数据说明
WindSat Wind Vector Data Product(SSW)
上传时间：2019-05-22 14:12:09 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, 3-day, monthly
Duration: Feb. 2003 to Jun. 2018.
Source: WindSat, Remote Sensing Systems (RSS)
Version: 7.0.1
Processing: All the daily data in a month are averaged to get the monthly data.
We obtain WindSat antenna temperature data from NRL and NOAA. Using a consistent processing scheme and a robust radiative transfer model, we intercalibrate the WindSat data with the other microwave radiometers, obtain brightness temperatures, and then produce our ocean measurement products for distribution.
Known issues
1. Missing data: After a post-launch checkout period, the WindSat data started on February 5, 2003. With some short periods of non-operation, the instrument continues to operate in the present time. Data gaps are generally due to missing data upstream from our processing facility, such as the instrument being turned off. Occasionally, there are delays in obtaining and/or processing recently recorded data. If the data are not present after several weeks, it is unlikely that the missing data will become available. The record of missing data can be found at the website:http://images.remss.com/windsat/windsat_missing_days.txt
2. The daily files consist of WindSat ocean measurements mapped to a regular grid complete with data gaps between orbits. Two maps exist for each parameter, one of descending orbit segments (local morning passes) and the other of ascending orbit segments (local evening passes). Daily data files contain time maps consisting of the UTC observation time for each set of passes (descending and ascending). Time-Averaged data files do not contain any time information.
Reference
Banzon V F, Reynolds R W. Use of WindSat to Extend a Microwave-Based Daily Optimum Interpolation Sea Surface Temperature Time Series. Journal of Climate, 2013, 26(8): 2557-2562.
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/missions/windsat/
Unit: m/s
Resolution: 0.25° pixel, daily, 3-day, monthly
Duration: Feb. 2003 to Jun. 2018.
Source: WindSat, Remote Sensing Systems (RSS)
Version: 7.0.1
Processing: All the daily data in a month are averaged to get the monthly data.
We obtain WindSat antenna temperature data from NRL and NOAA. Using a consistent processing scheme and a robust radiative transfer model, we intercalibrate the WindSat data with the other microwave radiometers, obtain brightness temperatures, and then produce our ocean measurement products for distribution.
Known issues
1. Missing data: After a post-launch checkout period, the WindSat data started on February 5, 2003. With some short periods of non-operation, the instrument continues to operate in the present time. Data gaps are generally due to missing data upstream from our processing facility, such as the instrument being turned off. Occasionally, there are delays in obtaining and/or processing recently recorded data. If the data are not present after several weeks, it is unlikely that the missing data will become available. The record of missing data can be found at the website:http://images.remss.com/windsat/windsat_missing_days.txt
2. The daily files consist of WindSat ocean measurements mapped to a regular grid complete with data gaps between orbits. Two maps exist for each parameter, one of descending orbit segments (local morning passes) and the other of ascending orbit segments (local evening passes). Daily data files contain time maps consisting of the UTC observation time for each set of passes (descending and ascending). Time-Averaged data files do not contain any time information.
Reference
Banzon V F, Reynolds R W. Use of WindSat to Extend a Microwave-Based Daily Optimum Interpolation Sea Surface Temperature Time Series. Journal of Climate, 2013, 26(8): 2557-2562.
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/missions/windsat/
