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Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar. ATMOSPHERE 2019. [DOI: 10.3390/atmos10100594] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A 12-year analysis, from 2005 to 2016, of atmospheric aerosol optical properties focusing for the first time on Northeast Brazil (NEB) was performed based on four different remote sensing datasets: the Moderate Resolution Imaging Spectroradiometer (MODIS), the Aerosol Robotic Network (AERONET), the Cloud-Aerosol LIDAR with Orthogonal Polarization (CALIOP) and a ground-based Lidar from Natal. We evaluated and identified distinct aerosol types, considering Aerosol Optical Depth (AOD) and Angström Exponent (AE). All analyses show that over the NEB, a low aerosol scenario prevails, while there are two distinct seasons of more elevated AOD that occur every year, from August to October and January to March. According to MODIS, AOD values ranges from 0.04 to 0.52 over the region with a mean of 0.20 and occasionally isolated outliers of up to 1.21. Aerosol types were identified as sea spray, biomass burning, and dust aerosols mostly transported from tropical Africa. Three case studies on days with elevated AOD were performed. All cases identified the same aerosol types and modeled HYSPLIT backward trajectories confirmed their source-dependent origins. This analysis is motivated by the implementation of an atmospheric chemistry model with an advanced data assimilation system that will use the observational database over NEB with the model to overcome high uncertainties in the model results induced by still unvalidated emission inventories.
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Cheng X, Liu Y, Xu X, You W, Zang Z, Gao L, Chen Y, Su D, Yan P. Lidar data assimilation method based on CRTM and WRF-Chem models and its application in PM 2.5 forecasts in Beijing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 682:541-552. [PMID: 31129542 DOI: 10.1016/j.scitotenv.2019.05.186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 05/11/2019] [Accepted: 05/13/2019] [Indexed: 06/09/2023]
Abstract
A three-dimensional variational (3DVAR) lidar data assimilation method is developed based on the Community Radiative Transfer Model (CRTM) and Weather Research and Forecasting model coupled to Chemistry (WRF-Chem) model. A 3DVAR data assimilation (DA) system using lidar extinction coefficient observation data is established, and variables from the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) mechanism of the WRF-Chem model are employed. Hourly lidar extinction coefficient data from 12:00 to 18:00 UTC on March 13, 2018 at four stations in Beijing are assimilated into the initial field of the WRF-Chem model; subsequently, a 24 h PM2.5 concentration forecast is made. Results indicate that assimilating lidar data can effectively improve the subsequent forecast. PM2.5 forecasts without using lidar DA are remarkably underestimated, particularly during heavy haze periods; in contrast, forecasts of PM2.5 concentrations with lidar DA are closer to observations, the model low bias is evidently reduced, and the vertical distribution of the PM2.5 concentration in Beijing is distinctly improved from the surface to 1200 m. Of the five aerosol species, improvements of NO3- are the most significant. The correlation coefficient between PM2.5 concentration forecasts with lidar DA and observations at 12 stations in Beijing is increased by 0.45, and the corresponding average RMSE is decreased by 25 μg·m-3, which respectively compared to those without DA.
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Affiliation(s)
- Xinghong Cheng
- State Key Lab of Severe Weather, Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Meteorological Observation Center, Chinese Meteorological Administration, Beijing 100081, China
| | - Yuelin Liu
- Key Laboratory of Atmospheric Sounding, Chinese Meteorological Administration, Chengdu 610225, China; College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
| | - Xiangde Xu
- State Key Lab of Severe Weather, Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Wei You
- Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China.
| | - Zengliang Zang
- Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
| | - Lina Gao
- Meteorological Observation Center, Chinese Meteorological Administration, Beijing 100081, China
| | - Yubao Chen
- Meteorological Observation Center, Chinese Meteorological Administration, Beijing 100081, China
| | - Debin Su
- Key Laboratory of Atmospheric Sounding, Chinese Meteorological Administration, Chengdu 610225, China; College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
| | - Peng Yan
- Meteorological Observation Center, Chinese Meteorological Administration, Beijing 100081, China.
