MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG (Collection 004 and 005)
Entry ID:
MYD08_D3
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Summary
Abstract:
MODIS was launched aboard the Aqua satellite on May 04, 2002 (1:30 pm equator crossing time) as part of NASA's Earth Observing System (EOS) mission. MODIS with its 2330 km viewing swath width provides almost daily global coverage. It acquires data in 36 high spectral resolution bands between 0.415 to 14.235 micron with ... spatial
resolutions of 250m(2 bands), 500m(5 bands), and 1000m (29
bands). MODIS sensor counts, calibrated radiances, geolocation
products and all derived geophysical atmospheric and ocean products
are archived at NASA Goddard DAAC and has been made available to
public since April 2000.
This is a level-3 MODIS gridded atmosphere daily global joint product
'MYD08_D3'. It contains daily 1 x 1 degree grid average values of
atmospheric parameters related to atmospheric aerosol particle
properties, total ozone burden, atmospheric water vapor, cloud optical
and physical properties, and atmospheric stability indices. This
product also provides standard deviations, quality assurance weighted
means and other statistically derived quantities for each parameter.
The shortname for this level-3 MODIS atmosphere daily global product
is MYD08_D3 and the principal investigator for this product are MODIS
scientists :
Dr. Yoram Kaufman ( kaufman@climate.gsfc.nasa.gov) for aerosol
retrieval over land;
Dr. Didier Tanre ( didier.tanre@univ-lille1.fr) for aerosol retrieval
over ocean;
Dr. Bo-Cai Gao (gao@rsd.nrl.navy.mil) for cirrus cloud detection;
Dr. Paul Menzel (paulm@ssec.wisc.edu) for cloud top properties ; and
Dr. Michael King(king@climate.gsfc.nasa.gov) for cloud optical
properties.
The level-3 atmosphere daily global product (MYD08_D3) consists of
approximately 500 parameters that includes all statistically derived
quantities. Essentially all level-3 MODIS atmosphere daily global
parameters are derived from the four level-2 MODIS atmosphere products
MYD04_L2, MYD05_L2, MYD06_L2, and MYD07_L2. Statistics are computed
over a 1 degree equal-angle lat-lon grid that spans a 24-hour (0000 to
2400 Greenwich Mean Time) interval. Since the grid cells are 1 degree
by 1 degree, the output grid is always 360 pixels in width and 180
pixels in length.
MYD08_D3 product files are stored in Hierarchical Data Format
(HDF-EOS). Each gridded global parameter is stored as Scientific Data
Sets (SDS) within the file. For browsing and extracting data from
these files, some software are made available at the site.
MYD08_D3 PARAMETERS
Aerosol over Land and Ocean:
Optical Depth (0.55 micron)
Aerosol over Land:
Optical Depth at 0.47 and 0.66 (based on Continental Aerosol Model)
Corrected Optical Depths at 0.47, 0.55, 0.66 mm (based on Dynamic
Aerosol Model)
Corrected Optical Depths at 0.47, 0.55, 0.66 mm for Smoke, Sulfate,
Dust Aerosols
Mass Concentration (based on 0.66 mm)
Angstrom Exponents for Smoke, Sulfate, Dust
Aerosol over Ocean:
Effective Optical Depth at 7 bands (0.47, 0.55, 0.66, 0.87, 1.24,
1.64, 2.13 mm)
Effective Radius, Mass Concentration, Cloud Condensation Nuclei
(based on 0.55 mm)
Ratio: Optical Depth of Small Particles relative to Effective
Optical Depth (0.55 mm)
Asymmetry Factor & Back Scattering Ratio at 7 bands
Angstrom Exponents 1 (based on 0.55 and 0.865 mm) & 2 (based on
0.865 and 2.13 mm)
Ozone:
Total Column Ozone
Water Vapor:
Total Column Precipitable Water Vapor
NIR based (clear, cloudy), IR based (lower, upper levels, total)
Cloud:
Cloud Top Parameters
Cloud Top Pressure, Temperature, and Effective Emissivity(day,night, all)
Cloud Particle Phase
Infrared & Visible based retrievals (day, night, all)
Cloud Optical Thickness and Effective Radius
(water, ice, water + ice, undetermined, all phases)
Cloud Water Path
(liquid, ice, liquid + ice, undetermined, all phases)
Cloud Fraction
Visible and SWIR based (cirrus, contrail, water, ice, water + ice,
undetermined, all phases) & IR based (day, night, all)
Atmospheric State & Stability Indices:
Total -Totals, Lifted Index, K Index
Radiation Parameters:
Cirrus Cloud & Contrail Reflectance
Mean Surface Reflectance for Land (5 bands) and Ocean (7 bands)
Normalized Reflected Flux for Land (0.47 and 0.66 mm) and Ocean (7 bands)
Normalized Transmitted Flux for Land (0.47 and 0.66 mm) and Ocean (7 bands)
Atmosphreic Scattering Angle for Land and Ocean
Quality Assurance (QA) & Statistical Parameters:
Uncertainty in Derived Parameters, Minimum, Maximum, Number of Pixels,
Histograms, Correlation Parameters, QA Weighted, and other
Statistically Derived Parameters
More information about the atmospheric parameters and the
statistically derived parameters of MYD08_D3 product listed in the
table above are available from the MYD08_D3 web site.
