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description Publicationkeyboard_double_arrow_right Conference object 2020 ItalyAuthors:Monica Pinardi;
Gary Free;Monica Pinardi
Monica Pinardi in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREClaudia Giardino;
+6 AuthorsClaudia Giardino
Claudia Giardino in OpenAIREMonica Pinardi;
Gary Free;Monica Pinardi
Monica Pinardi in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREClaudia Giardino;
Stefan Simis; JeanFrancois Cretaux; Chris Merchant; Herve Yesou; Claude Duguay; Bruno Coulon;Claudia Giardino
Claudia Giardino in OpenAIREhandle: 20.500.14243/400099 , 20.500.14243/384998
Lakes are rapidly responding strategic systems and key sentinels of global change. A globally harmonized observation approach is needed to identify climate signals in lake physical, hydrological and biogeochemical change to support numerical models. One effort in this direction is the ongoing European Space Agency Climate Change Initiative for Lakes (CCI Lakes). The overarching objective of the project is to produce and validate a consistent data set of Essential Climate Variables for lakes. This includes aiming for the longest period of combined satellite observations by designing and operating processing chains, designed to ultimately feature in a sustainable production system. Lakes CCI focuses on the following five thematic climate variables: oLake Water Level (LWL) oLake Water Extent (LWE) oLake Surface Water temperature (LSWT) oLake Ice Cover (LIC): dynamics of freeze-up in autumn and break-up in spring oLake Water-Leaving Reflectance (LWLR): estimates of chlorophyll-a and turbidity The first Climate Research Data Package (v1, 2020) was recently created for up to 250 globally distributed lakes. It brings together the state-of-the-art in satellite observation using thermal, optical and altimetry missions. The Lakes_cci products are open public and easy to access so that it definitely presents an opportunity for lake scientists and climate modellers worldwide to perform studies for which the five lakes variables present an important dataset. In this conference we will present the project overview and progress with a focus on the preliminary results of the 5 ECVs at global level and in particular regions.
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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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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 Article , Other literature type , Journal 2021 Estonia, Italy, LithuaniaPublisher:MDPI AG Funded by:EC | TREICLAKE, EC | EOMORESEC| TREICLAKE ,EC| EOMORESAuthors: Gary Free;Mariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREClaudia Giardino;
+9 AuthorsClaudia Giardino
Claudia Giardino in OpenAIREGary Free;Mariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREClaudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREKrista Alikas;
Krista Alikas
Krista Alikas in OpenAIREKersti Kangro;
Kersti Kangro
Kersti Kangro in OpenAIREEva-Ingrid Rõõm;
Eva-Ingrid Rõõm
Eva-Ingrid Rõõm in OpenAIREDiana Vaičiūtė;
Diana Vaičiūtė
Diana Vaičiūtė in OpenAIREMartynas Bučas;
Martynas Bučas
Martynas Bučas in OpenAIREEdvinas Tiškus;
Edvinas Tiškus
Edvinas Tiškus in OpenAIREAnnelies Hommersom;
Marnix Laanen; Steef Peters;Annelies Hommersom
Annelies Hommersom in OpenAIREThe frequency of heatwave events in Europe is increasing as a result of climate change. This can have implications for the water quality and ecological functioning of aquatic systems. We deployed three spectroradiometer WISPstations at three sites in Europe (Italy, Estonia, and Lithuania/Russia) to measure chlorophyll-a at high frequency. A heatwave in July 2019 occurred with record daily maximum temperatures over 40 °C in parts of Europe. The effects of the resulting storm that ended the heatwave were more discernable than the heatwave itself. Following the storm, chlorophyll-a concentrations increased markedly in two of the lakes and remained high for the duration of the summer while at one site concentrations increased linearly. Heatwaves and subsequent storms appeared to play an important role in structuring the phenology of the primary producers, with wider implications for lake functioning. Chlorophyll-a peaked in early September, after which a wind event dissipated concentrations until calmer conditions returned. Synoptic coordinated high frequency monitoring needs to be advanced in Europe as part of water management policy and to improve knowledge on the implications of climate change. Lakes, as dynamic ecosystems with fast moving species-succession, provide a prism to observe the scale of future change.
Sensors arrow_drop_down SensorsOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1424-8220/21/18/6242/pdfData sources: Multidisciplinary Digital Publishing InstituteEstonian University of Life Sciences: DSpaceArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10492/8025Data sources: Bielefeld Academic Search Engine (BASE)Virtual Library of Klaipeda UniversityArticle . 2021License: CC BYData sources: Virtual Library of Klaipeda Universityadd 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/s21186242&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 48visibility views 48 download downloads 34 Powered bymore_vert Sensors arrow_drop_down SensorsOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1424-8220/21/18/6242/pdfData sources: Multidisciplinary Digital Publishing InstituteEstonian University of Life Sciences: DSpaceArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10492/8025Data sources: Bielefeld Academic Search Engine (BASE)Virtual Library of Klaipeda UniversityArticle . 2021License: CC BYData sources: Virtual Library of Klaipeda Universityadd 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/s21186242&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 ItalyAuthors: Gary Free;Claudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
+2 AuthorsMonica Pinardi
Monica Pinardi in OpenAIREGary Free;Claudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
Marnix Laanen; Alessandra Cingolani;Monica Pinardi
Monica Pinardi in OpenAIREhandle: 20.500.14243/400110
Lakes are integrators of environmental and climatic changes occurring within their contributing basins. Understanding the complex behavior of lakes in a changing environment is essential to effective water resource management and mitigation of climate change. The ESA CCI Lakes is a multi-disciplinary project (https://climate.esa.int/en/projects/lakes/) creating the largest and longest consistent global record of five lake climate variables: lake water level, extent, temperature, surface-leaving reflectance, and ice cover. Phase 1 covered 250 lakes and phase 2 will cover up to 2000 globally. The distribution of the global dataset will be presented followed by a focus on Lake Trasimeno, a shallow eutrophic lake in central Italy included in the Long-Term Ecosystem Research (LTER) network. We used AI and Non-Parametric Multiplicative Regression (NPMR) to analyze the data. Chlorophyll-a in lake Trasimeno was dominated by a summer bloom initiating in July and peaking in early September and was largely predicted by the time variable - accounting for 87% of feature importance. The North Atlantic Oscillation was the next most important variable (4% feature importance) corroborated by NPand shown to be largely important during early to mid-September when a positive NAO, associated with high pressure and warm sunny weather, led to an increase in chlorophyll-a concentrations. Regional climatic indices as well as the more obvious nutrient drivers of algal blooms should therefore be considered in lake management. High Frequency chlorophyll-a and phycocyanin data from a WISPstation showed that rapid fluctuations visible in the satellite record are supported by in situ data.
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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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 Article 2023 ItalyPublisher:Frontiers Media SA Authors:Monica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREDaniela Stroppiana;
Rossana Caroni;Daniela Stroppiana
Daniela Stroppiana in OpenAIRELorenzo Parigi;
+5 AuthorsLorenzo Parigi
Lorenzo Parigi in OpenAIREMonica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREDaniela Stroppiana;
Rossana Caroni;Daniela Stroppiana
Daniela Stroppiana in OpenAIRELorenzo Parigi;
Giulio Tellina; Gary Free;Lorenzo Parigi
Lorenzo Parigi in OpenAIREClaudia Giardino;
Clément Albergel;Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREhandle: 20.500.14243/437107 , 11573/1724849
Lakes have been observed as sentinels of climate change. In the last decades, global warming and increasing aridity has led to an increase in both the number and severity of wildfires. This has a negative impact on lake catchments by reducing forest cover and triggering cascading effects in freshwater ecosystems. In this work we used satellite remote sensing to analyse potential fire effects on lake water quality of Lake Baikal (Russia), considering the role of runoff and sediment transport, a less studied pathway compared to fire emissions transport. The main objectives of this study were to analyse time series and investigate relationships among fires (i.e., burned area), meteo-climatic parameters and water quality variables (chlorophyll-a, turbidity) for the period 2003–2020. Because Lake Baikal is oligotrophic, we expected detectable changes in water quality variables at selected areas near the three mains tributaries (Upper Angara, Barguzin, Selenga) due to river transport of fire-derived burned material and nutrients. Time series analysis showed seasonal (from April to June) and inter-annual fire occurrence, precipitation patterns (high intensity in summer) and no significant temporal changes for water quality variables during the studied periods. The most severe wildfires occurred in 2003 with the highest burned area detected (36,767 km2). The three lake sub-basins investigated have shown to respond differently according to their morphology, land cover types and meteo-climatic conditions, indicating their importance in determining the response of water variables to the impact of fires. Overall, our finding suggests that Lake Baikal shows resilience in the medium-long term to potential effects of fires and climate change in the region.
