S. Kondragunta

发表

Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5.

Yang Liu, C. Paciorek, H. Moreno-Macías, 2008, Environmental science & technology.

Remote sensing of aerosol and radiation from geostationary satellites

Mitchell D. Goldberg, Shobha Kondragunta, Pubu Ciren, 2006 .

RECENT CHANGES TO THE HAZARD MAPPING SYSTEM

R. Draxler, J. Zeng, S. Kondragunta, 2006 .

Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season

R. Draxler, G. Manikin, J. Zeng, 2009 .

Interannual variation in biomass burning and fire seasonality derived from geostationary satellite data across the contiguous United States from 1995 to 2011

D. Roy, Xiaoyang Zhang, S. Kondragunta, 2014 .

Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region

Jun Wang, Xiaoyang Zhang, C. Wiedinmyer, 2014 .

Near real time monitoring of biomass burning particulate emissions (PM2.5) across contiguous United States using multiple satellite instruments

Xiaoyang Zhang, F. Kogan, C. Schmidt, 2008 .

Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States

D. Roy, Xiaoyang Zhang, S. Kondragunta, 2019, Atmospheric Environment.

Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States

D. Roy, Xiaoyang Zhang, S. Kondragunta, 2018 .

Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations

Xiaoyang Zhang, I. Csiszar, S. Kondragunta, 2018 .

Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia

Qingyang Xiao, Robert C. Levy, Shobha Kondragunta, 2015 .

Suomi‐NPP VIIRS aerosol algorithms and data products

Lorraine A. Remer, Shobha Kondragunta, Istvan Laszlo, 2013 .

Improving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithm

I. Laszlo, Hai Zhang, S. Kondragunta, 2020, Atmospheric Measurement Techniques.

The Visible Infrared Imaging Radiometer Suite ( VIIRS ) instrument on board the Suomi

L. Remer, I. Laszlo, Hai Zhang, 2013 .

Dust aerosol index (DAI) algorithm for MODIS

Shobha Kondragunta, Pubu Ciren, P. Ciren, 2014 .

Development of synthetic GOES-R ABI aerosol products

R. Hoff, P. Ciren, Hai Zhang, 2014 .

Preliminary evaluation of S‐NPP VIIRS aerosol optical thickness

Lorraine A. Remer, Shobha Kondragunta, Istvan Laszlo, 2014 .

Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data

Ruiliang Pu, Fuzhong Weng, Peng Gong, 2007 .

SATELLITE-DERIVED PM 2 . 5 EMISSIONS FROM WILDFIRES FOR AIR QULAITY FORECAST

J. D. Tarpley, Xiaoyang Zhang, W. Guo, 2006 .

Vertical Structure of the Anomalous 2002 Antarctic Ozone Hole

A. J. Miller, Tilman Beck, C. Long, 2005 .

An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database

Hongqing Liu, Lorraine A. Remer, Shobha Kondragunta, 2016 .

Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm

L. Remer, P. Ciren, I. Laszlo, 2018, Atmospheric Measurement Techniques.

Potential ozone production following convective transport based on future emission scenarios

G. Stenchikov, R. Dickerson, W. Tao, 1996 .

Development and analysis of a 12-year daily 1-km forest fire dataset acrossNorth America from NOAA/AVHRR data

W. Hao, P. Gong, Zhanqing Li, 2019 .

Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model

R. Kahn, C. Ichoku, E. Hyer, 2020, Journal of Geophysical Research: Atmospheres.

Aerosol Optical Depth ( AOD ) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the Western US

S. Kondragunta, I. Laszlo, A. Lyapustin, 2012 .

Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system

S. Garrigues, N. Bousserez, R. Engelen, 2022, Atmospheric Chemistry and Physics.

Estimation of Biomass Burned Areas Using Multiple-Satellite-Observed Active Fires

Xiaoyang Zhang, Shobha Kondragunta, Brad Quayle, 2011, IEEE Transactions on Geoscience and Remote Sensing.

An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States

Xiaoyang Zhang, S. Kondragunta, Fangjun Li, 2020, Environmental Research Letters.

Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign

Youhua Tang, S. Kondragunta, Hyuncheol Kim, 2017, Geoscientific Model Development.

Toward a US National Air Quality Forecast Capability: Current and Planned Capabilities

R. Draxler, R. Mathur, R. Wayland, 2008 .

Stratosphere-troposphere exchange in a midlatitude mesoscale convective complex

G. Stenchikov, B. Doddridge, R. Dickerson, 1996 .

Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1)

Xiaoyang Zhang, Haiqin Li, G. Grell, 2022, Geoscientific Model Development.

Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications

Xiaoyang Zhang, C. Schmidt, I. Csiszar, 2022, Remote Sensing of Environment.

COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States

Z. Wei, B. McDonald, S. Kondragunta, 2021, Journal of Geophysical Research: Atmospheres.

Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires

Xiaoyang Zhang, R. Volkamer, C. Wiedinmyer, 2020, Geophysical Research Letters.

Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations

T. Chai, S. Kondragunta, Hyun‐cheol Kim, 2020, Atmospheric Chemistry and Physics.

Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere

S. Freitas, P. Saide, E. James, 2022, Communications Earth & Environment.

NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19

J. Szykman, S. Kondragunta, Xinzhou Huang, 2022, Atmospheric Environment.

Use of Environmental Satellite Imagery for Smoke Depiction and Transport Model Initialization

R. Draxler, S. Kondragunta, M. Ruminski, 2007 .

Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S

Yujie Wang, P. Saide, S. Kondragunta, 2022, Remote. Sens..

Comparison of GOES and MODIS Aerosol Optical Depth (AOD) to Aerosol Robotic Network (AERONET) AOD and IMPROVE PM2.5 Mass at Bondville, Illinois

Shobha Kondragunta, Pubu Ciren, Chuanyu Xu, 2009, Journal of the Air & Waste Management Association.

A Geostationary Instrument Simulator for Aerosol Observing System Simulation Experiments

Shobha Kondragunta, Pubu Ciren, Anton Darmenov, 2018, Atmosphere.

A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records

Xiaoyang Zhang, C. Schmidt, S. Kondragunta, 2020 .

Improving predictability of high ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

T. Chai, Xuelei Zhang, T. Berkoff, 2021 .

Estimating forest biomass in the USA using generalized allometric models and MODIS land products

Shobha Kondragunta, Xiaoyang Zhang, S. Kondragunta, 2006 .

Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data

Christine Wiedinmyer, Amber J. Soja, Louisa Emmons, 2008 .

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions

Youhua Tang, L. Lamsal, S. Kondragunta, 2016 .

Validation and expected error estimation of Suomi‐NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET

Brent N. Holben, Shobha Kondragunta, Maksym Petrenko, 2016 .

NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5)

Mark Ruminski, Shobha Kondragunta, Ivanka Stajner, 2017 .

Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)

S. Freitas, M. Sofiev, R. Kahn, 2023, Atmospheric Chemistry and Physics.

Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations

Jun Wang, B. Holben, S. Miller, 2021, Remote Sensing of Environment.

Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign

T. Chai, Xuelei Zhang, T. Berkoff, 2021, Atmospheric Chemistry and Physics.

LIS Ozone Forecasting 1 Improving predictability of high ozone episodes through dynamic boundary conditions , emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study ( LISTOS ) field campaign 5

T. Chai, Xuelei Zhang, T. Berkoff, 2021 .

Nowcasting Applications of Geostationary Satellite Hourly Surface PM2.5 Data.

Hai Zhang, S. Anenberg, S. Kondragunta, 2022, Weather and forecasting.

Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California

Yang Liu, S. Kondragunta, A. Huff, 2022, Remote sensing of environment.

Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States

Xiaoyang Zhang, S. Kondragunta, Fangjun Li, 2021, Geophysical Research Letters.

