Location
University of Utah
Start Date
6-19-1998 9:15 AM
Description
Traditional satellite scatterometer wind retrieval algorithms consist of point-wise wind estimation and point-wise ambiguity removal. Pointwise estimation yields multiple estimates, or ambiguities, for the near-surface ocean wind in each scatterometer resolution element, requiring subsequent ambiguity removal. Even though some point-wise ambiguity removal techniques achieve a high skill, they are still subject to error and usually rely on numerical model analysis fields. An alternative to point-wise wind retrieval, one that does not rely on numerical model analysis fields, is field-wise or model-based retrieval. This paper presents an automated field-wise retrieval algorithm. The algorithm is tested on data obtained from the NASA Scatterometer (NSCAT), and results indicate that field-wise retrieval provides a reliable means of performing wind retrieval based on scatterometer measurements alone.
Field-Wise Wind Retrieal for the NASA Scatterometer
University of Utah
Traditional satellite scatterometer wind retrieval algorithms consist of point-wise wind estimation and point-wise ambiguity removal. Pointwise estimation yields multiple estimates, or ambiguities, for the near-surface ocean wind in each scatterometer resolution element, requiring subsequent ambiguity removal. Even though some point-wise ambiguity removal techniques achieve a high skill, they are still subject to error and usually rely on numerical model analysis fields. An alternative to point-wise wind retrieval, one that does not rely on numerical model analysis fields, is field-wise or model-based retrieval. This paper presents an automated field-wise retrieval algorithm. The algorithm is tested on data obtained from the NASA Scatterometer (NSCAT), and results indicate that field-wise retrieval provides a reliable means of performing wind retrieval based on scatterometer measurements alone.