A5017803933- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Oceanographic and Atmospheric Processes
- Geophysics and Gravity Measurements
- Tropical and Extratropical Cyclones Research
- Big Data Technologies and Applications
- Research Data Management Practices
- Computational Physics and Python Applications
- Methane Hydrates and Related Phenomena
- Hydrology and Watershed Management Studies
- Advanced Data Storage Technologies
- Marine and coastal ecosystems
- Calibration and Measurement Techniques
- Parallel Computing and Optimization Techniques
- Advanced Computational Techniques and Applications
- Atmospheric aerosols and clouds
- Cryospheric studies and observations
- Arctic and Antarctic ice dynamics
- 3D Modeling in Geospatial Applications
- Environmental Monitoring and Data Management
- Bayesian Modeling and Causal Inference
- Explainable Artificial Intelligence (XAI)
Vellore Institute of Technology University
2025
Princeton University
2015-2024
Futures Group (United States)
2023-2024
NOAA Geophysical Fluid Dynamics Laboratory
2014-2023
Laboratoire des Sciences du Climat et de l'Environnement
2020-2023
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2021-2023
CEA Paris-Saclay
2021-2023
Institut Pierre-Simon Laplace
2020-2021
Cooperative Institute for Climate and Satellites
2015-2016
Goddard Space Flight Center
2015
Abstract The formulation and simulation characteristics of two new global coupled climate models developed at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) are described. were designed to simulate atmospheric oceanic variability from the diurnal time scale through multicentury change, given our computational constraints. In particular, an important goal was use same model for both experimental seasonal interannual forecasting study this has been achieved. Two versions described, called...
Eutrophication, or excessive nutrient enrichment, threatens water resources across the globe. We show that climate change-induced precipitation changes alone will substantially increase (19 ± 14%) riverine total nitrogen loading within continental United States by end of century for "business-as-usual" scenario. The impacts, driven projected increases in both and extreme precipitation, be especially strong Northeast corn belt States. Offsetting this would require a 33 24% reduction inputs,...
Abstract We describe the baseline coupled model configuration and simulation characteristics of GFDL's Earth System Model Version 4.1 (ESM4.1), which builds on component developments at GFDL over 2013–2018 for carbon‐chemistry‐climate contributing to sixth phase Coupled Intercomparison Project. In contrast with CM4.0 development effort that focuses ocean resolution physical climate, ESM4.1 comprehensiveness system interactions. features doubled horizontal both atmosphere (2° 1°) (1° 0.5°)...
Abstract The process of parameter estimation targeting a chosen set observations is an essential aspect numerical modeling. This usually named tuning in the climate modeling community. In models, variety and complexity physical processes involved, their interplay through wide range spatial temporal scales, must be summarized series approximate submodels. Most submodels depend on uncertain parameters. Tuning consists adjusting values these parameters to bring solution as whole into line with...
Abstract The authors present results for simulated climate and change from a newly developed high-resolution global model [Geophysical Fluid Dynamics Laboratory Climate Model version 2.5 (GFDL CM2.5)]. GFDL CM2.5 has an atmospheric resolution of approximately 50 km in the horizontal, with 32 vertical levels. horizontal ocean ranges 28 tropics to 8 at high latitudes, This allows explicit simulation some mesoscale eddies ocean, particularly lower latitudes. Analyses are presented based on...
We describe the Geophysical Fluid Dynamics Laboratory's CM4.0 physical climate model, with emphasis on those aspects that may be of particular importance to users this model and its simulations. The is built AM4.0/LM4.0 atmosphere/land OM4.0 ocean model. Topics include rationale for key choices made in formulation, stability as well drift preindustrial control simulation, comparison historical simulations observations from recent decades. Notable achievements relatively small biases seasonal...
Abstract. The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the Coupled Phase 6 (CMIP6). OMIP addresses CMIP6 science questions, investigating origins and consequences of systematic model biases. It does so by providing a framework for evaluating (including assessment biases), understanding, improving ocean, sea-ice, tracer, biogeochemical components climate earth system models contributing to CMIP6. Among WCRP Grand Challenges (GCs), primarily contributes regional sea...
Abstract Tropical cyclones (TCs) are a hazard to life and property prominent element of the global climate system; therefore, understanding predicting TC location, intensity, frequency is both societal scientific significance. Methodologies exist predict basinwide, seasonally aggregated activity months, seasons, even years in advance. It shown that newly developed high-resolution model can produce skillful forecasts seasonal on spatial scales finer than from months seasons advance season....
Abstract We document the configuration and emergent simulation features from Geophysical Fluid Dynamics Laboratory (GFDL) OM4.0 ocean/sea ice model. OM4 serves as component for GFDL climate Earth system models. It is also used science research contributing to Coupled Model Intercomparison Project version 6 Ocean Project. The ocean of uses Modular sea 2 Sea Ice Simulator, which have identical horizontal grid layouts (Arakawa C‐grid). follow Coordinated Ocean‐sea Reference Experiments protocol...
Abstract In Part 2 of this two‐part paper, documentation is provided key aspects a version the AM4.0/LM4.0 atmosphere/land model that will serve as base for new set climate and Earth system models (CM4 ESM4) under development at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). The quality simulation in AMIP (Atmospheric Model Intercomparison Project) mode has been 1. provides components some sensitivities to choices formulation values parameters, highlighting convection parameterization...