IRIS Cnr arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd 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=10.3389/frsen.2023.1107275&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert IRIS Cnr arrow_drop_down Archivio della ricerca- Università di Roma La SapienzaArticle . 2023License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd 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=10.3389/frsen.2023.1107275&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 ItalyPublisher:MDPI AG Authors: Rossana Caroni;Monica Pinardi;
Gary Free;Monica Pinardi
Monica Pinardi in OpenAIREDaniela Stroppiana;
+5 AuthorsDaniela Stroppiana
Daniela Stroppiana in OpenAIRERossana Caroni;Monica Pinardi;
Gary Free;Monica Pinardi
Monica Pinardi in OpenAIREDaniela Stroppiana;
Daniela Stroppiana
Daniela Stroppiana in OpenAIRELorenzo Parigi;
Giulio Tellina;Lorenzo Parigi
Lorenzo Parigi in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREClément Albergel;
Clément Albergel
Clément Albergel in OpenAIREClaudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREdoi: 10.3390/app14062626
handle: 20.500.14243/516438 , 11573/1725353
A study was carried out to investigate the effects of wildfires on lake water quality using a source dataset of 2024 lakes worldwide, covering different lake types and ecological settings. Satellite-derived datasets (Lakes_cci and Fire_cci) were used and a Source Pathway Receptor approach applied which was conceptually represented by fires (burned area) as a source, precipitation/drought representing transport dynamics, and lakes as the ultimate receptor. This identified 106 lakes worldwide that are likely prone to be impacted by wildfires via a terrestrial pathway. Satellite-derived chlorophyll-a (Chl-a) and turbidity variables were used as indicators to detect changes in lake water quality potentially induced by wildfires over a four-year period. The lakes with the largest catchment areas burned and characterized by regular annual fires were located in Africa. Evidence for a strong influence of wildfires was not found across the dataset examined, although clearer responses were seen for some individual lakes. However, among the hydro-morphological characteristics examined, lake depth was found to be significant in determining Chl-a concentration peaks which were higher in shallow and lower in deep lakes. Lake turbidity responses indicated a dependence on lake catchment and weather conditions. While wildfires are likely to contribute to the nutrient load of lakes as found in previous studies, it is possible that in many cases it is not a dominant pressure and that its manifestation as a signal in lake Chl-a or turbidity values depends to a large part on lake typology and catchment characteristics. Assessment of lake water quality changes six months after a fire showed that Chl-a concentrations either increased, decreased, or showed no changes in a similar number of lakes, indicating that a lake specific ecological and hydro-morphological context is important for understanding lake responses to wildfires.
