Advisory and Research Group on Geo Observation Systems and Services Waveclimate.com Satellite Data Sources September 2004 waveclimate.com Contents 1 Background and availability of wave and wind data ................................................................................... 1 1.1 1.2 1.3 September 2004 ARGOSS Sensors, sampling, data ............................................................................................................................. 1 Coverage .................................................................................................................................................... 5 Current sources of wave and wind climate products ................................................................................ 7 i waveclimate.com 1 Background and availability of wave and wind data 1.1 Sensors, sampling, data Radar Altimeter Radar altimeter sends pulse downward and measures return. September 2004 ARGOSS 1 waveclimate.com Radar altimeter measures orbit height, significant wave height and wind speed. Scatterometer Wind scatterometer obtains wind vector from directional dependence of radar backscatter. September 2004 ARGOSS 2 waveclimate.com SAR, Synthetic Aperture Radar SAR is an imaging radar; positions are obtained from delay and doppler shift of return. Example of swell waves visible in a SAR image (nearshore wave propagation) September 2004 ARGOSS 3 waveclimate.com Wave spectral data from ERS SAR wave mode backscatter image 1. 2. 3. 4. 5. 6. 7. 8. Compute spectrum of radar image (in wave number plane) Calibrate spectrum using known properties of noise Find coincident wind vector from scatterometer Obtain wind-sea spectrum from wind; simulate image spectrum Compare with measured spectrum; adjust wind-sea spectrum, … When converged: compute swell spectrum by inverting a simplified model “Gap” in SAR spectrum is filled by wave model data Climate: significant wave height matched to radar altimeter data (consistency) Examples of spectra retrieved from SAR imagettes, compared to buoy and wave model data September 2004 ARGOSS 4 waveclimate.com 1.2 Coverage Temporal coverage of missions/instruments variables(s) significant wave height sensor(s) radar altimeter satellite(s) Geosat significant wave height and wind speed radar altimeter wind speed and direction scatterometer ERS1/2, Topex, Poseidon, Jason, GFO ERS1/2 Wave spectral density and mean direction in 25 frequency bands, together with coincident wind speed and direction synthetic aperture radar (SAR) and scatterometer ERS1/2 period covered from March 1985 to Dec 1989 from Aug 1991 to Dec 2003 from Jan 1993 to Dec 2000 from April 1993 to Jun 2003 Data density altimeter: very uniform also near coast September 2004 ARGOSS 5 waveclimate.com Data density wind ERS scatterometer: high except certain coastal zones (related to SAR image mode acquisition) Data density SAR wave mode: lower, in particular in semi-enclosed basins and some other strips along coast ((related to SAR image mode acquisition) September 2004 ARGOSS 6 waveclimate.com 1.3 Current sources of wave and wind climate products statistic for total seastate histogram prob. distribution of wind speed prob. distribution of wave height prob. distribution of mean period prob. distribution of zero-crossing period monthly distribution monthly prob. distribution of wave height monthly prob. distribution of wind speed scatter table joint prob. distribution of wind speed and wind direction joint prob. distribution of sign. wave height and wind speed joint prob. distribution of sign. wave height and mean period joint prob. distribution of sign. wave height and zero-crossing period joint prob. distribution of sign. wave height and wave direction extreme value analysis extreme value distribution of sign. wave height extreme value distribution of wind speed source of data altimeter altimeter SAR SAR altimeter altimeter scatterometer altimeter SAR SAR SAR altimeter altimeter Properties satellite wind and wave data + Accurate/reliable Fairly wide range of parameters measured, also spectral Spatial variability (e.g. geographic effects) _ Irregular sampling: no persistence For some areas/parameters sampling is not frequent enough September 2004 ARGOSS 7