Meteorologists use water vapor imagery to analyze location and movement of water vapor moisture in the upper and middle levels of the atmosphere. Satellite instruments such as those on GOES can detect water vapor in the infrared spectrum between the 6.7 to 7.3 micrometer wavelength ranges. Water v...
These bands support the characterization of the surface, clouds, water vapor, ozone, volcanic ash, and dust based on emissive properties. README GOES卫星是由NOAA管理的地球静止气象卫星。 云层和水分图像产品的分辨率都是2公里。1-6波段是反射的。无尺寸的 "反射系数 "数量是以太阳天顶角为标准的。这些...
Thequality of the data can be improved if the variables forthe atmospheric correction (water vapor, ozone andpressure) are taken from a finer grid resolution and ifthe actual aerosol optical depth is used. However, evenunder these improved concitions, the magnitude of theNDVI would differ but ...
this dataset only includes retrieval over non-glint water surface (specifically at the anti-solar side of the orbit with viewing angle more than 40 degree away from the specular ray). For more details, see theAlgorithm Description
Imagery:-The data source I use for the imagery (the only free one I could find that works with Google Maps) filters out data that it thinks is not precipitation, so it is not the complete raw radar imagery NOAA provides.-GOES imagery is not animated.-Visible & Water Vapor imagery not ...
Lake surface water temperature (LSWT) are operationally derived from the National Oceanic and Atmospheric Administration operated Advanced Very High Resolution Radiometer (NOAA - AVHRR) data using a nonlinear sea surface temperature (NLSST) algorithm. The adapted method has been widely examined with the...
understandwater vapor NOAA satellite detects real-time volcanoash NOAA PolarWatch Improving national ocean modeling to meetinteragency needs Machine learning is improving theidentification of harmful algal blooms Earth Prediction Innovation Center supportscommunity modeling Integrating satellite ination on ...
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海洋热通量数据集是NOAA海洋表面束(OSB)的一部分,提供了无冰海洋上空气/海洋热通量的高质量的气候数据记录(CDR)。 该数据集是利用TOGA-COARE大量空气-海洋通量算法的神经网络仿真器,从OSB CDR的近表面大气和海面温度参数中计算出来。 Dataset Availability
The Channel 2 result is subject to additional error due to uncertainty in the water vapor loading, and observational constraints on the water-vapor profile will be necessary to ensure the success of the method in this channel.doi:10.1016/0034-4257(92)90126-5Remote Sensing of Environment...