A Two-Parameter Wind Speed Algorithm for Ku-Band Altimeters
- 1 December 2002
- journal article
- Published by American Meteorological Society in Journal of Atmospheric and Oceanic Technology
- Vol. 19 (12) , 2030-2048
- https://doi.org/10.1175/1520-0426(2002)019<2030:atpwsa>2.0.co;2
Abstract
Globally distributed crossovers of altimeter and scatterometer observations clearly demonstrate that ocean altimeter backscatter correlates with both the near-surface wind speed and the sea state. Satellite data from TOPEX/Poseidon and NSCAT are used to develop an empirical altimeter wind speed model that attenuates the sea-state signature and improves upon the present operational altimeter wind model. The inversion is defined using a multilayer perceptron neural network with altimeter-derived backscatter and significant wave height as inputs. Comparisons between this new model and past single input routines indicates that the rms wind error is reduced by 10%–15% in tandem with the lowering of wind error residuals dependent on the sea state. Both model intercomparison and validation of the new routine are detailed, including the use of large independent data compilations that include the SeaWinds and ERS scatterometers, ECMWF wind fields, and buoy measurements. The model provides consistent impro... Abstract Globally distributed crossovers of altimeter and scatterometer observations clearly demonstrate that ocean altimeter backscatter correlates with both the near-surface wind speed and the sea state. Satellite data from TOPEX/Poseidon and NSCAT are used to develop an empirical altimeter wind speed model that attenuates the sea-state signature and improves upon the present operational altimeter wind model. The inversion is defined using a multilayer perceptron neural network with altimeter-derived backscatter and significant wave height as inputs. Comparisons between this new model and past single input routines indicates that the rms wind error is reduced by 10%–15% in tandem with the lowering of wind error residuals dependent on the sea state. Both model intercomparison and validation of the new routine are detailed, including the use of large independent data compilations that include the SeaWinds and ERS scatterometers, ECMWF wind fields, and buoy measurements. The model provides consistent impro...Keywords
This publication has 23 references indexed in Scilit:
- Altimeter sea state bias: A new look at global range error estimatesGeophysical Research Letters, 2001
- Revised ocean backscatter models at C and Ku band under high‐wind conditionsJournal of Geophysical Research: Oceans, 1999
- The accuracy of the NSCAT 1 vector winds: Comparisons with National Data Buoy Center buoysJournal of Geophysical Research: Oceans, 1999
- A new approach for determining fully empirical altimeter wind speed model functionsJournal of Geophysical Research: Oceans, 1994
- Comparison of TOPEX/POSEIDON σ0 and significant wave height distributions to GeosatJournal of Geophysical Research: Oceans, 1994
- Derivation of satellite wind model functions using operational surface wind analyses: An altimeter exampleJournal of Geophysical Research: Oceans, 1993
- Effects of sea maturity on satellite altimeter measurementsJournal of Geophysical Research: Oceans, 1990
- Validation of Geosat altimeter‐derived wind speeds and significant wave heights using buoy dataJournal of Geophysical Research: Oceans, 1987
- A review of satellite altimeter measurement of sea surface wind speed: With a proposed new algorithmJournal of Geophysical Research: Oceans, 1985
- The wind-speed measurement capability of spaceborne radar altimetersIEEE Journal of Oceanic Engineering, 1981