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印度洋与南海区域春季再分析资料对比研究

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本文采用自主研发的EARR区域气候分析模式,选取 2015 年 4 月表征春季印度洋区域与南海区域的几个要素:2m温度,2m相对湿度,10m风(包括经向风和纬向风),进行资料同化处理,得到的再分析资料与美国国家环境预测中心(NCEP)研发的NCEP再分析资料、欧洲气象数据中心(ECMWF)研发的ERA-Interim再分析资料、日本气象厅(JMA)研发的JRA-55 的 55 年再分析资料、TRMM气象卫星传感器的多元气象降水数据等进行对比研究,重点关注EARR区域再分析资料在两个区域内受地形、季风等因素的影响下,对于气候预测的准确度和预报的准确性,以及与其他模式相比,EARR区域分析模式在预报和气候分析上的优势和缺点.
A comparative study of spring reanalysis data of the Indian Ocean and the South China Sea
This paper adopts the independently developed EARR regional climate analysis model,selecting several elements in April 2015 that characterize the spring Indian Ocean and South China Sea regions:2m temperature,2m relative humidity,and 10m wind(including zonal and meridional wind)for data assimilation processing,and then comparing the reanalysis data obtained with the NCEP reanalysis data developed by the National Environmental Prediction Center(NCEP),the ERA-Interim reanalysis data developed by the European Centre for Medium-Range Weather Forecasts(ECMWF),the 55-year reanalysis data developed by the Japan Meteorological Agency(JMA)known as JRA-55,and the multi-meteorological precipitation data from the TRMM meteorological satellite sensors.The study focuses on the accuracy of climate prediction and the accuracy of forecasts of the EARR regional reanalysis data under the influence of topography,monsoon,and other factors in the two regions,as well as the advantages and disadvantages of the EARR regional analysis model in forecasting and climate analysis compared to other models.

reanalysis dataregional climate analysiscomparative study

姚如时、廖晓婷、苏礼贤

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惠安县气象局,福建 泉州 362100

再分析资料 区域气候分析 对比研究

2025

黑龙江环境通报
国家环保局信息所齐齐哈尔市环境监测中心

黑龙江环境通报

影响因子:0.138
ISSN:1674-263X
年,卷(期):2025.38(1)