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Research Highlights

The entire collection of Earth and Environmental System Modeling Research Highlights can be accessed using the search below. You may also search the BER Research Highlights database by selecting Earth and Environmental System Modeling and/or Multisector Dynamics then selecting List.

Project: PCMDI – An Earth System Model Evaluation Project
Title Contact Institution Date
Robust Anthropogenic Signal Identified in the Seasonal Cycle of Tropospheric Temperature RGMA Stephen Po-Chedley Lawrence Livermore National Laboratory (LLNL)
Detailing Cloud Property Feedbacks With a Regime-Based Decomposition RGMA Mark Zelinka Lawrence Livermore National Laboratory (LLNL)
Evaluating Uncertainty in Aerosol Forcing of Tropical Precipitation Shifts RGMA Celine Bonfils Lawrence Livermore National Laboratory (LLNL)
Correcting Numeric Parameters in Microphysics Scheme Improved WRF Performance RGMA Jiwoo Lee Lawrence Livermore National Laboratory (LLNL)
El Niño and La Niña Events in Central Pacific are a Good Proxy for Future Global Precipitation Increase RGMA Jesse Norris University of California Los Angeles (UCLA)
Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks RGMA Elizabeth A. Barnes Colorado State University
Benchmarking Simulated Precipitation Variability Amplitude across Timescales RGMA Min-Seop Ahn Lawrence Livermore National Laboratory (LLNL)
Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks RGMA Elizabeth A. Barnes Colorado State University
Constraining the Increased Frequency of Global Precipitation Extremes Under Warming RGMA Chad Thackeray University of California Los Angeles (UCLA)
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)
Speeding up Detection of Climate Response to Emission Reductions RGMA Mark Zelinka Lawrence Livermore National Laboratory (LLNL)
Estimate Coupled Cloud Feedbacks from Inexpensive Short-Term Atmosphere-Only Simulations RGMA Stephen Klein Lawrence Livermore National Laboratory (LLNL)
Evaluating Climate Models’ Cloud Feedbacks Against Expert Judgment RGMA Stephen Klein Lawrence Livermore National Laboratory (LLNL)
Interpreting Modeled Oceans Across CMIP Eras and the Latest Observations RGMA Paul J. Durack Lawrence Livermore National Laboratory (LLNL)
Estimate Ensemble Size for Robust ENSO Evaluation in Climate Models RGMA Jiwoo Lee Lawrence Livermore National Laboratory (LLNL)
Learning to Correct Climate Projection Biases RGMA Hsi-Yen Ma Lawrence Livermore National Laboratory (LLNL)
Robust evaluation of ENSO in climate models: How many ensemble members are needed? RGMA David Bader Lawrence Livermore National Laboratory (LLNL)
On the Emergence of Human IInfluence on Surface Air Temperature Changes Over India RGMA Celine Bonfils Lawrence Livermore National Laboratory (LLNL)
Causes of Polar Amplification in Earth System Models RGMA Mark Zelinka Lawrence Livermore National Laboratory (LLNL)
Projected Changes to Hydroclimate Seasonality in the Continental United States RGMA Kate Marvel NASA Goddard Institute for Space Studies (GISS)
The Convective-To-Total Precipitation Ratio and the “Drizzling” Bias in Climate Models RGMA Di Chen University of California Los Angeles (UCLA)
Anthropogenic Influence on Extreme Precipitation Over Global Land Areas Seen in Multiple Observational Datasets RGMA Gavin D. Madakumbura University of California Los Angeles (UCLA)
Satellites may Underestimate Warming in the Troposphere RGMA Benjamin Santer Lawrence Livermore National Laboratory (LLNL)
What are the Possible Causes of Wet-Season Dry Biases over Amazonia? RGMA Hsi-Yen Ma Lawrence Livermore National Laboratory (LLNL)
Performance Changes in Extratropical Modes of Variability Across CMIP Generations RGMA Jiwoo Lee Lawrence Livermore National Laboratory (LLNL)
Observational Constraints on Low Cloud Feedback Reduce Uncertainty of Climate Sensitivity RGMA Timothy A. Myers Lawrence Livermore National Laboratory (LLNL)
Emergent Constraints on Climate Sensitivities RGMA Chad Thackeray University of California Los Angeles (UCLA)
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)
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)
Climate Models Underestimate Diversity of Synoptic Conditions Associated With Extreme Precipitation Over California RGMA Jesse Norris University of California Los Angeles (UCLA)

Showing 31 - 60 of 145

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