Assessment of TRMM data for precipitation measurement in Bangladesh

被引:25
作者
Tarek, Mehedi Hasan [1 ]
Hassan, Adil [1 ]
Bhattacharjee, Joy [1 ]
Choudhury, Sayedul Hasan [1 ]
Badruzzaman, Abu Borhan Md [2 ]
机构
[1] Streams Tech Inc, 4031 Univ Dr,Suite 100, Fairfax, VA 22030 USA
[2] Bangladesh Univ Engn & Technol, Dept Civil Engn, Dhaka, Bangladesh
关键词
TRMM; rainfall; Bangladesh; spatial distribution; temporal distribution; MEASURING MISSION TRMM; RAINFALL;
D O I
10.1002/met.1633
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Application of the Tropical Rainfall Measuring Mission (TRMM) can be an efficient method for precipitation measurement in Bangladesh. The TRMM was a joint US-Japan space programme used to measure tropical rainfall with spatial and temporal distribution. This study analyses the reliability of TRMM data by comparing them with the rain gauge data of Bangladesh Meteorological Department at 35 different locations. The comparison is made for the data from 1998 to 2010. Extensive analyses were performed on the basis of different temporal scales (daily, monthly, seasonal and yearly). Both datasets were compared for average, peak and total values. The correlation co-efficient and bias of TRMM rainfall data with respect to rain gauge values were also determined. However, the rainfall products are also compared at the two most extreme elevation stations to observe the influence of station topography (if any). Results show that TRMM rainfall data closely match with rain gauge data for average values on an annual basis, and the correlation co-efficient is found to be greater than 0.90. However, significant deviation is found for daily peak rainfall values. Again, a seasonal comparison shows that the TRMM data outputs match with station data except during the dry season. The rainfall data at the highest and lowest elevations show that the TRMM data follow a similar trend to the station data but they underestimate the value to some extent, especially during the wet season. Finally, it is inferred that the TRMM data are reliable in estimating the average rainfall in Bangladesh for hydrological analyses of watersheds.
引用
收藏
页码:349 / 359
页数:11
相关论文
共 50 条
  • [21] Validation of a TRMM-based global Flood Detection System in Bangladesh
    Moffitt, Caitlin Balthrop
    Hossain, Faisal
    Adler, Robert F.
    Yilmaz, Koray K.
    Pierce, Harold F.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (02): : 165 - 177
  • [22] Are precipitation concentration and intensity changing in Bangladesh overtimes? Analysis of the possible causes of changes in precipitation systems
    Rahman, Md. Siddiqur
    Islam, Abu Reza Md. Towfiqul
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 690 : 370 - 387
  • [23] A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China
    Jia, Shaofeng
    Zhu, Wenbin
    Lu, Aifeng
    Yan, Tingting
    REMOTE SENSING OF ENVIRONMENT, 2011, 115 (12) : 3069 - 3079
  • [24] Performance of TRMM Product in Quantifying Frequency and Intensity of Precipitation during Daytime and Nighttime across China
    Li, Yun
    Guo, Bin
    Wang, Kaicun
    Wu, Guocan
    Shi, Chunming
    REMOTE SENSING, 2020, 12 (04)
  • [25] Calibration and Application of TRMM Precipitation Data Irrawaddy River Basin
    Qu, W.
    Lu, J. X.
    Zhang, T. T.
    Tan, Y. N.
    Song, W. L.
    Pang, Z. G.
    REMOTE SENSING OF THE ENVIRONMENT, 2015, 9669
  • [26] Clustering of Precipitation Pattern in Indonesia Using TRMM Satellite Data
    Kuswanto, Heri
    Setiawan, Dedi
    Sopaheluwakan, Ardhasena
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (04) : 4484 - 4489
  • [27] Diurnal Variation of Seasonal Precipitation over the CONUS: A Comparison of Gauge Observations with TRMM Data
    Zhu, Liming
    Zhao, Yu
    Rui, Xiaoping
    Wei, Qingwei
    ADVANCES IN METEOROLOGY, 2020, 2020
  • [28] Comparison of multiple linear regression and artificial neural network models for downscaling TRMM precipitation products using MODIS data
    Alexakis, D. D.
    Tsanis, I. K.
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (14)
  • [29] 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
  • [30] Physically based statistical integration of TRMM microwave measurements for precipitation profiling
    Di Michele, S
    Marzano, FS
    Mugnai, A
    Tassa, A
    Baptista, JPVP
    RADIO SCIENCE, 2003, 38 (04)