Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning-Reference-Cited by-同舟云学术

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Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning

Published:2022-12-08 Issue:23 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Egli Marius¹^ORCID,Sippel Sebastian¹^ORCID,Pendergrass Angeline G.²³^ORCID,de Vries Iris¹,Knutti Reto¹^ORCID

Affiliation:

1. Institute for Atmospheric and Climate Science ETH Zurich Zurich Switzerland

2. Department of Earth and Atmospheric Sciences Cornell University Ithaca NY USA

3. National Center for Atmospheric Research Climate and Global Dynamics Laboratory Boulder CO USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL099826

Reference37 articles.

1. The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation

2. Infilling missing precipitation records – A comparison of a new copula-based method with other techniques

3. Viewing Forced Climate Patterns Through an AI Lens

4. No projected global drylands expansion under greenhouse warming

5. Bindoff N. L. Stott P. A. AchutaRao K. M. Allen M. R. Gillett N. Gutzler D. et al. (2013).Detection and attribution of climate change: From global to regional.

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