Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins
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For global-scale applications, hydrologic models are often uncalibrated, leading to large predictive uncertainty.
“For global-scale applications, however, models are often uncalibrated (Hattermann et al., 2017;Zaherpour et al., 2018), leading to large predictive uncertainty.”
From The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment (2023) · cites this paper as Hattermann et al., 2017
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052 · see citing works
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238 · cited 2× · see citing works
“Five Earth System Models (HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM- CHEM, GFDL-ESM2M, NorESM1-M) which have been bias-corrected using a trendpreserving method (Hempel et al. 2013), were applied.”
MethodMüller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., & Döll, P. (2014) · Hydrology and Earth System Sciences · doi:10.5194/hess-18-3511-2014 · Cited by 415 · see citing works
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Feng, D., Beck, H., Lawson, K., & Shen, C. (2023) · Hydrology and Earth System Sciences · doi:10.5194/hess-27-2357-2023 · Cited by 197 · see citing works
- Authors
- Hattermann, F. F., Krysanova, V., Gosling, S. N., Dankers, R., Daggupati, P., Donnelly, C., Flörke, M., Huang, S., Motovilov, Y., Buda, S., Yang, T., Müller, C., Leng, G., Tang, Q., Portmann, F. T., Hagemann, S., Gerten, D., Wada, Y., Masaki, Y., Alemayehu, T., Satoh, Y., & Samaniego, L.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- University of Nottingham (GB)
- Met Office (GB)
- University of Guelph (CA)
- Swedish Meteorological and Hydrological Institute (SE)
- University of Kassel (DE)
- Russian Academy of Sciences (RU)
- Hohai University (CN)
- Joint Global Change Research Institute (US)
- Chinese Academy of Sciences (CN)
- Goethe University Frankfurt (DE)
- Max Planck Institute for Meteorology (DE)
- Humboldt-Universität zu Berlin (DE)
- Goddard Institute for Space Studies (US)
- National Institute for Environmental Studies (JP)
- Vrije Universiteit Brussel (BE)
- International Institute for Applied Systems Analysis (AT)
- Helmholtz Centre for Environmental Research (DE)
- Corresponding author
- Hattermann, F. F.
- ORCID
- Venue
- Climatic Change
- Published
- 2017-01-04
- Volume
- 141
- Issue
- 3
- Pages
- 561-576
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2568995074
- Cited by
- 211
- References
- 3
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 17 · 2023: 21 · 2022: 39 · 2021: 20 · 2020: 31 · 2019: 18 · 2018: 24 · 2017: 14 · 2016: 2
- FWCI
- 12.12
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- Climatic Change (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- IIASA PURE (International Institute of Applied Systems Analysis) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Nottingham ePrints (University of Nottingham) (submittedVersion, cc-by)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Greater South Information System
- Funders
- Bundesministerium für Bildung und Forschung (01LS1201A)
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
- Keywords
- climate change impacts, hydrological models, river discharge, model calibration and validation, large river basins, model uncertainty
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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