Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications

Geostationary-Satellite Imagery Applications on Distributed, High-Performance Computing

We discuss applications of high resolution geostationary satellite imagery and distributed high performance computing facilities for the storage, processing and delivery of satellite data products. We describe our system which is built on a distributed high performance computing environment using a number of software infrastructural building blocks and computational resources interconnected by ...

Cloud pattern prediction from geostationary meteorological satellite images for solar energy forecasting

Surface solar radiation forecasting permits to predict photovoltaic plant production for a massive and safe integration of solar energy into the electric network. For short-term forecasts (intra-day), methods using images from meteorological geostationary satellites are more suitable than numerical weather prediction models. Forecast schemes consist in assessing cloud motion vectors and in extr...

Analytical method for determining the statistics of interference between non-geostationary-satellite orbit fixed-satellite service systems and other non-geostationary-satellite orbit fixed-satellite service systems or geostationary-satellite orbit fixed-satellite service networks

Wind Estimation from Geostationary-satellite Pictures

The motion of properly selected clouds derived from photographs taken by the geostationary Advanced Technology Satellites provides estimates of the wind a t cloud level. A large number of lowand high-cloud motions near rawin stations are compared to the balloon-derived winds to determine the levels at which these wind estimates might be used for map analyses and to assess their accuracy a t tho...

Retrieving Clear-Sky Surface Skin Temperature for Numerical Weather Prediction Applications from Geostationary Satellite Data

Atmospheric models rely on high-accuracy, high-resolution initial radiometric and surface conditions for better short-term meteorological forecasts, as well as improved evaluation of global climate models. Remote sensing of the Earth’s energy budget, particularly with instruments flown on geostationary satellites, allows for near-real-time evaluation of cloud and surface radiation properties. T...