A comparison of pointwise screening and empirical orthogonal functions in specifying monthly surface temperatures from 700 mb data
Conference
·
OSTI ID:5120889
This note compares two methods of specifying surface temperatures from concurrent 700 mb heights (Klein's multiple regression equations which contain 700 mb height anomalies at individual points selected by stepwise screening, and Walsh's multiple regression of the temperature anomalies onto the coefficients or amplitudes of the first few empirical orthogonal functions of 700 mb height anomalies. The rationale for the latter approach is that the strong spatial coherence exhibited by 700 mb heights is captured by EOF representations which permit the most effective compression of the data. The data consist of surface temperature at networks of 109 and 61 stations and 700 mb height on grids of 133 and 98 points for 101 winter months of December, January and February of the years 1948-1981 (Fig. 1). All data are in the form of departures from the local monthly means for the 30-year period, 1948-1977. The 700 mb data cover the region 20/degree/N-80/degree/N, 50/degree/W-180/degree/W with a resolution of 5/degree/ or 10/degree/ latitude x 10/degree/ longitude. The grid point screening procedure is based on a set of 133 points in this domain, while the EOFs are constructed from a set of 98 points covering the same domain. The EOFs were computed using normalized departures in order to prevent regions of maximum variance from dominating the eigenvectors. 6 figs., 1 tab.
- Research Organization:
- Maryland Univ., College Park (USA). Dept. of Meteorology; Illinois Univ., Urbana (USA). Dept. of Atmospheric Sciences
- DOE Contract Number:
- AS05-81EV10539
- OSTI ID:
- 5120889
- Report Number(s):
- CONF-8210360-2; ON: DE88005515
- Country of Publication:
- United States
- Language:
- English
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