The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Observed State of the Water Cycle in the Early Twenty-First Century
Open accessAbstract
This study quantifies mean annual and monthly fluxes of Earth’s water cycle over continents and ocean basins during the first decade of the millennium. To the extent possible, the flux estimates are based on satellite measurements first and data-integrating models second. A careful accounting of uncertainty in the estimates is included. It is applied within a routine that enforces multiple water and energy budget constraints simultaneously in a variational framework in order to produce objectively determined optimized flux estimates. In the majority of cases, the observed annual surface and atmospheric water budgets over the continents and oceans close with much less than 10% residual. Observed residuals and optimized uncertainty estimates are considerably larger for monthly surface and atmospheric water budget closure, often nearing or exceeding 20% in North America, Eurasia, Australia and neighboring islands, and the Arctic and South Atlantic Oceans. The residuals in South America and Africa tend to be smaller, possibly because cold land processes are negligible. Fluxes were poorly observed over the Arctic Ocean, certain seas, Antarctica, and the Australasian and Indonesian islands, leading to reliance on atmospheric analysis estimates. Many of the satellite systems that contributed data have been or will soon be lost or replaced. Models that integrate ground-based and remote observations will be critical for ameliorating gaps and discontinuities in the data records caused by these transitions. Continued development of such models is essential for maximizing the value of the observations. Next-generation observing systems are the best hope for significantly improving global water budget accounting.
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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
Global hydrological cycles and world water resources
Oki, T., & Kanae, S. (2006) · Science · doi:10.1126/science.1128845 · Cited by 4,392
Global warming and changes in drought
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich, J., Briffa, K. R., & Sheffield, J. (2014) · Nature Climate Change · doi:10.1038/nclimate2067 · Cited by 3,382 · cited 2×
“…is assumed to be zero, while the net energy transfer to the ocean basins is assumed to be 0.6Wm22 with an uncertainty of 0.4Wm22, based upon recent estimates of ocean heat storage from the Argo array [Willis et al. 2009; Lyman et al. 2010; see Trenberth et al. (2014b) for a thorough discussion].”
BackgroundSelf-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
Cited by
Emerging trends in global freshwater availability
Rodell, M., Famiglietti, J. S., Wiese, D. N., Reager, J. T., Beaudoing, H. K., Landerer, F. W., & Lo, M.-H. (2018) · Nature · doi:10.1038/s41586-018-0123-1 · Cited by 2,107
Self-citationA global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset
Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., van Dijk, A., Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B., Eisner, S., et al. (2017) · Earth System Science Data · doi:10.5194/essd-9-389-2017 · Cited by 319
The Fate of Land Evaporation—A Global Dataset
Link, A., van der Ent, R., Berger, M., Eisner, S., & Finkbeiner, M. (2020) · Earth System Science Data · doi:10.5194/essd-12-1897-2020 · Cited by 46
A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015
Kitambo, B. M., Papa, F., Paris, A., Tshimanga, R. M., Frappart, F., Calmant, S., Elmi, O., Fleischmann, A. S., Becker, M., Tourian, M. J., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-2957-2023 · Cited by 19
Metadata
- Authors
- Rodell, M., Beaudoing, H. K., L’Ecuyer, T. S., Olson, W. S., Famiglietti, J. S., Houser, P. R., Adler, R., Bosilovich, M. G., Clayson, C. A., Chambers, D., Clark, E., Fetzer, E. J., Gao, X., Gu, G., Hilburn, K., Huffman, G. J., Lettenmaier, D. P., Liu, W. T., Robertson, F. R., Schlosser, C. A., Sheffield, J., & Wood, E. F.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2015-10-30
- Volume
- 28
- Issue
- 21
- Pages
- 8289-8318
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2121687501
- Cited by
- 380
- References
- 4
- FWCI
- 14.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rodell, M., Beaudoing, H. K., L’Ecuyer, T. S., Olson, W. S., Famiglietti, J. S., Houser, P. R., Adler, R., Bosilovich, M. G., Clayson, C. A., Chambers, D., Clark, E., Fetzer, E. J., Gao, X., Gu, G., Hilburn, K., Huffman, G. J., Lettenmaier, D. P., Liu, W. T., Robertson, F. R., . . . Wood, E. F. (2015). The Observed State of the Water Cycle in the Early Twenty-First Century. Journal of Climate. https://doi.org/10.1175/jcli-d-14-00555.1
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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.