Title :
Towards a Climate Data Record of satellite ocean vector winds
Author :
Ricciardulli, Lucrezia ; Meissner, Thomas ; Wentz, Frank
Author_Institution :
Remote Sensing Syst., Santa Rosa, CA, USA
Abstract :
A Climate Data Record of ocean surface winds is very valuable for climate research, as surface winds are key drivers of oceanic and atmospheric processes which regulate global and regional climate. However, producing a climate-quality global dataset of ocean surface winds by combining observations from different satellites is a very challenging task. Here we present a methodology ideal for merging different dataset to produce a Climate Data Record of ocean surface winds. Our first step has been the reprocessing of the wind vectors from the scatterometer QuikSCAT, which operated from 1999 to 2009. The QuikSCAT were reprocessed by using a new model function developed to improve retrievals at high wind speeds. QuikSCAT winds will serve as a backbone for our Climate Data Record. Our next step is to apply the same methodology and calibration method to the winds from the European scatterometer ASCAT, which started in 2007.
Keywords :
atmospheric techniques; climatology; wind; AD 1999 to 2009; Climate Data Record; European scatterometer ASCAT; QuikSCAT winds; atmospheric process; calibration method; climate-quality global dataset; global climate regulation; high wind speeds; ocean surface winds; oceanic process; regional climate regulation; satellite ocean vector winds; Oceans; Radar measurements; Rain; Vectors; Wind speed; Ocean surface winds; climate data record; geophysical model function; scatterometer;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350966