HR: 1340h
AN: A43A-0031 [Abstracts]
TI: ENSO Impact on Precipitation Variability Over the Mid-Atlantic States
AU: * El-Askary, H M
EM: helaska@gmu.edu
AF: George Mason University, 4400 University Drive
ST1, #103, 5C3, Fairfax, VA 22030
AU: kAFATOS, M
EM: mkafatos@compton.gmu.edu
AF: George Mason University, 4400 University Drive
ST1, #103, 5C3, Fairfax, VA 22030
AU: Chiu, L
EM: lchiu@gmu.edu
AF: George Mason University, 4400 University Drive
ST1, #103, 5C3, Fairfax, VA 22030
AB:
We have performed Spectral and Empirical Mode Decomposition (EMD) analyses on daily rainfall data from five rain gauges in
Virginia and have indications of substantial ENSO signatures in the data. This study extends our previous work to include
~100 years of monthly rainfall compiled by water divisions in the Mid-Atlantic region. Trend, spectral, and EMD analyses are
performed on the water division data. An Empirical Orthogonal Analysis is performed on the data set to delineate major mode
of variability. Correlation and coherence analyses between the rainfall time series and climate indices such as the
Southern Oscillation index, North Atlantic Oscillation, North Pacific Oscillation, and the Arctic Oscillation are also
performed. Such analysis will extract predictive information on the rainfall patterns and hence allow response to mitigate
interannual climate changes brought about by climate events such as the El Ni¤o/La Nina for the Mid-Atlantic regions. This
work is part of our effort to support the Virginia Access/Middle Atlantic Geospatial Information Consortium VAccess/MAGIC) to
provide information to water resource managers and environmental monitoring agencies. The VAccess/MAGIC is a distributed,
remote sensing data, information and services, virtual center to support the advancement and transfer of remote sensing data
and associated technologies for local, state, and regional application user communities.
DE: 1800 HYDROLOGY
DE: 1610 Atmosphere (0315, 0325)
DE: 1630 Impact phenomena
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting