HR: 15:15h
AN: A23E-06    [Abstracts]
TI: Trends and EOF Analyses of Oceanic Evaporation Data Sets
AU: * Chiu, L S
EM: lchiu@gmu.edu
AF: Center for Space and Earth Information Science, RM 615, Esther Lee building, Chinese University of Hong Kong, Shatin, NT , Hong Kong
AU: * Chiu, L S
EM: lchiu@gmu.edu
AF: Center for Earth Observing and Space Research, Rm 326, Research I, MSN 6A2, George Mason University, Fairfax, VA 22030, United States
AU: Chokngamwong, R
EM: rchoknga@gmu.edu
AF: Center for Earth Observing and Space Research, Rm 326, Research I, MSN 6A2, George Mason University, Fairfax, VA 22030, United States
AU: Xing, Y
EM: yxing@gmu.edu
AF: Center for Earth Observing and Space Research, Rm 326, Research I, MSN 6A2, George Mason University, Fairfax, VA 22030, United States
AU: Shie, C
EM: shie@agnes.gsfc.nasa.gov
AF: Code 613.1, NASA/Goddard Space Flight Center, Grenbelt, MD 20771, United States
AB: The oceanic fresh water flux (evaporation - precipitation) determines the density of the upper oceans and drives the surface and deep circulations of the oceans. While oceanic precipitation has received much attention due to the success of TRMM and the planned follow-on mission, Global Precipitation Mission (GPM), major research activities in oceanic evaporation has only been revitalized recently. To evaluate the present state of remote sensing oceanic flux products, a comparison between three remotely sensed oceanic evaporation products has been made. These products include the Goddard Satellite Surface Turbulence/Flux data version 2 (GSSTF2), the Japanese Ocean Flux Data Set with Use of Remote Sensing Observations (J-OFURO) and the Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data version 2 (HOAPS2) for the period of overlap. Evaporation from the NCEP reanalysis was also included for model comparison. All data sets show global positive trends, with largest in J-OFURO and least in HAOPS2 and NCEP reanalysis. Orthogonal Function (EOF) Analyses revealed an ENSO signal in all data sets, which is second, in variance explained, to a pattern characterized by opposition of tropical to subtropical changes (Xing, 2006). This first mode is interpreted as an enhancement of the tropical Hadley circulation, which is consistent with model results of enhanced hydrologic cycle of warming scenarios (Chiu and Xing, 2004). As all datasets rely on Special Sensor Microwave Imager (SSM/I) data, these spurious trends may be due to inter-satellite calibration of the SSM/Is. A recent release of the SSM/I data (Version 6) has the spurious trends removed. A comparison of the winds from GSSTF2 and the V6 of Wentz's winds show rather different trend patterns. To enable the use for climate studies, we endorsed the call by Wentz and propose the reprocessing of oceanic flux products using the current version (V6) of SSM/I.
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1655 Water cycles (1836)
DE: 1876 Water budgets
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly