Meteorological Applications

Papers
(The H4-Index of Meteorological Applications is 13. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
A comparative study of convolutional neural network models for wind field downscaling53
Using machine learning to predict fire‐ignition occurrences from lightning forecasts30
Climatic zoning of Ghana using selected meteorological variables for the period 1976–201827
Response of surface ozone concentration to emission reduction and meteorology during the COVID‐19 lockdown in Europe24
Hydrometeorological analysis of a flash flood event in an ungauged Mediterranean watershed under an operational forecasting and monitoring context23
Responses of extreme high temperatures to urbanization in the Beijing–Tianjin–Hebei urban agglomeration in the context of a changing climate23
Projected changes in extreme rainfall and temperature events and possible implications for Cameroon's socio‐economic sectors20
Past and future drought trends, duration, and frequency in the semi‐arid Urmia Lake Basin under a changing climate18
How well do atmospheric reanalyses reproduce observed winds in coastal regions of Mexico?17
Spatio‐temporal rainfall variability and trend analysis in the Tekeze‐Atbara river basin, northwestern Ethiopia17
Drought characteristics over Nepal Himalaya and their relationship with climatic indices16
Pattern‐based conditioning enhances sub‐seasonal prediction skill of European national energy variables15
Calibration of non‐catching precipitation measurement instruments: A review14
Simulation of potential evapotranspiration values based on vine copula13
Estimation of precipitation induced by tropical cyclones based on machine‐learning‐enhanced analogue identification of numerical prediction13
Historical analysis (2001–2019) of low‐level wind shear at the Hong Kong International Airport13
Comparison of the BMA and EMOS statistical methods for probabilistic quantitative precipitation forecasting13
A seasonally blended and regionally integrated drought index using Bayesian network theory13
Deep learning‐based precipitation bias correction approach for Yin–He global spectral model13
An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions13
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