A new version of Global Satellite Mapping of Precipitation (GSMaP) product released in December 2021

卫星 地球静止轨道 规范化(社会学) 气象学 环境科学 辐射计 微波辐射计 遥感 算法 计算机科学 物理 地理 工程类 航空航天工程 人类学 社会学
作者
Takuji Kubota,Kazumasa Aonashi,Tomoo Ushio,Shoichi Shige,Moeka Yamaji,Munehisa K. Yamamoto,Hitoshi Hirose,Yukari N. Takayabu
标识
DOI:10.5194/egusphere-egu22-3328
摘要

<p>The Global Satellite Mapping for Precipitation (GSMaP) produces high-resolution and high-frequent global rainfall map based on multi-satellite passive microwave radiometer observations with information from the Geostationary InfraRed (IR) instruments (Kubota et al. 2020). Output product of GSMaP algorithm is 0.1-degree grid for horizontal resolution and 1-hour for temporal resolution. The GSMaP near-real-time version product (GSMaP_NRT) has been in operation at JAXA since November 2007 in near-real-time basis, and browse images and binary data available at JAXA GSMaP web site (http://sharaku.eorc.jaxa.jp/GSMaP/).</p><p>A new version of the GSMaP product was released in December 2021. We plan the reprocessing of the GSMaP standard version in a period during the past 24 years since Jan. 1998. The GSMaP algorithms consist of passive microwave (PMW) algorithms, a normalization module for PMW retrievals, a PMW-IR Combined algorithm, and a Gauge-adjustment algorithm. Features in the new version are summarized as follows. In the PMW algorithm, retrievals extended to the pole-to-pole. Databases used in the algorithm were updated. A method using frozen precipitation depths was newly installed (Aonashi et al. 2021). Heavy orographic rainfall retrievals were improved upon a basic idea of Shige and Kummerow (2016). The normalization module for PMW retrievals (Yamamoto and Kubota 2020) were newly implemented to make more homogeneous PMW retrievals, in particular, for microwave sounders. A basic idea of the PMW-IR combined algorithm is using morphing and Kalman filter (Ushio et al. 2009). In addition, a histogram matching method by Hirose et al. (2022) was implemented in the new version to reduce the IR retrievals with reference to the PMW retrievals. In the gauge-adjustment algorithm, a precipitation estimate is adjusted using the NOAA CPC Global Unified Gauge-Based Analysis of Daily Precipitation (Mega et al. 2019). Artificial patterns appeared in past versions were mitigated in the new version. Preliminary validation results using the gauge-adjustment ground radar data over the Japan land areas confirmed better results in the new version of the satellite only products.</p><p>Furthermore, the GSMaP real-time version (GSMaP_NOW) with the new algorithm was also released in December 2021.The GSMaP algorithm for the new version was also applied to the GSMaP_NOW system after 6th December 2021. Accuracy improvements were confirmed also in the GSMaP_NOW products by validations with the gauge-adjustment ground radar data over Japan.</p>

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
husky完成签到 ,获得积分10
4秒前
科研通AI6.1应助斑ban采纳,获得10
5秒前
沉静完成签到 ,获得积分10
7秒前
Julia完成签到 ,获得积分10
8秒前
含蓄冰蓝完成签到,获得积分10
8秒前
9秒前
9秒前
11秒前
圆彰七大完成签到 ,获得积分10
12秒前
含蓄冰蓝发布了新的文献求助10
13秒前
14秒前
yy完成签到,获得积分10
15秒前
快乐的小胖完成签到,获得积分10
17秒前
yy完成签到,获得积分10
19秒前
混合结构完成签到 ,获得积分10
21秒前
斑ban发布了新的文献求助10
21秒前
深情安青应助yy采纳,获得10
22秒前
24秒前
kid发布了新的文献求助10
29秒前
lizishu举报典雅的灵煌求助涉嫌违规
32秒前
temaxs完成签到 ,获得积分10
35秒前
华仔应助大胆夏兰采纳,获得10
36秒前
完美世界应助kid采纳,获得10
37秒前
凶狠的姚完成签到 ,获得积分10
37秒前
42秒前
46秒前
潇洒斑马完成签到 ,获得积分10
47秒前
rui完成签到 ,获得积分10
59秒前
59秒前
科研通AI2S应助美琦采纳,获得10
1分钟前
光亮的睿渊完成签到 ,获得积分10
1分钟前
Forever完成签到 ,获得积分10
1分钟前
SSY完成签到 ,获得积分10
1分钟前
Dr.c发布了新的文献求助10
1分钟前
xiaosi完成签到 ,获得积分10
1分钟前
叮叮当当发布了新的文献求助200
1分钟前
科研通AI6.1应助Chengcheng采纳,获得10
1分钟前
TKTK发布了新的文献求助30
1分钟前
花泽秀完成签到,获得积分10
1分钟前
高分求助中
Operational Bulk Evaporation Duct Model for MORIAH Version 1.2 1200
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Industrial Organic Chemistry, 5th Edition 400
Multiple Regression and Beyond An Introduction to Multiple Regression and Structural Equation Modeling 4th Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5847567
求助须知:如何正确求助?哪些是违规求助? 6227695
关于积分的说明 15620595
捐赠科研通 4964265
什么是DOI,文献DOI怎么找? 2676537
邀请新用户注册赠送积分活动 1621054
关于科研通互助平台的介绍 1576998