Title :
Spatial and Temporal Inter-Relationships between Anomalies of Temperature, Moisture, Cloud Cover, and OLR as Observed by AIRS/AMSU on Aqua
Author :
Susskind, Joel ; Molnar, Gyula
Abstract :
AIRS/AMSU is the advanced IR/MW atmospheric sounding system launched on EOS Aqua in May 2002. Products derived from AIRS/AMSU include surface skin temperature and atmospheric temperature profiles; atmospheric humidity profiles, % cloud cover and cloud top pressure, and OLR. Near real time products, starting with September 2002, have been derived from AIRS/AMSU using the AIRS Science Team Version 5 retrieval algorithm. Results in this paper included products through April 2008. The time period studied is marked by a substantial warming trend of Northern Hemisphere Extropical land surface skin temperatures, as well as pronounced El Nintildeo - La Nintildea episodes. These both influence the spatial and temporal anomaly patterns of atmospheric temperature and moisture profiles, as well as of cloud cover and Clear Sky and All Sky OLR. The relationships between temporal and spatial anomalies of these parameters over this time period, as determined from AIRS/AMSU observations, are shown below, with particular emphasis on which contribute significantly to OLR anomalies in each of the tropics and extra-tropics. The ability to match this data represents a good test of a model´s response to El Nintildeo.
Keywords :
El Nino Southern Oscillation; atmospheric humidity; atmospheric radiation; atmospheric temperature; clouds; land surface temperature; remote sensing; AD 2002 05; AD 2002 09; AD 2008 04; AIRS; AIRS Science Team Version 5 retrieval algorithm; AMSU; Clear Sky and All Sky; EOS Aqua; El Nino-La Nina episodes; IR/MW atmospheric sounding system; OLR; atmospheric humidity; atmospheric moisture anomaly; atmospheric temperature anomaly; cloud cover anomaly; cloud top pressure; extropical land surface skin temperatures; spatial-temporal anomaly patterns; Atmospheric modeling; Clouds; Geophysics computing; Humidity; Land surface; Land surface temperature; Moisture; NASA; Skin; Temperature measurement; AIRS/AMSU; Anomalies; Climate data; El Niño; OLR;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780012