WRF-Based Sensitivity Analysis of Microphysics Schemes: Case study of Cyclone Gulab

This work presents extensive sensitivity analyses of microphysical parameterization schemes within the Advanced Research Weather Research and Forecasting (WRF-ARW core) model to enhance tropical cyclone predictions. A case study of Cyclone Gulab is chosen for September 24, 2021 which originated over the Bay of Bengal. For all simulations, initial and boundary conditions were derived from the National Centers for Environmental Prediction-Final (NCEP FNL) reanalysis data. The study employed four distinct microphysics schemes: WRF Single Moment 6 (WSM6), WRF Double Moment (WDM), Thompson, and Kessler. The results of these simulations were validated against ERA5 reanalysis data. Among the tested microphysics schemes, the Thompson scheme consistently provided the highest accuracy, with correlation values exceeding 0.6 across all variables and the lowest root mean square error (RMSE). In contrast, the Kessler scheme showed lower overall performance. The insights gained from this study are expected to contribute to improved tropical cyclone prediction and model accuracy, particularly in the context of microphysics parameterization schemes.

Authors

Institutions

Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10984305
Primary Topic
Cyclone Separators and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WRF-Based Sensitivity Analysis of Microphysics Schemes: Case study of Cyclone Gulab

J. Indu, Ajay Sharma
Cyclone Separators and Fluid Dynamics
article

WRF-Based Sensitivity Analysis of Microphysics Schemes: Case study of Cyclone Gulab

J. Indu, Ajay Sharma
article en

Abstract

This work presents extensive sensitivity analyses of microphysical parameterization schemes within the Advanced Research Weather Research and Forecasting (WRF-ARW core) model to enhance tropical cyclone predictions. A case study of Cyclone Gulab is chosen for September 24, 2021 which originated over the Bay of Bengal. For all simulations, initial and boundary conditions were derived from the National Centers for Environmental Prediction-Final (NCEP FNL) reanalysis data. The study employed four distinct microphysics schemes: WRF Single Moment 6 (WSM6), WRF Double Moment (WDM), Thompson, and Kessler. The results of these simulations were validated against ERA5 reanalysis data. Among the tested microphysics schemes, the Thompson scheme consistently provided the highest accuracy, with correlation values exceeding 0.6 across all variables and the lowest root mean square error (RMSE). In contrast, the Kessler scheme showed lower overall performance. The insights gained from this study are expected to contribute to improved tropical cyclone prediction and model accuracy, particularly in the context of microphysics parameterization schemes.

Indian Institute of Technology Bombay (IN)
Climate action
Openalex Percentile: Top 70%
Cyclone Separators and Fluid Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

WRF-Based Sensitivity Analysis of Microphysics Schemes: Case study of Cyclone Gulab — J. Indu, Ajay Sharma · (2024) | TGRS Research Map | TGRS