Assessment of Effective Seasonal Downscaling of TRMM Precipitation Data in Peninsular Malaysia

被引:26
|
作者
Mahmud, Mohd Rizaludin [1 ]
Numata, Shinya [1 ]
Matsuyama, Hiroshi [1 ]
Hosaka, Tetsuro [1 ]
Hashim, Mazlan [2 ]
机构
[1] Tokyo Metropolitan Univ, Grad Sch Urban Environm Sci, Hachioji, Tokyo 1920397, Japan
[2] Univ Teknol Malaysia, Inst Geospatial Technol, Skudai 81310, Johor Bharu, Malaysia
关键词
RAINFALL; SATELLITE; VALIDATION; PRODUCTS; INTENSITY; REGIONS; AFRICA; BASIN;
D O I
10.3390/rs70404092
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Precise spatio-temporal measurements of rainfall during seasonal monsoons are critical for accurate hydrologic analyses in the tropical regions of Southeast Asia. The use of satellite precipitation data is technologically sound but requires downscaling to minimize inherent uncertainties. The uncertainties at a local climate regime that are essential to be resolved are rarely reported; consequently, such work needs attention. To address this problem, we validated the Tropical Rainfall Measuring Mission (TRMM) precipitation data using high-resolution areal precipitation (0.125 deg.) at a seasonal scale. This study examined the performance of the monthly rainfall data product (TRMM 3B43) at the seasonal monsoon scale in the local climate region of Peninsular Malaysia. The high-resolution areal precipitation data (0.125 deg.) were derived from a dense rain gauge network ever collected in Peninsular Malaysia (n = 984). Three relevant performance elements were evaluated: (i) the ability to depict temporal rainfall variation (ii) the quantitative error between TRMM and ground rainfall; and (iii) the ability to estimate the actual rainfall amount. We found that the ability of monthly TRMM data to depict rainfall variation and its tendency to propagate large errors varied seasonally. The correlation between TRMM and ground rainfall was good during the wettest period in all local climate regions. The error was related to the northeast monsoon and inter-monsoon 2 (September-October). Meanwhile, the TRMM ratio varied regionally, rather than seasonally. Determining the local-scale uncertainties will facilitate future downscale activities using TRMM satellite data in this region.
引用
收藏
页码:4092 / 4111
页数:20
相关论文
共 50 条
  • [11] Diurnal variations in seasonal precipitation in Iran from TRMM measurements
    Kiany, Mohammad Sadegh Keikhosravi
    Balling, Robert C., Jr.
    Cerveny, Randall S.
    Krahenbuhl, Daniel S.
    ADVANCES IN SPACE RESEARCH, 2018, 62 (09) : 2418 - 2430
  • [12] Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula
    Immerzeel, W. W.
    Rutten, M. M.
    Droogers, P.
    REMOTE SENSING OF ENVIRONMENT, 2009, 113 (02) : 362 - 370
  • [13] An Improved Spatial Downscaling Procedure for TRMM 3B43 Precipitation Product Using Geographically Weighted Regression
    Chen, Cheng
    Zhao, Shuhe
    Duan, Zheng
    Qin, Zhihao
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (09) : 4592 - 4604
  • [14] Spatial Downscaling of TRMM Precipitation Using an Optimal Regression Model with NDVI in Inner Mongolia, China
    Xie, Shengjin
    Liu, Yonghe
    Yao, Fengxin
    WATER RESOURCES, 2020, 47 (06) : 1054 - 1064
  • [15] Spatial Downscaling of Satellite Precipitation Data in Humid Tropics Using a Site-Specific Seasonal Coefficient
    Mahmud, Mohd Rizaludin
    Hashim, Mazlan
    Matsuyama, Hiroshi
    Numata, Shinya
    Hosaka, Tetsuro
    WATER, 2018, 10 (04)
  • [16] Downscaling CHIRPS precipitation data: an artificial neural network modelling approach
    Retalis, Adrianos
    Tymvios, Filippos
    Katsanos, Dimitrios
    Michaelides, Silas
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (13) : 3943 - 3959
  • [17] Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China
    Liu, Jinping
    Zhang, Wanchang
    Nie, Ning
    ADVANCES IN METEOROLOGY, 2018, 2018
  • [18] Spatial and temporal characteristics of rain intensity in the peninsular Malaysia using TRMM rain rate
    Varikoden, Hamza
    Samah, A. A.
    Babu, C. A.
    JOURNAL OF HYDROLOGY, 2010, 387 (3-4) : 312 - 319
  • [19] Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing
    Elnashar, Abdelrazek
    Zeng, Hongwei
    Wu, Bingfang
    Zhang, Ning
    Tian, Fuyou
    Zhang, Miao
    Zhu, Weiwei
    Yan, Nana
    Chen, Zegiang
    Sun, Zhiyu
    Wu, Xinghua
    Li, Yuan
    REMOTE SENSING, 2020, 12 (23) : 1 - 22
  • [20] 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)