TITLE

Principal Component Analysis of the Summertime Winds over the Gulf of California: A Gulf Surge Index

AUTHOR(S)
Bordoni, Simona; Stevens, Bjorn
PUB. DATE
November 2006
SOURCE
Monthly Weather Review;Nov2006, Vol. 134 Issue 11, p3395
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
A principal component analysis of the summertime near-surface Quick Scatterometer (QuikSCAT) winds is used to identify the leading mode of synoptic-scale variability of the low-level flow along the Gulf of California during the North American monsoon season. A gulf surge mode emerges from this analysis as the leading EOF, with the corresponding principal component time series interpretable as an objective index for gulf surge occurrence. This index is used as a reference time series for regression analysis and compositing meteorological fields of interest, to explore the relationship between gulf surges and precipitation over the core and marginal regions of the monsoon, as well as the manifestation of these transient events in the large-scale circulation. It is found that, although seemingly mesoscale features confined over the Gulf of California, gulf surges are intimately linked to patterns of large-scale variability of the eastern Pacific ITCZ and greatly contribute to the definition of the northward extent of the monsoonal rains.
ACCESSION #
23580162

 

Related Articles

  • Principal component analysis of satellite-observed outgoing long-wave radiation during the monsoon period (June—September) over India. Singh, C. V. // Theoretical & Applied Climatology;2006, Vol. 84 Issue 4, p207 

    In this study, Principal Component Analysis (PCA) has been used to identify the major modes of the outgoing long-wave radiation data for the period (1979–2002) during the Indian monsoon period (June–September), using seasonal mean values over the Indian region covering 143 grid...

  • Using Sounding Data to Detect Gulf Surges during the North American Monsoon. Dixon, P. Grady // Monthly Weather Review;Oct2005, Vol. 133 Issue 10, p3047 

    Periodic surges of moisture from the Gulf of California are considered to be partly responsible for widespread showers and thunderstorms across the deserts of Arizona during the summer monsoon season. Presently, the primary method for detecting these surges is to look for changes in the surface...

  • Reproducibility and predictability of the Asian summer monsoon in the ECHAM4-GCM. Cherchi, A.; Navarra, A. // Climate Dynamics;Feb2003, Vol. 20 Issue 4, p365 

    The mean evolution of the Asian summer monsoon and its interannual variability have been studied using three simulations (from 1961 to 1994) with the ECHAM4 General Circulation Model (GCM). The results have been compared with observational data and with two reanalyses data sets: the ECMWF...

  • Predictability Studies of the Intraseasonal Oscillation with the ECHAM5 GCM. Liess, Stefan; Waliser, Duane E.; Schubert, Siegfried D. // Journal of the Atmospheric Sciences;9/1/2005, Vol. 62 Issue 9, p3320 

    Our ability to predict active and break periods of the Asian summer monsoon is intimately tied to our ability to predict the intraseasonal oscillation (ISO). The present study analyzes the upper limit of potential predictability of the northern summer ISO, as it is simulated by the ECHAM5...

  • The Signature of the Midlatitude Tropospheric Storm Tracks in the Surface Winds. Booth, James F.; Thompson, LuAnne; Patoux, Jérôme; Kelly, Kathryn A.; Dickinson, Suzanne // Journal of Climate;Mar2010, Vol. 23 Issue 5, p1160 

    Storm-track analysis is applied to the meridional winds at 10 m and 850 hPa for the winters of 1999–2006. The analysis is focused on the North Atlantic and North Pacific Ocean basins and the Southern Ocean spanning the region south of the Indian Ocean. The spatial patterns that emerge...

  • Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain. II. Predicting wind components. van der Kamp, Derek; Curry, Charles; Monahan, Adam // Climate Dynamics;Apr2012, Vol. 38 Issue 7/8, p1301 

    A regression-based downscaling technique was applied to monthly mean surface wind observations from stations throughout western Canada as well as from buoys in the Northeast Pacific Ocean over the period 1979-2006. A predictor set was developed from principal component analysis of the three wind...

  • An assessment of monsoon precipitation changes during 1901-2001. Zhang, Lixia; Zhou, Tianjun // Climate Dynamics;Jul2011, Vol. 37 Issue 1/2, p279 

    Changes of global land monsoon precipitation are assessed by using three sets of rain-gauge precipitation data for the period of 1901-2002 compiled by GPCC, CRU and Dai-dataset, respectively. The three datasets show consistent long-term changes of precipitation over the monsoon region with...

  • Detection of Important Atmospheric and Surface Features by Employing Principal Component Image Transformation of GOES Imagery. Hillger, Donald W.; Ellrod, Gary P. // Journal of Applied Meteorology;May2003, Vol. 42 Issue 5, p611 

    The detection of dust, fire hot spots, and smoke from the Geostationary Operational Environmental Satellite (GOES) is made easier by employing the principal component image (PCI) technique. PCIs are created by an eigenvector transformation of spectral band images from the five-band GOES Imager....

  • Observed drought and wetness trends in Europe: an update. Bordi, I.; Fraedrich, K.; Sutera, A. // Hydrology & Earth System Sciences;2009, Vol. 13 Issue 8, p1519 

    Linear and nonlinear trends of drought and wetness are analysed in terms of the gridded Standardized Precipitation Index (SPI) determined from monthly precipitation in Europe (NCEP/NCAR). In characterizing the meteorological and hydrological aspects, the index is computed on a seasonal and on a...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics