Using TRMM satellite precipitation over the data-sparse basins for hydrological application

Liu, Xing; Li, X; Cai, Shi Xiang; Ao, Tian; Fa, Liu

doi:10.1201/b19197-106

Cited by 2 publications

(2 citation statements)

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“…Mitra et al (2013) have merged the TRMM data with rainfall data of 14 monsoon seasons collected from ground using Indian Metrological Department (IMD) Gauge stations to generate gridded daily Indian monsoon rainfall. Researchers have successfully used TRMM products for soil moisture prediction, dry/wet conditioning monitoring, risk assessment, extreme rainfall characterization and hydrological modelling (Gupta et al 2014;Li, Zhang, and Ye 2013;Dinis et al 2013;Bernardi et al 2015;Liu et al 2015;He et al 2017;Robbins 2016;Cabrera, Yupanqui, and Rau 2016). The above-mentioned studies proved the potential of TRMM data usage for high rainfall event detection.…”

Section: Introductionmentioning

confidence: 95%

Satellite data planning for flood mapping activities based on high rainfall events generated using TRMM, GEFS and disaster news

et al. 2017

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Microwave satellite data enable the mapping of flooding over large areas, irrespective of cloud and weather conditions. Efficient planning of microwave data for acquiring satellite images over flood-affected areas for flood assessment and mapping needs prior information about the probable flood areas. Analysis of rainfall trend over a particular region over a time can help in predicting the flood-like situation and probable flood areas. Forecasts from weather forecasts models provide a fair idea about high rainfall events. Integration of global rainfall products (Tropical Rainfall Measuring Mission (TRMM)) and global forecast precipitation products (Global Ensemble Forecast System (GEFS)) can help in identifying the probable areas which may attain high rainfall. This advance information about probable high rainfall areas can be used in planning the remote sensing satellites for acquiring the satellite imagery over the area for flood mapping activities. Temporal satellite images integrated with disaster news available on Internet can help in analysing the ground situation (residing or increasing of flood situation). It can help in resource planning and management. The main purpose of this study is to develop a GIS-based framework coupled with automatic procedures for integrating TRMM, GEFS and disaster news using opensource technologies to identify the probable high rainfall area over Indian region and its application in planning acquisition of microwave satellite data sets for flood mapping activities. The high rainfall events identified using TRMM, GEFS and disaster news have been verified with Indian Metrological Department rainfall data during Chennai floods 2015 and Assam floods 2016. The system has been successfully used to plan and acquired satellite data for flood season 2015 and 2016.

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Section: Introductionmentioning

confidence: 95%

Satellite data planning for flood mapping activities based on high rainfall events generated using TRMM, GEFS and disaster news

et al. 2017

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“…The TRMM satellite, launched in 1997, has been indispensable in advancing and improving precipitation estimation at high resolution, real-time, and on a quasi-global scale by utilizing TRMM data. The latest TMPA 3B42V7 has shown improved accuracy and gains many hydrological applications [10]. Parameters for analyzing water balance that are easy to access using satellite data are rainfall and evaporation.…”

Section: Introductionmentioning

confidence: 99%

Reservoir water budget estimation using satellite and ground measurement data

Wahyuni,

Berlian,

Widiarti

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Rising air temperatures, increased rainy runoff, reduced dry season runoff, and severe weather conditions have intensified floods and droughts, significantly affecting the reservoir water supply. The accuracy of reservoir water balance is crucial for meeting water needs. The study compares satellite data and ground measurements to analyze the water budget of Sutami Reservoir in Indonesia. Satellite data collected included precipitation (Tropical Rainfall Measuring Mission-TRMM) and evaporation (Global Land Data Assimilation System-GLDAS). The water balance approach was utilized to analyze the water budget. The suitability tests used were Root Mean Square Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (CC), and Relative Error (RE). The study revealed that the data from TRMM and GLDAS satellites closely resembled ground measurements. The reservoir water balance analysis revealed that satellite data aligns with ground measurements, indicating water shortages in the dry season and excess water in the rainy season. Satellite data is particularly beneficial for watershed management in areas lacking ground measurement equipment, as it can be analyzed for various purposes.

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Using TRMM satellite precipitation over the data-sparse basins for hydrological application

Cited by 2 publications

References 1 publication

Satellite data planning for flood mapping activities based on high rainfall events generated using TRMM, GEFS and disaster news

Satellite data planning for flood mapping activities based on high rainfall events generated using TRMM, GEFS and disaster news

Reservoir water budget estimation using satellite and ground measurement data

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