Zobrazeno 1 - 10
of 22
pro vyhledávání: '"ZAHERPOUR JAMAL"'
Autor:
Kumar, Amit, Gosling, Simon N., Johnson, Matthew F., Jones, Matthew D., Zaherpour, Jamal, Kumar, Rohini, Leng, Guoyong, Schmied, Hannes Müller, Kupzig, Jenny, Breuer, Lutz, Hanasaki, Naota, Tang, Qiuhong, Ostberg, Sebastian, Stacke, Tobias, Pokhrel, Yadu, Wada, Yoshihide, Masaki, Yoshimitsu
Publikováno v:
In Advances in Water Resources July 2022 165
Autor:
Krysanova, Valentina, Zaherpour, Jamal, Didovets, Iulii, Gosling, Simon N., Gerten, Dieter, Hanasaki, Naota, Müller Schmied, Hannes, Pokhrel, Yadu, Satoh, Yusuke, Tang, Qiuhong, Wada, Yoshihide, Potsdam Institute for Climate Impact Research, Potsdam, Germany, Nottingham, UK, School of Geography, University of Nottingham, Nottingham, UK, Geography Dept., Humboldt-Universität zu Berlin, Berlin, Germany, Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Japan, Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany, Department of Civil and Environmental Engineering, Michigan State University, East Lansing, USA, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria, Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Publikováno v:
Climatic Change. 163:1353-1377
Importance of evaluation of global hydrological models (gHMs) before doing climate impact assessment was underlined in several studies. The main objective of this study is to evaluate the performance of six gHMs in simulating observed discharge for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b408d3f2e41db8f4bcef72b9d7c1b2d0
https://doi.org/10.1007/s10584-020-02840-0
https://doi.org/10.1007/s10584-020-02840-0
Autor:
Mount, Nick, Zaherpour, Jamal, Gosling, Simon, Dankers, Rutger, Eisner, Stephanie, Gerten, Dieter, Liu, Xingcai, Masaki, Yoshimitsu, Tang, Qiuhong, Wada, Yoshihide
This study presents a novel application of machine learning to deliver optimised, multi-model combinations (MMCs) of Global Hydrological Model (GHM) simulations. We exemplify the approach using runoff simulations from five GHMs across 40 large global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::d5111611346b4c915fdcc08831bc5bab
Autor:
Zaherpour, Jamal, Gosling, Simon N., Mount, Nick J., Veldkamp, Ted, Dankers, Rutger, Eisner, Stephanie, Gerten, Dieter, Gudmundsson, Lukas, Haddeland, I., Hanasaki, Naota, Kim, Hyungjun, Leng, Guoyong, Liu, Junguo, Masaki, Yoshimitsu, Oki, Taikan, Pokhrel, Yadu, Satoh, Yusuke, Schewe, Jacob, Wada, Yoshihide
Global-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts to incorporate anthropogenic activities in these models have enabled more realistic comparisons with observations. Here
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::cb21053be6e4f2e65ddb617edf2bdabd
https://nottingham-repository.worktribe.com/file/938291/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdf
https://nottingham-repository.worktribe.com/file/938291/1/Zaherpour_2018_Environ._Res._Lett._13_065015.pdf
Autor:
CISCAR MARTINEZ JUAN CARLOS, IBARRETA RUIZ DOLORES, SORIA RAMIREZ ANTONIO, DOSIO ALESSANDRO, TORETI ANDREA, CEGLAR ANDREJ, FUMAGALLI DAVIDE, DENTENER FRANCISCUS, LECERF REMI, ZUCCHINI ANTONIO, PANARELLO LORENZO, NIEMEYER STEFAN, PEREZ DOMINGUEZ IGNACIO, FELLMANN THOMAS, KITOUS ALBAN, DESPRÉS JACQUES, CHRISTODOULOU ARIS, DEMIREL HANDE, ALFIERI LORENZO, DOTTORI FRANCESCO, VOUSDOUKAS MICHAIL, MENTASCHI LORENZO, VOUKOUVALAS EVANGELOS, CAMMALLERI CARMELO, MARINHO FERREIRA BARBOSA PAULO, MICALE FABIO, VOGT JUERGEN, BARREDO CANO JOSE IGNACIO, CAUDULLO GIOVANNI, MAURI ACHILLE, DE RIGO DANIELE, LIBERTA' GIORGIO, DURRANT TRACY, ARTES VIVANCOS TOMAS, SAN-MIGUEL-AYANZ JESUS, GOSLING SIMON, ZAHERPOUR JAMAL, DE ROO ARIE, BISSELINK BERNARD, BERNHARD JEROEN, BIANCHI ALESSANDRA, RÓZSAI MÁTÉ, SZEWCZYK WOJCIECH, MONGELLI IGNAZIO, FEYEN LUC
The study assesses how climate change could affect Europe in eleven impact areas. Under a high warming scenario, several climate impacts show a clear geographical north-south divide. Most of the welfare losses, assessed for six impact areas, would be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1739::8b6ffa27ff70f9e23222c7a9f7b6d8ef
http://publications.jrc.ec.europa.eu/repository/handle/JRC112769
http://publications.jrc.ec.europa.eu/repository/handle/JRC112769
This study uses five impact models that describe observed relationships between labour productivity and temperature, with climate model simulations from five climate models under a high emissions scenario (RCP8.5), i.e. 25 climate-impact model combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1739::9b6c8251108923c85d81bb6aec1da8f9
http://publications.jrc.ec.europa.eu/repository/handle/JRC113740
http://publications.jrc.ec.europa.eu/repository/handle/JRC113740
Akademický článek
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Akademický článek
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Autor:
Gosling, Simon, Zaherpour, Jamal, Mount, Nick, Hattermann, Fred, Dankers, Rutger, Arheimer, Berit, Breuer, Lutz, Ding, Jie, Haddeland, Ingjerd, Kumar, Rohini, Kundu, Dipangkar, Liu, Junguo, Griensven, Ann, Veldkamp, Ted, Vetter, Tobias, Wang, Xiaoyan, Zhang, Xinxin
Publikováno v:
Climatic Change; Apr2017, Vol. 141 Issue 3, p577-595, 19p
Autor:
Gosling, Simon, Zaherpour, Jamal, Mount, Nick, Hattermann, Fred, Dankers, Rutger, Arheimer, Berit, Breuer, Lutz, Ding, Jie, Haddeland, Ingjerd, Kumar, Rohini, Kundu, Dipangkar, Liu, Junguo, Griensven, Ann, Veldkamp, Ted, Vetter, Tobias, Wang, Xiaoyan, Zhang, Xinxin
Publikováno v:
Climatic Change; Apr2017, Vol. 141 Issue 3, p597-598, 2p