IRIS Cnr arrow_drop_down IRIS CnrArticle . 2024License: CC BYFull-Text: https://iris.cnr.it/bitstream/20.500.14243/516438/1/Caroni_etal_2024_applsci-14-02626.pdfData sources: IRIS CnrArchivio della ricerca- Università di Roma La SapienzaArticle . 2024License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd 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/app14062626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert IRIS Cnr arrow_drop_down IRIS CnrArticle . 2024License: CC BYFull-Text: https://iris.cnr.it/bitstream/20.500.14243/516438/1/Caroni_etal_2024_applsci-14-02626.pdfData sources: IRIS CnrArchivio della ricerca- Università di Roma La SapienzaArticle . 2024License: CC BYData sources: Archivio della ricerca- Università di Roma La Sapienzaadd 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/app14062626&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2021 ItalyPublisher:Copernicus GmbH Funded by:EC | HYPOSEC| HYPOSAuthors:Erica Matta;
Erica Matta
Erica Matta in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREClaudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREMarina Amadori;
+11 AuthorsMarina Amadori
Marina Amadori in OpenAIREErica Matta;
Erica Matta
Erica Matta in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREClaudia Giardino;
Claudia Giardino
Claudia Giardino in OpenAIREMarina Amadori;
Thomas Heege; Karin Schenk; Kim Knauer; Alena Bartosovar;Marina Amadori
Marina Amadori in OpenAIREIlias Pechlivanidis;
Marcelo Leite Ribeiro; Marina Launay; José Pedro Matos; Declan Kelleher;Ilias Pechlivanidis
Ilias Pechlivanidis in OpenAIRENils Rüther;
Nils Rüther
Nils Rüther in OpenAIREKordula Valerie Anne Schwarzwälder;
Kordula Valerie Anne Schwarzwälder
Kordula Valerie Anne Schwarzwälder in OpenAIREhandle: 20.500.14243/403076
<p>The EC HYPOS (HYdro-POwer-Suite) project (https://hypos-project.eu/) has the main goal of assessing the environmental impact of existing and future hydropower systems. The project will provide a suite of data analysis applications which integrates Earth Observation (EO) technologies and hydrological modelling. These include an online Decision Support Tool (DST) for investment planning and monitoring, as well as a subscription portal combining satellite data over time, current measurements and detailed estimates for present and near future assessments. A dedicated analysis on the &#8220;blue footprint&#8221; (i.e. the amount of water used to produce a service) of reservoirs is included for addressing sustainable monitoring solutions. Such analysis comprises the evaluation of the climate change effects on reservoirs management and hydropower production. For instance, extreme weather events like short-term heavy precipitations are connected with flooding and transport of large amounts of sediments in dammed reservoirs, with critical consequences for their management. Similarly, global warming can heat the surface of water bodies and induce higher evaporation rates, thus decreasing the amount of water available for energy production. &#160;</p><p>In this study we present the first products from HYPOS project. These products are representative of what can be generated within the DST using elaboration techniques of EO data. Gridded products of water quality parameters (e.g. water turbidity, Chlorophyll-a concentration, suspended sediments concentration) are generated for the test sites of the project, which are small dammed reservoirs located in Switzerland, France, Albania and Georgia. These products are obtained using the Modular Inversion and Processing System (MIP), a sensor independent image processing chain based on radiative transfer models, which works in a multi-layer system, solving the light transfer in the atmosphere, at the water surface and inside the waterbody.</p><p>For the assessment of the &#8220;blue footprint&#8221; of a reservoir, the water loss due to evaporation is computed by applying a consolidated mass transfer evaporation method to EO data. The resulting evaporation rates are first compared with the outputs of semi-automatic evapotranspiration EO-based models (e.g. SEBAL), and then with the estimates &#8203;&#8203;obtained from two different numerical models: a hydrological model (E-Hype) and a 3D hydrodynamic model (Delft3D). The key parameters influencing water evaporation rates, their behavior and the issues related to each approach are analyzed. The first comparison results are made for lake Garda, where a complete set of data is available for the production of evaporation maps.</p>
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/egusphere-egu21-10919&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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/egusphere-egu21-10919&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2022 ItalyAuthors:Claudia Giardino;
Gary Free;Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREhandle: 20.500.14243/420386
Satellite data from the Climate Change Initiative (CCI) lakes project were used to examine the influence of climate on chlorophyll-a (Chl-a).
