Developing spin-up time framework for WRF extreme precipitation simulations

Y Liu, L Zhuo, D Han - Journal of Hydrology, 2023 - Elsevier
Despite the wide application of the Weather Research and Forecasting (WRF) model in
extreme precipitation simulations, there is a lack of consensus and clear guidance on …

Knee Point‐Based Multiobjective Optimization for the Numerical Weather Prediction Model in the Greater Beijing Area

H Wang, H Mo, Z Di, R Liu, Y Lang… - Geophysical Research …, 2023 - Wiley Online Library
Determination of the optimal parameter values in numerical weather prediction (NWP)
models has a significant impact on predictions. Here, we propose a knee point‐based …

Improving the outputs of regional heavy rainfall forecasting models using an adaptive real-time approach

Z Alizadeh, J Yazdi, MS Najafi - Hydrological Sciences Journal, 2022 - Taylor & Francis
In this work, an adaptive real-time approach is presented to improve the rainfall forecasts of
the weather research and forecasting (WRF) model. Heavy rainfall events are considered to …

Heavy rainfall event in Nova Friburgo (Brazil): numerical sensitivity analysis using different parameterization combinations in the WRF model

C Veiga, MGAJ da Silva, FP da Silva - Natural Hazards, 2024 - Springer
Forecasting rainfall is essential for warning of issues and mitigating natural disasters. For
this purpose, employing numerical weather models, even with their uncertainties, can …

Surrogate model-based precipitation tuning for CAM5

X Wu, L Hu, L Wang, H Lu… - Geoscientific Model …, 2023 - gmd.copernicus.org
The uncertainty of physical parameters is a major reason for a poor precipitation simulation
performance in Earth system models (ESMs), especially over the tropical and Pacific …

Natural Hazard in Nova Friburgo (Brazil): Numerical sensitivity analysis using different parameterization combinations in the WRF model

CVF de Souza, MGAJ da Silva, FP da Silva - 2023 - researchsquare.com
Forecasting rainfall is essential for warning issues and mitigating natural disasters. For this
purpose, the employment of numerical weather models, even with their uncertainties, can …

[PDF][PDF] 태풍사전방재모델의예측정확도향상을위한연구Part II: GDAPS, RDAPS, GFS 자료별WRF 민감도분석

나하나, 정우식 - 한국대기환경학회지(국문), 2020 - jekosae.or.kr
Abstract Typhoon Disaster Prevention Model was developed and operated to reduce
damage caused by typhoons that hit the Korean Peninsula. In this study, the sensitivity …