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The Coupled Model Predictability of the Western North Pacific Summer Monsoon with Different Leading Times
作者姓名:LU Ri-Yu  LI Chao-Fan  Se-Hwan YANG  Buwen DONG
作者单位:State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences
基金项目:supported by the Special Scientific Research Project for Public Interest (Grant No.GYHY201006021);supported by the U.K. National Centre for Atmospheric Science-Climate (NCAS-Climate) at the University of Reading
摘    要:Leading time length is an important issue for modeling seasonal forecasts. In this study, a comparison of the interannual predictability of the Western North Pacific (WNP) summer monsoon between different leading months was performed by using one-, four-, and sevenmonth lead retrospective forecasts (hindcasts) of four coupled models from Ensembles-Based Predictions of Climate Changes and Their Impacts (ENSEMBLES) for the period of 1960 2005. It is found that the WNP summer anomalies, including lower-tropospheric circulation and precipitation anomalies, can be well predicted for all these leading months. The accuracy of the four-month lead prediction is only slightly weaker than that of the one-month lead prediction, although the skill decreases with the increase of leading months.

关 键 词:seasonal  forecast  leading  month  Western  North  Pacific  coupled  models  ENSEMBLES

The Coupled Model Predictability of the Western North Pacific Summer Monsoon with Different Leading Times
LU Ri-Yu,LI Chao-Fan,Se-Hwan YANG,Buwen DONG.The Coupled Model Predictability of the Western North Pacific Summer Monsoon with Different Leading Times[J].Atmospheric and Oceanic Science Letters,2012,5(3):219-224.
Authors:LU Ri-Yu  LI Chao-Fan  Se-Hwan YANG and Buwen DONG
Institution:1. State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;1. State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;1. State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;2. National Centre for Atmospheric Science-Climate, Department of Meteorology, University of Reading, Reading, United Kingdom
Abstract:Leading time length is an important issue for modeling seasonal forecasts. In this study, a comparison of the interannual predictability of the Western North Pacific (WNP) summer monsoon between different leading months was performed by using one-, four-, and seven-month lead retrospective forecasts (hindcasts) of four coupled models from Ensembles-Based Predictions of Climate Changes and Their Impacts (ENSEMBLES) for the period of 1960-2005. It is found that the WNP summer anomalies, including lower-tropospheric circulation and precipitation anomalies, can be well predicted for all these leading months. The accuracy of the four-month lead prediction is only slightly weaker than that of the one-month lead prediction, although the skill decreases with the increase of leading months.
Keywords:seasonal forecast  leading month  Western North Pacific  coupled models  ENSEMBLES
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