime on a Regional Macrosystem ,
RCN| Greenhouse gases in the North: from local to regional scale ,
NWO| Stability of carbon pools in far east Siberia ,
NSF| Methane loss from Arctic: towards an annual budget of CH4 emissions from tundra ecosystems across a latitudinal gradient ,
EC| GREENCYCLESII
Authors: Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; +16 Authors
Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; Torben R. Christensen; Torben R. Christensen; Walter C. Oechel; Lars Kutzbach; Adrian V. Rocha; Werner Eugster; Magnus Lund; M. K. van der Molen; Mika Aurela; Thomas Friborg; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Elyn Humphreys; Daniel P. Rasse; Mikkel P. Tamstorf; Herbert N. Mbufong;
doi: 10.5194/bg-11-4897-2014 , 10.5194/bgd-11-6419-2014 , 10.3929/ethz-b-000089575
doi: 10.5194/bg-11-4897-2014 , 10.5194/bgd-11-6419-2014 , 10.3929/ethz-b-000089575
Abstract. This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64–74° N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE–irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (Fcsat), (b) dark respiration (Rd), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m−2 s−1 (Fc1000), (e) potential photosynthesis at light saturation (Psat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (Fcsat, Fc1000 and Psat, thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities.
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Supporting data for "Latitudinal patterns in intertidal ecosystem structure in West Greenland suggest resilience to climate change"
Research datakeyboard_double_arrow_right Dataset 2020Publisher:ZenodoFunded by:EC | EdgeStress
EC| EdgeStress
Authors: Thyrring, Jakob; Wegeberg, Susse; Blicher, Martin E.; Krause-Jensen, Dorte; +6 Authors
Thyrring, Jakob; Wegeberg, Susse; Blicher, Martin E.; Krause-Jensen, Dorte; Høgslund, Signe; Olesen, Birgit; Wiktor Jr, Jozef; Mouritsen, Kim N.; Peck, Lloyd S.; Sejr, Mikael K.;
doi: 10.5281/zenodo.3920534 , 10.5281/zenodo.3920535
doi: 10.5281/zenodo.3920534 , 10.5281/zenodo.3920535
The data contains three supporting datasets: 1. Mid-intertidal data 2. Vertical transect data 3. GPS coordinates for all sites
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Fraction of spectral solar irradiance transmitted through snow and sea ice as measured in different depths under sea ice (transmittance) from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964482 , 10.1594/pangaea.964511
doi: 10.1594/pangaea.964482 , 10.1594/pangaea.964511
Transmitted solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
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Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964398
doi: 10.1594/pangaea.964398
Incident solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
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Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-8 on 2023-06-05, survey 1
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964396
doi: 10.1594/pangaea.964396
Incident solar irradiance was measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
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Spectral solar radiation over and under sea ice from remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition
Research datakeyboard_double_arrow_right Collection , Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.962959
doi: 10.1594/pangaea.962959
Solar radiation over and under drifting sea ice was measured using RAMSES hyper-spectral radiometers (TriOS) mounted on the remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. All data are given in full spectral resolution interpolated to 1.0 nm, integrated over the entire wavelength range (broadband, total: 320 to 950 nm), and integrated over the photosynthetically active radiation wavelength range (PAR: 400 to 700 nm). Two sensors were mounted on the ROV, an irradiance sensor (transmitted solar irradiance, ACC: Advanced-Cosine-Collector) for energy budget calculations and a radiance sensor (transmitted solar radiance, ARC: Advanced-Radiance-Collector with a 7° opening angle) to obtain high-resolution spatial variability. One additional radiometer was installed on - board the ship for reference measurements (incident solar irradiance, ACC). This is a raw data set, including all recorded spectra without any selection. Along with the radiation measurements, ROV positions were obtained from an acoustic Long Base Line (LBL) positioning system (LinkQuest Pinpoint). ROV depth was measured by a pressure sensor (Keller A-21Y, Keller AG). All times are given in Universal Coordinated Time (UTC).
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Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964484 , 10.1594/pangaea.964456
doi: 10.1594/pangaea.964484 , 10.1594/pangaea.964456
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
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Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_23-9 on 2023-06-06, survey 4
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964516 , 10.1594/pangaea.964478
doi: 10.1594/pangaea.964516 , 10.1594/pangaea.964478
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023 and normalized by the incident solar irradiance as measured using an ACC (Advanced-Cosine-Collector) RAMSES hyper-spectral radiometer (TriOS) installed on-board the ship. All times are given in Universal Coordinated Time (UTC).
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Downward spectral solar radiance as measured in different depths under sea ice (transmitted radiance) from ROV survey ARTofMELT2023/1_22-5 on 2023-06-01, survey 2
Research datakeyboard_double_arrow_right Dataset 2024Publisher:PANGAEA
Authors: Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; +1 Authors
Anhaus, Philipp; Schiller, Martin; Planat, Noémie; Katlein, Christian; Nicolaus, Marcel;
doi: 10.1594/pangaea.964449 , 10.1594/pangaea.964428
doi: 10.1594/pangaea.964449 , 10.1594/pangaea.964428
Transmitted solar radiance was measured using an ARC (Advanced-Radiance-Collector) RAMSES hyper-spectral radiometer (TriOS) mounted on the ROV during the ARTofMELT2023 expedition in May and June 2023. All times are given in Universal Coordinated Time (UTC).
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GCOS EHI 1960-2020 Earth Heat Inventory Ocean Heat Content (Version 2)
Research datakeyboard_double_arrow_right Dataset 2023Publisher:World Data Center for Climate (WDCC) at DKRZ
Authors: von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; +58 Authors
von Schuckmann, Karina; Minière, Audrey; Gues, Flora; Cuesta-Valero, Francisco José; Kirchengast, Gottfried; Adusumilli, Susheel; Straneo, Fiammetta; Allan, Richard; Barker, Paul M.; Beltrami, Hugo; Boyer, Tim; Cheng, Lijing; Church, John; Desbruyeres, Damien; Dolman, Han; Domingues, Catia M.; García-García, Almudena; Gilson, John; Gorfer, Maximilian; Haimberger, Leopold; Hendricks, Stefan; Hosoda, Shigeki; Johnson, Gregory C.; Killick, Rachel; King, Brian A.; Kolodziejczyk, Nicolas; Korosov, Anton; Krinner, Gerhard; Kuusela, Mikael; Langer, Moritz; Lavergne, Thomas; Lawrence, Isobel; Li, Yuehua; Lyman, John; Marzeion, Ben; Mayer, Michael; MacDougall, Andrew; McDougall, Trevor; Monselesan, Didier Paolo; Nitzbon, Jean; Otosaka, Inès; Peng, Jian; Purkey, Sarah; Roemmich, Dean; Sato, Kanako; Sato, Katsunari; Savita, Abhishek; Schweiger, Axel; Shepherd, Andrew; Seneviratne, Sonia I.; Slater, Donald A.; Slater, Thomas; Simons, Leon; Steiner, Andrea K.; Szekely, Tanguy; Suga, Toshio; Thiery, Wim; Timmermanns, Mary-Louise; Vanderkelen, Inne; Wijffels, Susan E.; Wu, Tonghua; Zemp, Michael;
doi: 10.26050/wdcc/gcos_ehi_1960-2020_ohc_v2
doi: 10.26050/wdcc/gcos_ehi_1960-2020_ohc_v2
Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).
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Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014Embargo end date: 01 Jan 2014 Switzerland, Germany, Netherlands, Denmark Publisher:Copernicus GmbHFunded by:NSERC, NSF | BE/CBC: Biocomplexity Ass..., NSF | Fire in Northern Alaska: ... +4 projects
NSERC ,
NSF| BE/CBC: Biocomplexity Associated with the Response of Tundra Carbon Balance to Warming and Drying Across Multiple Spatial and Temporal Scales ,
NSF| Fire in Northern Alaska: Effect of a Changing Disturbance Regime on a Regional Macrosystem ,
RCN| Greenhouse gases in the North: from local to regional scale ,
NWO| Stability of carbon pools in far east Siberia ,
NSF| Methane loss from Arctic: towards an annual budget of CH4 emissions from tundra ecosystems across a latitudinal gradient ,
EC| GREENCYCLESII
Authors: Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; +16 Authors
Birger Ulf Hansen; Marcin Jackowicz-Korczynski; Torsten Sachs; Peter M. Lafleur; Torben R. Christensen; Torben R. Christensen; Walter C. Oechel; Lars Kutzbach; Adrian V. Rocha; Werner Eugster; Magnus Lund; M. K. van der Molen; Mika Aurela; Thomas Friborg; Frans-Jan W. Parmentier; Frans-Jan W. Parmentier; Elyn Humphreys; Daniel P. Rasse; Mikkel P. Tamstorf; Herbert N. Mbufong;
doi: 10.5194/bg-11-4897-2014 , 10.5194/bgd-11-6419-2014 , 10.3929/ethz-b-000089575
doi: 10.5194/bg-11-4897-2014 , 10.5194/bgd-11-6419-2014 , 10.3929/ethz-b-000089575
Abstract. This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64–74° N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE–irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (Fcsat), (b) dark respiration (Rd), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m−2 s−1 (Fc1000), (e) potential photosynthesis at light saturation (Psat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (Fcsat, Fc1000 and Psat, thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities.
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Supporting data for "Latitudinal patterns in intertidal ecosystem structure in West Greenland suggest resilience to climate change"

