DocumentCode :
1892911
Title :
Evaluation of high-resolution weather forecasts in tropics using satellite passive millimeter-wave observations
Author :
Surussavadee, Chinnawat
Author_Institution :
Andaman Environ. & Natural Disaster Res. Center, Prince of Songkla Univ., Phuket, Thailand
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
2777
Lastpage :
2780
Abstract :
This paper evaluates high-resolution weather forecasts in tropics. The fifth-generation NCAR/Penn State Mesoscale Model, MM5, was used to forecast 79 storms spanning a year over Thailand and nearby regions at 5-km resolution. MM5 forecasted brightness temperatures and those coincidentally observed by the passive millimeter-wave Advanced Microwave Sounding Units (AMSU) aboard NOAA-16 satellite were compared. MM5-forecasted surface precipitation rate, peak vertical wind, and water paths for rainwater, snow, graupel, the sum of rainwater, snow, and graupel, cloud liquid water, and cloud ice were also compared with AMSU estimates. Results show that MM5 forecasts statistically agree with those observed by AMSU. MM5 over-forecast large ice particles for some storms. Morphology, intensity, and area of storms forecasted by MM5 are generally similar to AMSU observations, but with location differences. MM5 can provide useful high-resolution forecasts for tropical storms about 8 hours in advance. Forecast accuracy could be improved by using higher-resolution and more accurate initial and boundary conditions, satellite data for location correction during the forecast, and a more accurate weather prediction model.
Keywords :
atmospheric techniques; atmospheric temperature; ice; rain; snow; storms; weather forecasting; Advanced Microwave Sounding Units; MM5 forecasted brightness temperatures; MM5-forecasted surface precipitation rate; NCAR mesoscale model; NOAA-16 satellite; Penn State mesoscale model; Thailand; cloud ice; cloud liquid water; high-resolution weather forecasts; ice particles; peak vertical wind; rainwater sum; satellite passive millimeter-wave observations; tropical storms; water paths; weather prediction model; Brightness temperature; Clouds; Ice; Predictive models; Spatial resolution; Storms; Weather forecasting; high-resolution weather forecasting; meteorology; numerical weather prediction model; precipitation; satellite; tropics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049790
Filename :
6049790
Link To Document :
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