Abstract In this two‐part paper, a description is provided of version the AM4.0/LM4.0 atmosphere/land model that will serve as base for new set climate and Earth system models (CM4 ESM4) under development at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). This version, with roughly 100 km horizontal resolution 33 levels in vertical, contains an aerosol generates fields from emissions “light” chemistry mechanism designed to support but prescribed ozone. Part 1, quality simulation AMIP...
Responses of tropical cyclones (TCs) to CO2 doubling are explored using coupled global climate models (GCMs) with increasingly refined atmospheric/land horizontal grids (~ 200 km, ~ 50 km and 25 km). The three exhibit similar changes in background fields thought regulate TC activity, such as relative sea surface temperature (SST), potential intensity, wind shear. However, frequency decreases substantially the model, while model shows no significant change. also has a substantial...
Abstract The current generation of coupled climate models run at the Geophysical Fluid Dynamics Laboratory (GFDL) as part Climate Change Science Program contains ocean components that differ in almost every respect from those contained previous generations GFDL models. This paper summarizes new physical features and examines simulations they produce. Of two model versions 2.1 (CM2.1) 2.0 (CM2.0), CM2.1 represents a major improvement over CM2.0 most oceanic examined, with strikingly lower...
The Earth System Modeling Framework is a component-based architecture for developing and assembling climate related models. A virtual machine underlies the component-level constructs in ESMF, providing both foundation performance portability mechanisms resource allocation component sequencing.
A technique for the remote sensing of hail with an S-band dual linear polarization radar is described. The method employs a new signal HDR, which derived from disdrometer measurements raindrop size distributions. Experimental measurements, made in Colorado National Center Atmospheric Research's (NCAR) CP-2 system, are used to demonstrate two major hailstorms.
Abstract This study demonstrates skillful seasonal prediction of 2-m air temperature and precipitation over land in a new high-resolution climate model developed by the Geophysical Fluid Dynamics Laboratory explores possible sources skill. The authors employ statistical optimization approach to identify most predictable components mean demonstrate predictive skill these components. First, improved previous lower-resolution Niño-3.4 index other aspects interest is shown. Then, for boreal...
Empirical statistical downscaling (ESD) methods seek to refine global climate model (GCM) outputs via processes that glean information from a combination of observations and GCM simulations. They aim create value-added projections by reducing biases adding finer spatial detail. Analysis techniques, such as cross-validation, allow assessments how well ESD meet these goals during observational periods. However, the extent which an method's skill might differ when applied future cannot be...
Abstract. The Coupled Model Intercomparison Project (CMIP) has successfully provided the climate community with a rich collection of simulation output from Earth system models (ESMs) that can be used to understand past changes and make projections uncertainty estimates future. Confidence in ESMs gained because are based on physical principles reproduce many important aspects observed climate. More research is required identify processes most responsible for systematic biases magnitude future...
Abstract. The World Climate Research Programme (WCRP)'s Working Group on Modelling (WGCM) Infrastructure Panel (WIP) was formed in 2014 response to the explosive growth size and complexity of Coupled Model Intercomparison Projects (CMIPs) between CMIP3 (2005–2006) CMIP5 (2011–2012). This article presents WIP recommendations for global data infrastructure needed support CMIP design, future growth, evolution. Developed close coordination with those who build run existing (the Earth System Grid...
Abstract Efforts to manage living marine resources (LMRs) under climate change need projections of future ocean conditions, yet most global models (GCMs) poorly represent critical coastal habitats. GCM utility for LMR applications will increase with higher spatial resolution but obstacles including computational and data storage costs, obstinate regional biases, formulations prioritizing robustness over skill persist. Downscaling can help address limitations, significant improvements are...
Traditional general circulation models, or GCMs-that is, three-dimensional dynamical models with unresolved terms represented in equations tunable parameters-have been a mainstay of climate research for several decades, and some the pioneering studies have recently recognized by Nobel prize Physics. Yet, there is considerable debate around their continuing role future. Frequently mentioned as limitations GCMs are structural error uncertainty across different representations scales fact that...
Abstract The seasonal predictability of extratropical storm tracks in the Geophysical Fluid Dynamics Laboratory’s (GFDL)’s high-resolution climate model has been investigated using an average time analysis. leading predictable components are ENSO-related spatial patterns for both boreal winter and summer, second mostly due to changes external radiative forcing multidecadal oceanic variability. These two seasons show significant correlation skill all leads from 0 9 months, while predicting...
Abstract. This paper presents a review of the software currently used in climate modelling general and CMIP5 particular to couple numerical codes representing different components Earth System. The coupling technologies presented show common features, such as ability communicate regrid data, also offer functions implementations. Design characteristics approaches are discussed well future challenges arising from increasing complexity scientific problems computing platforms.
The advent of digital computing in the 1950s sparked a revolution science weather and climate. Meteorology, long based on extrapolating patterns space time, gave way to computational methods decade advances numerical forecasting. Those same also rise climate science, studying behaviour those equations over intervals much longer than events, changes external boundary conditions. Several subsequent decades exponential growth power have brought us present day, where models ever grow resolution...
Abstract The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given increasing use in high stakes decision‐making such as climate change applications. We address both issues by successfully implementing a Bayesian Neural Network (BNN), where parameters are distributions rather than deterministic, applying novel implementations explainable AI (XAI) techniques. analysis from BNN provides...