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ERS-1 scatterometer calibration and validation activities at ECMWF. B: From radar backscatter characteristics to wind vector solutionsCalibration and validation activities for the ERS-1 scatterometer were carried out at ECMWF (European Center for Medium range Weather Forecast) complementary to the 'Haltenbanken' field campaign off the coast of Norway. At a Numerical Weather Prediction (NWP) center a wealth of verifying data is available both in time and space. This data is used to redefine the wind retrieval procedure given the instrumental characteristics. It was found that a maximum likelihood estimation procedure to obtain the coefficients of a reformulated sigma deg to wind relationship should use radar measurements in logarithmic rather than physical space, and use winds as the wind components rather than wind speed and direction. Doing this, a much more accurate transfer function than the one currently operated by ESA was derived. Sigma deg measurement space shows no signature of a separation in an upwind solution cone and a downwind solution cone. As such signature was anticipated in ESA's wind direction ambiguity removal algorithm, reconsideration of the procedure is necessary. Despite the fact that revisions have to be made in the process of wind retrieval; a grid potential is shown for scatterometry in meteorology and climatology.
Document ID
19930014575
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Stoffelen, AD
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Anderson, David L. T.
(Oxford Univ. United Kingdom)
Woiceshyn, Peter M.
(Jet Propulsion Lab. California Inst. of Tech., Pasadena., United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Publication Information
Publication: ESA, Environment Observation and Climate Modelling Through International Space Projects. Volume 3: Earth Observation Space Programmes, SAFISY Activities, Strategies of International Organisations, Legal Aspects
Subject Category
Earth Resources And Remote Sensing
Accession Number
93N23764
Distribution Limits
Public
Copyright
Other
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