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Featured researches published by Allen Chu.


Journal of Geophysical Research | 1997

Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer

Yoram J. Kaufman; D. Tanré; L. A. Remer; Eric F. Vermote; Allen Chu; Brent N. Holben

Daily distribution of the aerosol optical thickness and columnar mass concentration will be derived over the continents, from the EOS moderate resolution imaging spectroradiometer (MODIS) using dark land targets. Dark land covers are mainly vegetated areas and dark soils observed in the red and blue channels; therefore the method will be limited to the moist parts of the continents (excluding water and ice cover). After the launch of MODIS the distribution of elevated aerosol concentrations, for example, biomass burning in the tropics or urban industrial aerosol in the midlatitudes, will be continuously monitored. The algorithm takes advantage of the MODIS wide spectral range and high spatial resolution and the strong spectral dependence of the aerosol opacity for most aerosol types that result in low optical thickness in the mid-IR (2.1 and 3.8 pm). The main steps of the algorithm are (1) identification of dark pixels in the mid-IR; (2) estimation of their reflectance at 0.47 and 0.66 pm; and (3) derivation of the optical thickness and mass concentration of the accumulation mode from the detected radiance. To differentiate between dust and aerosol dominated by accumulation mode particles, for example, smoke or sulfates, ratios of the aerosol path radiance at 0.47 and 0.66 pm are used. New dynamic aerosol models for biomass burning aerosol, dust and aerosol from industrial/urban origin, are used to determine the aerosol optical properties used in the algorithm. The error in the retrieved aerosol optical thicknesses, r,, is expected to be AT, = 0.05 5 0.27,. Daily values are stored on a resolution of 10 X 10 pixels (1 km nadir resolution). Weighted and gridded 8-day and monthly composites of the optical thickness, the aerosol mass concentration and spectral radiative forcing are generated for selected scattering angles to increase the accuracy. The daily aerosol information over land and oceans (Tunr& et al., this issue), combined with continuous aerosol remote sensing from the ground, will be used to study aerosol climatology, to monitor the sources and sinks of specific aerosol types, and to study the interaction of aerosol with water vapor and clouds and their radiative forcing of climate. The aerosol information will also be used for atmospheric corrections of remotely sensed surface reflectance. In this paper, examples of applications and validations are provided.


Journal of Geophysical Research | 2006

Satellite-observed pollution from Southern Hemisphere biomass burning.

David P. Edwards; Louisa Kent Emmons; John C. Gille; Allen Chu; J.-L. Attié; L. Giglio; S. W. Wood; James M. Haywood; Merritt N. Deeter; S. T. Massie; Daniel Charles Ziskin; James R. Drummond

Biomass burning is a major source of pollution in the tropical Southern Hemisphere, and fine mode carbonaceous particles are produced by the same combustion processes that emit carbon monoxide (CO). In this paper we examine these emissions with data from the Terra satellite, CO profiles from the Measurement of Pollution in the Troposphere (MOPITT) instrument, and fine-mode aerosol optical depth (AOD) from the Moderate-Resolution Imaging Spectroradiometer (MODIS). The satellite measurements are used in conjunction with calculations from the MOZART chemical transport model to examine the 2003 Southern Hemisphere burning season with particular emphasis on the months of peak fire activity in September and October. Pollutant emissions follow the occurrence of dry season fires, and the temporal variation and spatial distributions of MOPITT CO and MODIS AOD are similar. We examine the outflow from Africa and South America with emphasis on the impact of these emissions on clean remote regions. We present comparisons of MOPITT observations and ground-based interferometer data from Lauder, New Zealand, which indicate that intercontinental transport of biomass burning pollution from Africa often determines the local air quality. The correlation between enhancements of AOD and CO column for distinct biomass burning plumes is very good with correlation coefficients greater than 0.8. We present a method using MOPITT and MODIS data for estimating the emission ratio of aerosol number density to CO concentration which could prove useful as input to modeling studies. We also investigate decay of plumes from African fires following export into the Indian Ocean and compare the MOPITT and MODIS measurements as a way of estimating the regional aerosol lifetime. Vertical transport of biomass burning emissions is also examined using CO profile information. Low-altitude concentrations are very high close to source regions, but further downwind of the continents, vertical mixing takes place and results in more even CO vertical distributions. In regions of significant convection, particularly in the equatorial Indian Ocean, the CO mixing ratio is greater at higher altitudes, indicating vertical transport of biomass burning emissions to the upper troposphere.


Archive | 1998

Algorithm for Remote Sensing of Tropospheric Aerosol from MODIS

Yoram Kaufman; D. Tanré; Allen Chu; Shana Mattoo; Lorraine A. Remer


Journal of Geophysical Research | 2004

Aerosol distribution in the Northern Hemisphere during ACE‐Asia: Results from global model, satellite observations, and Sun photometer measurements

Mian Chin; Allen Chu; Robert C. Levy; Lorraine A. Remer; Yoram J. Kaufman; Brent N. Holben; T. F. Eck; Paul Ginoux; Qingxian Gao


Archive | 1997

Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS

Yoram Kaufman; D. Tanré; Lorraine A. Remer; Eric F. Vermote; Allen Chu; Brent N. Holben


Journal of Geophysical Research | 2008

AIRS views transport from 12 to 22 July 2004 Alaskan/Canadian fires: Correlation of AIRS CO and MODIS AOD with forward trajectories and comparison of AIRS CO retrievals with DC‐8 in situ measurements during INTEX‐A/ICARTT

William Wallace McMillan; Juying Warner; M. M. Comer; Eric Maddy; Allen Chu; L. C. Sparling; Edwin W. Eloranta; Raymond M. Hoff; G. W. Sachse; Christopher D. Barnet; I. Razenkov; Walter Wolf


Archive | 2006

Remote Sensing of Aerosol and Chemical Gases, Model Simulation/Assimilation, and Applications to Air Quality

Allen Chu; James J. Szykman; Shobha Kondragunta


Archive | 2009

Validation of satellite overland retrievals of AOD at northern high latitudes with coincident measurements from airborne sunphotometer, lidar, and in situ sensors during ARCTAS

J. M. Livingston; Yohei Shinozuka; J. Redemann; Philip B. Russell; Robert R. Johnson; Antony D. Clarke; S. G. Howell; Cameron Stuart McNaughton; Sandra Freitag; Vladimir N. Kapustin; Richard A. Ferrare; Chris A. Hostetler; John Hair; Omar Torres; Pepijn Veefkind; Lorraine A. Remer; Seema Mattoo; Richard Levy; Allen Chu; Ralph A. Kahn; Michael Davis


Archive | 2007

Evaluating Treatments of Aerosol Optical Properties and their Effect on Radiative Forcing using MILAGRO Measurements

Jerome D. Fast; James C. Barnard; Lawrence I. Kleinman; Stephen R. Springston; Richard A. Ferrare; Chris A. Hostetler; John Hair; Allen Chu; Andrea D. A. Castanho; Luisa T. Molina; Georg A. Grell; Steven Elbert Peckham


Archive | 2006

Integration of Satellite, Modeled, and Ground Based Aerosol Data for use in Air Quality and Public Health Applications

Victor G. Garcia; Shobha Kondragunta; David Holland; Fred Dimmick; Vickie Boothe; James J. Szykman; Allen Chu; Chieko Kittaka; Jassim A. Al-Saadi; Jill A. Engel-Cox; Raymond M. Hoff; Ratree P. Wayland; S. Trivikrama Rao; Lorraine A. Remer

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Yoram Kaufman

Science Applications International Corporation

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