The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation
Open accessAbstract
Both seasonal and annual mean precipitation and evaporation influence patterns of water availability impacting society and ecosystems. Existing global climate studies rarely consider such patterns from non-parametric statistical standpoint. Here, we employ a non-parametric analysis framework to analyze seasonal hydroclimatic regimes by classifying global land regions into nine regimes using late 20th century precipitation means and seasonality. These regimes are used to assess implications for water availability due to concomitant changes in mean and seasonal precipitation and evaporation changes using CMIP5 model future climate projections. Out of 9 regimes, 4 show increased precipitation variation, while 5 show decreased evaporation variation coupled with increasing mean precipitation and evaporation. Increases in projected seasonal precipitation variation in already highly variable precipitation regimes gives rise to a pattern of “seasonally variable regimes becoming more variable”. Regimes with low seasonality in precipitation, instead, experience increased wet season precipitation.
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Cites
Updated world map of the Köppen-Geiger climate classification
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007) · doi:10.5194/hessd-4-439-2007 · Cited by 13,640
World map of the Köppen-Geiger climate classification updated
Kottek, M., Grieser, J., Beck, C., Rudolf, B., & Rubel, F. (2006) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2006/0130 · Cited by 11,456
Global hydrological cycles and world water resources
Oki, T., & Kanae, S. (2006) · Science · doi:10.1126/science.1128845 · Cited by 4,392
A meta-analysis of crop yield under climate change and adaptation
Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., & Chhetri, N. (2014) · Nature Climate Change · doi:10.1038/nclimate2153 · Cited by 2,333
More extreme precipitation in the world’s dry and wet regions
Donat, M. G., Lowry, A. L., Alexander, L. V., O’Gorman, P. A., & Maher, N. (2016) · Nature Climate Change · doi:10.1038/nclimate2941 · Cited by 1,792
Robustness and uncertainties in the new CMIP5 climate model projections
Knutti, R., & Sedláček, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1716 · Cited by 1,569
Influence of Anthropogenic Climate Change on Planetary Wave Resonance and Extreme Weather Events
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Self-citationCurrent changes in tropical precipitation
Allan, R. P., Soden, B. J., John, V. O., Ingram, W., & Good, P. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/2/025205 · Cited by 275
Cited by
EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring
Wang, Z., Brand, R., Adolf-Bryfogle, J., Grewal, J., Qi, Y., Combs, S. A., Golovach, N., Alford, R., Rangwala, H., & Clark, P. M. (2024) · ACS Omega · doi:10.1021/acsomega.3c04889 · Cited by 3
Metadata
- Authors
- Konapala, G., Mishra, A. K., Wada, Y., & Mann, M. E.
- Venue
- Nature Communications
- Published
- 2020-06-23
- Volume
- 11
- Issue
- 1
- Pages
- 3044-3044
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3036708439
- Cited by
- 1,199
- References
- 8
- FWCI
- 45.73
- Type
- journal article
- Language
- en
- Open access
- gold
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