Monthly Weather Review

Papers
(The H4-Index of Monthly Weather Review is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Two Corrections for Turbulent Kinetic Energy Generated by Wind Farms in the WRF Model49
Extensive High-Resolution Synthetic Aperture Radar (SAR) Data Analysis of Tropical Cyclones: Comparisons with SFMR Flights and Best Track43
On the Localized Extreme Rainfall over the Great Bay Area in South China with Complex Topography and Strong UHI Effects31
Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: A Systematic Comparison27
The Rapid Intensification of Hurricane Michael (2018): Storm Structure and the Relationship to Environmental and Air–Sea Interactions25
Dual Geostationary Lightning Mapper Observations23
Evaluation of Microphysics Schemes in Tropical Cyclones Using Polarimetric Radar Observations: Convective Precipitation in an Outer Rainband20
Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe20
“Gray Zone” Simulations Using a Three-Dimensional Planetary Boundary Layer Parameterization in the Weather Research and Forecasting Model20
The Reanalysis for the Global Ensemble Forecast System, Version 1220
Learning Forecasts of Rare Stratospheric Transitions from Short Simulations19
Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks18
GEFSv12 Reforecast Dataset for Supporting Subseasonal and Hydrometeorological Applications18
Insights into Supercells and Their Environments from Three Decades of Targeted Radiosonde Observations18
Formation of Nocturnal Offshore Rainfall near the West Coast of Sumatra: Land Breeze or Gravity Wave?17
Equatorial Waves Triggering Extreme Rainfall and Floods in Southwest Sulawesi, Indonesia17
Impact of Increasing Horizontal and Vertical Resolution during the HWRF Hybrid EnVar Data Assimilation on the Analysis and Prediction of Hurricane Patricia (2015)17
Physics-augmented Deep Learning to Improve Tropical Cyclone Intensity and Size Estimation from Satellite Imagery17
0.32570195198059