Earth Science Satellite Remote Sensing pp 74-91 | Cite as
Introduction to MODIS Cloud Products
Chapter
Abstract
The Earth’s radiative energy balance and hydrological cycle are fundamentally coupled with the distribution and properties of clouds. Therefore, the ability to remotely infer cloud properties and their variation in space and time is crucial for establishing climatologies as a reference for validation of present-day climate models and in assessing future climate change. Remote cloud observations also provide data sets useful for testing and improving cloud model physics, and for assimilation into numerical weather prediction models.
Keywords
Advanced Very High Resolution Radiometer Advanced Very High Resolution Radiometer Cloud Fraction Geostationary Operational Environmental Satellite Brightness Temperature Difference
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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