Meteorological Forecasting and Modeling in Climatology

A special issue of Climate (ISSN 2225-1154). This special issue belongs to the section "Climate Dynamics and Modelling".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 357

Special Issue Editor


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Guest Editor
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
Interests: climate variability; climate modeling; hydrology; meteorology; atmospheric sciences

Special Issue Information

Dear Colleagues,

The evolution of meteorological disasters (such as tropical cyclones, droughts, floods, heat waves, etc.) is driven by multiple factors, including short-term weather processes, climate variability (such as El Niño, Pacific Decadal Oscillation, etc.), and long-term climate change. Therefore, it is very important and necessary to understand the interaction of these different-scale processes and analyze the impact of climate change on the frequency and intensity changes in meteorological disaster events.

This Special Issue aims to collect cutting-edge methods, challenges, and applications in meteorological forecasting, climate modeling, and prediction, promoting the cross-integration of multi-scale research and providing scientific support for disaster prevention and mitigation, as well as climate policies. Potential topics include but are not limited to:

  • The impact of multiple climate indicators on the change in meteorological events;
  • Forecasting and numerical simulation of extreme meteorological events (rainstorms, drought, heat waves, cold waves, typhoons, etc.);
  • High-resolution numerical weather forecasting and climate prediction;
  • Aerosol-cloud-precipitation interaction;
  • Analysis of severe weather mechanisms such as convective system organization;
  • Cloud microphysics, boundary layer processes, and parameterization schemes;
  • Observation and simulation of atmospheric physical processes;
  • Simulation of complex systems in coupled model (ocean–atmosphere–land).

Dr. Xiaoyun Liang
Guest Editor

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Keywords

  • meteorological events
  • climate variability
  • extreme weather events
  • numerical weather
  • forecasts and modeling
  • atmospheric physics
  • complex coupling model

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Published Papers (1 paper)

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Research

30 pages, 68660 KB  
Article
Optimizing WRF Configurations for Improved Precipitation Forecasting in West Africa: Sensitivity to Cumulus and PBL Schemes in a Senegal Case Study
by Abdou Aziz Coly, Emmanuel Dazangwende Poan, Youssouph Sane, Habib Senghor, Semou Diouf, Ousmane Ndiaye, Abdoulaye Deme and Dame Gueye
Climate 2025, 13(9), 181; https://doi.org/10.3390/cli13090181 - 29 Aug 2025
Viewed by 225
Abstract
Despite significant progress, precipitation forecasting in West Africa remains challenging due to the complexity of atmospheric processes and the region’s climatic variability. This study aims to identify optimal configurations of the WRF model to improve precipitation forecasting. To evaluate the sensitivity of the [...] Read more.
Despite significant progress, precipitation forecasting in West Africa remains challenging due to the complexity of atmospheric processes and the region’s climatic variability. This study aims to identify optimal configurations of the WRF model to improve precipitation forecasting. To evaluate the sensitivity of the model’s physical parameterizations, 15 configurations were tested by combining various cumulus parameterization schemes (CPSs) and planetary boundary layer (PBL) schemes. The analysis examines two contrasting rainfall events in Senegal: one characterized by widespread intense precipitation and another featuring localized moderate rainfall. Simulated rainfall, temperature, and humidity were validated against rain gauges, satellite products (ENACTS, ARC, CHIRPS, and IMERG), and ERA5 reanalysis data. The results show that the WRF configurations achieve correlation coefficients (r) ranging from 0.27 to 0.62 against ENACTS and from 0.15 to 0.41 against rain gauges. The sensitivity analysis reveals that PBL schemes primarily influence temperature and humidity, while CPSs significantly affect precipitation. For the heavy rainfall event, several configurations accurately captured the observed patterns, particularly those using Tiedtke or Grell–Devenyi CPSs coupled with the Mellor–Yamada–Janjic (MYJ) PBL. However, the model showed limited skill in simulating localized convection during the moderate rainfall event. These findings highlight the importance of selecting appropriate parameterizations to enhance WRF-based precipitation forecasting, especially for extreme weather events in West Africa. Full article
(This article belongs to the Special Issue Meteorological Forecasting and Modeling in Climatology)
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