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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2020 Germany, United KingdomPublisher:Copernicus GmbH Funded by:EC | DECAF, UKRI | The Amazon hydrological c...EC| DECAF ,UKRI| The Amazon hydrological cycle: past, present and futureJessica C. A. Baker; Luis Garcia‐Carreras; Manuel Gloor; John H. Marsham; Wolfgang Buermann; Humberto Ribeiro da Rocha; Antônio Donato Nobre; Alessandro Araújo; Dominick V. Spracklen;Abstract. Water recycled through transpiring forests influences the spatial distribution of precipitation in the Amazon and has been shown to play a role in the initiation of the wet season. However, due to the challenges and costs associated with measuring evapotranspiration (ET) directly and high uncertainty in remote-sensing ET retrievals, the spatial and temporal patterns in Amazon ET remain poorly understood. In this study, we estimated ET over the Amazon and 10 sub-basins using a catchment-balance approach, whereby ET is calculated directly as the balance between precipitation, runoff, and change in groundwater storage. We compared our results with ET from remote-sensing datasets, reanalysis, models from Phase 5 and Phase 6 of the Coupled Model Intercomparison Projects (CMIP5 and CMIP6 respectively), and in situ flux tower measurements to provide a comprehensive overview of current understanding. Catchment-balance analysis revealed a gradient in ET from east to west/southwest across the Amazon Basin, a strong seasonal cycle in basin-mean ET primarily controlled by net incoming radiation, and no trend in ET over the past 2 decades. This approach has a degree of uncertainty, due to errors in each of the terms of the water budget; therefore, we conducted an error analysis to identify the range of likely values. Satellite datasets, reanalysis, and climate models all tended to overestimate the magnitude of ET relative to catchment-balance estimates, underestimate seasonal and interannual variability, and show conflicting positive and negative trends. Only two out of six satellite and model datasets analysed reproduced spatial and seasonal variation in Amazon ET, and captured the same controls on ET as indicated by catchment-balance analysis. CMIP5 and CMIP6 ET was inconsistent with catchment-balance estimates over all scales analysed. Overall, the discrepancies between data products and models revealed by our analysis demonstrate a need for more ground-based ET measurements in the Amazon as well as a need to substantially improve model representation of this fundamental component of the Amazon hydrological cycle.
CORE arrow_drop_down Hydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/hess-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2021Data sources: The University of Manchester - Institutional RepositoryHydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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/hess-25-2279-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down Hydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/hess-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2021Data sources: The University of Manchester - Institutional RepositoryHydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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/hess-25-2279-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Preprint 2022Embargo end date: 01 Jan 2021 France, Netherlands, FrancePublisher:Elsevier BV Authors: Anastassia M. Makarieva; Andrei V. Nefiodov; Antonio Donato Nobre; Douglas Sheil; +4 AuthorsAnastassia M. Makarieva; Andrei V. Nefiodov; Antonio Donato Nobre; Douglas Sheil; Paulo Nobre; Jan Pokorný; Petra Hesslerová; Bai-Lian Li;Destabilization of the water cycle threatens human lives and livelihoods. Meanwhile our understanding of whether and how changes in vegetation cover could trigger abrupt transitions in moisture regimes remains incomplete. This challenge calls for better evidence as well as for the theoretical concepts to describe it. Here we briefly summarise the theoretical questions surrounding the role of vegetation cover in the dynamics of a moist atmosphere. We discuss the previously unrecognized sensitivity of local wind power to condensation rate as revealed by our analysis of the continuity equation for a gas mixture. Using the framework of condensation-induced atmospheric dynamics, we then show that with the temperature contrast between land and ocean increasing up to a critical threshold, ocean-to-land moisture transport reaches a tipping point where it can stop or even reverse. Land-ocean temperature contrasts are affected by both global and regional processes, in particular, by the surface fluxes of sensible and latent heat that are strongly influenced by vegetation. Our results clarify how a disturbance of natural vegetation cover, e.g., by deforestation, can disrupt large-scale atmospheric circulation and moisture transport. In view of the increasing pressure on natural ecosystems, successful strategies of mitigating climate change require taking into account the impact of vegetation on moist atmospheric dynamics. Our analysis provides a theoretical framework to assess this impact. The available data for Eurasia indicate that the observed climatological land-ocean temperature contrasts are close to the threshold. This can explain the increasing fluctuations in the continental water cycle including droughts and floods and signifies a yet greater potential importance for large-scale forest conservation. 25 pages, 5 figures, and 1 table
