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Title Contact Institution Date
Observed Holiday Aerosol Reduction and Temperature Cooling over East Asia RGMA
Observed Changes in Hydroclimate Attributed to Human Forcing RGMA John Fasullo National Center for Atmospheric Research (NCAR)
Observed Changes in Dry Season Water Availability Attributed to Human-Induced Climate Change RGMA Jiafu Mao Oak Ridge National Laboratory (ORNL)
Observed and Projected Changes to the Precipitation Annual Cycle RGMA Kate Marvel Columbia University
Observed and Modeled Patterns of Co-Variabiiolty between Low-Level Cloudiness and the Structure of the Trade-Wind Layer RGMA Brian Medeiros National Center for Atmospheric Research (NCAR)
Observed and CMIP5-Simulated Sensitivities of Spring Greenup to Preseason Climate RGMA William J. Riley Lawrence Berkeley National Laboratory (LBNL)
Observations Show a Seasonal Delay of Tropical Rainfall RGMA L. Ruby Leung Pacific Northwest National Laboratory (PNNL) - Atmospheric Sciences & Global Change Division
Observations of Declining Primary Production in the Western Bering Strait RGMA Jaclyn Clement Kinney Naval Postgraduate School (NPS)
Observations Indicate that the Low-Cloud Feedback is Positive RGMA Stephen Klein Lawrence Livermore National Laboratory (LLNL)
Observations in Tundra Imply Needed Improvements in Land Models RGMA Nicholas J. Bouskill Lawrence Berkeley National Laboratory (LBNL)
Observations for Model Intercomparison Project (Obs4MIPs): Status for CMIP6 RGMA Paul J. Durack Lawrence Livermore National Laboratory (LLNL)
Observational Constraints on the Cloud Feedback Pattern Effect RGMA Mark Zelinka Lawrence Livermore National Laboratory (LLNL)
Observational Constraints on Mixed-Phase Clouds Imply Higher Climate Sensitivity RGMA Mark Zelinka 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)
Observational Constraint on Water Vapor Feedback RGMA N. D. Gordon
Observational Constraint on a Feedback from Supercooled Clouds Reduces Projected Warming Uncertainty RGMA Mark Zelinka Lawrence Livermore National Laboratory
Object-Oriented Analysis Yields Compounding Short-Term Drought and Crop Heat-Stress Events RGMA MSD William J. Gutowski, Jr. Iowa State University
Novel Method for Determining Flow Directions in River Channel Networks RGMA Anastasia Piliouras Los Alamos National Laboratory (LANL)
Novel Analysis of Cloud Observations Helps Pave the Way Toward a New Class of High-resolution Climate Models RGMA Siyu Chen
Northern Winter Climate Change: Assessment of uncertainty in CMIP5 projections related to stratosphere–troposphere coupling RGMA Elisa Manzini Max Planck Institute for Meteorology
Nonlinear Response of Extreme Precipitation to Warming in CESM1 RGMA Angeline Pendergrass National Center for Atmospheric Research (NCAR)
New Theory Resolves the Non-Monotonic Temperature Response of Biogeochemical Reaction Rates RGMA William J. Riley Lawrence Berkeley National Laboratory
New Study Shows How Extratropical Transitioning Cyclones Affect North American Fire Weather RGMA Simon Wang Utah State University
New Study Demonstrates a Particular Method of Coupling Data-Driven Hypothesis with Process-Based Hydrologic Modeling Capabilities RGMA Wen-Ping Tsai Pennsylvania State University
New Record Ocean Temperatures and Related Climate Indicators in 2023 RGMA John Fasullo National Center for Atmospheric Research (NCAR)
New Potential to Reduce Uncertainty in Regional Climate Projections by Combining Physical and Socio‐Economic Constraints RGMA Flavio Lehner National Center for Atmospheric Research (NCAR)
New Internationally Coordinated Climate Model Experiments Underway RGMA
New Insights into Natural Variability and Anthropogenic Forcing of Global/Regional Climate Evolution RGMA Aixue Hu National Center for Atmospheric Research (NCAR)
New Insights in Climate Science in 2020 RGMA Mark Zelinka Lawrence Livermore National Laboratory (LLNL)
New Global Maps of Soil Radiocarbon and Carbon Mean Age Indicate Turnover is Too Rapid in Models ESMD RGMA Zheng Shi University of California Irvine (UC Irvine)

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