Benchmarking Simulated Precipitation Variability Amplitude across Timescales
RGMA
Min-Seop Ahn
Lawrence Livermore National Laboratory (LLNL)
2022-07
Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks
RGMA
Elizabeth A. Barnes
Colorado State University
2022-05
Constraining the Increased Frequency of Global Precipitation Extremes Under Warming
RGMA
Chad Thackeray
University of California Los Angeles (UCLA)
2022-04
Superior Daily and Sub-Daily Precipitation Statistics for Intense and Long-Lived Storms in Global Storm-Resolving Models
RGMA
Hsi-Yen Ma
Lawrence Livermore National Laboratory (LLNL)
2022-04
Speeding up Detection of Climate Response to Emission Reductions
RGMA
Mark Zelinka
Lawrence Livermore National Laboratory (LLNL)
2022-03
Estimate Coupled Cloud Feedbacks from Inexpensive Short-Term Atmosphere-Only Simulations
RGMA
Stephen Klein
Lawrence Livermore National Laboratory (LLNL)
2022-01
Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment
RGMA
Stephen Klein
Lawrence Livermore National Laboratory (LLNL)
2022-01
Interpreting Modeled Oceans Across CMIP Eras and the Latest Observations
RGMA
Paul J. Durack
Lawrence Livermore National Laboratory (LLNL)
2021-10
Learning to Correct Climate Projection Biases
RGMA
Hsi-Yen Ma
Lawrence Livermore National Laboratory (LLNL)
2021-10
Robust evaluation of ENSO in climate models: How many ensemble members are needed?
RGMA
David Bader
Lawrence Livermore National Laboratory (LLNL)
2021-10
Estimate Ensemble Size for Robust ENSO Evaluation in Climate Models
RGMA
Jiwoo Lee
Lawrence Livermore National Laboratory (LLNL)
2021-10
On the Emergence of Human IInfluence on Surface Air Temperature Changes Over India
RGMA
Celine Bonfils
Lawrence Livermore National Laboratory (LLNL)
2021-09
Causes of Polar Amplification in Earth System Models
RGMA
Mark Zelinka
Lawrence Livermore National Laboratory (LLNL)
2021-08
Projected Changes to Hydroclimate Seasonality in the Continental United States
RGMA
Kate Marvel
NASA Goddard Institute for Space Studies (GISS)
2021-08
The Convective-To-Total Precipitation Ratio and the “Drizzling” Bias in Climate Models
RGMA
Di Chen
University of California Los Angeles (UCLA)
2021-08
Anthropogenic Influence on Extreme Precipitation Over Global Land Areas Seen in Multiple Observational Datasets
RGMA
Gavin D. Madakumbura
University of California Los Angeles (UCLA)
2021-07
Satellites may Underestimate Warming in the Troposphere
RGMA
Benjamin Santer
Lawrence Livermore National Laboratory (LLNL)
2021-06
What are the Possible Causes of Wet-Season Dry Biases over Amazonia?
RGMA
Hsi-Yen Ma
Lawrence Livermore National Laboratory (LLNL)
2021-06
Performance Changes in Extratropical Modes of Variability Across CMIP Generations
RGMA
Jiwoo Lee
Lawrence Livermore National Laboratory (LLNL)
2021-05
Observational Constraints on Low Cloud Feedback Reduce Uncertainty of Climate Sensitivity
RGMA
Timothy A. Myers
Lawrence Livermore National Laboratory (LLNL)
2021-05
Emergent Constraints on Climate Sensitivities
RGMA
Chad Thackeray
University of California Los Angeles (UCLA)
2021-05
Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways
RGMA
Jiwoo Lee
Lawrence Livermore National Laboratory (LLNL)
2021-04
Natural Variability Helps to Explain the Gap Between Atmospheric Warming in Satellite Observations and Climate Models
RGMA
Stephen Po-Chedley
Lawrence Livermore National Laboratory (LLNL)
2021-03
Climate Models Underestimate Diversity of Synoptic Conditions Associated With Extreme Precipitation Over California
RGMA
Jesse Norris
University of California Los Angeles (UCLA)
2021-03
Assessing Prior Emergent Constraints on Surface Albedo Feedback in the Latest Earth System Models
RGMA
Chad Thackeray
University of California Los Angeles (UCLA)
2021-03
New Insights in Climate Science in 2020
RGMA
Mark Zelinka
Lawrence Livermore National Laboratory (LLNL)
2021-02
Evaluating El Niño in Climate Models With the CLIVAR 2020 ENSO Metrics Package
RGMA
Jiwoo Lee
Lawrence Livermore National Laboratory (LLNL)
2021-02
Evaluating the Diurnal and Semidiurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations
RGMA
Peter Gleckler
Lawrence Livermore National Laboratory (LLNL)
2021-01
Climate Models Simulate Extreme Precipitation With Sharply Contrasting Physical Mechanisms
RGMA
Jesse Norris
University of California Los Angeles (UCLA)
2021-01
A Better Way to Gain Insights into Climate Model Moist Process Errors
RGMA
Hsi-Yen Ma
Lawrence Livermore National Laboratory (LLNL)
2021-01