A5036249795- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Oceanographic and Atmospheric Processes
- Tropical and Extratropical Cyclones Research
- demographic modeling and climate adaptation
- Hydrology and Drought Analysis
- Advanced Numerical Methods in Computational Mathematics
- Geological Modeling and Analysis
- Matrix Theory and Algorithms
- Energy and Environmental Systems
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Distributed and Parallel Computing Systems
- Numerical methods for differential equations
- Geology and Paleoclimatology Research
- Ocean Acidification Effects and Responses
- Computational Physics and Python Applications
- Geophysics and Gravity Measurements
- Water Resources and Sustainability
- Geographic Information Systems Studies
Lawrence Livermore National Laboratory
2021-2024
Institut des Sciences de la Mécanique et Applications Industrielles
2023
University of California, Davis
2023
Abstract. Systematic, routine, and comprehensive evaluation of Earth system models (ESMs) facilitates benchmarking improvement across model generations identifying the strengths weaknesses different configurations. By gauging consistency between observations, this endeavor is becoming increasingly necessary to objectively synthesize thousands simulations contributed Coupled Model Intercomparison Project (CMIP) date. The Program for Climate Diagnosis (PCMDI) Metrics Package (PMP) an...
Abstract. The U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) version 2.1 builds on E3SMv2 with several changes, the most notable being addition Fox-Kemper et al. (2011) mixed-layer eddy parameterization. This parameterization captures effect finite-amplitude, eddies as an overturning streamfunction and has primary function restratification. Herein, we outline changes to mean climate state E3SM that were introduced by this Overall, presence submesoscale improves...
The goal of the Coupled Model Intercomparison Project (CMIP) is to better understand past, present, and future changes in Earth system a multi-model context. In an effort increase project’s scientific societal relevance, improve accessibility, widen participation, CMIP Panel advocated for establishing number Task Teams aimed at supporting design, scope, definition next phase CMIP, as well evolution infrastructure operationalization activities. An important prerequisite...
Earth System Models (ESMs) are essential for understanding climate dynamics and informing policy decisions. This presentation focuses on the PCMDI Metrics Package (PMP), an open-source, Python-based framework designed objective "quick-look" comparisons benchmarking of ESMs against latest observational data. The PMP has been instrumental in systematically evaluating thousands simulations from Coupled Model Intercomparison Projects (CMIPs), with a primary focus physical atmospheric mean...
Abstract. As the resolution of global Earth system models increases, regional-scale evaluations are becoming ever more important. This study presents a framework for quantifying precipitation distributions at regional scales and applies it to evaluate Coupled Model Intercomparison Project (CMIP) 5 6 models. We employ Intergovernmental Panel on Climate Change (IPCC) sixth assessment report (AR6) climate reference regions over land propose refinements oceanic based homogeneity distribution...
Abstract Identifying predictable states of the climate system allows for enhanced prediction skill on generally low-skill subseasonal timescale via forecasts with higher confidence and accuracy, known as opportunity. This study takes a neural network approach to explore decadal variability predictability, particularly during Specifically, this work quantifies provided by tropics within Community Earth System Model Version 2 (CESM2) Large Ensemble assesses how evolves timescales. Utilizing...
Abstract. Systematic, routine, and comprehensive evaluation of Earth System Models (ESMs) facilitates benchmarking improvement across model generations identifying the strengths weaknesses different configurations. By gauging consistency between models observations, this endeavor is becoming increasingly necessary to objectively synthesize thousands simulations contributed Coupled Model Intercomparison Project (CMIP) date. The PCMDI Metrics Package (PMP) an open-source Python software...
Abstract We are interested in the modelling of saturated thermo-hydro-mechanical (THM) problems that describe behaviour a soil which weakly compressible fluid evolves. It is used for evaluation THM impact high-level activity radioactive waste exothermicity within deep geological disposal facility. shall present definition block preconditioner with nested Krylov solvers fully coupled equations. Numerical results reflect good performance proposed preconditioners show to be scalable until more...
The PCMDI Metrics Package (PMP) is an open-source Python-based framework that enables objective "quick-look" comparisons and benchmarking of Earth System Models (ESMs) against observation-based reference datasets. PMP, which focused primarily on atmospheric quantities, has been used for routine systematic evaluation thousands simulations from the Coupled Model Intercomparison Project (CMIP). Ongoing work aims seamless application tool to next generation CMIP (CMIP7), with aspiration aid...
Abstract Bimodality in precipitation frequency distributions is often evident atmospheric models, but rarely observations. This study i) proposes a metric to objectively quantify the bimodality distributions, ii) evaluates model simulations contributed Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5), 6 (CMIP6), and DYnamics of Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) project by comparing them satellite-based reanalysis products, iii)...
Abstract. The U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) version 2.1 builds on E3SMv2 with several changes, the most notable being addition Fox-Kemper et al. (2011) mixed layer eddy parameterization. This parameterization captures effect finite-amplitude, eddies as an overturning streamfunction and has primary function restratification. Herein, we outline changes to mean climate state E3SM that were introduced by this Overall, presence submesoscale improves...
<title>Abstract</title> Bimodality in precipitation frequency distributions is often evident atmospheric models, but rarely observations. This study i) proposes a metric to objectively quantify the bimodality distributions, ii) evaluates model simulations contributed Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5), 6 (CMIP6), and DYnamics of Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) project by comparing them satellite-based reanalysis products,...
Abstract. A framework for quantifying precipitation distributions at regional scales is presented and applied to CMIP 5 6 models. We employ the IPCC AR6 climate reference regions over land propose refinements oceanic based on homogeneity of distribution characteristics. The homogeneous are identified as heavy, moderate, light precipitating areas by K-means clustering IMERG frequency amount distributions. With global domain partitioned into 62 regions, including 46 16 ocean we apply 10...