How Accurately Satellite Precipitation Products Capture the Tropical Cyclone Rainfall?

Reddy, M. Venkatarami; Mitra, Ashis K.; Momin, Imranali M.; Krishna, U. V. Murali

doi:10.1007/s12524-022-01572-1

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…Several studies have conducted in China (C. Huang et al., 2019; D. Li et al., 2022; D. Wang et al., 2016; Yu et al., 2009), Taiwan (S. Chen et al., 2013; W.‐R. Huang et al., 2021), India (Reddy et al., 2022), Vietnam (Pham & Vu, 2020), and Western North Pacific (Sutton et al., 2022) to assess the ability of SPDS during heavy precipitation events caused by typhoons. Therefore, this study evaluated the performance of near‐real‐time three SPDs (IMERG, GSMaP, and PERSIANN), during five typhoons related heavy precipitation events in the Philippines between 2016 and 2018.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Satellite Precipitation Data Sets for High Variability and Rapid Evolution of Typhoon Precipitation Events in the Philippines

Aryastana

Liu

Jou

et al. 2022

Earth and Space Science

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Extreme weather events, such as typhoons, have occurred more frequently in the last few decades in the Philippines. The heavy precipitation caused by typhoons is difficult to measure with traditional instruments, such as rain gauges and ground‐based radar because these instruments have an uneven distribution in remote areas. Satellite precipitation data sets (SPDs) provide integrated spatial coverage of rainfall measurements, even for remote areas. However, the speed and direction of the wind has the interaction with terrain, which leads the uncertainty of the SPDs. This study performed sub‐daily assessments of near‐real‐time and high resolution SPDs (i.e., IMERG, GSMaP, and PERSIANN data sets) during five typhoon‐related heavy precipitation events in the Philippines, with the analysis under the impact due to wind and terrain effect. The aforementioned assessments were performed through a point‐to‐grid comparison by using continuous and volumetric statistical validation indices for the 34‐knot wind radii of the typhoons, rainfall intensity, terrain, and wind velocity effects. The results revealed that the IMERG exhibited good agreement with rain gauge measurements and exhibited high performance in detecting rainfall. The GSMaP data set overestimated the gauge observations during peak rainfall, while the IMERG and PERSIANN data sets considerably underestimated rainfall. The GSMaP exhibited the best performance for detecting heavy rainfall at high elevations, whereas IMERG exhibited the best performance for rainfall detection at low elevations. The IMERG exhibited a strong ability to detect heavy rainfall under various wind speeds.

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Section: Introductionmentioning

confidence: 99%

Assessment of Satellite Precipitation Data Sets for High Variability and Rapid Evolution of Typhoon Precipitation Events in the Philippines

Aryastana

Liu

Jou

et al. 2022

Earth and Space Science

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show abstract

“…The GSMaP dataset product has been applied for the hydrology model to develop flood inundation forecasting in Jakarta and acceptable agreement in simulating inundation in Jakarta [ 24 ]. The GSMaP dataset product can also capture the tropical cyclone precipitation, suggesting that the satellite can detect the synoptic disturbance inducing deep convective on a large scale despite under-estimated results comparing ground-based data [ 25 ].…”

Section: Methodsmentioning

confidence: 99%

Propagation of tropical squall line-induced storm coastal inundation episodes in Java-Bali, Indonesia

Yulihastin,

Fathrio,

Sulaiman

et al. 2023

Heliyon

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Spatiotemporal performance evaluation of high-resolution multiple satellite and reanalysis precipitation products over the semiarid region of India

Devadarshini,

Bhuvaneswari,

Mohan Kumar

et al. 2024

Environ Monit Assess

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How Accurately Satellite Precipitation Products Capture the Tropical Cyclone Rainfall?

Cited by 5 publications

References 43 publications

Assessment of Satellite Precipitation Data Sets for High Variability and Rapid Evolution of Typhoon Precipitation Events in the Philippines

Assessment of Satellite Precipitation Data Sets for High Variability and Rapid Evolution of Typhoon Precipitation Events in the Philippines

Propagation of tropical squall line-induced storm coastal inundation episodes in Java-Bali, Indonesia

Spatiotemporal performance evaluation of high-resolution multiple satellite and reanalysis precipitation products over the semiarid region of India

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