Sundararaman Gopalakrishnan

ORCID: 0000-0002-7560-0655
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About
Contact & Profiles
Research Areas
  • Tropical and Extratropical Cyclones Research
  • Meteorological Phenomena and Simulations
  • Ocean Waves and Remote Sensing
  • Climate variability and models
  • Wind and Air Flow Studies
  • Flood Risk Assessment and Management
  • Geophysics and Gravity Measurements
  • Fluid Dynamics and Turbulent Flows
  • Precipitation Measurement and Analysis
  • Atmospheric aerosols and clouds
  • Coastal and Marine Dynamics
  • Earthquake and Tsunami Effects
  • Plant Water Relations and Carbon Dynamics
  • Particle Dynamics in Fluid Flows
  • Computational Physics and Python Applications
  • Thermal Radiation and Cooling Technologies
  • Nonlinear Waves and Solitons
  • Solar and Space Plasma Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Aerodynamics and Fluid Dynamics Research
  • Solar Radiation and Photovoltaics
  • Fractional Differential Equations Solutions
  • Oil Spill Detection and Mitigation
  • Big Data Technologies and Applications
  • Radiative Heat Transfer Studies

National Oceanic and Atmospheric Administration
2015-2025

The University of Texas at Austin
2025

National Institute of Technology Rourkela
2025

India Meteorological Department
2025

National Centre for Medium Range Weather Forecasting
2025

Indian National Centre for Ocean Information Services
2025

NOAA Atlantic Oceanographic and Meteorological Laboratories
2015-2024

California Institute of Technology
2021

University of Miami
2019-2020

NOAA National Centers for Environmental Prediction
2019

Abstract The Hurricane Weather Research and Forecasting (HWRF) system was used in an idealized framework to gain a fundamental understanding of the variability tropical cyclone (TC) structure intensity prediction that may arise due vertical diffusion. modeling uses Medium-Range Forecast parameterization scheme. Flight-level data collected by NOAA WP-3D research aircraft during eyewall penetration category 5 Hugo (1989) at altitude about 450–500 m Allen (1980) were as basis best match modeled...

10.1175/jas-d-11-0340.1 article EN other-oa Journal of the Atmospheric Sciences 2012-08-13

Abstract Forecasting intensity changes in tropical cyclones (TCs) is a complex and challenging multiscale problem. While cloud-resolving numerical models using horizontal grid resolution of 1–3 km are starting to show some skill predicting the individual cases, it not clear at this time what may be reasonable for forecasting TC on day-to-day-basis. The Experimental Hurricane Weather Research System (HWRFX) was used within an idealized framework gain fundamental understanding influence...

10.1175/2010mwr3535.1 article EN other-oa Monthly Weather Review 2010-10-12

Abstract This paper provides an account of the performance experimental version Hurricane Weather Research and Forecasting system (HWRFX) for 87 cases Atlantic tropical cyclones during 2005, 2007, 2009 hurricane seasons. The HWRFX was used to study influence model grid resolution, initial conditions, physics. For each case, run produce 126 h forecast with two versions horizontal namely, (i) a parent domain at resolution about 27 km 9-km moving nest (27:9) (ii) 9 3-km (9:3). former selected...

10.1175/waf-d-11-00055.1 article EN other-oa Weather and Forecasting 2012-02-06

An update of the progress achieved as part NOAA Intensity Forecasting Experiment (IFEX) is provided. Included a brief summary noteworthy aircraft missions flown in years since 2005, first year IFEX flights occurred, well description research and development activities that directly address three primary goals: 1) collect observations span tropical cyclone (TC) life cycle variety environments for model initialization evaluation; 2) develop refine measurement strategies technologies provide...

10.1175/bams-d-12-00089.1 article EN Bulletin of the American Meteorological Society 2013-06-01

Abstract In this study, the results of a forecast from operational Hurricane Weather Research and Forecast (HWRF) system for Earl (2010) are verified against observations analyzed to understand asymmetric rapid intensification storm in sheared environment. The verification shows that HWRF captured well Earl’s observed evolution intensity, convection asymmetry, wind field vortex tilt terms magnitude direction pre (RI) stages. Examination high-resolution data reveals was large at RI onset...

