The DOI matches its Crossref record; 208 of the 208 references it cites were found in a registry or an index.
Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change
Abstract
This review examines the role of the atmospheric evaporative demand (AED) in drought. AED is a complex concept and here we discuss possible AED definitions, the subsequent metrics to measure and estimate AED, and the different physical drivers that control it. The complex influence of AED on meteorological, environmental/agricultural and hydrological droughts is discussed, stressing the important spatial differences related to the climatological conditions. Likewise, AED influence on drought has implications regarding how different drought metrics consider AED in their attempts to quantify drought severity. Throughout the article, we assess literature findings with respect to: (a) recent drought trends and future projections; (b) the several uncertainties related to data availability; (c) the sensitivity of current drought metrics to AED; and (d) possible roles that both the radiative and physiological effects of increasing atmospheric CO 2 concentrations may play as we progress into the future. All these issues preclude identifying a simple effect of the AED on drought severity. Rather it calls for different evaluations of drought impacts and trends under future climate scenarios, considering the complex feedbacks governing the climate system. This article is categorized under: Paleoclimates and Current Trends > Earth System Behavior
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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
Crop evapotranspiration : guidelines for computing crop water requirements
Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998) · FAO eBooks · Cited by 20,520
Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) · Journal of Climate · doi:10.1175/2009jcli2909.1 · Cited by 9,493
Self-citationAn Approach toward a Rational Classification of Climate
Thornthwaite, C. W. (1948) · Geographical Review · doi:10.2307/210739 · Cited by 9,087
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N., Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. H. (., et al. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.001 · Cited by 7,763
(1993) · Cited by 7,699
Natural evaporation from open water, bare soil and grass
Penman, H. L. (1948) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1948.0037 · Cited by 7,307
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
PRIESTLEY, C. H. B., & TAYLOR, R. J. (1972) · Monthly Weather Review · doi:10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2 · Cited by 6,574
Updated 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
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Hari, V., Rakovec, O., Markonis, Y., Hanel, M., & Kumar, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-68872-9 · Cited by 485
Zhang, X., Hao, Z., Singh, V. P., Zhang, Y., Feng, S., Xu, Y., & Hao, F. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156021 · Cited by 429
Heat Waves: Physical Understanding and Scientific Challenges
Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, D. G., & Salcedo‐Sanz, S. (2023) · Reviews of Geophysics · doi:10.1029/2022rg000780 · Cited by 404
Self-citationMateria, S., Ardilouze, C., Prodhomme, C., Donat, M. G., Benassi, M., Doblas-Reyes, F. J., Peano, D., Caron, L.-P., Ruggieri, P., & Gualdi, S. (2022) · Climate Dynamics · doi:10.1007/s00382-021-05815-8 · Cited by 48
Metadata
- Authors
- Vicente‐Serrano, S. M., McVicar, T. R., Miralles, D. G., Yang, Y., & Tomas‐Burguera, M.
- Venue
- WIREs Climate Change
- Publisher
- Wiley
- Published
- 2019-12-19
- Volume
- 11
- Issue
- 2
- ISSN
- 1757-7780 (ISSN-L)
- 1757-7799
- OpenAlex
- W2996256338
- Cited by
- 299
- References
- 208
- FWCI
- 13.44
- Type
- journal article
- Language
- en
- Open access
- closed
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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.