Prediction of extreme rainfall associated with monsoon depressions over Odisha: an assessment of coastal zone vulnerability at district level

Swain, Madhusmita; Pattanayak, Sujata; Mohanty, U. C.; Sahu, Sayantan

doi:10.1007/s11069-019-03633-0

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…While developing the data sets, directional effects have been taken care of but not the orographic corrections and the data sets do not include satellite measurements. These data sets are proven as the most reliable data sets over India and are being widely used for different applications such as validation of satellite products 53–55 , monsoon studies 56–58 and extreme rainfall events 59–61 . For climatology of rainfall, same IMD rainfall product is used for the period 1961 to 1990.…”

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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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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show abstract

“…A wide range of meteorological applications across scales from tens of meters to thousands of kilometers can be attained through the nesting domain architecture in the WRF model. The WRF model has been used for severe weather forecasting, e.g., extreme precipitation [28,29], hurricanes, tropical cyclones, typhoons [30,31], thunderstorms [32,33], and intense rainfall associated with monsoons [34,35]. The WRF model can concentrate high-resolution meshes on a regional domain, which is unattainable using global models [36].…”

Section: Atmospheric Model and Gridded Rainfall Datamentioning

confidence: 99%

An Operational High-Performance Forecasting System for City-Scale Pluvial Flash Floods in the Southwestern Plain Areas of Taiwan

Chang

Chen

et al. 2021

Water

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A pluvial flash flood is rapid flooding induced by intense rainfall associated with a severe weather system, such as thunderstorms or typhoons. Additionally, topography, ground cover, and soil conditions also account for the occurrence of pluvial flash floods. Pluvial flash floods are among the most devastating natural disasters that occur in Taiwan, and these floods always /occur within a few minutes or hours of excessive rainfall. Pluvial flash floods usually threaten large plain areas with high population densities; therefore, there is a great need to implement an operational high-performance forecasting system for pluvial flash flood mitigation and evacuation decisions. This study developed a high-performance two-dimensional hydrodynamic model based on the finite-element method and unstructured grids. The operational high-performance forecasting system is composed of the Weather Research and Forecasting (WRF) model, the Storm Water Management Model (SWMM), a two-dimensional hydrodynamic model, and a map-oriented visualization tool. The forecasting system employs digital elevation data with a 1-m resolution to simulate city-scale pluvial flash floods. The extent of flooding during historical inundation events derived from the forecasting system agrees well with the surveyed data for plain areas in southwestern Taiwan. The entire process of the operational high-performance forecasting system prediction of pluvial flash floods in the subsequent 24 h is accomplished within 8–10 min, and forecasts are updated every six hours.

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“…Apart from this, severe storm-tide and surge impacts along the coastline Ranger et al (2011) during the monsoon months exacerbate flood risk in the coastal zones. The Jagatsinghpur region in Odisha is identified as a severe flood-prone region (Ghosh et al 2019, Swain et al 2019, Mohanty et al 2020 as it faces severe floods recurrently during monsoon. This region, in the shape of a trigon, is surrounded by Rivers Mahanadi and Devi on two sides and the Bay of Bengal on the other side.…”

Section: Case-studiesmentioning

confidence: 99%

Tide-rainfall flood quotient: an incisive measure of comprehending a region’s response to storm-tide and pluvial flooding

Mohanty

Sherly

Ghosh

et al. 2020

Environ. Res. Lett.

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It is undeniable that coastal regions worldwide are facing unprecedented damages from catastrophic floods attributable to storm-tide (tidal) and extreme rainfall (pluvial). For flood-risk assessment, although recognizing compound impact of these drivers is a conventional practice, the marginal/individual impacts cannot be overlooked. In this letter, we propose a new measure, Tide-Rainfall Flood Quotient (TRFQ), to quantify the driver-specific flood potential of a coastal region arising from storm-tide or rainfall. A set of inundation and hazard maps are derived through a series of numerical and hydrodynamic flood model simulations comprising of design rainfall and design storm-tide. These experiments are demonstrated on three different geographically diverse flood-affected coastal regions in India. The new measure throws light on existing knowledge gaps on the propensity of coastal flooding induced by the marginal/individual contribution of storm-tide and rainfall. It shall prove useful in rationalizing long-term flood management strategies customizable for storm-tide and pluvial dominated global coastal regions.

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Prediction of extreme rainfall associated with monsoon depressions over Odisha: an assessment of coastal zone vulnerability at district level

Cited by 4 publications

References 24 publications

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

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

An Operational High-Performance Forecasting System for City-Scale Pluvial Flash Floods in the Southwestern Plain Areas of Taiwan

Tide-rainfall flood quotient: an incisive measure of comprehending a region’s response to storm-tide and pluvial flooding

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