Upper tropospheric humidity observations from Meteosat compared with short-term forecast fields

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19

Meteorology And Atmospheric Dynamics: Radiative Processes, Meteorology And Atmospheric Dynamics: General Circulation, Meteorology And Atmospheric Dynamics: Climatology

Scientific paper

Monthly mean brightness temperature observations from the water vapor channel (WV: 5.7-7.1 μm) aboard the geostationary weather satellite METEOSAT-4 are presented for July 1992. The WV channel is sensitive to the atmospheric column water vapor in the upper troposphere above 600 to 500 hPa. The WV channel has been recalibrated with a radiative transfer model using quality controlled radiosondes. The observations are compared with brightness temperature calculations based on short-term forecast fields (12 and 24 h) of the general circulation model of the European Center for Medium Range Weather Forecasts (ECMWF). While the model humidity field closely resembles the observed large-scale distribution it is too moist in the subtropics and slightly too dry in areas associated with the Inter Tropical Convergence Zone (ITCZ). A simple method is suggested that quantifies the moisture bias in the general circulation model by adjusting the model based brightness temperatures.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Upper tropospheric humidity observations from Meteosat compared with short-term forecast fields does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Upper tropospheric humidity observations from Meteosat compared with short-term forecast fields, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Upper tropospheric humidity observations from Meteosat compared with short-term forecast fields will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1256769

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.