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/127939Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd 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=10.2139/ssrn.4030350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/127939Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd 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=10.2139/ssrn.4030350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Preprint 2020 Germany, United KingdomPublisher:Copernicus GmbH Funded by:EC | DECAF, UKRI | The Amazon hydrological c...EC| DECAF ,UKRI| The Amazon hydrological cycle: past, present and futureJessica C. A. Baker; Luis Garcia‐Carreras; Manuel Gloor; John H. Marsham; Wolfgang Buermann; Humberto Ribeiro da Rocha; Antônio Donato Nobre; Alessandro Araújo; Dominick V. Spracklen;Abstract. Water recycled through transpiring forests influences the spatial distribution of precipitation in the Amazon and has been shown to play a role in the initiation of the wet season. However, due to the challenges and costs associated with measuring evapotranspiration (ET) directly and high uncertainty in remote-sensing ET retrievals, the spatial and temporal patterns in Amazon ET remain poorly understood. In this study, we estimated ET over the Amazon and 10 sub-basins using a catchment-balance approach, whereby ET is calculated directly as the balance between precipitation, runoff, and change in groundwater storage. We compared our results with ET from remote-sensing datasets, reanalysis, models from Phase 5 and Phase 6 of the Coupled Model Intercomparison Projects (CMIP5 and CMIP6 respectively), and in situ flux tower measurements to provide a comprehensive overview of current understanding. Catchment-balance analysis revealed a gradient in ET from east to west/southwest across the Amazon Basin, a strong seasonal cycle in basin-mean ET primarily controlled by net incoming radiation, and no trend in ET over the past 2 decades. This approach has a degree of uncertainty, due to errors in each of the terms of the water budget; therefore, we conducted an error analysis to identify the range of likely values. Satellite datasets, reanalysis, and climate models all tended to overestimate the magnitude of ET relative to catchment-balance estimates, underestimate seasonal and interannual variability, and show conflicting positive and negative trends. Only two out of six satellite and model datasets analysed reproduced spatial and seasonal variation in Amazon ET, and captured the same controls on ET as indicated by catchment-balance analysis. CMIP5 and CMIP6 ET was inconsistent with catchment-balance estimates over all scales analysed. Overall, the discrepancies between data products and models revealed by our analysis demonstrate a need for more ground-based ET measurements in the Amazon as well as a need to substantially improve model representation of this fundamental component of the Amazon hydrological cycle.
CORE arrow_drop_down Hydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/hess-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2021Data sources: The University of Manchester - Institutional RepositoryHydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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/hess-25-2279-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down Hydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/hess-2...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2021Data sources: The University of Manchester - Institutional RepositoryHydrology and Earth System Sciences (HESS)Article . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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/hess-25-2279-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Preprint 2022Embargo end date: 01 Jan 2021 France, Netherlands, FrancePublisher:Elsevier BV Authors: Anastassia M. Makarieva; Andrei V. Nefiodov; Antonio Donato Nobre; Douglas Sheil; +4 AuthorsAnastassia M. Makarieva; Andrei V. Nefiodov; Antonio Donato Nobre; Douglas Sheil; Paulo Nobre; Jan Pokorný; Petra Hesslerová; Bai-Lian Li;Destabilization of the water cycle threatens human lives and livelihoods. Meanwhile our understanding of whether and how changes in vegetation cover could trigger abrupt transitions in moisture regimes remains incomplete. This challenge calls for better evidence as well as for the theoretical concepts to describe it. Here we briefly summarise the theoretical questions surrounding the role of vegetation cover in the dynamics of a moist atmosphere. We discuss the previously unrecognized sensitivity of local wind power to condensation rate as revealed by our analysis of the continuity equation for a gas mixture. Using the framework of condensation-induced atmospheric dynamics, we then show that with the temperature contrast between land and ocean increasing up to a critical threshold, ocean-to-land moisture transport reaches a tipping point where it can stop or even reverse. Land-ocean temperature contrasts are affected by both global and regional processes, in particular, by the surface fluxes of sensible and latent heat that are strongly influenced by vegetation. Our results clarify how a disturbance of natural vegetation cover, e.g., by deforestation, can disrupt large-scale atmospheric circulation and moisture transport. In view of the increasing pressure on natural ecosystems, successful strategies of mitigating climate change require taking into account the impact of vegetation on moist atmospheric dynamics. Our analysis provides a theoretical framework to assess this impact. The available data for Eurasia indicate that the observed climatological land-ocean temperature contrasts are close to the threshold. This can explain the increasing fluctuations in the continental water cycle including droughts and floods and signifies a yet greater potential importance for large-scale forest conservation. 25 pages, 5 figures, and 1 table
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/127939Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd 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=10.2139/ssrn.4030350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/127939Data sources: Bielefeld Academic Search Engine (BASE)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff Publicationsadd 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=10.2139/ssrn.4030350&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu