OOIR: Observatory of International Research

Papers

(The H4-Index of Quarterly Journal of the Royal Meteorological Society is 22. 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 2020-07-01 to 2024-07-01.)

Article	Citations
The ERA5 global reanalysis: Preliminary extension to 1950	219
An evaluation of ERA5 precipitation for climate monitoring	92
The impact of Aeolus wind retrievals on ECMWF global weather forecasts	81
Convection‐permitting modelling improves simulated precipitation over the central and eastern Tibetan Plateau	71
Using machine learning to correct model error in data assimilation and forecast applications	53
An evaluation of surface meteorology and fluxes over the Iceland and Greenland Seas in ERA5 reanalysis: The impact of sea ice distribution	47
Assimilation of satellite data in numerical weather prediction. Part II: Recent years	42
Differences between the 2018 and 2019 stratospheric polar vortex split events	33
An evaluation of tropical waves and wave forcing of the QBO in the QBOi models	29
Year‐round sub‐seasonal forecast skill for Atlantic–European weather regimes	29
Latent space data assimilation by using deep learning	26
Teleconnections of the Quasi‐Biennial Oscillation in a multi‐model ensemble of QBO‐resolving models	26
Urban‐induced modifications to the diurnal cycle of rainfall over a tropical city	26
Climate variability and impacts on maize (Zea mays) yield in Ghana, West Africa	26
The regional model‐based Mesoscale Ensemble Prediction System, MEPS, at the Japan Meteorological Agency	25
On the analysis of a summertime convective event in a hyperarid environment	24
An assessment of GNSS radio occultation data produced by Spire	23
Insights into the convective evolution of Mediterranean tropical‐like cyclones	23
Sub‐km scale numerical weather prediction model simulations of radiation fog	22
Characteristics of convective precipitation over tropical Africa in storm‐resolving global simulations	22
A deep learning framework for lightning forecasting with multi‐source spatiotemporal data	22
Recent upgrades to the Met Office convective‐scale ensemble: An hourly time‐lagged 5‐day ensemble	22