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Research Highlights

Title Contact Institution Date
A New Framework for Evaluating Model-Based Energy Scenarios MSD Katherine Calvin Pacific Northwest National Laboratory (PNNL)
A New Fractional Snow-Covered Area Parameterization for the Community Land Model and its Effect on the Surface Energy Balance RGMA S. C. Swenson
A New Experimental Strategy Identifies Sources of Undesirable Model Sensitivities ESMD Hui Wan Pacific Northwest National Laboratory (PNNL)
A new conceptual model of short-term photosynthate storage and transport based on experimental observations ESMD Jiafu Mao Oak Ridge National Laboratory (ORNL)
A need for Actionable Climate Projections Across the Global South RGMA John Fasullo National Center for Atmospheric Research (NCAR)
A Multiyear Tropical Pacific Cooling Response to Recent Australian Wildfires in CESM2 RGMA John Fasullo National Center for Atmospheric Research (NCAR)
A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data RGMA Chaopeng Shen Pennsylvania State University
A Multi-scale Modelling Framework Model (Superparameterized CAM5) with a Higher-Order Turbulence Closure: Model Description and Low-Cloud Simulations ESMD RGMA
A More Realistic Way to Simulate Large-Scale Adoption of New Energy Technologies MSD Jennifer Morris Massachusetts Institute of Technology (MIT)
A More Powerful Reality Test for Climate Models RGMA Peter Gleckler Lawrence Livermore National Laboratory (LLNL)
A Modified Thermodynamic Sea Ice Model and its Application RGMA Aixue Hu National Center for Atmospheric Research (NCAR)
A Modeling Examination of Cloud Seeding Conditions Under the Warmer Climate in Utah RGMA Binod Pokharel Utah State University (USU)
A Matrix Dependent/Algebraic Multigrid Approach for Extruded Meshes With Applications to Ice Sheet Modeling Ray Tuminaro Sandia National Laboratories (SNL)
A Marine Biogenic Source of Atmospheric Ice Nucleating Particles ESMD Susannah Burrows
A Machine Learning-Based Approach to Climate Predictability Studies RGMA Balu Nadiga Los Alamos National Laboratory (LANL)
A Machine Learning Approach to Emulation and Biophysical Parameter Estimation for Land Models RGMA Katie Dagon National Center for Atmospheric Research (NCAR)
A Joint Role for Forced and Internally-Driven Variability in the Decadal Modulation of Global Warming RGMA Julie Arblaster Monash University
A Hydrological Emulator for Global Applications MSD Mohamad Hejazi Pacific Northwest National Laboratory (PNNL)
A Hindcast Experiment Using the GCAM 3.0 Agriculture and Land-Use Module MSD Leon Clarke Pacific Northwest National Laboratory (PNNL)
A High Order Characteristic Discontinuous Galerkin Scheme for Advection on Unstructured Meshes ESMD David Lee Los Alamos National Laboratory (LANL)
A Hierarchical Collection of Political/Economic Regions for Analysis of Climate Extremes RGMA William D. Collins Lawrence Berkeley National Laboratory (LBNL)
A Hierarchical Analysis of the Impact of Methodological Decisionson Statistical Downscaling of Daily Precipitation and Air Temperatures RGMA MSD Sara C. Pryor Cornell University
A Growing Freshwater Lens in the Arctic Ocean with Sustained Climate Warming Disrupts Marine Ecosystem Function ESMD RGMA Weiwei Fu University of California Irvine (UC Irvine)
A Global Soil Erosion and Sediment Flux Model ESMD L. Ruby Leung Pacific Northwest National Laboratory (PNNL)
A Global Sensitivity Analysis Identifies Main Parameters Driving Uncertainty in Los Alamos Sea Ice Model (CICE) RGMA Jorge R. Urrego-Blanco Los Alamos National Laboratory (LANL)
A Global Hydrologic Framework to Accelerate Scientific Discovery MSD Mohamad Hejazi Pacific Northwest National Laboratory (PNNL)
A Global Food Demand Model for the Assessment of Complex Human-Earth Systems MSD James A. Edmonds Pacific Northwest National Laboratory (PNNL)
A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models ESMD Ruby Leung Pacific Northwest National Laboratory (PNNL)
A Generic Law-of-the-Minimum Flux Limiter for Simulating Substrate Limitation in Biogeochemical Models ESMD William J. Riley Lawrence Berkeley National Laboratory (LBNL)
A Generative Deep Learning Model Complements Current Climate Model Emulators, Extending Monthly Outputs to Daily Frequency MSD Marshall Wise Pacific Northwest National Laboratory

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