Weather forecasting.
Satellite image are used by Meteorologists in weather forecast process.
Weather forecast often include colorful satellite image of world taken from
space. These images are important in predicting the weather and moving against
possible upcoming dangers such as hurricane or storms. Satellite image give
forecasters an accurate picture of the behavior of the atmosphere all over the
world. That is essential for forecasting weather correctly and for conducting
research. Satellite image can be either colorful or black and white. Darker area
represents clear weather since the satellite can see the earth surface clearly.
Lighter shades represent cloud. Thunderstorm clouds are the lightest indicating
stormy weather. Certain infrared satellite images enable to distinguish rain
clouds from other clouds. They measure heat. Dark area indicates warmer
temperature while lighter area indicates colder temperature.
Looking satellite image we learn about
visibility, type of weather in a certain area and the chance for precipitation.
Satellite image help to determine placement temperature, humidity picture,
cloud pictures and wind data to help identify long term trends and make
accurate weather predictions.
A technique for using satellite pictures to
analyses and forecast tropical cyclone intensifies is described. The cloud
feature used to estimate the cyclone intensity and its future change of
intensity are described. Procedure for interpreting cloud characteristics and
their day by day changes within the guidance and constant of empirical model of
tropical cyclone are outlines. Objective
methods for estimate tropical cyclone intensity using historical hurricane
satellite data (HURSAT) is developed and tested. This new method referred to as
feature analogs in satellite images (FASI).
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