Global hydrology 2015: State, trends, and directions
Open accessAbstract
Global hydrology has come a long way since the first introduction of the primitive land surface model of Manabe (1969) and the declaration of the “Emergence of Global Hydrology” by Eagleson (1986). Hydrological submodels of varying complexity are now part of global climate models, of models calculating global terrestrial carbon sequestration, of earth system models, and even of integrated assessment models. This paper reviews the current state of global hydrological modeling, discusses past and recent developments, and extrapolates these to future challenges and directions. First, established domains of global hydrological model applications are discussed, in terms of societal and science questions posed, the type of models developed, and recent advances therein. Next, a genealogy of global hydrological models is given. After reviewing recent efforts to connect model components from different domains, new domains are identified where global hydrology is now starting to become an integral part of the analyses. Finally, inspired by these new domains of application, persistent and emerging challenges are identified as well as the directions global hydrology is likely to take in the coming decade and beyond.
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Global hydrological models tend to show poor predictive performance in describing subsurface flow processes.
“Thus, global hydrological models tend to show poor predictive performance in describing subsurface flow processes [38].”
From Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2017) · cites this paper as [38]
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BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670 · see citing works
A mid-term analysis of progress toward international biodiversity targets
Tittensor, D. P., Walpole, M., Hill, S. L. L., Boyce, D. G., Britten, G. L., Burgess, N. D., Butchart, S. H. M., Leadley, P. W., Regan, E. C., Alkemade, R., et al. (2014) · Science · doi:10.1126/science.1257484 · Cited by 1,227 · see citing works
Müller 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
Slade, R., Bauen, A., & Gross, R. (2014) · Nature Climate Change · doi:10.1038/nclimate2097 · Cited by 249 · see citing works
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Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2720168 · Cited by 1,752 · see citing works
- Authors
- Bierkens, M. F. P.
- Affiliations
- Utrecht University (NL)
- Corresponding author
- Bierkens, Marc F. P.
- ORCID
- Bierkens, Marc F. P.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2015-07
- Volume
- 51
- Issue
- 7
- Pages
- 4923-4947
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2124220537
- Cited by
- 493
- References
- 4
- Citations by year
- 2026: 33 · 2025: 47 · 2024: 43 · 2023: 60 · 2022: 54 · 2021: 81 · 2020: 37 · 2019: 40 · 2018: 44 · 2017: 36 · 2016: 17 · 2015: 1
- FWCI
- 21.64
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.library.uu.nl
- Licence
- Locations
- Water Resources Research (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- 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 › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
- Keywords
- global hydrological modelling, global hydrology, land surface model, global climate models, terrestrial carbon sequestration, Earth system models, integrated assessment models, model integration, future research directions
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