On the rainfall asymmetry and distribution in tropical cyclones over Bay of Bengal using TMPA and GPM rainfall products

Thakur, Manoj Kumar; Kumar, T. V. Lakshmi; Dwivedi, Sanjeev; Narayanan, M. S.

doi:10.1007/s11069-018-3426-5

Cited by 17 publications

(12 citation statements)

References 37 publications

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“…(2016), Thakur et al . (2018), highlighted the quality and advantages of using this dataset for climate and monsoon research. In this work, we used the daily product of TRMM 3B42‐V7 rainfall available over the period (1998–2016).…”

Section: Methodsmentioning

confidence: 99%

“…This rainfall product is available at a horizontal resolution of 0.25 × 0.25 from 1998 onwards at two temporal resolutions: 3 hourly and daily. Several studies, for example, Ebert et al (2007), Prakash et al (2016), Thakur et al (2018), highlighted the quality and advantages of using this dataset for climate and monsoon research. In this work, we used the daily product of TRMM 3B42-V7 rainfall available over the period (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016).…”

Section: Trmm 3b42-v7 Rainfall Productmentioning

confidence: 99%

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Variability of monsoon inversion over the Arabian Sea and its impact on rainfall

Dwivedi

Viswanadhapalli

Ratnam

et al. 2020

Intl Journal of Climatology

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This work investigates the spatial and temporal variability of the monsoon inversion (MI) over the Arabian Sea for the study of 37-years period (1980-2016) using MERRA version2 (MERRA2) reanalysis and downscaled simulations generated with the Weather and Research Forecasting (WRF) model. After validating the downscaled products with the observations from four radiosonde stations (Salalah, Mumbai, Goa and Mangalore), we analysed

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Section: Methodsmentioning

confidence: 99%

Section: Trmm 3b42-v7 Rainfall Productmentioning

confidence: 99%

Variability of monsoon inversion over the Arabian Sea and its impact on rainfall

Dwivedi

Viswanadhapalli

Ratnam

et al. 2020

Intl Journal of Climatology

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“…Today, given the availability of the above mentioned three precipitation data sources, the scientific community has exerted efforts on various precipitation product evaluations and intercomparisons, with particular foci over complex terrains and extreme events including the 2017 Hurricane Harvey event on the Mexico Gulf Coast [9,11,[46][47][48]. Omaranian et al [49] compared the GPM IMERG final run precipitation estimates with NCEP Stage IV radar QPE and indicated that GPM IMERG could capture the pattern and trace the storm, but significantly overestimated the precipitation amount.…”

Section: Introductionmentioning

confidence: 99%

Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework

et al. 2020

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A new generation of precipitation measurement products has emerged, and their performances have gained much attention from the scientific community, such as the Multi-Radar Multi-Sensor system (MRMS) from the National Severe Storm Laboratory (NSSL) and the Global Precipitation Measurement Mission (GPM) from the National Aeronautics and Space Administration (NASA). This study statistically evaluated the MRMS and GPM products and investigated their cascading hydrological response in August of 2017, when Hurricane Harvey brought historical and record-breaking precipitation to the Gulf Coast (>1500 mm), causing 107 fatalities along with about USD 125 billion worth of damage. Rain-gauge observations from Harris County Flood Control District (HCFCD) and stream-gauge measurements by the United States Geological Survey (USGS) were used as ground truths to evaluate MRMS, GPM and National Centers for Environmental Prediction (NCEP) gauge-only data by using statistical metrics and hydrological simulations using the Ensemble Framework for Flash Flooding Forecast (EF5) model. The results indicate that remote sensing technologies can accurately detect and estimate the unprecedented precipitation event with their near-real-time products, and all precipitation products produced good hydrological simulations, where the Nash-Sutcliff model efficiency coefficients (NSCE) were close to 0.9 for both the MRMS and GPM products. With the timeliness and seamless coverage of MRMS and GPM, the study also demonstrated the capability and efficiency of the EF5 framework for flash flood modeling over the United States and potentially additional international domains.Remote Sens. 2020, 12, 445 2 of 20 infrastructure, which leads to the intensification of the meteorological extremes [6,7] and increased surface runoff peaks [5]. Globally, the Gulf Coast of North America is one of many places that is heavily affected by tropical storms and their cascading floods in an urbanized area [8]. On August 25th, 2017, Hurricane Harvey made its first landfall at the northern end of San Jose Island, TX. Since then, Harvey stalled over the greater Houston area and produced over 1500 mm of rain in 4 days, which set the US record of total precipitation since the 1880s, when the reliable rainfall records started [9]. During this event, southeast Texas received 20 to 30 trillion tons of water with a return period exceeding 9000 years at some locations [10], interconnected the Colorado River and San Bernard River overland, and caused unprecedented flooding. Hurricane Harvey was estimated to cause about USD 125 billion worth of damage and 107 fatalities, and 127 flash flood warnings were issued during the event [11]. As much as technology has advanced, society is still searching for tools to improve prediction and mitigate the damage from floods.Over the past few decades, the scientific community has made great improvements in the capacity of flood modeling by combining climate models, weather models, hydrological models, river models, and hydrodynamic models [12]....

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“…The details of the data sets used can be found from Thakur et al . 50 . India Meteorological Department (IMD), Govt.…”

Section: Methodsmentioning

confidence: 99%

A new perspective in understanding rainfall from satellites over a complex topographic region of India

Thakur

Kumar

Rao

et al. 2019

Sci Rep

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Present study focuses on rainfall over Western Ghats (WG), a complex topographic region (elevation > 500 m) of India to evaluate and to better understand the satellite behavior in contrast with a flat region (FR) (elevation < 500 m) of central India from 1998 to 2016 using the combinatory data sets of TMPA and IMERG (satellite rainfall estimation). The categorical Intra Seasonal Oscillations (ISO) of Indian summer monsoon (ISM) namely, Madden Julian Oscillation (MJO) and Quasi Bi-Weekly Oscillation (QBWO) are tested in satellite and India Meteorological Department (IMD) gridded rainfall data sets to find out the satellite performance. As the accurate estimation of rainfall from satellites over higher elevation zones is challenging, here we propose a new perspective to select the rainfall products of satellite for better comparison with ground measurements. Considering the satellite’s best capability in detecting the cold clouds resulting from deep convection and its coupling with higher-level circulation, we show that the rainfall from satellites yield fruitful comparison with ground measurements when moist static stability, tropical easterly jet is above the climatological values.

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On the rainfall asymmetry and distribution in tropical cyclones over Bay of Bengal using TMPA and GPM rainfall products

Cited by 17 publications

References 37 publications

Variability of monsoon inversion over the Arabian Sea and its impact on rainfall

Variability of monsoon inversion over the Arabian Sea and its impact on rainfall

Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework

A new perspective in understanding rainfall from satellites over a complex topographic region of India

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