The importance of vegetation in understanding terrestrial water storage variations

Detalhes bibliográficos
Autor(a) principal: Trautmann, Tina
Data de Publicação: 2022
Outros Autores: Koirala, Sujan, Carvalhais, Nuno, Güntner, Andreas, Jung, Martin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/151070
Resumo: Funding Information: The article processing charges for this openaccess publication were covered by the Max Planck Society. Publisher Copyright: © 2022 Tina Trautmann et al.
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spelling The importance of vegetation in understanding terrestrial water storage variationsWater Science and TechnologyEarth and Planetary Sciences (miscellaneous)Funding Information: The article processing charges for this openaccess publication were covered by the Max Planck Society. Publisher Copyright: © 2022 Tina Trautmann et al.So far, various studies have aimed at decomposing the integrated terrestrial water storage variations observed by satellite gravimetry (GRACE, GRACE-FO) with the help of large-scale hydrological models. While the results of the storage decomposition depend on model structure, little attention has been given to the impact of the way that vegetation is represented in these models. Although vegetation structure and activity represent the crucial link between water, carbon, and energy cycles, their representation in large-scale hydrological models remains a major source of uncertainty. At the same time, the increasing availability and quality of Earth-observation-based vegetation data provide valuable information with good prospects for improving model simulations and gaining better insights into the role of vegetation within the global water cycle. In this study, we use observation-based vegetation information such as vegetation indices and rooting depths for spatializing the parameters of a simple global hydrological model to define infiltration, root water uptake, and transpiration processes. The parameters are further constrained by considering observations of terrestrial water storage anomalies (TWS), soil moisture, evapotranspiration (ET) and gridded runoff (Q) estimates in a multi-criteria calibration approach. We assess the implications of including varying vegetation characteristics on the simulation results, with a particular focus on the partitioning between water storage components. To isolate the effect of vegetation, we compare a model experiment in which vegetation parameters vary in space and time to a baseline experiment in which all parameters are calibrated as static, globally uniform values. Both experiments show good overall performance, but explicitly including varying vegetation data leads to even better performance and more physically plausible parameter values. The largest improvements regarding TWS and ET are seen in supply-limited (semi-arid) regions and in the tropics, whereas Q simulations improve mainly in northern latitudes. While the total fluxes and storages are similar, accounting for vegetation substantially changes the contributions of different soil water storage components to the TWS variations. This suggests an important role of the representation of vegetation in hydrological models for interpreting TWS variations. Our simulations further indicate a major effect of deeper moisture storages and groundwater-soil moisture-vegetation interactions as a key to understanding TWS variations. We highlight the need for further observations to identify the adequate model structure rather than only model parameters for a reasonable representation and interpretation of vegetation-water interactions.DCEA - Departamento de Ciências e Engenharia do AmbienteRUNTrautmann, TinaKoirala, SujanCarvalhais, NunoGüntner, AndreasJung, Martin2023-03-22T22:28:23Z2022-02-242022-02-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttp://hdl.handle.net/10362/151070engTrautmann, T., Koirala, S., Carvalhais, N., Güntner, A., & Jung, M. (2022). The importance of vegetation in understanding terrestrial water storage variations. Hydrology and Earth System Sciences, 26(4), 1089-1109. https://doi.org/10.5194/hess-26-1089-20221027-5606PURE: 56609045https://doi.org/10.5194/hess-26-1089-2022info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:33:30Zoai:run.unl.pt:10362/151070Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:26.633870Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The importance of vegetation in understanding terrestrial water storage variations
title The importance of vegetation in understanding terrestrial water storage variations
spellingShingle The importance of vegetation in understanding terrestrial water storage variations
Trautmann, Tina
Water Science and Technology
Earth and Planetary Sciences (miscellaneous)
title_short The importance of vegetation in understanding terrestrial water storage variations
title_full The importance of vegetation in understanding terrestrial water storage variations
title_fullStr The importance of vegetation in understanding terrestrial water storage variations
title_full_unstemmed The importance of vegetation in understanding terrestrial water storage variations
title_sort The importance of vegetation in understanding terrestrial water storage variations
author Trautmann, Tina
author_facet Trautmann, Tina
Koirala, Sujan
Carvalhais, Nuno
Güntner, Andreas
Jung, Martin
author_role author
author2 Koirala, Sujan
Carvalhais, Nuno
Güntner, Andreas
Jung, Martin
author2_role author
author
author
author
dc.contributor.none.fl_str_mv DCEA - Departamento de Ciências e Engenharia do Ambiente
RUN
dc.contributor.author.fl_str_mv Trautmann, Tina
Koirala, Sujan
Carvalhais, Nuno
Güntner, Andreas
Jung, Martin
dc.subject.por.fl_str_mv Water Science and Technology
Earth and Planetary Sciences (miscellaneous)
topic Water Science and Technology
Earth and Planetary Sciences (miscellaneous)
description Funding Information: The article processing charges for this openaccess publication were covered by the Max Planck Society. Publisher Copyright: © 2022 Tina Trautmann et al.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-24
2022-02-24T00:00:00Z
2023-03-22T22:28:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/151070
url http://hdl.handle.net/10362/151070
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Trautmann, T., Koirala, S., Carvalhais, N., Güntner, A., & Jung, M. (2022). The importance of vegetation in understanding terrestrial water storage variations. Hydrology and Earth System Sciences, 26(4), 1089-1109. https://doi.org/10.5194/hess-26-1089-2022
1027-5606
PURE: 56609045
https://doi.org/10.5194/hess-26-1089-2022
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
application/pdf
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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