Stochastic Approach to the Evolution of the Global Water Cycle: Results of Historical Experiments on the CMIP-6 Models
Author:
Funder
Russian Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00024-024-03567-0.pdf
Reference33 articles.
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3. Dobrovolski, S. G. (2000). Stochastic climate theory: Models and applications (p. 282). Springer Science & Business Media.
4. Dobrovolski, S. G. (2017). Global hydrology. Processes and forecasts (p. 526). M. Geos. in Russian.
5. Dobrovolski, S. G., Yushkov, V. P., & Istomina, M. N. (2019). Statistical modeling of the global river runoff using GCMs: Comparison with the observational data and reanalysis results. Water Resources, 46(2), S17–S24.
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