HR: 1340h
AN: A43D-0119 [Abstracts]
TI: Systematic Validation and Interannual Variability of the GEWEX Surface Radiation Budget Data
AU: * Taiping, T
EM: t.zhang@larc.nasa.gov
AF: AS & M/NASA Langley Research Center, Mail Stop 936
One Enterprise Parkway, Suite 300, Hampton, VA 23681
United States
AU: Stackhouse, P W
EM: Paul.w.stackhouse@nasa.gov
AF: NASA Langley Research Center, Mail Stop 420
21 Langley Boulevard, Hampton, VA 23681
AU: Gupta, S K
EM: s.k.gupta@larc.nasa.gov
AF: AS & M/NASA Langley Research Center, Mail Stop 936
One Enterprise Parkway, Suite 300, Hampton, VA 23681
United States
AU: Cox, S J
EM: s.j.cox@larc.nasa.gov
AF: AS & M/NASA Langley Research Center, Mail Stop 936
One Enterprise Parkway, Suite 300, Hampton, VA 23681
United States
AU: Mikovitz, J C
EM: j.c.mikovitz@larc.nasa.gov
AF: AS & M/NASA Langley Research Center, Mail Stop 936
One Enterprise Parkway, Suite 300, Hampton, VA 23681
United States
AB:
The NASA Surface Radiation Budget (SRB) project, a principal component the Global Energy and Water cycle Experiment (GEWEX)
program of the World Climate Research Programme, has recently produced and archived a global 11-year (1992-2002) climatology
of, among other variables, shortwave (SW) and longwave (LW) surface radiation fluxes using the upgraded version of algorithms
(Version 2.5). This builds from the previous 12-year SRB data for the years 1983-1995 (Version 2.0/2.1) and contains new key
inputs including the Global Earth Observing System (GEOS) Version 4.0.3 meteorological information. The data sets cover the
entire globe with 44016 grids of roughly equal areas, and the resolution is upgraded to 1 deg by 1 deg when the data are
presented to end users. Bulk comparisons show that SRB SW and LW flux estimates are in generally good agreement with BSRN
measurements.
In this paper, SRB time series data are systematically compared with the Baseline Surface Radiation Network (BSRN)
measurement data. The updated BSRN data represent 35 ground stations ranging from the vicinity of Arctic to Antarctic, and
the measurements, made at 1-, 2-, 3- or 5-minute intervals, include both shortwave and longwave radiation at the Earth's
surface. The BSRN data are first processed to generate 3-hourly, 3-hourly-monthly, daily and monthly means before they are
compared to the SRB data on these same time scales. The statistics of the measured and satellite based estimates of the
radiative flux variability are compared in an absolute sense and after the seasonal cycles have been removed. Results are
discussed in terms of the regions in which the sites reside. Larger scale modes of variability are identified using
empirical orthogonal functions (EOF). The results show that the GEWEX SRB data sets contain unmistakable signals that are
closely associated with the El Nino/Southern Oscillations (ENSO) as well as the North Atlantic Oscillations (NAO). These
results are compared to results obtained upon comparing variability of the 1983-1995 data set to SRB estimates over this time
period. Lastly, the uncertainties of the satellite based and measured data sets are considered to speculate on the
requirements for the detection of long-term changes in the surface fluxes at certain sites in relationship to larger and even
global changes.
DE: 1616 Climate variability (1635, 3305, 3309, 4215, 4513)
DE: 1640 Remote sensing (1855)
DE: 3305 Climate change and variability (1616, 1635, 3309, 4215, 4513)
DE: 3315 Data assimilation
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005