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Uses of AIRS Data for Weather, Climate and Atmospheric Composition. Eric Fetzer Jet Propulsion Laboratory / California Institute of Technology Satellite Hyperspectral Sensor Workshop, University of Miami March 29 -31, 2011. In Memory of Dr. Mous Chahine AIRS Science Team Leader and Friend.
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Jet Propulsion Laboratory / California Institute of Technology
Satellite Hyperspectral Sensor Workshop, University of Miami
March 29 -31, 2011
Spacecraft – Instruments:
EOS Aqua – AIRS/AMSU/HSB
Launch Date: May 4, 2002
Launch Vehicle: Boeing Delta II, Intermediate ELVMission Life: 6 years
Risk Class: A
Instruments Operational: August 2002
Team Leader: Moustafa T. Chahine
Cloud and Water Vapor Processes
Greenhouse Gas Forcing
Atmospheric Water Vapor
AEW 1AIRS Improves Weather Operations and Research
AIRS Research Validates Models
NCEP Operational Improvement
6 hrs on 6 day forecast
J. LeMarshall, JCSDA
J. Fu, U of Hawaii
Regional Forecast Improvement
NOAA Hurricane Center
Saharan Air Layer Hurricane Suppression
J. Dunion, NOAA
B. Zavodsky, NASA SPoRT
Water Vapor Vertical Climatology(Pierce, Scripps)
Outgoing Longwave Radiation
(Huang, Univ. of Michigan)
Influence of Madden-Julian Oscillation on AIRS CO2
Contour line: TRMM Rain
AIRS CO2 data are modulated by the Madden-Julian Oscillation.
The peak-to-peak amplitude of the MJO signal is ~ 1 ppm.
Li et al. [PNAS, 2010]
Major Impact to Tropical Cyclone Nargis Hindcast
5 of the 7 forecasts’
error at landfall is
less than 50km
AIRS Vis Image: Nargis, May 1, 2008
Reale, O., W. K. Lau, J. Susskind, E. Brin, E. Liu, L. P. Riishojgaard, M. Fuentes, and R. Rosenberg (2009), AIRS impact on the analysis and forecast track of tropical cyclone Nargis in a global data assimilation and forecasting system, Geophys. Res. Lett., 36, L06812, doi:10.1029/2008GL037122.http://www.agu.org/journals/gl/gl0906/2008GL037122/
Good landfall location
Good landfall timing
Gangale, G., A. J. Prata, and L. Clarisse (2009), The infrared spectral signature of volcanic ash determined from high-spectral resolution satellite measurements, Remote Sensing of Environment, 114(2), 414-425.
Sub Gridscale Resolution Needed to Constrain Cloud Physics Parameterizations
Bretherton et al (2004)
AIRS Yield and Accuracy Degrade Near Land Surface
One Month August 2005 Cloud-cleared
ν = 1095 cm-1
T. Pagano (JPL)
One Month August August 2003 Cloud-Free Scenes
ν = 1205 cm-1
Land cases limited by inadequate surface emissivity knowledge.
S. Hook (JPL)
Joel Susskind, 2008
Fine Scale Structure Cumulus Boundary Layers Needed for Improved Models
Small values of cloud cover ~ 5-30%
Stevens et al (2006)
Low cloud cover, deeper boundary layers and smoother vertical structures More detailed information from IR/MW sounding
AIRS Support Product provides realistic info on vertical structure