The MODIS Daily Product will be used in the simultaneously study of
clouds, water vapor, aerosol , trace gases, land surface and oceanic
properties, as well as the interaction between them and their effect
on the Earth's energy budget and climate. This product will also be
used to investigate seasonal and inter-annual changes in cirrus
(semi-transparent) global cloud cover and cloud phase with
multispectral observations at high spatial resolution.
For more information about the MYD08_D3 product, please visit the
MODIS-Atmosphere site at:
http://modis-atmos.gsfc.nasa.gov/MOD08_D3/ 
Related URL
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Description:
Access Collection 5 data set MYD08_D3 from the LAADS FTP server.
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Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
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N: 90.0
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S: -90.0
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E: 180.0
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W: -180.0
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Data Set Citation
Dataset Originator/Creator:
King, M., Y. Kaufman, P. Menzel, D.Tanre, B. Gao
Dataset Title:
MODIS/Aqua Aerosol Cloud Water Vapor Ozone Daily L3 Global 1Deg CMG
Version:
Collection 4 and 5
Online Resource:
http://modis-atmos.gsfc.nasa.gov/MOD08_D3/
Data Resolution
Latitude Resolution:
1 deg.
Longitude Resolution:
1 deg.
Horizontal Resolution Range:
100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution:
Daily
Temporal Resolution Range:
Daily - < Weekly
Access Constraints
Available to public to gain familiarity with the data format and
parameters.
Distribution
Distribution Media:
FTP
Distribution Size:
15 GB
Distribution Format:
HDF
Fees:
None
Personnel
Role:
DIF AUTHOR
Phone:
301-352-2109
Email:
gang.ye at sigmaspace.com
Role:
INVESTIGATOR
Phone:
202-767-8252
Fax:
202-404-8894
Email:
gao at rsd.nrl.navy.mil
Contact Address:
Naval Research Laboratory
Remote Sensing Division, Code 7212
4555 Overlook Ave., SW
City:
Washington
Province or State:
DC
Postal Code:
20375-5320
Country:
USA
Role:
INVESTIGATOR
Role:
INVESTIGATOR
Phone:
301-614-5636
Fax:
301-614-5620
Email:
michael.d.king at nasa.gov
Contact Address:
NASA
Goddard Space Flight Center
Mailstop 610.0
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Role:
INVESTIGATOR
Phone:
608-264-5325
Fax:
608-262-5974
Email:
paulm at ssec.wisc.edu
Contact Address:
NOAA/NESDIS
Space Science and Engineering Center
University of Wisconsin-Madison
1225 W. Dayton St.
City:
Madison
Province or State:
WI
Postal Code:
53706
Country:
USA
Role:
INVESTIGATOR
Phone:
33 (0) 320337033
Fax:
33 (0)3 20 43 43 42
Email:
tanre at loa.univ-lille1.fr
Contact Address:
Laboratorie d'Optique Atmospherique
Bat. P5, U.S.T. deLille
Villeneuve d'Ascq Cedex
Postal Code:
59655
Country:
FRANCE
Role:
TECHNICAL CONTACT
Phone:
301-731-2917, 1-866-506-6347 (toll-free - US only)
Fax:
301-577-6622
Email:
modapsuso at sigmaspace.com
Contact Address:
LAADS User Support Team
4801 Forbes Boulevard
City:
Lanham
Province or State:
MD
Postal Code:
20706
Country:
USA
Publications/References
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. Tanr?, 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.
Extended Metadata Properties
(Click to view more)
Creation and Review Dates
DIF Creation Date:
2003-04-22
Last DIF Revision Date:
2010-09-22
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