Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
by
Zhou, Han
, Huang, Jiejun
, Yu, Jiaxin
, Yuan, Yanbin
in
Agricultural production
/ Bias
/ Climate change
/ Drought
/ Economic development
/ GDP
/ Gross Domestic Product
/ Mean square errors
/ Precipitation
/ Regions
/ Simulation
/ Standard deviation
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
by
Zhou, Han
, Huang, Jiejun
, Yu, Jiaxin
, Yuan, Yanbin
in
Agricultural production
/ Bias
/ Climate change
/ Drought
/ Economic development
/ GDP
/ Gross Domestic Product
/ Mean square errors
/ Precipitation
/ Regions
/ Simulation
/ Standard deviation
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
by
Zhou, Han
, Huang, Jiejun
, Yu, Jiaxin
, Yuan, Yanbin
in
Agricultural production
/ Bias
/ Climate change
/ Drought
/ Economic development
/ GDP
/ Gross Domestic Product
/ Mean square errors
/ Precipitation
/ Regions
/ Simulation
/ Standard deviation
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
Journal Article
Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Drought is a common and greatly influential natural disaster, yet its reliable estimation and prediction remain a challenge. The object of this paper is to investigate the spatiotemporal evolution of drought in the Yangtze River basin. The multi-time scale drought characteristics were analyzed based on 19 models and 3 emission scenarios of CMIP6. The results show that the CMIP6 model generally has moisture deviation in the Yangtze River basin, but the accuracy has been improved after correction and ensemble. The drought conditions in the near future (2030–2059) of the Yangtze River basin will be more severe than those in the historical period (1981–2010), with the drought intensity increasing by 7.47%, 18.24%, 18.34%, and 41.48% in the order of 1-month, 3-month, 6-month, and 12-month scales, but it will be alleviated in the far future (2070–2099) to 5.97%, 11.86%, −4.09%, and −8.97% of the historical period, respectively. The 1-month scale drought events are few, and the spatial heterogeneity is strong under different scenarios; areas of high frequency of the 3-month, 6-month, and 12-month scale drought events shift from the upper and middle reaches, middle and lower reaches in the historical period to the southwestern part of the entire basin in the future, and the harm of drought in these regions is also higher. The Yangtze River basin will get wetter, and the variability will increase in the future. The larger the time scale is, the more intense the change will be, with the 12-month scale varying about three times as much as the 1-month scale.
Publisher
MDPI AG
Subject
This website uses cookies to ensure you get the best experience on our website.