The DOI matches its Crossref record.
Climatology of the terrestrial seasonal water cycle
Abstract
Calculations of the spatial and seasonal variations of the continental fields of snow‐cover, soil moisture and evapotranspiration are presented and interpreted. The calculations were made with a water budget analysis that is based on observed average monthly precipitation and an estimate of potential evapotranspiration derived from observed average monthly surface temperature, using a modified version of the method of Thornthwaite. Monthly average water budget analyses were made for 13,332 stations over the globe and, then spatially interpolated to a regular grid at 1° by 1° latitude‐longitude intervals. From the monthly fields on a 4° by 5° subset of the 1° by 1° grid, the annual mean and standard deviation as well as the first and second annual harmonics were extracted and are displayed on global maps. Of the three fields, soil moisture has the largest space‐time variation; snow‐cover the smallest variation; and evapotranspiration an intermediate level of variation.
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
Cited by
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018) · Scientific Data · doi:10.1038/sdata.2017.191 · Cited by 3,421
Impact of anthropogenic climate change on wildfire across western US forests
Abatzoglou, J. T., & Williams, A. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607171113 · Cited by 3,073
Nobre, C. A., Sampaio, G., Borma, L. S., Castilla-Rubio, J. C., Silva, J. S., & Cardoso, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605516113 · Cited by 1,045
Long-term climate and competition explain forest mortality patterns under extreme drought
Young, D. J. N., Stevens, J. T., Earles, J. M., Moore, J., Ellis, A., Jirka, A. L., & Latimer, A. M. (2017) · Ecology Letters · doi:10.1111/ele.12711 · Cited by 443
Simulation of the regional climatic impact of Amazon deforestation
Lean, J., & Warrilow, D. A. (1989) · Nature · doi:10.1038/342411a0 · Cited by 417
Metadata
- Authors
- Willmott, C. J., Rowe, C. M., & Mintz, Y.
- Venue
- Journal of Climatology
- Publisher
- Wiley
- Published
- 1985-11
- Volume
- 5
- Issue
- 6
- Pages
- 589-606
- ISSN
- 0196-1748 (ISSN-L)
- OpenAlex
- W1964478938
- Cited by
- 528
- References
- 0
- FWCI
- 6.34
- 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: Climatology of the terrestrial seasonal water cycle. https://app.cochat.ai/papers/10.1002/joc.3370050602
- The paper
- Willmott, C. J., Rowe, C. M., & Mintz, Y. (1985). Climatology of the terrestrial seasonal water cycle. Journal of Climatology. https://doi.org/10.1002/joc.3370050602
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.
