Leaderboards/Meteorological Phenomena and Simulations

Meteorological Phenomena and Simulations

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

Kaifeng Bi

Huawei Technologies (China)

Ilan Price

Google DeepMind (United Kingdom)

James Donnelly

University of Warwick

Yuchen Zhang

Northeast Agricultural University

Xiaoling Yang

Lomonosov Moscow State University

Lasse Espeholt

Google (United States)

Dule Shu

Carnegie Mellon University

Liuyi Chen

Hunan University

Zhifeng Ma

Datang Telecom Group (China)

Morteza Mardani

Nvidia (United States)

Papers

Probabilistic weather forecasting with machine learning

Nature|2024

306 cit.

DB-RNN: An RNN for Precipitation Nowcasting Deblurring

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2024

32 cit.

Publication in Intelligent Computing (2025) [W4412121390]

Intelligent Computing|2025

0 cit.

Publication in Journal of Meteorological Research (2026) [W7132814628]

Journal of Meteorological Research|2026

0 cit.

Publication in IEEE Transactions on Geoscience and Remote Sensing (2026) [W7154582413]

IEEE Transactions on Geoscience and Remote Sensing|2026

0 cit.

Emerging Leaders

Drafting the new consensus

Papers

Probabilistic weather forecasting with machine learning

Nature|2024

306 cit.

Respecting causality for training physics-informed neural networks

Computer Methods in Applied Mechanics and Engineering|2024

269 cit.

Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps

The cryosphere|2022

181 cit.

A foundation model for the Earth system

Nature|2025

132 cit.

Improved Architectures and Training Algorithms for Deep Operator Networks

Journal of Scientific Computing|2022

118 cit.

Long-time integration of parametric evolution equations with physics-informed DeepONets

Journal of Computational Physics|2022

114 cit.

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e520"><mml:mi>Δ</mml:mi></mml:math>-PINNs: Physics-informed neural networks on complex geometries

Engineering Applications of Artificial Intelligence|2023

51 cit.

Scalable uncertainty quantification for deep operator networks using randomized priors

Computer Methods in Applied Mechanics and Engineering|2022

42 cit.

How Extreme Were Daily Global Temperatures in 2023 and Early 2024?

Geophysical Research Letters|2024

29 cit.

Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability

Geophysical Research Letters|2022

28 cit.

Current Senior Leaders

Wrote the book, still writing it

Papers

The ERA5 global reanalysis

Quarterly Journal of the Royal Meteorological Society|2020

30.4k cit.

The ERA‐Interim reanalysis: configuration and performance of the data assimilation system

Quarterly Journal of the Royal Meteorological Society|2011

26.4k cit.

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Journal of Computational Physics|2018

16.9k cit.

An Overview of CMIP5 and the Experiment Design

Bulletin of the American Meteorological Society|2011

14.7k cit.

Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

Geoscientific model development|2016

12k cit.

Summarizing multiple aspects of model performance in a single diagram

Journal of Geophysical Research Atmospheres|2001

8.7k cit.

A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes

Monthly Weather Review|2006

7.3k cit.

Present and future Köppen-Geiger climate classification maps at 1-km resolution

Scientific Data|2018

6.5k cit.

Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity

Monthly Weather Review|2001

5.8k cit.

Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional Model

Journal of the Atmospheric Sciences|1989

5.4k cit.

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