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Lee HJ, Jo HY, Kim SW, Park MS, Kim CH. Impacts of atmospheric vertical structures on transboundary aerosol transport from China to South Korea. Sci Rep 2019; 9:13040. [PMID: 31506534 PMCID: PMC6736961 DOI: 10.1038/s41598-019-49691-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 08/27/2019] [Indexed: 11/24/2022] Open
Abstract
To forecast haze pollution episodes caused by high concentrations of long-range transported pollutants emitted in the areas upstream of South Korea, it is crucial to study and identify their behaviour. We analysed the three-dimensional air quality structure in Seoul using ground observation data and aerosol lidar measurements to identify vertical aerosol intrusion into the Korean Peninsula during the spring of 2016. The intrusions were particularly affected by the development of the atmospheric boundary layer (ABL) in the leeward regions. The nocturnal pollutant intrusion into the Korean peninsula via the Yellow Sea was examined using measured data. The pollutants first reached the area above the nocturnal boundary layer (548 ± 180 m) and approached ground level on the following day due to convective mixing depending on the convective ABL growth (1182 ± 540 m) in daytime. These intrusion mechanisms were mostly attributed to extremely high concentrations (i.e. >100 μg m−3) of fine particulate matter in the leeward regions, accounting for four of the total of six cases for which the warnings and alerts were issued in Seoul Metropolitan Area over a year-long period (2016). The horizontal and vertical pathways of the long-range transported pollutants and the atmospheric vertical structure were identified as key factors affecting the surface air quality concentration in the leeward regions.
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Affiliation(s)
- Hyo-Jung Lee
- Department of Atmospheric Sciences, Pusan National University, Busan, 46241, Republic of Korea
| | - Hyun-Young Jo
- Department of Atmospheric Sciences, Pusan National University, Busan, 46241, Republic of Korea
| | - Sang-Woo Kim
- School of Earth and Environmental Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Moon-Soo Park
- Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin, 17035, Republic of Korea
| | - Cheol-Hee Kim
- Department of Atmospheric Sciences, Pusan National University, Busan, 46241, Republic of Korea.
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Dai T, Schutgens NAJ, Goto D, Shi G, Nakajima T. Improvement of aerosol optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral aerosol transport model. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2014; 195:319-329. [PMID: 25017412 DOI: 10.1016/j.envpol.2014.06.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2013] [Revised: 05/20/2014] [Accepted: 06/10/2014] [Indexed: 06/03/2023]
Abstract
A new global aerosol assimilation system adopting a more complex icosahedral grid configuration is developed. Sensitivity tests for the assimilation system are performed utilizing satellite retrieved aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and the results over Eastern Asia are analyzed. The assimilated results are validated through independent Aerosol Robotic Network (AERONET) observations. Our results reveal that the ensemble and local patch sizes have little effect on the assimilation performance, whereas the ensemble perturbation method has the largest effect. Assimilation leads to significantly positive effect on the simulated AOD field, improving agreement with all of the 12 AERONET sites over the Eastern Asia based on both the correlation coefficient and the root mean square difference (assimilation efficiency). Meanwhile, better agreement of the Ångström Exponent (AE) field is achieved for 8 of the 12 sites due to the assimilation of AOD only.
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Affiliation(s)
- Tie Dai
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, China; Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan.
| | | | - Daisuke Goto
- National Institute for Environmental Studies, Tsukuba, Japan
| | - Guangyu Shi
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Teruyuki Nakajima
- Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan
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Shahzad MI, Nichol JE, Wang J, Campbell JR, Chan PW. Estimating surface visibility at Hong Kong from ground-based LIDAR, sun photometer and operational MODIS products. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2013; 63:1098-1110. [PMID: 24151685 DOI: 10.1080/10962247.2013.801372] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Hong Kong's surface visibility has decreased in recent years due to air pollution from rapid social and economic development in the region. In addition to deteriorating health standards, reduced visibility disrupts routine civil and public operations, most notably transportation and aviation. Regional estimates of visibility solved operationally using available ground and satellite-based estimates of aerosol optical properties and vertical distribution may prove more effective than standard reliance on a few existing surface visibility monitoring stations. Previous studies have demonstrated that such satellite measurements correlate well with near-surface optical properties, despite these sensors do not consider range-resolved information and indirect parameterizations necessary to solve relevant parameters. By expanding such analysis to include vertically resolved aerosol profile information from an autonomous ground-based lidar instrument, this work develops six models for automated assessment of surface visibility. Regional visibility is estimated using co-incident ground-based lidar, sun photometer visibility meter and MODerate-resolution maging Spectroradiometer (MODIS) aerosol optical depth data sets. Using a 355 nm extinction coefficient profile solved from the lidar MODIS AOD (aerosol optical depth) is scaled down to the surface to generate a regional composite depiction of surface visibility. These results demonstrate the potential for applying passive satellite depictions of broad-scale aerosol optical properties together with a ground-based surface lidar and zenith-viewing sun photometer for improving quantitative assessments of visibility in a city such as Hong Kong.
