The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data
Abstract
The WFDEI meteorological forcing data set has been generated using the same methodology as the widely used WATCH Forcing Data (WFD) by making use of the ERA‐Interim reanalysis data. We discuss the specifics of how changes in the reanalysis and processing have led to improvement over the WFD. We attribute improvements in precipitation and wind speed to the latest reanalysis basis data and improved downward shortwave fluxes to the changes in the aerosol corrections. Covering 1979–2012, the WFDEI will allow more thorough comparisons of hydrological and Earth System model outputs with hydrologically and phenologically relevant satellite products than using the WFD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
Self-citationUppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Bechtold, V. D. C., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., et al. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.04.176 · Cited by 6,804
Self-citationUpdated high‐resolution grids of monthly climatic observations – the CRU TS3 .10 Dataset
Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014) · International Journal of Climatology · doi:10.1002/joc.3711 · Cited by 6,094
Two algorithms for constructing a Delaunay triangulation
Lee, D. T., & Schachter, B. J. (1980) · International Journal of Computer & Information Sciences · doi:10.1007/bf00977785 · Cited by 1,584
The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-677-2011 · Cited by 1,545
Self-citationSchneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Ziese, M., & Rudolf, B. (2014) · Theoretical and Applied Climatology · doi:10.1007/s00704-013-0860-x · Cited by 1,385
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
Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Österle, H., Adam, J. C., Bellouin, N., Boucher, O., & Best, M. (2011) · Journal of Hydrometeorology · doi:10.1175/2011jhm1369.1 · Cited by 832
Self-citationPrudhomme, C., Giuntoli, I., Robinson, E. L., Clark, D. B., Arnell, N. W., Dankers, R., Fekete, B. M., Franssen, W., Gerten, D., Gosling, S. N., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222473110 · Cited by 777
Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results
Haddeland, I., Clark, D. B., Franssen, W., Ludwig, F., Voß, F., Arnell, N. W., Bertrand, N., Best, M., Folwell, S., Gerten, D., et al. (2011) · Journal of Hydrometeorology · doi:10.1175/2011jhm1324.1 · Cited by 541
Self-citation
Cited by
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
Harris, I., Osborn, T. J., Jones, P., & Lister, D. (2020) · Scientific Data · doi:10.1038/s41597-020-0453-3 · Cited by 4,906
Importance and vulnerability of the world’s water towers
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., Hyde, S., Brumby, S., Davies, B. J., Elmore, A. C., et al. (2020) · Nature · doi:10.1038/s41586-019-1822-y · Cited by 2,105
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., Collier, N., Ghimire, B., van Kampenhout, L., Kennedy, D., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001583 · Cited by 2,060
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
Kummu, M., Guillaume, J. H. A., de Moel, H., Eisner, S., Flörke, M., Porkka, M., Siebert, S., Veldkamp, T. I. E., & Ward, P. J. (2016) · Scientific Reports · doi:10.1038/srep38495 · Cited by 957
Metadata
- Authors
- Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., & Viterbo, P.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2014-09
- Volume
- 50
- Issue
- 9
- Pages
- 7505-7514
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2072613263
- Cited by
- 1,073
- References
- 21
- FWCI
- 49.80
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data. https://app.cochat.ai/papers/10.1002/2014wr015638
- The paper
- Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., & Viterbo, P. (2014). The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis data. Water Resources Research. https://doi.org/10.1002/2014wr015638
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.
