Seasonal Rainfall Forecasts for the Yangtze River Basin of China in Summer 2019 from an Improved Climate Service

作     者：Philip E.BETT Nicola MARTIN Adam A.SCAIFE Nick DUNSTONE Gill M.MARTIN Nicola GOLDING Joanne CAMP Peiqun ZHANG Chris D.HEWITT Leon HERMANSON Chaofan LI Hong-Li REN Ying LIU Min LIU Philip E. BETT;Nicola MARTIN;Adam A. SCAIFE;Nick DUNSTONE;Gill M. MARTIN;Nicola GOLDING;Joanne CAMP;Peiqun ZHANG;Chris D. HEWITT;Leon HERMANSON;Chaofan LI;Hong-Li REN;Ying LIU;Min LIU

作者机构：Met Office Hadley CentreExeter EXI 3PBUK Plymouth Marine LaboratoryPlymouth PL13DHUK College of EngineeringMathematics and Physical SciencesUniversity of ExeterDevon EX44QFUK Laboratory for Climate StudiesNational Climate CenterChina Meteorological AdministrationBeijing 100081China University of Southern QueenslandToowoomba QLD 4350Australia Center for Monsoon System ResearchInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science&TechnologyNanjing 210044China Wuhan Regional Climate CenterWuhan 430074China 

出 版 物：《Journal of Meteorological Research》 (气象学报（英文版）)

年 卷 期：2020年第34卷第5期

页      面：904-916页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：Supported by the UK–China Research and Innovation Partnership Fund through the Met Office Climate Science for Service Partnership(CSSP)China as part of the Newton Fund 

主　　题：seasonal rainfall forecasts climate service Yangtze River basin(YRB) East Asian summer monsoon(EASM) 

摘      要：Rainfall forecasts for the summer monsoon season in the Yangtze River basin(YRB) allow decision-makers to plan for possible flooding, which can affect the lives and livelihoods of millions of people. A trial climate service was developed in 2016, producing a prototype seasonal forecast product for use by stakeholders in the region, based on rainfall forecasts directly from a dynamical model. Here, we describe an improved service based on a simple statistical downscaling approach. Through using dynamical forecast of an East Asian summer monsoon(EASM) index, seasonal mean rainfall for the upper and middle/lower reaches of YRB can be forecast separately by use of the statistical downscaling, with significant skills for lead times of up to at least three months. The skill in different sub-basin regions of YRB varies with the target season. The rainfall forecast skill in the middle/lower reaches of YRB is significant in May–June–July(MJJ), and the forecast skill for rainfall in the upper reaches of YRB is significant in June–July–August(JJA). The mean rainfall for the basin as a whole can be skillfully forecast in both MJJ and JJA. The forecasts issued in 2019 gave good guidance for the enhanced rainfall in the MJJ period and the near-average conditions in JJA. Initial feedback from users in the basin suggests that the improved forecasts better meet their needs and will enable more robust decision-making.