Tracking Smoke from a Prescribed Fire and Its Impacts on Local Air Quality Using Temporally Resolved GOES-16 ABI Aerosol Optical Depth (AOD)

R. Levy, I. Laszlo, Hai Zhang, 2021 .

Daily and Hourly Surface PM2.5 Estimation From Satellite AOD

Hai Zhang, S. Kondragunta, 2021, Earth and Space Science.

Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data

S. Miller, Hai Zhang, S. Kondragunta, 2020, Remote. Sens..

Air Quality Applications of ABI Aerosol Products from the GOES-R Series

P. Ciren, I. Laszlo, Hai Zhang, 2020 .

Air Quality Forecast Verification Using Satellite Data

Shobha Kondragunta, Raymond M. Hoff, Chieko Kittaka, 2005 .

A cohesive total ozone data set from the SBUV(/2) satellite system

Matthew T. DeLand, Lawrence E. Flynn, A. J. Miller, 2002 .

Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product

Xiaoyang Zhang, Shobha Kondragunta, Fangjun Li, 2020, Remote. Sens..

Near-Real-Time Global Biomass Burning Emissions Product from Geostationary Satellite Constellation

Christopher C. Schmidt, Shobha Kondragunta, Xiaoyang Zhang, 2012 .

Vegetation burned areas derived from multiple satellite-based active fires

Shobha Kondragunta, Xiaoyang Zhang, Xiaoyang Zhang, 2008, Optical Engineering + Applications.

JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP

D. Kleist, A. Tangborn, M. Pagowski, 2023, Journal of Advances in Modeling Earth Systems.

The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions

Vijay Tallapragada, Shobha Kondragunta, Jun Wang, 2017, Geoscientific Model Development.

Burned Area Comparisons Between Prescribed Burning Permits in Southeastern United States and Two Satellite‐Derived Products

Xiaoyang Zhang, A. Russell, M. Odman, 2018 .

Satellite Remote Sensing and Mesoscale Modeling of the 2007 Georgia/Florida Fires

Sundar A. Christopher, Shobha Kondragunta, Thomas A. Jones, 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Development and analysis of a 12-year daily 1km forest fire dataset across North America from NOAA / AVHRR data

W. Hao, P. Gong, Zhanqing Li, 2006 .

Monitoring the Impacts of Wildfires on Forest Ecosystems and Public Health in the Exo-Urban Environment Using High-Resolution Satellite Aerosol Products from the Visible Infrared Imaging Radiometer Suite (VIIRS)

Hai Zhang, Shobha Kondragunta, Amy K Huff, 2015, Environmental health insights.

Aerosol optical depth (AOD) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the western United States

Alexei Lyapustin, Shobha Kondragunta, Raymond M. Hoff, 2012 .

Satellite Fire Products: More Valuable Now Than Ever with Longer Fire Seasons

C. Elvidge, I. Csiszar, S. Kondragunta, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Highly anomalous fire emissions from the 2019–2020 Australian bushfires

Xiaoyang Zhang, S. Kondragunta, Fangjun Li, 2021, Environmental Research Communications.

Satellite Fire Products: More Valuable Now Than Ever with Longer Fire Seasons

Curtis J. Seaman, I. Csiszar, S. Kondragunta, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product

Shobha Kondragunta, Xiaoyang Zhang, S. Kondragunta, 2008 .

Evaluation of the multi‐angle implementation of atmospheric correction (MAIAC) aerosol algorithm through intercomparison with VIIRS aerosol products and AERONET

Shobha Kondragunta, A. Lyapustin, S. Kondragunta, 2017, Journal of geophysical research. Atmospheres : JGR.

Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer measurements over East Asia

Q. Xiao, S. Kondragunta, H. Zhang, 2014 .

Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET

Alexander Smirnov, Alexei Lyapustin, Yujie Wang, 2011 .

Regional air pollution and its radiative forcing: Studies with a single‐column chemical and radiation transport model

G. Stenchikov, R. Dickerson, D. Allen, 2001 .

“Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary observations”

T. Chai, S. Kondragunta, A. Stein, 2020 .

A multi-angle aerosol optical depth retrieval algorithm for geostationary satellite data over the United States

Alexei Lyapustin, Yujie Wang, Shobha Kondragunta, 2011 .