10.1175/jas-d-14-0097.1 article EN other-oa Journal of the Atmospheric Sciences 2014-10-28

Improving the prediction of weather events is always an important research area and challenging task to meteorologists since it poses a major impact on human life, properties countries economy. The operational centers around globe have been working better understand multiscale interactions involved advance severe including Tropical Cyclones thunderstorm predictions. present review article focuses activities with specific emphasis Numerical Weather Prediction (NWP) methods that led...

10.54302/mausam.v76i1.6479 article EN cc-by-nc MAUSAM 2025-01-16

Abstract A series of idealized experiments with the NOAA Experimental Hurricane Weather Research and Forecasting Model (HWRFX) are performed to examine sensitivity tropical cyclone (TC) intensification various parameterization schemes boundary layer (BL), subgrid convection, cloud microphysics, radiation. Results from all compared in terms maximum surface 10-m wind (VMAX) minimum sea level pressure (PMIN)—operational metrics TC intensity—as well as azimuthally averaged temporal spatial...

10.1175/mwr-d-11-00332.1 article EN other-oa Monthly Weather Review 2012-04-09

Abstract The very severe cyclonic storm (VSCS) “Phailin (2013)” was the strongest cyclone that hit eastern coast of India Odisha state since supercyclone 1999. But same story casualties not repeated as 1999 where approximately 10 000 fatalities were reported. In case Phailin, a record 1 million people evacuated across 18 villages in both and Andhra Pradesh states to coastal shelters following improved operational forecast guidance benefited from highly skillful accurate numerical model for...

10.1175/ei-d-14-0032.1 article EN other-oa Earth Interactions 2015-11-04

The next generation Hurricane Analysis and Forecast System (HAFS) has been developed recently in the National Oceanic Atmospheric Administration (NOAA) to accelerate improvement of tropical cyclone (TC) forecasts within Unified (UFS) framework. finite-volume cubed sphere (FV3) based convection-allowing HAFS Stand-Alone Regional model (HAFS-SAR) was successfully implemented during Improvement Project (HFIP) real-time experiments for 2019 Atlantic TC season. HAFS-SAR a single large 3-km...

10.3390/atmos11060617 article EN cc-by Atmosphere 2020-06-11

Abstract The Hurricane Weather Research and Forecasting Model (HWRF) was the flagship hurricane model at NOAA’s National Centers for Environmental Prediction 16 years a state-of-the-art tool tropical cyclone (TC) intensity prediction Service across globe. HWRF joint development between NOAA research operations, specifically Modeling Center Atlantic Oceanographic Meteorological Laboratory. Significant support also came from Center, Developmental Testbed University Corporation Atmospheric...

10.1175/bams-d-23-0139.1 article EN other-oa Bulletin of the American Meteorological Society 2024-03-13

Hurricane track forecasting remains a significant challenge due to the complex interactions between atmosphere, land, and ocean. Although AI-based numerical weather prediction models, such as Google Graphcast operation, have significantly improved hurricane forecasts, they currently function atmosphere-only omitting critical land ocean interactions. To investigate impact of feedback, we conducted independent simulations using physics-based WRF experimental model assess how soil moisture...

10.48550/arxiv.2502.01797 preprint EN arXiv (Cornell University) 2025-02-03

Convective cold pools—regions of cooled, dense air formed by evaporating rainfall—play a pivotal role in modulating atmospheric convection, yet their influence on hurricane dynamics remains insufficiently explored, especially real-world simulations. In this study, we investigate the convective pools evolution Hurricane Helene (2024) using modified version Weather Research and Forecasting model (HWRFxUT). Caribbean intensified to become one deadliest hurricanes recent...

10.5194/egusphere-egu25-15340 preprint EN 2025-03-15

Forecasts from the operational Hurricane Weather Research and Forecasting (HWRF)-based ensemble prediction system for Edouard (2014) are analyzed to study differences in both tropical cyclone inner-core structure large-scale environment between rapidly intensifying (RI) nonintensifying (NI) members. An analysis of reveals that as deep convection wraps around downshear side storm upshear-left quadrant RI members, vortex tilt asymmetry reduce rapidly, rapid intensification occurs. For NI stays...

10.1175/jas-d-17-0171.1 article EN Journal of the Atmospheric Sciences 2017-11-03

We present a numerical investigation of the processes that influenced contrasting rapid intensity changes in Tropical Cyclones (TC) Phailin and Lehar (2013) over Bay Bengal. Our emphasis is on significant differences environments experienced by TCs within few weeks consequent their organization vortex-scale convection resulted different changes. The storm-relative proximity, intensity, depth subtropical ridge establishment low-sheared environment for high-sheared Lehar. primary finding here...

