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Research Highlights

Title Contact Institution Date
Probabilistic Machine Learning for Analyzing Massive Climate Data Sets on GPU-Enabled HPC RGMA Mark D. Risser Lawrence Berkeley National Laboratory
Principal Component Analysis for Extremes and Application to US Precipitation RGMA William D. Collins Lawrence Berkeley National Laboratory (LBNL)
Preparing for the Next Phase of CMIP RGMA Gerald A Meehl National Center for Atmospheric Research (NCAR)
Predictive Proxies of Present and Future Lightning in a Superparameterized Model RGMA William D. Collins Lawrence Berkeley National Laboratory (LBNL)
Predicting Warm Season Precipitation Jiwen Fan Pacific Northwest National Laboratory (PNNL)
Predicting the Particles that Initiate Freezing in Clouds RGMA Susannah Burrows Pacific Northwest National Laboratory (PNNL)
Predicting the Intensification of Global Precipitation Under Climate Change RGMA Jesse Norris University of California - Los Angeles
Predicting Slowdowns in Decadal Climate Warming Trends With Explainable Neural Networks RGMA Elizabeth A. Barnes Colorado State University
Predicting September Arctic Sea Ice: A Multimodel Seasonal Skill Comparison RGMA Wieslaw Maslowski Naval Postgraduate School (NPS) - Department of Oceanography
Predicting Regional and Pan-Arctic Sea Ice Anomalies with Kernel Analog Forecasting RGMA Darin Comeau Los Alamos National Laboratory (LANL)
Predicting Near-Term Changes in the Earth System: A Large Ensemble of Initialized Decadal Prediction Simulations Using the Community Earth System Model RGMA Gerald Meehl National Center for Atmospheric Research (NCAR)
Predicting Arctic Sea Ice Loss: Scientists Put Climate Model Through Paces, Identify Shortcomings ESMD Steven J Smith
Predicting and Planning for Chronic Climate-Driven Disturbances Daniel Stover DOE Terrestrial Ecosystem Science
Predicted Chance That Global Warming Will Temporarily Exceed 1.5 °C RGMA Gerald Meehl National Center for Atmospheric Research (NCAR)
Predictability of Tropical Vegetation Greenness Using Sea Surface Temperatures Jiafu Mao Oak Ridge National Laboratory (ORNL)
Preconditioning and Formation of Maud Rise Polynyas in a High-Resolution Earth System Model ESMD RGMA Milena Veneziani Los Alamos National Laboratory (LANL)
Precipitation Variability Increases in a Warmer Climate RGMA Angeline Pendergrass National Center for Atmospheric Research (NCAR)
Practice and Philosophy of Climate Model Tuning across Six US Modeling Centers RGMA Richard Neale National Center for Atmospheric Research (NCAR)
Powerful Brakes Applied by Cyclones’ Cold Wakes RGMA MSD Karthik Balguru Pacific Northwest National Laboratory (PNNL)
Potential Benefits in Remapping the Special Flood Hazard Area: Evidence from the U.S. Housing Market MSD John Weyant Stanford University
Positive Tropical Marine Low-Cloud Cover Feedback Inferred from Cloud-Controlling Factors RGMA
Population Aging and Heat Exposure in the 21st Century: Which U.S. Regions Are at Greatest Risk and Why? MSD Karen Fisher-Vanden Penn State University
Pooling Data Improves Multimodel IDF Estimates over Median-Based IDF Estimates: Analysis over the Susquehanna and Florida RGMA MSD Abhishekh Kumar Srivastava University of California Davis (UC Davis)
Polynyas’ Impact on Atmosphere Depends on Wind Direction RGMA Wilbert Weijer Los Alamos National Laboratory (LANL)
Pollution Weakens Monsoon's Might: Local, Global Emissions Suppress South Asian Summer Rainfall ESMD Dilip Ganguly
Pollution Particles from Open-Land Fires Have Global Impact on Clouds and Radiation RGMA Yun Qian Pacific Northwest National Laboratory (PNNL)
Pollution + Storm Clouds = Warmer Atmosphere RGMA Dilip Ganguly
Polar Imbalance: Understanding Differences in How the Arctic and Antarctic Respond to Increased Greenhouse Gases RGMA Philip Rasch Pacific Northwest National Laboratory (PNNL)
Plugging Water's Effects into an Earth System Model ESMD MSD Jeremy G Fyke Los Alamos National Laboratory (LANL)
Plugging Water's Effects in an Earth System Model ESMD Guoyong Leng Pacific Northwest National Laboratory (PNNL)

Showing 691 - 720 of 2143

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