Understanding the dynamics of 2024 extreme heat event in India: Spatial variability, hydrometeorological impacts, and model evaluation

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 108154 - 108154

Published: April 1, 2025

Language: Английский

Ensemble‐based monthly to seasonal precipitation forecasting for Iran using a regional weather model

International Journal of Climatology, Journal Year: 2024, Volume and Issue: 44(12), P. 4366 - 4387

Published: Aug. 19, 2024

Abstract Monthly and seasonal precipitation forecasts can potentially assist disaster risk reduction water resource management. The aim of this study is to assess the skill an ensemble framework for monthly over Iran by focusing on system design model performance evaluation. presented in paper based a one‐way double‐nested that uses Weather Research Forecasting (WRF) modelling downscale second version NCEP Climate Forecast System (CFSv2). evaluated October–April period at 1‐, 2‐ 3‐month lead time. Multiple initial conditions, parameters physics are used construct members. Using quantile mapping (QM) method, outputs bias corrected. This methodology applied two periods: (i) climatology from 2000 2019 evaluate model's ability forecast time scale; (ii) 2020 operationally. evaluation performed using continuous (e.g., RMSE, r, MBE, NSE) categorical POD, FAR, PC, Heidke score) assessment metrics. We conclude were improved QM correction method. According results, proposed accurately predict amount with accuracy 58 45% lead‐1 3. For all three times, averaged NSE, CC, RMSE 0.4, 0.56, −15.5, 41.6, indicating has reasonable performance. Our results suggest varies time, so higher than lead‐2 lead‐3. Additionally, differs various regions country decreases spring. approach operational case, it was found spatial features predicted close those observed.

Language: Английский

CONTENT ANALYSIS OF INTERNATIONAL NEWS ABOUT THE HEAT WAVES IN INDIA

International Journal of Professional Business Review, Journal Year: 2024, Volume and Issue: 9(6), P. e04748 - e04748

Published: June 25, 2024

Objective: The objective of this study is to present how heat waves in India are discussed by the media, observe if they being related climate change. Theoretical Framework: theoretical framework for based on intersection media studies, science, and disaster management. Method: This employs content analysis examine particularly relation It was studied 100 news available on-line Google News. Results Discussion: results indicated that while change frequently mentioned context waves, depth these mentions vary significantly. Media reports tend focus immediate impacts such as health issues infrastructure disruptions. For instance, there were numerous heat-related deaths, hospitalizations, interruptions water electricity supplies. However, less emphasis long-term solutions comprehensive adaptation strategies. Research Implications: highlights importance coverage shaping public understanding policy responses extreme weather events. Originality/Value: contributes existing literature providing a detailed framed

Language: Английский