The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rivers and Floodplains as Key Components of Global Terrestrial Water Storage Variability
Open accessAbstract
This study quantifies the contribution of rivers and floodplains to terrestrial water storage (TWS) variability. We use state‐of‐the‐art models to simulate land surface processes and river dynamics and to separate TWS into its main components. Based on a proposed impact index, we show that surface water storage (SWS) contributes 8% of TWS variability globally, but that contribution differs widely among climate zones. Changes in SWS are a principal component of TWS variability in the tropics, where major rivers flow over arid regions and at high latitudes. SWS accounts for ~22–27% of TWS variability in both the Amazon and Nile Basins. Changes in SWS are negligible in the Western U.S., Northern Africa, Middle East, and central Asia. Based on comparisons with Gravity Recovery and Climate Experiment‐based TWS, we conclude that accounting for SWS improves simulated TWS in most of South America, Africa, and Southern Asia, confirming that SWS is a key component of TWS variability.
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
Global hydrological cycles and world water resources
Oki, T., & Kanae, S. (2006) · Science · doi:10.1126/science.1128845 · Cited by 4,392
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-citationTowards hybrid modeling of the global hydrological cycle
Kraft, B., Jung, M., Körner, M., Koirala, S., & Reichstein, M. (2022) · Hydrology and Earth System Sciences · doi:10.5194/hess-26-1579-2022 · Cited by 173
Kitambo, B. M., Wongchuig, S., Tshimanga, R. M., Paris, A., Blazquez, A., Moreira, D., Frappart, F., Fleischmann, A. S., Kileshye, J.-M. O., Tourian, M. J., et al. (2025) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2025.102810 · Cited by 5
Metadata
- Authors
- Getirana, A., Kumar, S., Girotto, M., & Rodell, M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-10-21
- Volume
- 44
- Issue
- 20
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2760881119
- Cited by
- 162
- References
- 1
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Rivers and Floodplains as Key Components of Global Terrestrial Water Storage Variability. https://app.cochat.ai/papers/10.1002/2017gl074684
- The paper
- Getirana, A., Kumar, S., Girotto, M., & Rodell, M. (2017). Rivers and Floodplains as Key Components of Global Terrestrial Water Storage Variability. Geophysical Research Letters. https://doi.org/10.1002/2017gl074684
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.
