Evaluating the Spatial Distribution of WRF-Simulated Rainfall, 2-m Air Temperature, and 2-m Relative Humidity over the Urban Region of Bangalore, India

Bhimala, Kantha Rao; Gouda, K. C.; Himesh, S.

doi:10.1007/s00024-021-02676-4

Cited by 5 publications

(3 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ensemble of forecast scenarios is generated using a combination of convective and microphysics parameterization schemes that were used in the past studies over Bangalore city (Mohapatra et al, 2017;Bhimala et al, 2021;Rakesh et al, 2021;Sarkar and Himesh, 2021). The city having a complex terrain, may benefit from the high-resolution simulations as demonstrated by earlier studies.…”

Section: Experiments Design Using the Wrf Modelmentioning

confidence: 99%

“…The Grell Freitas scheme is a recently added convective scheme to the WRF model and has shown good performance over the Cauvery catchment region in Karnataka (Sarkar and Himesh, 2021). The three convective parameterization schemes chosen are based on the previous work done over Bangalore city by CSIR-4PI (Mohapatra et al, 2017;Bhimala et al, 2021;Rakesh et al, 2021;Sarkar and Himesh, 2021).…”

Section: Experiments Design Using the Wrf Modelmentioning

confidence: 99%

“…Bangalore city has faced an increase in severe flood events over the last decade due to an increase in rainfall intensities, an increase in developed areas, and the associated changes in the land surface properties (Mujumdar et al, 2021). Research groups in the CSIR-4PI [Council of Scientific and Industrial Research (CSIR) Fourth Paradigm Institute] have worked on the generation of high resolution rainfall forecasts from the WRF model over Bangalore city and at a ward scale over Karnataka (Rakesh et al, 2015;Rakesh et al, 2021;Mohapatra et al, 2017;Sahoo et al, 2020b;Bhimala et al, 2021). An ensemble of WRF Forecasts is developed for the Bangalore city in this paper and is used in the hydrologic model to create flood forecasts at storm water drains.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Flood Forecasting Framework Coupling a High Resolution WRF Ensemble With an Urban Hydrologic Model

et al. 2022

View full text Add to dashboard Cite

Numerical weather prediction (NWP) models such as the Weather Research and Forecasting (WRF) model are increasingly used over the Indian region to forecast extreme rainfall events. However, studies which explore the application of high-resolution rainfall simulations obtained from the WRF model in urban hydrology are limited. In this paper, the utility of a model coupling framework to predict urban floods is explored through the case study of Bangalore city in India. This framework is used to simulate multiple extreme events that occurred over the city for the monsoons of years 2020 and 2021. To address the uncertainty from the WRF model, a 12-member convection permitting ensemble is used. Model configurations using Kain Fritsch and WSM6 parameterization schemes could simulate the spatial and temporal pattern of the selected event. The city is easily flooded with rainfall events above a threshold of 60 mm/day and to capture the response of the urban catchment, the Personal Computer Storm Water Management Model (PCSWMM) is used in this study. Flood forecasts are created using the outputs from the WRF ensemble and the Global Forecasting System (GFS). The high temporal and spatial resolution of the rainfall forecasts (<4 km at 15-min intervals), has proved critical in reproducing the urban flood event. The flood forecasts created using the WRF ensemble indicate that flooding and water levels are comparable to the observed whereas the GFS underestimates these to a large extent. Thus, the coupled WRF–PCSWMM modelling framework is found effective in forecasting flood events over an Indian city.

show abstract

Section: Experiments Design Using the Wrf Modelmentioning

confidence: 99%