Name
Title | ||
|---|---|---|
Empirical orthogonal function analysis of sea surface temperature patterns in Delaware Bay |
Abstract | ||
|---|---|---|
Empirical orthogonal functions (EOFs) are used to study a time-series of IR images from the Delaware Bay region, to determine the dominant patterns of sea surface temperature (SST) variance. Thirty-two months of AVHRR imagery, from February 1992 to September 1994, were used in the study. The SST images were averaged into monthly means for the analysis. EOF analysis decomposed the time series into its component parts. For Delaware Bay, the seasonal solar heating cycle dominated the results, accounting for 95.3% of the total variance. Higher modes in this area are interpreted as the result of spring heating and fall cooling of shallow river and bay waters ahead of offshore waters. The EOF results provide independent satellite derived evidence for lateral variability in the circulation of the estuary, which had previously been found in in-situ studies. The lateral variability in the bay circulation is a result of Delaware Bay's drowned river valley bathymetry |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/36.628796 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
oceanographic regions,rivers,AD 1992,AD 1993,AD 1994,Delaware Bay,EOF,IR image,New Jersey,North Atlantic,SST pattern,USA,United States,bay,circulation,empirical orthogonal function analysis,estuary,lateral variability,ocean,river,sea coast,sea surface temperature,thermal structure | Climate change,Sea surface temperature,Surface water,Estuary,Oceanography,Bathymetry,Empirical orthogonal functions,Bay,Climatology,Mathematics,Submarine pipeline | Journal |
Volume | Issue | ISSN |
35 | 5 | 0196-2892 |
Citations | PageRank | References |
3 | 0.76 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keiner, L.E. | 1 | 3 | 0.76 |
| Xiao-Hai Yan | 2 | 20 | 7.36 |