The impact of temperature errors on perceived humidity supersaturation

Computer Science – Sound

Scientific paper

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Global Change: Remote Sensing, Global Change: Water Cycles (1836), Global Change: Instruments And Techniques, Meteorology And Atmospheric Dynamics: General Or Miscellaneous

Scientific paper

A Monte Carlo method is used to study the propagation of temperature uncertainties into relative humidity with respect to ice (RH i ) calculated from specific humidity. For a flat specific humidity distribution and Gaussian temperature uncertainties the resulting RH i distribution drops exponentially at high RH i values-much slower than a Gaussian. This agrees well with the RH i distribution measured by the Microwave Limb Sounder (MLS), which means that such remotely measured RH i distributions can be explained, at least partly, by temperature uncertainties.

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