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Affiliation(s)
- Muhammad I Shahzad
- The Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hung Hom, Hong Kong.
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Schwartz CS, Liu Z, Lin HC, McKeen SA. Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2011jd017383] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Liu Z, Liu Q, Lin HC, Schwartz CS, Lee YH, Wang T. Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2011jd016159] [Citation(s) in RCA: 139] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Yu H, Chin M, Winker DM, Omar AH, Liu Z, Kittaka C, Diehl T. Global view of aerosol vertical distributions from CALIPSO lidar measurements and GOCART simulations: Regional and seasonal variations. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd013364] [Citation(s) in RCA: 183] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Bian H, Chin M, Kawa SR, Yu H, Diehl T, Kucsera T. Multiscale carbon monoxide and aerosol correlations from satellite measurements and the GOCART model: Implication for emissions and atmospheric evolution. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2009jd012781] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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10
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Kalashnikova OV, Kahn RA. Mineral dust plume evolution over the Atlantic from MISR and MODIS aerosol retrievals. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2008jd010083] [Citation(s) in RCA: 78] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Zhang Y, Fu R, Yu H, Dickinson RE, Juarez RN, Chin M, Wang H. A regional climate model study of how biomass burning aerosol impacts land-atmosphere interactions over the Amazon. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009449] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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12
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Yu H, Remer LA, Chin M, Bian H, Kleidman RG, Diehl T. A satellite-based assessment of transpacific transport of pollution aerosol. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009349] [Citation(s) in RCA: 104] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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13
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Schafer JS, Eck TF, Holben BN, Artaxo P, Duarte AF. Characterization of the optical properties of atmospheric aerosols in Amazônia from long-term AERONET monitoring (1993–1995 and 1999–2006). ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009319] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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14
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Yasunari TJ, Shiraiwa T, Kanamori S, Fujii Y, Igarashi M, Yamazaki K, Benson CS, Hondoh T. Intra-annual variations in atmospheric dust and tritium in the North Pacific region detected from an ice core from Mount Wrangell, Alaska. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd008121] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Teppei J. Yasunari
- Graduate School of Environmental Science; Hokkaido University; Sapporo Japan
| | | | - Syosaku Kanamori
- Graduate School of Environmental Science; Hokkaido University; Sapporo Japan
| | | | | | - Koji Yamazaki
- Graduate School of Environmental Science; Hokkaido University; Sapporo Japan
| | - Carl S. Benson
- Geophysical Institute; University of Alaska Fairbanks; Fairbanks Alaska USA
| | - Takeo Hondoh
- Institute of Low Temperature Science; Hokkaido University; Sapporo Japan
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15
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Matsui T, Masunaga H, Kreidenweis SM, Pielke RA, Tao WK, Chin M, Kaufman YJ. Satellite-based assessment of marine low cloud variability associated with aerosol, atmospheric stability, and the diurnal cycle. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006097] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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16
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Liu H. A global view of aerosols from merged transport models, satellite, and ground observations. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2004jd004695] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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17
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Geogdzhayev IV, Mishchenko MI, Terez EI, Terez GA, Gushchin GK. Regional advanced very high resolution radiometer–derived climatology of aerosol optical thickness and size. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2005jd006170] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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18
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Zhou M. A normalized description of the direct effect of key aerosol types on solar radiation as estimated from Aerosol Robotic Network aerosols and Moderate Resolution Imaging Spectroradiometer albedos. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2005jd005909] [Citation(s) in RCA: 55] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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19
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Ichoku C. Quantitative evaluation and intercomparison of morning and afternoon Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol measurements from Terra and Aqua. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2004jd004987] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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20
