HR: 15:25h
AN: H33I-08 [Abstracts]
TI: A Merged Satellite Atmospheric Data Set for Hydrology and Climate Studies
AU: * Fetzer, E J
EM: Eric.J.Fetzer@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: Dang, V
EM: Van.Dang@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: de la Torre Juarez, M
EM: Manuel.Delatorrejuarez@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: Irion, F W
EM: William.F.Irion@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: Lambrigtsen, B H
EM: Bjorn.H.Lambrigtsen@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: Read, W G
EM: William.G.Read@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AU: Waliser, D E
EM: Duane.E.Waliser@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91109, United States
AB:
Several of the instruments in the NASA A-Train satellite constellation observe atmospheric water quantities.
These instruments included the Atmospheric Infrared Sounder (AIRS), the Advance Microwave Scanning
Radiometer for EOS (AMSR-E) and the Moderate-resolution Imaging Spectroradiometer (MODIS) all on Aqua, the
Microwave Limb Sounder (MLS) on Aura, the Cloudsat radar, and the Cloud-Aerosol Lidar and Infrared Pathfinder
Satellite Observation (CALIPSO) lidar. AIRS, AMSR-E, MODIS and MLS measure water vapor, while CloudSat,
CALIPSO, MLS AMSR-E, MODIS and AIRS observe a variety of cloud properties, including fraction, top height and
bottom and cloud ice and water distributions. Because these satellites fly in formation as part of the A-Train,
these measurements are made with overlapping spatial coverage and time coincidence of a few minutes or less.
These sampling characteristics preserve the instantaneous relationship between water vapor, cloud liquid, and
cloud ice. We are combining these observations into a long-term data record as part of NASA's Energy and Water
Cycle Study (NEWS) program. The merged data set is providing observational constraints on numerical models
of the hydrologic cycle. Some of the challenges inherent in this work include reconciling similar quantities
observed by different instruments, placing observations from different sampling grids into useful formats,
merging data sets with different height coverage, and distilling relevant quantities from very large data sets of
several years' duration. We also show long-term variability of water vapor observed with this data set.
DE: 0368 Troposphere: constituent transport and chemistry
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1640 Remote sensing (1855)
DE: 1836 Hydrological cycles and budgets (1218, 1655)
SC: Hydrology [H]
MN: 2007 Fall Meeting