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=od_____10978::a6dc9bc15110ebaddc883675071077e7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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=od_____10978::a6dc9bc15110ebaddc883675071077e7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 ItalyAuthors:Claudia Giardino;
Gary Free;Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
+2 AuthorsMonica Pinardi
Monica Pinardi in OpenAIREClaudia Giardino;
Gary Free;Claudia Giardino
Claudia Giardino in OpenAIREMariano Bresciani;
Mariano Bresciani
Mariano Bresciani in OpenAIREMonica Pinardi;
Marnix Laanen; Alessandra Cingolani;Monica Pinardi
Monica Pinardi in OpenAIREhandle: 20.500.14243/400111
Lakes are integrators of environmental and climatic changes occurring within their contributing basins. Understanding the complex behavior of lakes in a changing environment is essential to effective water resource management and mitigation of climate change effects. The ESA CCI Lakes is a multi-disciplinary project (https://climate.esa.int/en/projects/lakes) combining expertise to exploit data to create the largest and longest possible consistent, global record of five lake climate variables: lake water level, extent, temperature, surface-leaving reflectance, and ice cover. The phase 1 version of the database covers 250 globally distributed lakes with temporal coverage, depending on parameter, ranging from 1992 up to 2019. The dataset is planned to expand to 2000 lakes in the second phase. The distribution of the dataset will be introduced over space and time. The potential of the dataset and in particular of data records on chlorophyll-a concentrations, is explored for Lake Trasimeno, a shallow eutrophic lake of central Italy which is a specific case study of the lakes CCI project included in the Long-Term Ecosystem Research (LTER) network. In situ measurements from LTER were used to evaluate satellite products as well as to complete the CCI data record. Meteo-climatic data were extracted to analyze the interrelationships between the trend in water parameters and climate factors. An in situ WISPstation sensor was also used to provide high frequency (every 15 minutes) information on chlorophyll-a and phycocyanin concentration for last two years. We used Artificial Intelligence (AI) and Non-Parametric Multiplicative Regression (NPMR) techniques to analyze the data. Chlorophyll-a in Lake Trasimeno was dominated by a summer bloom consistently initiating in July and typically peaking in early September and was largely predicted by the time variable - accounting for 87% of feature importance. The North Atlantic Oscillation (NAO) was the next most important variable (4% feature importance) corroborated by NPMR and shown to be largely important during early to mid-September when a positive NAO, associated with high pressure and warm sunny weather, led to an increase in chlorophyll-a concentrations. Regional climatic indices as well as the more obvious nutrient drivers of algal blooms should therefore be considered in lake management. Comparing the high frequency WISPstation data (2018-2020) with the CCI dataset allows for detailed cross validation. Interestingly some of the rapid fluctuations visible from the satellite record that may have been interpreted as noise are supported by the in situ data. In addition, utilizing the phycocyanin results from the WISPstation showed, in near real time, how cyanophytes played a key role in the sudden increases and declines in chlorophyll-a in mid to late summer. Coupling climatic indices, nutrient concentrations and near real time phycocyanin concentrations could be indispensable to the management of blooms in high value recreational lakes such as Trasimeno.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 ItalyAuthors: GFree;M Pinardi;
M Pinardi
M Pinardi in OpenAIREM Bresciani;
M Bresciani
M Bresciani in OpenAIREC Giardino;
+4 AuthorsC Giardino
C Giardino in OpenAIREGFree;M Pinardi;
M Pinardi
M Pinardi in OpenAIREM Bresciani;
M Bresciani
M Bresciani in OpenAIREC Giardino;
K Stelzer; A Costantinescu; C Merchant; E Spyrakos;C Giardino
C Giardino in OpenAIREhandle: 20.500.14243/378504
This document presents the first version of the Climate Assessment Report (CAR), which will be updated in 2021, to summarize the added value of Lakes_cci products and the activities of the Climate Research Group (CRG). Overall, the CAR first introduces the products generated by Lakes_cci. A second section on initial data exploration at global scale is also presented along with sample associated methodological steps. The specific activities from the CRG on five pre-defined use cases is then presented for addressing a variety of scientific questions. The CAR concludes confronting the progress made towards meeting user requirements and also includes main outcomes from the Lake_cci user workshop. This is followed by an updated list of publications, a summary of outreach activities and key conclusions.
