Using statistical downscaling to assess skill of decadal predictions-Reference-Cited by-同舟云学术

Using statistical downscaling to assess skill of decadal predictions

Published:2019-01-01 Issue:1 Volume:71 Page:1652882
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Benestad Rasmus¹,Caron Louis-Philippe²,Parding Kajsa¹,Iturbide Maialen³,Gutierrez Llorente Jose Manuel³,Mezghani Abdelkader¹,Doblas-Reyes Francisco J.²⁴

Affiliation:

1. The Norwegian Meteorological Institute, Oslo, Norway;

2. Barcelona Supercomputing Center, Barcelona, Spain;

3. University of Cantabria, Santander, Spain;

4. ICREA, Barcelona, Spain

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/16000870.2019.1652882

Reference44 articles.

1. The Jet-Stream Conundrum

2. What to use to express the variability of data: Standard deviation or standard error of mean?

3. Comparison of Near-Surface Air Temperature Variability in 11 Coupled Global Climate Models

4. Novel methods for inferring future changes in extreme rainfall over Northern Europe

5. New vigour involving statisticians to overcome ensemble fatigue

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Global surface area receiving daily precipitation, wet-day frequency and probability of extreme rainfall: Water Security and Climate Change;2023-08-22

2. Various ways of using empirical orthogonal functions for climate model evaluation;Geoscientific Model Development;2023-05-26

3. Robust Decadal Hydroclimate Predictions for Northern Italy Based on a Twofold Statistical Approach;Atmosphere;2020-06-25

4. Multi-year prediction of European summer drought conditions for the agricultural sector;Environmental Research Letters;2019-11-27