Increase of Future Summer Rainfall in the Middle and Lower Reach of the Yangtze River Basin Projected With a Nonhomogeneous Hidden Markov Model-Reference-Cited by-同舟云学术

Increase of Future Summer Rainfall in the Middle and Lower Reach of the Yangtze River Basin Projected With a Nonhomogeneous Hidden Markov Model

Published:2022-04-05 Issue:7 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Guo Lianyi¹²^ORCID,Jiang Zhihong²^ORCID,Li Laurent³^ORCID,Wang Huijun¹²⁴

Affiliation:

1. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disasters Ministry of Education/Joint International Research Laboratory of Climate and Environment Change Nanjing University of Information Science and Technology Nanjing China

3. Laboratoire de Météorologie Dynamique CNRS Sorbonne Université Ecole Normale Supérieure Ecole Polytechnique Paris France

4. Nansen‐Zhu International Research Centre Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL097325

Reference31 articles.

1. hsmm — An R package for analyzing hidden semi-Markov models

2. Projecting changes in Tanzania rainfall for the 21st century

3. Stochastic Scenarios for 21st Century Rainfall Seasonality, Daily Frequency, and Intensity in South Florida

4. Large scale climate and rainfall seasonality in a Mediterranean Area: Insights from a non-homogeneous Markov model applied to the Agro-Pontino plain

5. Downscaling and projection of summer rainfall in Eastern China using a nonhomogeneous hidden Markov model

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