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An Over-land Aerosol Optical Depth Data Set for Data Assimilation by Filtering, Correction, and Aggregation of Modis Collection 5 Optical Depth Retrievals : Volume 4, Issue 3 (01/03/2011)

By Hyer, E. J.

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Book Id: WPLBN0003975786
Format Type: PDF Article :
File Size: Pages 30
Reproduction Date: 2015

Title: An Over-land Aerosol Optical Depth Data Set for Data Assimilation by Filtering, Correction, and Aggregation of Modis Collection 5 Optical Depth Retrievals : Volume 4, Issue 3 (01/03/2011)  
Author: Hyer, E. J.
Volume: Vol. 4, Issue 3
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Zhang, J., Reid, J. S., & Hyer, E. J. (2011). An Over-land Aerosol Optical Depth Data Set for Data Assimilation by Filtering, Correction, and Aggregation of Modis Collection 5 Optical Depth Retrievals : Volume 4, Issue 3 (01/03/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, USA. MODIS Collection 5 retrieved aerosol optical depth (AOD) over land (MOD04/MYD04) was evaluated using 4 years of matching AERONET observations, to assess its suitability for aerosol data assimilation in numerical weather prediction models. Examination of errors revealed important sources of variation in random errors (e.g., atmospheric path length, scattering angle hot spot), and systematic biases (e.g., snow and cloud contamination, surface albedo bias). A set of quality assurance (QA) filters was developed to avoid conditions with potential for significant AOD error. An empirical correction for surface boundary condition using the MODIS 16-day albedo product captured 25% of the variability in the site mean bias at low AOD. A correction for regional microphysical bias using the AERONET fine/coarse partitioning information increased the global correlation between MODIS and AERONET from r2 = 0.62–0.65 to r2 = 0.71–0.73. Application of these filters and corrections improved the global fraction of MODIS AOD within (0.05 ± 20%) of AERONET to 77%, up from 67% using only built-in MODIS QA. The compliant fraction in individual regions was improved by as much as 20% (South America). An aggregated Level 3 product for use in a data assimilation system is described, along with a prognostic error model to estimate uncertainties on a per-observation basis. The new filtered and corrected Level 3 product has improved performance over built-in MODIS QA with less than a 15% reduction in overall data available for data assimilation.

Summary
An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals

Excerpt
Daley, R. and Barker, E.: Navdas: Formulation and diagnostics, Mon. Weather Rev., 129, 869–883, 2001.; Dee, D. P. and Da Silva, A. M.: Data assimilation in the presence of forecast bias, Q. J. Roy. Meteor. Soc., 124, 269–295, 1998.; Drury, E., Jacob, D. J., Wang, J., Spurr, R. J. D., and Chance, K.: Improved algorithm for modis satellite retrievals of aerosol optical depths over western north america, J. Geophys. Res.-Atmos., 113, D16204 doi:10.1029/2007jd009573, 2008.; Eck, T. F., Holben, B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N. T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols, J. Geophys. Res.-Atmos., 104, 31333–31349, 1999.; Eck, T. F., Holben, B. N., Reid, J. S., Sinyuk, A., Hyer, E. J., O'Neill, N. T., Shaw, G. E., Vande Castle, J. R., Chapin, F. S., Dubovik, O., Smirnov, A., Vermote, E., Schafer, J. S., Giles, D. M., Slutsker, I., Sorokine, M., and Newcomb, W. W.: Optical properties of boreal region biomass burning aerosols in alaska and transport of smoke to arctic regions, J. Geophys. Res., 114, D11201, doi:10.1029/2008JD010870, 2009.; Ferek, R. J., Reid, J. S., Hobbs, P. V., Blake, D. R., and Liousse, C.: Emission factors of hydrocarbons, halocarbons, trace gases and particles from biomass burning in brazil, J. Geophys. Res.-Atmos., 103, 32107–32118, 1998.; Gasso, S. and Stein, A. F.: Does dust from patagonia reach the sub-antarctic atlantic ocean?, Geophys. Res. Lett., 34, L01801, doi:10.1029/2006GL027693, 2007.; Giglio, L.: Characterization of the tropical diurnal fire cycle using virs and modis observations, Remote Sens. Environ., 108, 407–421, 2007.; Gupta, P. and Christopher, S. A.: Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach, J. Geophys. Res.-Atmos., 114, D20205, doi:10.1029/2008jd011497, 2009.; Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: Aeronet – a federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, 1998.; Hollingsworth, A., Engelen, R. J., Textor, C., Benedetti, A., Boucher, O., Chevallier, F., Dethof, A., Elbern, H., Eskes, H., Flemming, J., Granier, C., Kaiser, J. W., Morcrette, J. J., Rayner, P., Peuch, V. H., Rouil, L., Schultz, M. G., Simmons, A. J., and Consortium, G.: Toward a monitoring and forecasting system for atmospheric composition: The gems project, B. Am. Meteorol. Soc., 89, 1147–1164, 2008.; Jin, X., Wu, T. W., Li, L., and Shi, C. X.: Cloudiness characteristics over southeast asia from satellite fy-2c and their comparison to three other cloud data sets, J. Geophys. Res.-Atmos., 114, D17207, doi:10.1029/2008JD011422, 2009.; Kahn, R. A., Nelson, D. L., Garay, M. J., Levy, R. C., Bull, M. A., Diner, D. J., Martonchik, J. V., Paradise, S. R., Hansen, E. G., and Remer, L. A.: Misr aerosol product attributes and statistical comparisons with modis, IEEE T. Geosci. Remote, 47, 4095–4114, 2009.; Kaufman, Y. J., Tanre, D., Remer, L. A., Vermote, E. F., Chu, A., and Holben, B. N.: Operational remote sensing of tropospheric aerosol over land from eos moderate resolution imaging spectroradiometer, J. Geophys. Res.-Atmos., 102, 17051–17067, 1997.; Koren, I., Remer, L. A., Kaufman, Y. J., Rudich, Y., and Martins, J. V.: On the twilight zone between clouds and aerosols, Geophys. Res. Lett., 34, L08805, doi:10.1029/2007GL029253, 2007.; Lary, D. J., Remer

 

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