A5079671364- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Precipitation Measurement and Analysis
- Atmospheric chemistry and aerosols
- Geophysics and Gravity Measurements
- Tropical and Extratropical Cyclones Research
- Atmospheric Ozone and Climate
- Oceanographic and Atmospheric Processes
- Cryospheric studies and observations
- Marine and coastal ecosystems
- Arctic and Antarctic ice dynamics
- Ionosphere and magnetosphere dynamics
- Climate Change Policy and Economics
- demographic modeling and climate adaptation
- Geological and Geophysical Studies
- Geology and Paleoclimatology Research
- Advanced Computational Techniques and Applications
- Seismology and Earthquake Studies
- Advanced Data Processing Techniques
- Environmental Impact and Sustainability
- Fire effects on ecosystems
- Stellar, planetary, and galactic studies
- Earthquake Detection and Analysis
Columbia University
2016-2025
Goddard Institute for Space Studies
2016-2025
Applied Mathematics (United States)
2023-2025
Jet Propulsion Laboratory
2023
McGill University
2021
Lawrence Livermore National Laboratory
2021
Pacific Northwest National Laboratory
2021
Colorado State University
2008-2014
This paper describes the GISS-E2.1 contribution to Coupled Model Intercomparison Project, Phase 6 (CMIP6). model version differs from predecessor (GISS-E2) chiefly due parameterization improvements atmospheric and ocean components, while keeping resolution same. skill when compared modern era climatologies is significantly higher than in previous versions. Additionally, updates forcings have a material impact on results. In particular, there been specific representations of modes variability...
Abstract We analyze the atmospheric processes that explain large changes in radiative feedbacks between two latest climate configurations of Hadley Centre Global Environmental model. use a set atmosphere‐only change simulations ( amip and amip‐p4K ) to separate contributions differences feedback parameter from all model developments configurations. show are mostly driven by shortwave cloud midlatitudes, mainly over Southern Ocean. Two new schemes most differences: introduction aerosol scheme...
Abstract. Model calibration (or tuning) is a necessary part of developing and testing coupled ocean–atmosphere climate models regardless their main scientific purpose. There an increasing recognition that this process needs to become more transparent for both users model output other developers. Knowing how why are tuned which targets used essential avoiding possible misattributions skillful predictions data accommodation vice versa. This paper describes the approach practice tuning six...
The Multisensor Advanced Climatology of Liquid Water Path (MAC-LWP), an updated and enhanced version the University Wisconsin (UWisc) cloud liquid water path (CLWP) climatology, currently provides 29 years (1988–2016) monthly gridded (1°) oceanic CLWP information constructed using Remote Sensing Systems (RSS) intercalibrated 0.25°-resolution retrievals. Satellite sources include SSM/I, TMI, AMSR-E, WindSat, SSMIS, AMSR-2, GMI. To mitigate spurious trends, climatology is corrected for...
Abstract Simulations of the CMIP6 historical period 1850–2014, characterized by emergence anthropogenic climate drivers like greenhouse gases, are presented for different configurations NASA Goddard Institute Space Studies (GISS) Earth System ModelE2.1. The GISS‐E2.1 ensembles more sensitive to gas forcing than their CMIP5 predecessors (GISS‐E2) but warm less during recent decades due a reduction that is attributed greater longwave opacity in pre‐industrial simulations. This results an...
Abstract This paper presents the response to anthropogenic forcing in GISS‐E2.1 climate models for 21st century Shared Socioeconomic Pathways emission scenarios within Coupled Model Intercomparison Project Phase 6 (CMIP6). The experiments were performed using an updated and improved version of NASA Goddard Institute Space Studies (GISS) coupled general circulation model that includes two different versions atmospheric composition: A non‐interactive (NINT) with prescribed composition a tuned...
Abstract. Recent studies have shown that, in response to a surface warming, the marine tropical low-cloud cover (LCC) as observed by passive-sensor satellites substantially decreases, therefore generating smaller negative value of top-of-the-atmosphere (TOA) cloud radiative effect (CRE). Here we study LCC and CRE interannual changes sea temperature (SST) forcings GISS model E2 climate model, developmental version E3 12 other models, function their ability represent vertical structure SST...
Abstract Aerosol‐cloud interactions (ACI) in warm clouds are the primary source of uncertainty effective radiative forcing (ERF) during historical period and, by extension, inferred climate sensitivity. The ERF due to ACI (ERFaci) is composed changes cloud microphysics and adjustments microphysics. Here, we examine processes that drive ERFaci using a perturbed parameter ensemble (PPE) hosted CAM6. Observational constraints on PPE result substantial response macrophysics anthropogenic...
Abstract. Aerosol–cloud interactions are a major source of uncertainty in inferring the climate sensitivity from observational record temperature. The adjustment clouds to aerosol is poorly constrained aspect these aerosol–cloud interactions. Here, we examine response midlatitude cyclone cloud properties change droplet number concentration (CDNC). Idealized experiments high-resolution, convection-permitting global aquaplanet simulations with constant CDNC compared 13 years remote-sensing...