10.1038/s41598-019-40332-z article EN cc-by Scientific Reports 2019-03-04

Abstract Idealized coupled tropical cyclone (TC) simulations are conducted to isolate ocean impacts on intensity forecasts. A one-dimensional model is embedded into the Hurricane Weather Research and Forecasting (HWRF) mesoscale atmospheric forecast model. By inserting an initial vortex a horizontally uniform atmosphere above ocean, SST cooling rate becomes dominant large-scale process controlling evolution. Westward storm translation introduced by bodily advecting fields toward east. The...

10.1175/mwr-d-14-00022.1 article EN Monthly Weather Review 2014-11-06

Abstract Idealized and real‐case simulations conducted using the Hurricane Weather Research Forecasting (HWRF) model demonstrate a “top‐down” pathway to secondary eyewall formation (SEF) for tropical cyclones (TCs). For of Rita (2005) Edouard (2014), comparison observations reveals timing overall characteristics simulated SEF appear realistic. An important control top‐down is amount radial‐height distribution hydrometeors at outer radii. Examination into hydrometeor particle fall speed that...

10.1002/2017jd027410 article EN publisher-specific-oa Journal of Geophysical Research Atmospheres 2017-12-13

Abstract The Hurricane Weather Research and Forecasting Model (HWRF) is an operational model used to provide numerical guidance in support of tropical cyclone forecasting at the National Center. HWRF a complex multicomponent system, consisting (WRF) atmospheric coupled Princeton Ocean for Tropical Cyclones (POM-TC), sophisticated initialization package including data assimilation system set postprocessing vortex tracking tools. HWRF’s development centralized Environmental Modeling Center...

10.1175/bams-d-13-00093.1 article EN other-oa Bulletin of the American Meteorological Society 2014-09-23

Abstract The Hurricane Weather Research and Forecasting Model (HWRF) was operationally implemented with a 27-km outer domain 9-km moving nest in 2007 (H007) as tropical cyclone forecast model for the North Atlantic eastern Pacific hurricane basins. During 2012 season, modified version of HWRF (H212), which increased horizontal resolution by adding third (3 km) within nest, replaced H007. H212 thus became first operational running at convection-permitting resolution. In addition, there were...

10.1175/waf-d-14-00098.1 article EN other-oa Weather and Forecasting 2015-03-10

Abstract Improving physical parameterizations in forecast models is essential for hurricane prediction. This study documents the upgrade of horizontal diffusion parameterization Hurricane Weather Research and Forecasting (HWRF) Model evaluates impact this on forecasts. The mixing length Lh was modified based aircraft observations extensive idealized real-case numerical experiments. Following an earlier work by first two authors, who focused understanding how worked HWRF its dynamical...

10.1175/waf-d-17-0097.1 article EN Weather and Forecasting 2018-01-18

Abstract The FV3GFS is the current operational Global Forecast System (GFS) at National Centers for Environmental Prediction (NCEP), which combines a finite-volume cubed sphere dynamical core (FV3) and GFS physics. In this study, used to gain understanding of rapid intensification (RI) tropical cyclones (TCs) in shear. analysis demonstrates importance TC structure complex system like Hurricane Michael, intensified category 5 hurricane over Gulf Mexico despite 20 kt (10 m s −1 ) vertical wind...

10.1175/mwr-d-19-0275.1 article EN Monthly Weather Review 2020-03-12

Abstract This study demonstrates a link between coastal downwelling and tropical cyclone (TC) intensification. We show that increases air‐sea enthalpy (heat, moisture) fluxes ahead of TCs as they approach land, creating conditions conducive to intensification even in the presence typically inhibiting factors like strong vertical wind shear. The uses coupled TC model (HWRF‐B) buoy observations demonstrate developed three 2020 approached land. Results maintained warmer sea‐surface temperatures...

10.1029/2021gl096630 article EN Geophysical Research Letters 2022-05-07

Using the hurricane weather research and forecasting experimental modeling system (HWRFx), researchers examined impact of increased model resolution on performance in a select sample tropical cyclones from 2005 2007 seasons.

10.1109/mcse.2010.121 article EN Computing in Science & Engineering 2010-10-19
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