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Examples of Atmospheric Applications of Terra MODIS at the University of WisconsinMadison

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comparisons are made with GOES and AMSU/HIRS. UW MODIS QA web site ... profiles from satellite sounder measurements using discrepancy principle. ... – PowerPoint PPT presentation

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Title: Examples of Atmospheric Applications of Terra MODIS at the University of WisconsinMadison


1
Examples of Atmospheric Applications of Terra
MODIS at the University of Wisconsin-Madison
Cooperative Institute for Meteorological
Satellite Studies http//cimss.ssec.wisc.edu
Cooperative Institute for Meteorological
Satellite Studies
2
MODIS atmospheric investigations at UW (global
products generated on the UW SCF) 1 km water
vapor multi-spectral cloud mask cloud heights
with CO2 slicing cloud phase with tri-spectral
window atmospheric temperatures Total Column
Water Vapor Total column Ozone comparisons
are made with GOES and AMSU/HIRS UW MODIS QA
web site http//cimss.ssec.wisc.edu/modis1/modis1
.html Progress on Direct Broadcast International
MODIS/AIRS Processing Package
3
MODIS 1 km resolution reveals fine-scale structure
4
Cloud Mask Objective For every 1000 m pixel,
determine whether the field of view is obstructed
(usually by cloud). Operate day and night
globally. Method Combination of spectral tests
using visible, near-infrared, and infrared bands.
Fuzzy thresholds are used. Result Categories
Confident Clear, Probably Clear, Uncertain,
Cloudy. Ackerman, S. A. et al. 1998
Discriminating clear sky from clouds with MODIS.
J. Geophys. Res., 103, 32141-32157.
5
MODIS 2000/09/05-08 Band 1 (0.66 µm) Daytime
Clear sky Reflectance
6
MODIS 2000/09/05-08 Band 31 (11.0 µm) Daytime
Clear sky Brightness Temperature
7
MODIS 2000/09/05-08 Band 1, 4, 3 (R/G/B) Daytime
Clear sky Reflectance Composite
8
Atmospheric Profiles Objective Retrieve
profiles of atmospheric temperature and water
vapor for every 5 x 5 box of 1000 m FOVs where at
least 5 FOVs are clear. Also retrieve total
column ozone. Method Statistical regression
retrieval (for efficiency at launch). Physical
simultaneous retrieval (post launch). Products
Temperature and water vapor at 20 atmospheric
levels (sampled from 101). Total column ozone and
precipitable water. Li, J. and H. L. Huang,
1999 Retrieval of atmospheric profiles from
satellite sounder measurements using discrepancy
principle. Appl. Opt., 38, 916-923.
9
GOES vs. MODIS 2000/06/30 1600 UTC Total Ozone
(Dobsons)
10
MODIS 2000/09/05-08 Daytime Total Ozone (Dobson
Units)
11
Earth Probe TOMS 2000/09/05 Total Ozone (Dobson
Units)
12
GOES vs. MODIS 2000/06/30 1600 UTC Total
Precipitable Water (mm)
13
MODIS 2000/09/05-08 Daytime Total Precipitable
Water (cm) values over land not shown to
facilitate comparison with AMSU
14
NOAA-15 AMSU-A 2000/09/05 Daytime Total
Precipitable Water (mm)
15
MODIS 2000/09/05-08 Daytime 850 hPa Temperature
(K)
16
NOAA-15 AMSU-A 2000/09/05 Daytime 850 hPa
Temperature (K)
17
MODIS 2000/08/23 500 hPa Temperature (K)
18
NOAA-15 AMSU-A 2000/08/23 500 hPa Temperature (K)
19
Cloud Top Properties Objective Retrieve cloud
top properties for every 5 x 5 box of 1000 m FOVs
where at least 5 FOVs are cloudy. Method
Longwave infrared CO2 slicing tri-spectral for
cloud phase. Products Cloud top pressure and
temperature Cloud fraction and effective
emissivity Cloud phase (water, ice,
mixed). Frey, R. A. et al, 1999 A comparison of
cloud top heights computed from airborne lidar
and MAS radiance data. J. Geophys. Res., 104,
24547-24555.
20
MODIS 2000/03/12 1730 UTC Cloud Mask
snow
Cleargreen, cloudwhite, uncertainred
21
MODIS 2000/03/12 1730 UTC Cloud Top Pressure
22
MODIS 2000/09/05-08
Cloud top Pressure
Cloud top Temperature
Cloud Fraction
Cloud Effective Emissivity
23
MODIS 2000/09/05-08 Percentage Water Cloud
24
MODIS 2000/09/05-08 Percentage Ice Cloud
25
  • International MODIS/AIRS Processing Package
  • Goal
  • Transform direct broadcast Level-0 data
    (initially from MODIS) to calibrated geolocated
    radiances (Level-1B).
  • IMAPP Features
  • Ported to a range of platforms (IRIX, SunOS,
    AIX, HPUX, Linux),
  • Only tool kit required is NCSA HDF 4.1r3,
  • Processing environment is greatly simplified,
  • Downlinked or definitive ephemeris/attitude data
    may be used,
  • Passes of arbitrary size may be processed,
  • Available at no cost licensed under GNU GPL.
  • Available from
  • http//cimss.ssec.wisc.edu/gumley/IMAPP/IMAPP.htm
    l

26
EOS Direct Broadcast Groundstation
TeraScan SX-EOS 4.4 m antenna First data
acquired 2000/08/18
Overpass prediction 2000/10/13
27
MODIS Band 2 250 meter resolution UW-Madison
Direct Broadcast 2000/10/13 1559 UTC
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