Monitoring Air Quality from Space

S. Kondragunta, 2007 .

Use of hourly Geostationary Operational Environmental Satellite (GOES) fire emissions in a Community Multiscale Air Quality (CMAQ) model for improving surface particulate matter predictions

Sundar A. Christopher, Shobha Kondragunta, Xiaoyang Zhang, 2011 .

GOES Aerosol/Smoke Product (GASP) over North America: Comparisons to AERONET and MODIS observations

Shobha Kondragunta, Pubu Ciren, Kenneth R. Knapp, 2007 .

Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance

S. Kondragunta, R. Frouin, K. Knapp, 2005 .

Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire

Yujie Wang, B. Holben, A. Lyapustin, 2021, Atmospheric Chemistry and Physics.

A SmallSat Concept to Resolve Diurnal and Vertical Variations of Aerosols, Clouds, and Boundary Layer Height

V. Aquila, M. Garay, Zhanqing Li, 2023, Bulletin of the American Meteorological Society.

Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season

Jun Wang, O. Torres, S. Kondragunta, 2021, Frontiers in Remote Sensing.

First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates

Jun Wang, P. Colarco, S. Janz, 2021, Remote Sensing of Environment.

Analysis of GEFS-Aerosols annual budget to better understand the aerosol predictions simulated in the model

Fanglin Yang, G. Grell, S. Mckeen, 2023 .

Development of IDEA product for GOES-R aerosol data

Hai Zhang, Shobha Kondragunta, Raymond M. Hoff, 2009, Optical Engineering + Applications.

Influence of the ozone and water vapor on the GOES Aerosol and Smoke Product (GASP) retrieval

R. Hoff, P. Ciren, Hai Zhang, 2008 .

Total ozone determinations from National Oceanic and Atmospheric Administration operational solar backscattered ultraviolet 2 instrument observations: An update

Matthew T. DeLand, Ernest Hilsenrath, Lawrence E. Flynn, 2001 .

Markers of economic activity in satellite aerosol optical depth data

P. Ciren, I. Laszlo, Hai Zhang, 2023, Environmental Research Letters.

The impact of satellite-derived biomass burning emission estimates on air quality

Christine Wiedinmyer, Shobha Kondragunta, Xiaoyang Zhang, 2008, Optical Engineering + Applications.

The impact of aerosols on solar ultraviolet radiation and photochemical smog.

G. Stenchikov, B. Holben, B. Doddridge, 1997, Science.

Spatio-temporal associations between GOES aerosol optical depth retrievals and ground-level PM 2 . 5 December 18 , 2007

Yang Liu, C. Paciorek, H. Moreno-Macías, 2016 .

A Value Assessment of an Atmospheric Composition Capability on the NOAA Next-Generation Geostationary and Extended Orbits (GEO-XO) Missions

L. Flynn, C. Barnet, O. Cooper, 2020 .

Pronounced increases in nitrogen emissions and deposition due to the historic 2020 wildfires in the western U.S.

Xiaoyang Zhang, S. Kondragunta, Fangjun Li, 2022, Science of the Total Environment.

Applications of the Three-Dimensional Air Quality System to Western U.S. Air Quality: IDEA, Smog Blog, Smog Stories, AirQuest, and the Remote Sensing Information Gateway

R. Hoff, C. Kittaka, J. Engel-Cox, 2009, Journal of the Air & Waste Management Association.

Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region

Jun Wang, Xiaoyang Zhang, C. Wiedinmyer, 2014 .

Evaluation of VIIRS dust detection algorithms over land

Hai Zhang, Shobha Kondragunta, Pubu Ciren, 2018, Journal of Applied Remote Sensing.

Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

P. Colarco, C. Ichoku, S. Anenberg, 2023, The Lancet. Planetary health.

COVID-19 Induced Fingerprints of a New Normal Urban Air Quality in the United States

B. McDonald, S. Kondragunta, D. Goldberg, 2021, Journal of Geophysical Research: Atmospheres.