Abstract. Aerosol–cloud interactions represent the leading uncertainty in our ability to infer climate sensitivity from observational record. The forcing changes cloud albedo driven by increases droplet number (Nd) (the first indirect effect) is confidently negative and has narrowed its probable range last decade, but sign strength of associated with macrophysics response aerosol (aerosol–cloud adjustments) remain uncertain. This reflects inability accurately quantify variability not a...
Among models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6), here we show that magnitude of tropical low cloud feedback, which contributes considerably to uncertainty estimates climate sensitivity, is intimately linked deep convection and its effects on atmospheric overturning circulation. First, a reduction ascent area an increased frequency heavy precipitation result high upper-tropospheric drying, increases longwave cooling reduces subsidence weakening,...
Abstract. This paper documents the methodology and preliminary results from a Perturbed Parameter Ensemble (PPE) technique, where multiple parameters are varied simultaneously parameter values determined with Latin hypercube sampling. is done Community Atmosphere Model version 6 (CAM6), atmospheric component of Earth System 2 (CESM2). We apply PPE method to CESM2-CAM6 understand climate sensitivity physics parameters. The initial simulations vary 45 in microphysics, convection, turbulence...
Abstract. This paper documents the methodology and preliminary results from a perturbed parameter ensemble (PPE) technique, where multiple parameters are varied simultaneously values determined with Latin hypercube sampling. is done Community Atmosphere Model version 6 (CAM6), atmospheric component of Earth System 2 (CESM2). We apply PPE method to CESM2–CAM6 understand climate sensitivity physics parameters. The initial simulations vary 45 in microphysics, convection, turbulence aerosol...
Abstract Convective cold pools are important modulators of the onset and evolution deep convection in tropics. This work leverages a dataset derived from Advanced Scatterometer (ASCAT) satellite instrument by Garg et al. (2020) to quantify seasonal variations pool activity their relationship across tropical ocean basins. The identifies gradient features (GFs) surface wind field, which have been shown serve as reliable proxies for boundaries atmospheric pools. We examine between GFs...
Abstract Marine cold‐air outbreaks (MCAOs) are crucial for Arctic Ocean heat loss, featuring convective cloud rolls that transition into convection cells downstream. Understanding factors controlling this transformation is the key improving MCAO representation in climate models. This study employs large‐eddy simulations to investigate how ice number concentrations () affect evolution using a case from Cold‐Air Outbreaks Boundary Layer Experiment (COMBLE) campaign. The simulations, performed...
Abstract Extratropical cyclones are the main providers of midlatitude precipitation, but how they will change in a warming climate is unclear. The latest NASA Goddard Institute for Space Studies (GISS) Earth System models (ESMs) accurately simulate location and structure cyclones, though deficiencies depiction cloud precipitation found. To provide new process-level context evaluation simulated mid-latitudes, occluded examined. Such characterized by formation thermal ridge, maintained via...
Abstract In light of the upcoming launch Global Precipitation Measurement (GPM) mission, a parametric retrieval algorithm nonraining parameters over global oceans is developed with ability to accommodate all currently existing and planned spaceborne microwave window channel sensors imagers. The physical using available sensor channels in full optimal estimation inversion. This framework requires that retrieved be physically consistent observed satellite radiances regardless being used. has...
Partitioning of convective ice into precipitating and detrained condensate presents a challenge for GCMs since partitioning depends on the strength microphysics updraft. It is an important issue because detrainment from updrafts influences development stratiform anvils, impacts radiation, can affect GCM climate sensitivity. Recent studies have shown that CMIP5 configurations Goddard Institute Space Studies (GISS) simulated upper-tropospheric water content (IWC) exceeded estimated upper bound...
Abstract This study provides observational evidence for feedbacks that amplify the short‐term hydrological response associated with warm phase of El Niño‐Southern Oscillation. Our analyses make use a comprehensive set independent satellite observations collected over decades to show much larger local changes cloud (~50%/K) and precipitation (~60%/K) occur than would be expected from guidance Clausius‐Clapeyron theory (~7%/K). amplification comes atmospheric involving shifts in patterns...
Abstract The extratropical shortwave (SW) cloud feedback is primarily due to increases in liquid extent and optical depth. Here, we examine the response of (35°–75°) marine water path (LWP) a uniform 4-K increase sea surface temperature (SST) global climate models (GCMs) from phase 5 Coupled Model Intercomparison Project (CMIP5) variants HadGEM3-GC3.1 GCM. Compositing used partition data into periods inside out cyclones. LWP SST associated atmospheric varies substantially among GCMs, but...
Shortwave (SW) cloud feedback (SWFB) is the primary driver of uncertainty in effective climate sensitivity (ECS) predicted by global models (GCMs). ECS for several GCMs participating sixth assessment report exceed 5K, above fifth "likely" maximum (4.5K) due to extratropical SWFB's that are more positive than those simulated previous generation GCMs. Here we show across 57 Southern Ocean SWFB can be from column-integrated liquid water mass (LWP) moisture convergence and surface temperature....
Abstract Deep convective system maximum areal extent is driven by the stratiform anvil area since fractions are much less than unity when systems reach peak size. It important to understand processes that drive size given impact large have on rainfall and of anvils high cloud feedbacks. Using satellite diabatic heating convective‐stratiform information mapped systems, composite analyses suggest sizes occur at temporal mid‐point lifecycles with both duration correlating above melting level....