Evaluation of INSAT-3D satellite derived precipitation estimates for heavy rainfall events and its validation with gridded GPM (IMERG) rainfall dataset over the Indian region

Mitra, Ashim K.; Kaushik, Nitesh; Singh, Anil Kumar; Parihar, Sangeeta; Bhan, S. C.

doi:10.1016/j.rsase.2017.12.006

Cited by 19 publications

(7 citation statements)

References 21 publications

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“…Hence, the evaluation of satellite data sets is necessary over the Indian monsoon region for their use and applicability. For this purpose, many studies have focused on the evaluation of satellite rainfall performance with the ground gauge rainfall data sets developed over the Indian land mass with the TRMM (Nair et al, 2009;Uma et al, 2013;Prakash et al, 2015Prakash et al, , 2016a and the Indian satellite INSAT (Mitra et al, 2018;Singh et al, 2018). The Multi-Satellite Retrieval of Global Precipitation Mission (IMERG), being a very good precipitation data set in terms of depicting spatiotemporal variations because of its high spatial (0.1 × 0.1 ) and temporal (30 min) resolution, and its evaluation with India Meteorological Department (IMD)-gridded data sets of 0.25 × 0.25 resolution developed based on the dense network of rain gauges (7,000 rain gauges, (Pai et al, 2014)) provides the actual performance of satellites over the Indian land mass.…”

Section: Introductionmentioning

confidence: 99%

Analytical study of the performance of the IMERG over the Indian landmass

Thakur

Kumar

Narayanan

et al. 2020

Meteorological Applications

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The paper compares the final run of Integrated Multi-Satellite Retrieval of Global Precipitation Mission (IMERG) products with India Meteorological Department (IMD) gridded data over the Indian land mass during the southwest monsoon period (June-September) in the period 2014-2017. Spatiotemporal variations of the IMERG are evaluated with IMD rainfall by employing different statistical techniques, and the capability of the IMERG is examined using the categorical skill metrics. A region in central India is the focus in order to study the southwest monsoon's static and dynamic characteristics, such as rainfall distribution and monsoon activity, using the IMERG in conjunction with IMD rainfall data sets. The integrated condensation rate (ICR) was estimated using the specific humidity profiles, and it correlated with the IMERG and IMD rainfall. The IMERG is found to be a potential source for adequately reflecting the ground gauge-gridded data of categorical rainfall amounts, from very light rain (trace-2.4 mm) to very heavy rain (about 115.6-204.4 mm). However, the IMERG does not reflect satisfactorily the extreme heavy rain events (≥ 204.5 mmÁday -1 ) during the study period. The significant correlation between IMERG/IMD rainfall and the ICR suggests that improved adjustments methods are required for better results when depicting accurate extreme heavy rainfall events by the IMERG.

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Section: Introductionmentioning

confidence: 99%

Analytical study of the performance of the IMERG over the Indian landmass

Thakur

Kumar

Narayanan

et al. 2020

Meteorological Applications

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“…However, the performance of the GPM products needs to be critically evaluated in different regions of the world as sources of information for both end users and data producers (Prakash et al, 2018). Several recent studies evaluated different IMERG products in complex areas under distinct climatic and geographic aspects worldwide by using ground-based data and/or comparisons with other satellite products such as TMPA (Anjum et al, 2018;Asong et al, 2017;Beria et al, 2017;Dezfuli et al, 2017;Gebregiorgis et al, 2018;Lelis et al, 2018;Mahmoud et al, 2018;Mayor et al, 2017;Mitra et al, 2018;Muhammad et al, 2018;O and Kirstetter, 2018;Oliveira et al, 2018;Prakash et al, 2018Prakash et al, , 2016Satgé et al, 2017;Sungmin et al, 2017;Tan and Duan, 2017;Tan and Santo, 2018;Tang et al, 2016aTang et al, , 2016bWang et al, 2017;Zhang et al, 2018). Most of the aforementioned studies showed good agreement of the IMERG products with the gauge, radar, and TMPA data.…”

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confidence: 99%

Grid box-level evaluation of IMERG over Brazil at various space and time scales

Gadelha

Coelho

Xavier

et al. 2019

Atmospheric Research

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Rainfall data from the Global Precipitation Measurement (GPM) mission provide a new source of information with high spatiotemporal resolution that overcomes the limitations of ground-based rainfall information worldwide. This study evaluates the performance of the Integrated Multi-satellitE Retrievals for GPM (IMERG) Final Run product over Brazil by means of multi-temporal and -spatial analyses. The assessment of the IMERG Final Run product is based on six statistics obtained for the period between January-

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“…The present study also uses the INSAT‐3D hydro‐estimator method (HEM) for the precipitation products to verify the spatial and temporal variations of rainfall, intensity, and exact locations of the extreme rainfall in detail (description about HEM can be seen in P. Kumar & Varma's, 2017). For heavy rainfall events, the HEM highlights the essential skill and strong correlation ( r > 0.7) and exactly follows the pattern of actual rainfall at an accuracy of ±20 mm (Mitra et al, 2018). Three hourly rainfall accumulations are shown in Figure 2c–e.…”

Section: Description Of the Eventmentioning

confidence: 67%

“…For model validation, the gridded rainfall and daily rain gauge data were collected to locate the rainfall zone. The INSAT‐3D HEM products (0.1° × 0.1°; half hourly, Daily) were also considered for quantitative assessment of precipitation in a more realistic manner (Mitra et al, 2018). The INSAT‐3D temperature product at cloud top was also studied to understand the microphysical process within the clouds.…”

Section: Methodsmentioning

confidence: 99%

Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study

Rao

Paul

Skekhar

et al. 2021

Meteorological Applications

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Extreme rainfall events have posed several serious threats to many populated and urbanized areas in the world including the Indian subcontinent. Therefore, accurate predictions of their intensity and areas of influence are important for flood‐prone risk assessments. On 14 July 2016, heavy to exceptionally heavy rainfall occurred in Yamunanagar (30.16° N, 77.29° E), located in the state of Haryana in North India, which led to widespread disruption of communication, electricity, inundation of houses, and so forth. The present paper aims at examining observational, synoptic, thermo‐dynamical, and numerical features associated with this devastating rainfall episode. The analysis found that during extreme rainfall episodes, a trough in mid‐tropospheric westerlies and a strong low‐level atmospheric monsoonal flow seem to have strongly interacted with each other, creating a strong convergence zone near study areas that led to a severe rainstorm. The quasi‐stationary supercells were also noticed due to continuous moisture incursions from the Bay of Bengal and orographic uplift over the Himalayas near Yamunanagar. A deep layer of wind shear interacts dynamically with the convergence zone and leads to a potential rainstorm. Thermodynamic indices indicate high instability over the heavy rainfall area. The dynamics of this event were studied in detail by using three‐dimensional variational data assimilation within the weather research and forecasting model, configured with triple two‐way nesting domains (27, 9, and 3 km). The model results show that the weather research and forecasting model satisfactorily captures the quantitative precipitation (300 mm) in 24 h over the Yamunanagar region as compared with observation (365 mm).

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Evaluation of INSAT-3D satellite derived precipitation estimates for heavy rainfall events and its validation with gridded GPM (IMERG) rainfall dataset over the Indian region

Cited by 19 publications

References 21 publications

Analytical study of the performance of the IMERG over the Indian landmass

Analytical study of the performance of the IMERG over the Indian landmass

Grid box-level evaluation of IMERG over Brazil at various space and time scales

Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study

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