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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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 2022 ItalyAuthors: Giulio TELLINA;Monica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREMariano Bresciani;
Gary Free; +10 AuthorsMariano Bresciani
Mariano Bresciani in OpenAIREGiulio TELLINA;Monica Pinardi;
Monica Pinardi
Monica Pinardi in OpenAIREMariano Bresciani;
Gary Free;Mariano Bresciani
Mariano Bresciani in OpenAIREDaniela Stroppiana;
Daniela Stroppiana
Daniela Stroppiana in OpenAIREClaudia Giardino;
Stefan Simis; JeanFrancois Crétaux; Chris Merchant; Herve Yesou; Claude Duguay; Clément Albergel; Alice Andral; Bruno Coulon;Claudia Giardino
Claudia Giardino in OpenAIREhandle: 20.500.14243/420384
Lakes are already responding rapidly to climate change and in coming decades it is projected that global warming will have a more persistent and stronger effects on hydrology, nutrient cycling, and biodiversity (Cardoso et al. 2009; Carpenter et al. 2011). Recent projections estimate that lakes will get warmer for longer periods, with heatwaves potentially spreading across multiple seasons (Woolway et al. 2021). In some regions, heatwaves can add to existing pressure from drought which can lower lake levels and areal extent resulting from reduced inflows, increased evaporation and extraction for anthropogenic purposes (M?ynski et al. 2021; Zhao et al. 2022). The double heatwave event that occurred in the summer of 2019 in Europe was one of the top five warmest summers since 1500 (Sousa et al. 2020). In lakes, intense phytoplankton blooms might be the result of consecutive heatwave (e.g., Søndergaard et al. 2003; Free et al. 2021). When high temperatures are combined with low humidity, low rainfall, dry vegetation there is an increased risk of wildfire in case there is a source of ignition. Wildfires can have a significant hydro-geomorphological impact on watersheds in relation to post-fire rainfall events that can trigger erosion and transport processes leading to potential alteration of water quality (Smith et al., 2011). Despite the increased concern on the impact of wildfires on lake water quality, an uneven coverage of their geographical distribution has been observed (Shakesby and Doerr, 2006). Moreover, the topic has mainly been addressed at small scales while there remains a poor understanding at larger scales. The European Space Agency (ESA) Climate Change Initiative (cci) products could fill these gaps by providing long term, global coverage of both fire and water quality satellite-derived data also for the remote regions. The Lakes_cci project develops products covering Lake Water Level (LWL), Lake Water Extent (LWE), Lake Surface Water Temperature (LSWT), Lake Ice Cover (LIC) and Lake Water-Leaving Reflectance (LWLR) with the overarching objective to produce and validate a consistent long term dataset. The first phase of the project has recently been completed with the release of the last version (v2.0.2) of the dataset, including about 2000 lakes for the period 1992-2020. The dataset (netCDF file format) is hosted at the Centre for Environmental Data Analysis (https://catalogue.ceda.ac.uk/uuid/a07deacaffb8453e93d57ee214676304). A third user survey was conducted to collect user feedback on the data exploitation (https://climate.esa.int/en/projects/lakes/news-and-events/news/a-new-survey-for-users/). Phase 2 of the project started in July 2022. One scope of the project is the integration of different satellite-derived products across ESA CCI projects. For this reason, a study on wildfire and lakes is ongoing aiming to investigate the relationship between fires and lakes water quality over a wide range of geographical regions and fire regimes. The Fire_cci project, already at phase 2, focuses on several issues relating to fire disturbance including analysing and specifying scientific requirements relating to climate, production of burned area datasets, and product validation and product assessment. In this study potential of the CCI dataset is explored in three different case studies in the Eurasian region. I.Long-term trends in the ECV "Lakes" The dataset was explored for two Italian lakes and one Swedish lake of different depth and trophic state. The lakes are part of the Long-Term Ecosystem Research (LTER) network. In situ data from the LTER dataset were used to compare