数据说明
CCMP Wind Vector Analysis Product(SSW)
上传时间：2019-05-22 14:12:45 浏览次数：作者与来源：admin
Gap-free ocean surface wind data of high quality and high temporal and spatial resolution are useful for a variety of purposes and are necessary for studying large scale air-sea interactions affecting the atmosphere and the ocean.
Unit: m/s
Resolution: 0.25° pixel, daily, monthly
Duration: Jul. 1987 to Dec. 2017.
Source: satellite, moored buoy, and model wind data, Remote Sensing Systems (RSS)
Version: 2.0
Processing: All the 6-hourly data in a day are averaged to get the daily data.
The CCMP data set combines cross-calibrated satellite microwave winds and instrument observations using a Variational Analysis Method (VAM) to produce high-resolution (0.25 degree) gridded analyses. Satellite wind retrievals derived by Remote Sensing Systems from a number of satellite-borne passive and active microwave instruments are used. RSS intercalibrates radiometers at the brightness temperature level to within 0.2 degree Celsius, applying a refined sea-surface emissivity model and radiative transfer function to derive surface winds. The VAM combines RSS instrument data with moored buoy measurements and a starting estimate (first-guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-Interim Reanalysis winds are used in the CCMP V2.0 processing as the first-guess wind field. All wind observations (satellite and buoy) and model analysis fields are referenced to a height of 10 meters.
Known issues
1. Users should not consider these winds suitable for studying global trends. These CCMP V2.0 winds may, however, be suitable for studying regional trends and patterns.
2. Caution should be used when studying high wind regions. We have noted differences between satellite data and the CCMP winds at high wind speeds (>25 m/s), where the background model wind is known to underestimate wind events. Note, wind events of this magnitude tend to be infrequent and geographically limited.
All the contents of this page are quoted from Remote Sensing Systems (RSS). All project documentation and related publications can be found at the website: http://www.remss.com/measurements/ccmp/
Unit: m/s
Resolution: 0.25° pixel, daily, monthly
Duration: Jul. 1987 to Dec. 2017.
Source: satellite, moored buoy, and model wind data, Remote Sensing Systems (RSS)
Version: 2.0
Processing: All the 6-hourly data in a day are averaged to get the daily data.
The CCMP data set combines cross-calibrated satellite microwave winds and instrument observations using a Variational Analysis Method (VAM) to produce high-resolution (0.25 degree) gridded analyses. Satellite wind retrievals derived by Remote Sensing Systems from a number of satellite-borne passive and active microwave instruments are used. RSS intercalibrates radiometers at the brightness temperature level to within 0.2 degree Celsius, applying a refined sea-surface emissivity model and radiative transfer function to derive surface winds. The VAM combines RSS instrument data with moored buoy measurements and a starting estimate (first-guess) of the wind field. The European Center for Medium-Range Weather Forecasts (ECMWF) ERA-Interim Reanalysis winds are used in the CCMP V2.0 processing as the first-guess wind field. All wind observations (satellite and buoy) and model analysis fields are referenced to a height of 10 meters.
Known issues
1. Users should not consider these winds suitable for studying global trends. These CCMP V2.0 winds may, however, be suitable for studying regional trends and patterns.
2. Caution should be used when studying high wind regions. We have noted differences between satellite data and the CCMP winds at high wind speeds (>25 m/s), where the background model wind is known to underestimate wind events. Note, wind events of this magnitude tend to be infrequent and geographically limited.
All the contents of this page are quoted from Remote Sensing Systems (RSS). All project documentation and related publications can be found at the website: http://www.remss.com/measurements/ccmp/