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Jeong MJ. Quality, compatibility, and synergy analyses of global aerosol products derived from the advanced very high resolution radiometer and Total Ozone Mapping Spectrometer. ACTA ACUST UNITED AC 2005. [DOI: 10.1029/2004jd004647] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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21
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Wang J, Nair US, Christopher SA. GOES 8 aerosol optical thickness assimilation in a mesoscale model: Online integration of aerosol radiative effects. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd004827] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jun Wang
- Department of Atmospheric Sciences; University of Alabama in Huntsville; Huntsville Alabama USA
| | - U. S. Nair
- Department of Atmospheric Sciences; University of Alabama in Huntsville; Huntsville Alabama USA
| | - Sundar A. Christopher
- Department of Atmospheric Sciences; University of Alabama in Huntsville; Huntsville Alabama USA
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Chin M, Chu A, Levy R, Remer L, Kaufman Y, Holben B, Eck T, Ginoux P, Gao Q. Aerosol distribution in the Northern Hemisphere during ACE-Asia: Results from global model, satellite observations, and Sun photometer measurements. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd004829] [Citation(s) in RCA: 144] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Mian Chin
- Laboratory for Atmospheres; NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - Allen Chu
- Laboratory for Atmospheres; NASA Goddard Space Flight Center; Greenbelt Maryland USA
- Joint Center for Earth Systems Technology; University of Maryland, Baltimore County; Baltimore Maryland USA
| | - Robert Levy
- Laboratory for Atmospheres; NASA Goddard Space Flight Center; Greenbelt Maryland USA
- Science System and Applications, Inc.; Lanham Maryland USA
| | - Lorraine Remer
- Laboratory for Atmospheres; NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - Yoram Kaufman
- Laboratory for Atmospheres; NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - Brent Holben
- Laboratory for Terrestrial Physics; NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - Tom Eck
- Laboratory for Terrestrial Physics; NASA Goddard Space Flight Center; Greenbelt Maryland USA
- Goddard Earth Science and Technology Center; University of Maryland, Baltimore County; Baltimore Maryland USA
| | - Paul Ginoux
- NOAA Geophysical Fluid Dynamics Laboratory; Princeton New Jersey USA
| | - Qingxian Gao
- Chinese Academy of Environmental Science; Beijing China
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Liu Y, Park RJ, Jacob DJ, Li Q, Kilaru V, Sarnat JA. Mapping annual mean ground-level PM2.5concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd005025] [Citation(s) in RCA: 119] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Yang Liu
- Division of Engineering and Applied Sciences; Harvard University; Cambridge Massachusetts USA
| | - Rokjin J. Park
- Department of Earth and Planetary Sciences; Harvard University; Cambridge Massachusetts USA
| | - Daniel J. Jacob
- Department of Earth and Planetary Sciences; Harvard University; Cambridge Massachusetts USA
| | - Qinbin Li
- Department of Earth and Planetary Sciences; Harvard University; Cambridge Massachusetts USA
| | - Vasu Kilaru
- National Exposure Research Laboratory; U.S. Environmental Protection Agency; Research Triangle Park North Carolina USA
| | - Jeremy A. Sarnat
- Department of Environmental Health; Harvard School of Public Health; Boston Massachusetts USA
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Malm WC, Schichtel BA, Pitchford ML, Ashbaugh LL, Eldred RA. Spatial and monthly trends in speciated fine particle concentration in the United States. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd003739] [Citation(s) in RCA: 271] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- William C. Malm
- Air Resources Division; National Park Service, Colorado State University-Cooperative Institute for Research in the Atmosphere; Fort Collins Colorado USA
| | - Bret A. Schichtel
- Air Resources Division; National Park Service, Colorado State University-Cooperative Institute for Research in the Atmosphere; Fort Collins Colorado USA
| | - Marc L. Pitchford
- Air Resources Laboratory; NOAA, Desert Research Institute; Las Vegas Nevada USA
| | - Lowell L. Ashbaugh
- Crocker Nuclear Laboratory; University of California; Davis California USA
| | - Robert A. Eldred
- Crocker Nuclear Laboratory; University of California; Davis California USA
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25
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Yu H, Dickinson RE, Chin M, Kaufman YJ, Zhou M, Zhou L, Tian Y, Dubovik O, Holben BN. Direct radiative effect of aerosols as determined from a combination of MODIS retrievals and GOCART simulations. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd003914] [Citation(s) in RCA: 103] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Hongbin Yu
- School of Earth and Atmospheric Sciences; Georgia Institute of Technology; Atlanta Georgia USA
| | - R. E. Dickinson
- School of Earth and Atmospheric Sciences; Georgia Institute of Technology; Atlanta Georgia USA
| | - M. Chin
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - Y. J. Kaufman
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - M. Zhou
- School of Earth and Atmospheric Sciences; Georgia Institute of Technology; Atlanta Georgia USA
| | - L. Zhou
- School of Earth and Atmospheric Sciences; Georgia Institute of Technology; Atlanta Georgia USA
| | - Y. Tian
- School of Earth and Atmospheric Sciences; Georgia Institute of Technology; Atlanta Georgia USA
| | - O. Dubovik
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | - B. N. Holben
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
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