Fraction of spectral solar irradiance transmitted through snow and sea ice as measured in different depths under sea ice (transmittance) from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1

Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1

Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-8 on 2023-06-05, survey 1

Spectral solar radiation over and under sea ice from remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition

Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2

Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_23-9 on 2023-06-06, survey 4

Downward spectral solar radiance as measured in different depths under sea ice (transmitted radiance) from ROV survey ARTofMELT2023/1_22-5 on 2023-06-01, survey 2

GCOS EHI 1960-2020 Earth Heat Inventory Ocean Heat Content (Version 2)

Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization

Supporting data for "Latitudinal patterns in intertidal ecosystem structure in West Greenland suggest resilience to climate change"

Fraction of spectral solar irradiance transmitted through snow and sea ice as measured in different depths under sea ice (transmittance) from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1

Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-12 on 2023-06-09, survey 1

Incident spectral solar irradiance measured above sea ice from ROV survey ARTofMELT2023/1_23-8 on 2023-06-05, survey 1

Spectral solar radiation over and under sea ice from remotely operated vehicle (ROV) surveys during the ARTofMELT2023 expedition

Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2

Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_23-9 on 2023-06-06, survey 4

Downward spectral solar radiance as measured in different depths under sea ice (transmitted radiance) from ROV survey ARTofMELT2023/1_22-5 on 2023-06-01, survey 2

GCOS EHI 1960-2020 Earth Heat Inventory Ocean Heat Content (Version 2)

Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization

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