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Sökning: WFRF:(Morfopoulos Catherine) > (2018) > Evapotranspiration ...

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FältnamnIndikatorerMetadata
00005211naa a2200829 4500
001oai:DiVA.org:su-158381
003SwePub
008180810s2018 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1583812 URI
0247 a https://doi.org/10.1088/1748-9326/aac4bb2 DOI
040 a (SwePub)su
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Wartenburger, Richard4 aut
2451 0a Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets
264 c 2018-06-21
264 1b IOP Publishing,c 2018
338 a print2 rdacarrier
520 a Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and an essential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties that are impeding a precise attribution of human-induced climate change. Here, we aim at comparing a range of independent global monthly land ET estimates with historical model simulations from the global water, agriculture, and biomes sectors participating in the second phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use the EartH2Observe Tier-1 dataset (E2O), two commonly used reanalyses, a pre-compiled ensemble product (LandFlux-EVAL), and an updated collection of recently published datasets that algorithmically derive ET from observations or observations-based estimates (diagnostic datasets). A cluster analysis is applied in order to identify spatio-temporal differences among all datasets and to thus identify factors that dominate overall uncertainties. The clustering is controlled by several factors including the model choice, the meteorological forcing used to drive the assessed models, the data category (models participating in the different sectors of ISIMIP2a, E2O models, diagnostic estimates, reanalysis-based estimates or composite products), the ET scheme, and the number of soil layers in the models. By using these factors to explain spatial and spatio-temporal variabilities in ET, we find that the model choice mostly dominates (24%-40% of variance explained), except for spatio-temporal patterns of total ET, where the forcing explains the largest fraction of the variance (29%). The most dominant clusters of datasets are further compared with individual diagnostic and reanalysis-based estimates to assess their representation of selected heat waves and droughts in the Great Plains, Central Europe and western Russia. Although most of the ET estimates capture these extreme events, the generally large spread among the entire ensemble indicates substantial uncertainties.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
653 a ISIMIP2a
653 a evapotranspiration
653 a uncertainty
653 a cluster analysis
653 a hydrological extreme events
7001 a Seneviratne, Sonia4 aut
7001 a Hirschi, Martin4 aut
7001 a Chang, Jinfeng4 aut
7001 a Ciais, Philippe4 aut
7001 a Deryng, Delphine4 aut
7001 a Elliott, Joshua4 aut
7001 a Folberth, Christian4 aut
7001 a Gosling, Simon N.4 aut
7001 a Gudmundsson, Lukas4 aut
7001 a Henrot, Alexandra-Jane4 aut
7001 a Hickler, Thomas4 aut
7001 a Ito, Akihiko4 aut
7001 a Khabarov, Nikolay4 aut
7001 a Kim, Hyungjun4 aut
7001 a Leng, Guoyong4 aut
7001 a Liu, Junguo4 aut
7001 a Liu, Xingcai4 aut
7001 a Masaki, Yoshimitsu4 aut
7001 a Morfopoulos, Catherine4 aut
7001 a Müller, Christoph4 aut
7001 a Müller Schmied, Hannes4 aut
7001 a Nishina, Kazuya4 aut
7001 a Orth, Reneu Stockholms universitet,Institutionen för naturgeografi,Max Planck Institute for Biogeochemistry, Germany4 aut0 (Swepub:su)rorth
7001 a Pokhrel, Yadu4 aut
7001 a Pugh, Thomas A. M.4 aut
7001 a Satoh, Yusuke4 aut
7001 a Schaphoff, Sibyll4 aut
7001 a Schmid, Erwin4 aut
7001 a Sheffield, Justin4 aut
7001 a Stacke, Tobias4 aut
7001 a Steinkamp, Joerg4 aut
7001 a Tang, Qiuhong4 aut
7001 a Thiery, Wim4 aut
7001 a Wada, Yoshihide4 aut
7001 a Wang, Xuhui4 aut
7001 a Weedon, Graham P.4 aut
7001 a Yang, Hong4 aut
7001 a Zhou, Tian4 aut
7102 a Stockholms universitetb Institutionen för naturgeografi4 org
7730 t Environmental Research Lettersd : IOP Publishingg 13:7q 13:7x 1748-9326
8564 u https://doi.org/10.1088/1748-9326/aac4bby Fulltext
8564 u https://doi.org/10.1088/1748-9326/aac4bb
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-158381
8564 8u https://doi.org/10.1088/1748-9326/aac4bb

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