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    Troposphere

 
Humidity is a highly variable parameter in atmospheric processes and it plays a crucial role in atmospheric motions on a wide range of scales in space and time. Limitations in humidity observation accuracy, as well as temporal and spatial coverage, often lead to problems in numerical weather prediction, in particular prediction of clouds and precipitation.


Due to these limitations, the verification of humidity simulations in operational weather forecasts and climate modeling is also difficult.


The GPS is a tool initially designed for positioning and navigation. As widely demonstrated, the GPS can also provide a reliable estimate of the Zenith Tropospheric Delay (ZTD) which can be used to derive the integrated water vapor (IWV) content of the atmosphere.

 

 

It has been demonstrated that the GPS-estimation of the IWV has an accuracy that is at least comparable to that of radiosondes and microwave radiometers, which are presently the primary source of humidity data. In addition, ground-based GPS receivers are portable and economic, providing continuous measurements which are not affected by rain and clouds.

There are at least two potential benefits from the GPS observations: 1) an independent data set for validating forecast and climate models; and 2) an enhanced weather forecasting system which makes use of the extra humidity information.


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