1 Introduction / JRA-55数据集介绍 The Japan Meteorological Agency (JMA) carried out the second reanalysis project (known as the Japanese 55-year Reanalysis, or JRA-55) using a more sophisticated DA system based on the operational system as of December 2009, and newly prepared dataset of past ...
気象庁55 年長期再解析(JRA-55)の可降水量の全球の再解析値は、他再解析値と比較して最も小さく、それは対流圏中層の乾燥バイアスが影響していると述べられている。これに際し、JRA-55 可降水量とその格子点に対応するGPS可降水量との比較が行われたが[3]、その発表ではJRA...
Early results of JRA-55 are presented and discussed, showing general improvements. 展开▼ 机译:参考文献(24)被引用的文献(119)补充材料(2)日本气象厅(JMA)启动了第二个日本全球大气再分析项目,即日本55年再分析(JRA-55)。它涵盖了55年,可追溯到1958年,即建立了全球无线电探空仪观测系统。第一次日本...
We present a new surface-atmospheric dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The JRA55-do dataset aims to replace the CORE interannual forcing version 2 (hereafter called the CORE dataset), which is ...
We present a new surface-atmospheric dataset for driving ocean-sea-ice models based on Japanese 55-year atmospheric reanalysis (JRA-55), referred to here as JRA55-do. The JRA55-do dataset aims to replace the CORE interannual forcing version 2 (hereafter called the CORE dataset), which is ...
2020年JRA55、ERA5大气驱动场和潮汐对黑潮热输送能力影响的数值模拟研究全文请用PC端下载 地址：http://www.hyyb.org.cn/Magazine/Show.aspx?ID=3548读书小笔记作者：尹路婷1 孙晓磊2 张宇3 于杰1 樊嘉璐4 单位：1. 长白山气象与气候变化吉林省重点实验室&中高纬度环流系统与东亚季风研究开放实验室,...
JRA-55ProductUsers'Handbook 1.25-degreelatitude/longitudegriddata 3 Contents 1.Introduction...6 2.Fileformat...6
本文利用JRA55再分析资料使用气旋相空间诊断方法对0421号“海马.doc,热带气旋海马的变性结构特征研究 秦颖,谭言科,黄泓,王学忠 (解放军理工大学气象海洋学院 南京 211101) 1 引言 世界范围内,热带气旋 tropical cyclone, TC 对于人们生命和财产都产生严重的威胁,TC北
The effects of satellite observations on large-scale atmospheric circulations in the reanalysis data are investigated by comparing the latest Japanese Meteorological Association's reanalysis data (JRA-55) and its family data, JRA-55 Conventional (JRA-55C). The latter is identical to the former excep...
This study compares CL51 ceilometer observations made at Scott Base, Antarctica, with statistics from the ERA5, JRA55, and MERRA2 reanalyses. To enhance the comparison we use a lidar instrument simulator to derive cloud statistics from the reanalyses which account for instrumental factors. The clou...