Tellus Series A-Dynamic Meteorology and Oceanography

Papers
(The TQCC of Tellus Series A-Dynamic Meteorology and Oceanography is 2. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Fourth Order Partitioned Methods Designed for the Time Integration of Atmospheric Models18
Phytoplankton Blooms Triggered by Anticyclonic Eddy and Cyclonic Eddy during Tropical Cyclone Nada16
Self-Adaptive Quantiles for Precipitation Forecasting10
Influence of Phase Variations of Madden-Julian Oscillation on Wintertime Large-Scale Cold Events in China7
Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change7
High-Resolution Reanalysis of Daily Precipitation using AROME Model Over France7
WITHDRAWN: Volume 0 Issue 05
Application of Exact Newton Optimisation to the Maximum Likelihood Ensemble Filter5
Improving Ocean Reanalysis with the Offline Ensemble Kalman Smoother4
Using the (Iterative) Ensemble Kalman Smoother to Estimate the Time Correlation in Model Error4
Two Methods for Data Assimilation of Wind Direction3
Future Changes of European Windstorm Losses in EURO-CORDEX Simulations3
Flow-Dependent Large-Scale Blending for Limited-Area Ensemble Data Assimilation3
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering2
Connecting North Atlantic SST Variability to European Heat Events over the Past Decades2
Seamless Prediction of High-Impact Weather Events: A Comparison of Actionable Forecasts2
A Comparison of Sea Surface Temperature Perturbation Methods for a Convection Permitting Ensemble Prediction System Over the European Arctic2
Developments of Single-Moment ALARO Microphysics Scheme with Three Prognostic Ice Categories2
The Effect of Indian Ocean Surface Freshwater Flux Biases On the Multi-Stable Regime of the AMOC2
Chester Newton: Career of a Synoptic Meteorologist2
Comparison of Traditional and Hybrid Forms of Optimal Localisation for Mitigation of Sampling Error in Ensemble Kalman Filters2
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