HR: 1340h
AN: GC13B-1227 [Abstracts]
TI: Oceanic evaporation and precipitation from remote sensing
AU: * Xing, Y
EM: yxing@gmu.edu
AF: CESOR/SCS George Mason University, MSN 5C3
4400 University Dr., Fairfax, VA 22030
United States
AU: Chiu, L S
EM: lchiu@gmu.edu
AF: CESOR/SCS George Mason University, MSN 5C3
4400 University Dr., Fairfax, VA 22030
United States
AB:
Global oceanic Latent Heat Flux (LHF) is examined using three different remote sensing based products and NCEP reanalysis
data. The remote sensing products include the Goddard Satellite Surface Turbulence/Flux 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). An increase in global average LHF over the period 1992 to 2000 can be observed in all
the data sets. Both wavelet and Empirical Mode Decomposition (EMD) of the LHF time series yield strong signals that
correspond to the increase. Based on linear regression analyses, the increases are 9.4%, 13.0%, 7.3%, and 3.9% for
GSSTF2, J-OFURO, HOAPS2 and NCEP, respectively. Analysis of the remote sensing data in different zonal bands shows that the
increase occurs mainly over 40aS to 40aN. EOF analyses are performed on these data sets. The first EOF of both GSSTF2 and
HOAPS2 is characterized by positive values over most of the area, with negative values over a small area at eastern
equatorial Pacific. The associated time series show a monotonic increase from 1992 to 2000. Therefore the first EOF of GSSTF2
and HOAPS2 is interpreted as an increasing mode, which is not found in J-OFURO. This mode is consistent with other satellite
observations of an enhanced Hadley circulation. The second EOF of all three remote sensing data sets is an ENSO mode, the
correlation between the time series and an SOI are 0.74, 0.71 and 0.59 for GSSTF2, J-OFURO, and HOAPS2, respectively. The
first EOF pattern of NCEP is similar to those derived from remote sensing, but the time series does not show a clear
increase. The second EOF of NCEP reanalyses is an ENSO mode. The correlation between the time series and SOI is 0.61.
Potential error sources of the remote sensing data sets are discussed in order to provide uncertainty estimates for these
huge increases in LHF.
Precipitation is examined for the same period. The land portion of GPCP combined precipitation data shows an increase of
9.2%. On the other hand, oceanic precipitation from PSPDC (Polar Satellite Precipitation Data Center) SSM/I data does not
exhibit any significant change for the period. The results suppoprt the interpreation of an enhanced Hadley circulation and
suggest enhanced atmospheric water vapor transport over ocean to land.
DE: 0480 Remote sensing
DE: 1655 Water cycles (1836)
DE: 1854 Precipitation (3354)
SC: Global Climate Change [GC]
MN: Fall Meeting 2005