An assessment of rainfall measurement based on TRMM products

被引：0
|
作者：
Gao, Jie [1 ]
机构：
[1] HYDROCHINA Corp, Beijing 100120, Peoples R China
来源：
ENVIRONMENTAL ENGINEERING, PTS 1-4 | 2014年 / 864-867卷
关键词：
TRMM products; precipitation;
D O I：
10.4028/www.scientific.net/AMR.864-867.2193
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Contrasts between TRMM 3B43 monthly data and rainfall observations of 720 stations in China are conducted based on a linear regression model. During January 1999 and December 2007, there is a significant correlation between TRMM data and the observed ones with an average r(2) 0.834. TRMM data performs better in the South and North, especially for flat regions. Limited by radar signal degradation due to heavy rain and low resolution of monitoring, TRMM data have better results in low-flow season than that in flood season. TRMM data cover all the places in middle and low latitudes. It is useful for long-term water resources planning, drought analysis in ungauged basins (PUB), and will be helpful for flood warning. Spatiotemporal data with higher resolution will greatly promote the development of hydrology in the future.
引用
收藏
页码：2193 / 2199
页数：7
相关论文
共 50 条
  • [31] Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM-TRMM): A case study in Hulu Terengganu catchment, Malaysia
    Zanial, Wan Norsyuhada Che Wan
    Malek, Marlinda Abdul
    Reba, Mohd Nadzri Md
    Zaini, Nuratiah
    Ahmed, Ali Najah
    Sherif, Mohsen
    Elshafie, Ahmed
    HELIYON, 2023, 9 (05)
  • [32] Evaluation of Tropical Rainfall Measuring Mission (TRMM) satellite precipitation products for drought monitoring over the middle and lower reaches of the Yangtze River Basin, China
    Chen, Shaodan
    Zhang, Liping
    Zhang, Yanjun
    Guo, Mengyao
    Liu, Xin
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2020, 30 (01) : 53 - 67
  • [33] Evaluation of TRMM/GPM Blended Daily Products over Brazil
    Rozante, Jose Roberto
    Vila, Daniel A.
    Chiquetto, Julio Barboza
    Fernandes, Alex de A.
    Alvim, Debora Souza
    REMOTE SENSING, 2018, 10 (06)
  • [34] Assessment and Comparison of Satellite-Based Rainfall Products: Validation by Hydrological Modeling Using ANN in a Semi-Arid Zone
    Rachidi, Said
    El Mazoudi, E. L. Houssine
    El Alami, Jamila
    Jadoud, Mourad
    Er-Raki, Salah
    WATER, 2023, 15 (11)
  • [35] Determination of erosion rainfall criteria based on natural rainfall measurement and its impact on spatial distribution of rainfall erosivity in the Czech Republic
    Brychta, Jiri
    Janecek, Miloslav
    SOIL AND WATER RESEARCH, 2019, 14 (03) : 153 - 162
  • [36] VALIDATION OF RAINFALL DATA ESTIMATED BY TRMM FOR THE STATE OF PARANA, AND ITS CONTRIBUTION TO AGROMETEOROLOGICAL MONITORING
    Silva-Fuzzo, Daniela Fernanda
    Rocha, Jansle Vieira
    REVISTA FORMACAO ONLINE, 2016, 3 (23): : 301 - 316
  • [37] Diurnal cycle of rainfall over Lake Victoria Basin during the long-rain season based on TRMM satellite estimate
    Onyango, Augustine O.
    Xu, Haiming
    Lin, Zhaohui
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (10) : 4622 - 4637
  • [38] Estimation of Rainfall Associated with Typhoons over the Ocean Using TRMM/TMI and Numerical Models
    Yeh, Nan-Ching
    Liu, Chung-Chih
    Chen, Wann-Jin
    WATER, 2015, 7 (11): : 6017 - 6038
  • [39] Finescale diurnal rainfall statistics refined from eight years of TRMM PR data
    Hirose, Masafumi
    Oki, Riko
    Shimizu, Shur
    Kachi, Misako
    Higashiuwatoko, Tomohiko
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2008, 47 (02) : 544 - 561
  • [40] Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables
    Zhang, Yueyuan
    Li, Yungang
    Ji, Xuan
    Luo, Xian
    Li, Xue
    REMOTE SENSING, 2018, 10 (01)
12345