AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign.AERONET is supported by NASA's Earth Observing ... System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and PHOTON and greatly expanded by AEROCAN (the Canadian sun-photometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (Cloud-screened and quality-assured). (CAUTION: Data presented in the real time data version is unscreened and may not have final calibration reprocessing.) For each site there is a Principal Investigator (PI), the person responsible for deployment, maintenance and data collection. The PI is entitled to be informed of any use of that site data.NOTICE TO NON-AERONET INVESTIGATORS: To maintain the integrity of the data base and fairness to the individuals who have contributed, use of these data for publication requires an offer of authorship to the AERONET PI(s).
301-731-2917, 1-866-506-6347 (toll-free - US only)
modapsuso at sigmaspace.com
LAADS User Support Team
4801 Forbes Boulevard
Province or State:
Ackerman, S. K. Strabala, P. Menzel, R. Frey, C. Moeller, and L. Gumley, 1998: Discriminating clear sky from clouds with MODIS. J. Geophys. Res., 103, 32141-32157
Ackerman, S. A., W. L. Smith and H. E. Revercomb, 1990: The 27-28 October 1986 FIRE IFO cirrus case study: spectral properties ... of cirrus clouds in the 8-12 micron window. Mon. Wea. Rev., 118, 2377-2388.
Chu, D. A., K. Strabala, S. Platnick, E. Moody, M. King, S. Mattoo, R. Hucek, and B. Ridgway, 2000: MODIS Atmosphere QA Plan. Version 2.2 , NASA Goddard Space Flight Center, 46 pp.
Chu, D. A., Y. J. Kaufman, L. A. Remer, and B. N. Holben,1998: Remote sensing of smoke from MODIS Airborne Simulator during SCAR-B experiment. Journal of Geophysical Research, 103, 31979-31988.
Gao, B. C., and Y. J. Kaufman.1998: The MODIS Near-infrared Water Vapor Algorithm, Algorithm Theoretical Basis Document,ATBD-MOD-03, NASA Goddard Space Flight Center,25 pp.
Gao, B. C. , and Y. J. Kaufman,1997: MODIS Total Precipitable Water, MTPE EOS Data Products Handbook,93-94.
Gao, B. -C, A. F. H. Goetz, and W. J. Wiscombe, 1993: Cirrus detection from Airborne Imaging Radiometer using 1.38 micron water vapor band. Geophys. Res. Letter, 4,301-304.
Gao, B. C., and Alexander F. H. Goetz,1990: Column Atmospheric Water Vapor and Vegetation Liquid Water Retrievals From Airborne Imaging Spectrometer Data, J. Geophys. Res., 95, 3549-3564.
Kaufman, Y. J., and D. Tanre,1998: Algorithm For Remote Sensing of Tropospheric Aerosol from MODIS, Algorithm Theoretical Basis Document, ATBD-MOD-02, NASA Goddard Space Flight Center,85 pp.
Kaufman, Y. J., and D. Tanre,1997: MODIS Aerosol Product, in MTPE EOS Data Products Handbook,107-108.
Kaufman, Y. J., D. Tanre, L. Remer, E. F.Vermote, A. Chu, & B. N. Holben, 1997: Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS. Journal of Geophysical Research, 102(14), 17051-17068.
Kaufman, Y. J., and B.-C. Gao, Remote sensing of water vapor in the near IR from EOS/MODIS, IEEE Trans. Geosci. Remote Sensing,, 30, 871-884, 1992.
King, M., Y. Kaufman, P. Menzel, D.Tanre, B. Gao, 1999: MODIS Atmosphere Validation Plan, NASA Goddard Space Flight Center, 48 pp.
King, M. D., S. C. Tsay, S. E. Platnick, M. Wang, and K. Liou, 1997: Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective Particle Radius, and Thermodynamic Phase , Algorithm Theoretical Basis Document, ATBD-MOD-05, NASA Goddard Space Flight Center,
King, M. D., W. P. Menzel, P. S. Grant, J. S. Myers, G. T. Arnold, S. E. Platnick, L. E.Gumley, S. C. Tsay, C. C. Moeller, M. Fitzgerald, K. S. Brown and F. G.Osterwisch, 1996: Airborne scanning spectrometer for remote sensing of cloud, aerosol, water vapor and surface properties. J. Atmos. Oceanic Technol.,13, 777^?794.
King, M. D., Y. J. Kaufman, W. P. Menzel and D. Tanre, 1992: Remote sensing of cloud, aerosol and water vapor properties from the Moderate Resolution Imaging Spectrometer (MODIS). IEEE Trans. Geosci. Remote Sens., 30, 2^?27.
King, M. D., 1987: Determination of the scaled optical thickness of clouds from re-flected solar radiation measurements. J. Atmos. Sci., 44, 1734^?1751.
King, M. D., M. G. Strange, P. Leone and L. R. Blaine, 1986: Multiwavelength scanningradiometer for airborne measurements of scattered radiation within clouds. J. Atmos. Oceanic Technol., 3, 513^?522.
King, M. D., 1981: A method for determining the single scattering albedo of clouds through observation of the internal scattered radiation field. J. Atmos.Sci., 38, 2031^?204.
Menzel, W. P., and L. E. Gumley, 1998: MODIS Atmospheric Profiles Retrieval Algorithm Theoretical Basis Document. ATBD-MOD-07, NASA Goddard Space Flight Center, pp.
Menzel, W. P.,and L. E. Gumley, 1997:MODIS Atmospheric Profiles ,in MTPE EOS Data Products Handbook, pp 164-166.
Menzel, P., and M. King, 1997:MODIS Cloud Product, in MTPE EOS Data Products Handbook,109-111.
Menzel, P., and K. Strabela. 1997: Cloud Top Properties and Cloud Phase, Algorithm Theoretical Basis Document. ATBD-MOD-04, NASA Goddard Space Flight Center,56 pp.
Nakajima, T., M. D. King , J. D. Spinhirne and L. F. Radke, 1991: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part II: Marine stratocumulus observations. J. Atmos. Sci., 48, 728^?750.
Nakajima, T., and M. D. King, 1990: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part I: Theory. J. Atmos. Sci., 47, 1878^?1893.
Remer, L. A., Y. J. Kaufman, and B. N. Holben, 1996: The size distribution of ambient aerosol particles: Smoke vs. urban/industrial aerosol. Global biomass burning. Cambridge MA: MIT Press.
Rossow, W. B., and L.C. Gardner, 1993: Cloud detection using satellite measurements of infrared and visible radiances for ISCCP, J. Climate, 6, 2341-2369.
Strabala, K. I., S. A. Ackerman and W. P. Menzel, 1994: Cloud properties inferred from 8-12 micron data. J. Appl. Meteor, 33, No. 2, 212-229.
Tanre, D., Y. J. Kaufman, M. Herman, and S. Mattoo, 1997: Remote
sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances. Journal of Geophysical Research, 102, 16971-16988.
Tanre, D., M. Herman, and Y. J. Kaufman, 1996: Information on aerosol size distribution contained in solar reflected radiances. Journal of Geophysical Research-Atmospheres, 101, 19043-19060.