The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Hyper-resolution global hydrological modelling: what is next?: “Everywhere and locally relevant”
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Citations
Cites
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
Global monthly water stress: 1. Water balance and water availability
van Beek, L. P. H., Wada, Y., & Bierkens, M. F. P. (2011) · Water Resources Research · doi:10.1029/2010wr009791 · Cited by 555
Self-citationMüller 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
Self-citation
Cited by
MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., van Dijk, A. I. J. M., McVicar, T. R., & Adler, R. F. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-17-0138.1 · Cited by 1,411
Self-citationGlobal hydrology 2015: State, trends, and directions
Bierkens, M. F. P. (2015) · Water Resources Research · doi:10.1002/2015wr017173 · Cited by 493
Self-citationThe SWOT Mission and Its Capabilities for Land Hydrology
Biancamaria, S., Lettenmaier, D. P., & Pavelsky, T. M. (2016) · Surveys in Geophysics · doi:10.1007/s10712-015-9346-y · Cited by 458
Physically based modeling in catchment hydrology at 50: Survey and outlook
Paniconi, C., & Putti, M. (2015) · Water Resources Research · doi:10.1002/2015wr017780 · Cited by 374
High‐resolution modeling of human and climate impacts on global water resources
Wada, Y., de Graaf, I. E. M., & van Beek, L. P. H. (2016) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2015ms000618 · Cited by 217
Metadata
- Authors
- Bierkens, M. F. P., Bell, V. A., Burek, P., Chaney, N., Condon, L. E., David, C. H., de Roo, A., Döll, P., Drost, N., Famiglietti, J. S., Flörke, M., Gochis, D. J., Houser, P., Hut, R., Keune, J., Kollet, S., Maxwell, R. M., Reager, J. T., Samaniego, L., Sudicky, E., Sutanudjaja, E. H., van de Giesen, N., Winsemius, H., & Wood, E. F.
- Venue
- Hydrological Processes
- Publisher
- Wiley
- Published
- 2014-12-12
- Volume
- 29
- Issue
- 2
- Pages
- 310-320
- ISSN
- 0885-6087 (ISSN-L)
- OpenAlex
- W2154112865
- Cited by
- 391
- References
- 3
- FWCI
- 18.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Hyper-resolution global hydrological modelling: what is next?: “Everywhere and locally relevant”. https://app.cochat.ai/papers/10.1002/hyp.10391
- The paper
- Bierkens, M. F. P., Bell, V. A., Burek, P., Chaney, N., Condon, L. E., David, C. H., de Roo, A., Döll, P., Drost, N., Famiglietti, J. S., Flörke, M., Gochis, D. J., Houser, P., Hut, R., Keune, J., Kollet, S., Maxwell, R. M., Reager, J. T., Samaniego, L., . . . Wood, E. F. (2015). Hyper-resolution global hydrological modelling: what is next?: “Everywhere and locally relevant”. Hydrological Processes. https://doi.org/10.1002/hyp.10391
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
