Name
Abstract | ||
|---|---|---|
The assimilation and validation of cross-calibrated, multisatellite ocean surface wind data is described. The principal data set covers the global ocean for the twenty-two year period from 1987 through 2009 with six-hour and 25-km resolution. This data set is produced by combining all ocean surface wind speed observations from SSM/I, AMSR-E, and TMI, and all ocean surface wind vector observations from QuikSCAT and SeaWinds. An enhanced variational analysis method (VAM) performs quality control and combines these data with available ship and buoy data and ECMWF analyses. The VAM analyses fit the data used very closely and contain small-scale structures not present in operational analyses. Comparisons with withheld observations are also shown to be very good. These data should be extremely useful to atmospheric and oceanic research, and to air-sea interaction studies. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5652511 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
quality control,radiometry,remote sensing,variational techniques,wind,AMSR-E,ECMWF analyses,QuikSCAT,SSM-I,SeaWinds,TMI,air-sea interaction,microwave radiometry,multisatellite ocean surface wind data,ocean surface wind vector observations,quality control,remote sensing,variational analysis method,microwave radiometry,scatterometry | Meteorology,Buoy,Variational analysis,Assimilation (phonology),Satellite,Wind speed,Computer science,Surface wave,Remote sensing,Radiometry,Satellite broadcasting | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Atlas | 1 | 7 | 3.63 |