Directivity of wind vectors derived from the ERS‐1/AMI scatterometer
- 15 April 1998
- journal article
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Oceans
- Vol. 103 (C4) , 7787-7797
- https://doi.org/10.1029/97jc02727
Abstract
Directional distribution of the wind vectors observed by the ERS‐I active microwave instrument (AMI) scatterometer over the global oceans is investigated to examine effects of errors in the geophysical model function used to retrieve the wind vectors from backscattering measurements. Three scatterometer data products, together with wind data derived from two operational meteorological analysis models, are analyzed and compared with each other for a period of 2 months. Frequency distributions of the wind directions relative to the midbeam looking direction are calculated in bins of 10°. It is found that scatterometer‐derived wind vectors may exhibit systematic directional preference relative to the antenna beams in comparison with those of the model winds. This artificial directivity is considered to be caused by imperfections in the model function used to retrieve the wind vectors. Dependencies of the directional distributions on incidence angle and wind speed are also discussed for each data products. The distribution, of wind directions is very sensitive to the errors in the model function and can be used as an effective measure of self‐consistency to validate the model function and retrieved wind vectors.Keywords
This publication has 12 references indexed in Scilit:
- A High Precision Wind Algorithm For The Ers1 Scatterometer And Its ValidationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Calibration/validation of ERS-1 scatterometer precision productsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Intercomparisons of wind speed measurements derived from ERS-1 scatterometer and altimeter and SSM/I over the tropical Atlantic OceanPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Scatterometer Beam Balancing Using Open-Ocean Backscatter MeasurementsJournal of Atmospheric and Oceanic Technology, 1999
- Impact of Wind Forcing, Bottom Topography, and Inertia on Midlatitude Jet Separation in a Quasigeostrophic ModelJournal of Physical Oceanography, 1997
- A Numerical Simulation of Wind Stress and Topographic Effects on the Kuroshio Current Path near TaiwanJournal of Physical Oceanography, 1996
- The Calibration ofERS-1Satellite Scatterometer WindsJournal of Atmospheric and Oceanic Technology, 1994
- A study of the use of scatterometer data in the European Centre for Medium-Range Weather Forecasts operational analysis-forecast model: 1. Quality assurance and validationJournal of Geophysical Research: Oceans, 1991
- The necessity for a new parameterization of an empirical model for wind/ocean scatterometryJournal of Geophysical Research: Oceans, 1986
- The relationship between wind vector and normalized radar cross section used to derive SEASAT‐A satellite scatterometer windsJournal of Geophysical Research: Oceans, 1982