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1000 Titel
  • Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data
1000 Autor/in
  1. Scanlon, Bridget R. |
  2. Zhang, Zizhan |
  3. Save, Himanshu |
  4. Sun, Alexander Y. |
  5. Müller Schmied, Hannes |
  6. van Beek, Ludovicus P. H. |
  7. Wiese, David N. |
  8. Wada, Yoshihide |
  9. Long, Di |
  10. Reedy, Robert C. |
  11. Longuevergne, Laurent |
  12. Döll, Petra |
  13. Bierkens, Marc F.P. |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-01-22
1000 Erschienen in
1000 Quellenangabe
  • 115(6):E1080-E1089
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1073/pnas.1704665115 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819387/ |
1000 Ergänzendes Material
  • http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1704665115/-/DCSupplemental |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • SIGNIFICANCE: We increasingly rely on global models to project impacts of humans and climate on water resources. How reliable are these models? While past model intercomparison projects focused on water fluxes, we provide here the first comprehensive comparison of land total water storage trends from seven global models to trends from Gravity Recovery and Climate Experiment (GRACE) satellites, which have been likened to giant weighing scales in the sky. The models underestimate the large decadal (2002–2014) trends in water storage relative to GRACE satellites, both decreasing trends related to human intervention and climate and increasing trends related primarily to climate variations. The poor agreement between models and GRACE underscores the challenges remaining for global models to capture human or climate impacts on global water storage trends.
  • Assessing reliability of global models is critical because of increasing reliance on these models to address past and projected future climate and human stresses on global water resources. Here, we evaluate model reliability based on a comprehensive comparison of decadal trends (2002–2014) in land water storage from seven global models (WGHM, PCR-GLOBWB, GLDAS NOAH, MOSAIC, VIC, CLM, and CLSM) to trends from three Gravity Recovery and Climate Experiment (GRACE) satellite solutions in 186 river basins (∼60% of global land area). Medians of modeled basin water storage trends greatly underestimate GRACE-derived large decreasing (≤−0.5 km3/y) and increasing (≥0.5 km3/y) trends. Decreasing trends from GRACE are mostly related to human use (irrigation) and climate variations, whereas increasing trends reflect climate variations. For example, in the Amazon, GRACE estimates a large increasing trend of ∼43 km3/y, whereas most models estimate decreasing trends (−71 to 11 km3/y). Land water storage trends, summed over all basins, are positive for GRACE (∼71–82 km3/y) but negative for models (−450 to −12 km3/y), contributing opposing trends to global mean sea level change. Impacts of climate forcing on decadal land water storage trends exceed those of modeled human intervention by about a factor of 2. The model-GRACE comparison highlights potential areas of future model development, particularly simulated water storage. The inability of models to capture large decadal water storage trends based on GRACE indicates that model projections of climate and human-induced water storage changes may be underestimated.
1000 Sacherschließung
lokal global hydrological models
lokal land surface models
lokal terrestrial total water storage anomalies
lokal global mean sea level
lokal GRACE satellites
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2NhbmxvbiwgQnJpZGdldCBSLg==|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFppemhhbg==|https://orcid.org/0000-0003-4565-9354|https://frl.publisso.de/adhoc/uri/U3VuLCBBbGV4YW5kZXIgWS4=|https://orcid.org/0000-0001-5330-9923|https://frl.publisso.de/adhoc/uri/dmFuIEJlZWssIEx1ZG92aWN1cyBQLiBILg==|https://frl.publisso.de/adhoc/uri/V2llc2UsIERhdmlkIE4u|https://orcid.org/0000-0003-4770-2539|https://frl.publisso.de/adhoc/uri/TG9uZywgRGk=|https://frl.publisso.de/adhoc/uri/UmVlZHksIFJvYmVydCBDLg==|https://orcid.org/0000-0003-3169-743X|https://orcid.org/0000-0003-2238-4546|https://orcid.org/0000-0002-7411-6562
1000 Label
1000 Förderer
  1. Jackson School of Geosciences,University of Texas at Austin |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
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    1000 Förderer Jackson School of Geosciences,University of Texas at Austin |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6425680.rdf
1000 Erstellt am 2021-02-16T13:42:24.655+0100
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  1. oai:frl.publisso.de:frl:6425680 |
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