and integrate satellite products. Time-series of satellite data were then explored to examine trends in the context of key meteo-climatic variables. LSWT, chlorophyll-a (Chl-a), turbidity and ice cover data covering 16 years (2003-2018) were extracted. Daily climate data (wind, air temperature, precipitation) were obtained from ERA5. North Atlantic Oscillation (NAO) daily values were obtained from NOAA-CPC. The analyses revealed variations in the water quality variables, including a significant alteration in the concentrations of Chl-a in the lakes under study. Another aspect highlighted in the study is the variation in response to climate change in lakes in different geographical regions and with different trophic and morphological characteristics, when comparing northern Europe to southern Europe. For example, in Lake Trasimeno (shallow-eutrophic) Chl-a was higher with more positive values of the NAO, lower lake levels and warmer temperatures; in Lake Garda (deep oligotrophic) a shift was found in the timing of the traditional Chl-a peak (Fig. 1); the Erken lake time series indicated a significant increase in Chl-a and air temperature. II. Heatwave and storm events impact on lakes Chl-a data were examined for any potential responses during the 2019 double heatwave period for 36 European lakes, evaluating how the response varies depending on latitude, total concentration of phosphorus and the average depth of the lake. The Chl-a concentrations for summer 2019 were extracted from Lakes_cci dataset (v1.1). Data on total phosphorus and lake mean depth were obtained from Waterbase, the European Environment Agency database on water quality (https://www.eea.europa.eu/data-and-m aps/data/waterbase-water-quality-icm-1) or from the Environmental data MVM database for Swedish lakes (https://miljodata.slu.se/mvm/) or from published literature. The results show that the timing and magnitude of the response to the heatwave events depends on lake depth and nutrients (Fig. 2). Deeper lakes respond sooner probably because of higher temperatures leading to stronger stratification thereby improving the light climate but with the response strength dependent on nutrient status (e.g. Maggiore and Geneva). In contrast, shallower lakes and lakes at lower latitudes showed more asynchrony with a greater response after the heatwave event probably as a result of internal and external loading (e.g. Razim and Balaton). III.Effects of wildfires on Lake Baikal Fire_cci and Lakes_cci datasets were explored to highlight any spatial-temporal relationships of burned area, meteo-climatic and water quality parameters for three sub-basins in correspondence to the inflows of the major tributaries into Lake Baikal. Burning vegetation in the basin could cause an increase in erosion and surface transport process, and a subsequent increase in turbidity and/or concentration of Chl-a in the lake waters. The products were extracted for the period 2003-2019. The first analyses focused on trends in the time series observed independently. Results showed a trend towards an increase in burned area, chlorophyll-a and turbidity in the summer months, over the 16-year period, probably related to climate change. The time series of precipitation were analysed through the use of the standardized precipitation index (SPI). It was observed that SPI assumes significantly negative values and drought indicators for the years 2003 and 2015 in which numerous fires were also observed. A non-parametric multiplicative regression model showed that the temporal variable (seasonal and annual) is the main predictor of turbidity and Chl-a. The predictive role of the burned area and wind were limited in the investigated study area. Effectively, on long-time series over a such a deep, pristine and large lake, data did not show clear effects of wildfires on water parameters except for local effects. For example, the spatial-temporal analysis conducted in some years (2003, 2006, 2011 and 2018) of significant interest, because they represent extreme conditions of fires and precipitation, showed an increase in both Chl-a and turbidity following fire events that resulted in a significant burned area and without significant precipitation events observed in the central portion of the lake for the year 2003 (Fig. 3).
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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