Title | ||
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Thermodynamic Atmospheric Profiling During the 2010 Winter Olympics Using Ground-Based Microwave Radiometry. |
Abstract | ||
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Ground-based microwave radiometer profilers in the 20-60-GHz range operate continuously at numerous sites in different climate regions. Recent work suggests that a 1-D variational (1-DVAR) technique, coupling radiometric observations with outputs from a numerical weather prediction model, may outperform traditional retrieval methods for temperature and humidity profiling. The 1-DVAR technique is applied here to observations from a commercially available microwave radiometer deployed at Whistler, British Columbia, which was operated by Environment Canada to support nowcasting and short-term weather forecasting during the Vancouver 2010 Winter Olympic and Paralympic Winter Games. The analysis period included rain, sleet, and snow events (similar to 235-mm total accumulation and rates up to 18 mm/h). The 1-DVAR method is applied "quasi-operationally," i.e., as it could have been applied in real time, as no data were culled. The 1-DVAR-achieved accuracy has been evaluated by using simultaneous radiosonde and ceilometer observations as reference. For atmospheric profiling from the surface to 10 km, we obtain retrieval errors within 1.5 K for temperature and 0.5 g/m(3) for water vapor density. The retrieval accuracy for column-integrated water vapor is 0.8 kg/m(2), with small bias (-0.1 kg/m(2)) and excellent correlation (0.96). The retrieval of cloud properties shows a high probability of detection of cloud/no cloud (0.8/0.9, respectively), low false-alarm ratio (0.1), and cloud-base height estimate error within similar to 0.60 km. |
Year | DOI | Venue |
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2011 | 10.1109/TGRS.2011.2154337 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
atmospheric humidity,atmospheric techniques,atmospheric temperature,atmospheric thermodynamics,clouds,numerical analysis,radiometry,rain,snow,weather forecasting,1-D variational technique,AD 21010,British Columbia,Canada,Whistler,ceilometer observation,cloud properties,cloud-base height estimate error,column-integrated water vapor,coupling radiometric observations,frequency 20 GHz to 60 GHz,ground-based microwave radiometry,humidity profiling,numerical weather prediction model,radiosonde observation,rain,short-term weather forecasting,sleet,snow events,temperature profiling,thermodynamic atmospheric profiling,water vapor density,Atmospheric measurements,Bayesian variational methods,radiometry | Meteorology,Radiosonde,Atmospheric thermodynamics,Ceilometer,Remote sensing,Atmospheric temperature,Weather forecasting,Mathematics,Microwave radiometer,Nowcasting,Numerical weather prediction | Journal |
Volume | Issue | ISSN |
49 | 12 | 0196-2892 |
Citations | PageRank | References |
4 | 0.88 | 4 |
Authors | ||
10 |
Name | Order | Citations | PageRank |
---|---|---|---|
domenico cimini | 1 | 69 | 19.16 |
Edwin Campos | 2 | 4 | 0.88 |
Randolph Ware | 3 | 14 | 3.93 |
Steve Albers | 4 | 4 | 0.88 |
Graziano Giuliani | 5 | 4 | 0.88 |
Jeos Oreamuno | 6 | 4 | 0.88 |
Paul Joe | 7 | 4 | 1.22 |
Steve E. Koch | 8 | 4 | 0.88 |
Stewart Cober | 9 | 4 | 0.88 |
Ed R. Westwater | 10 | 32 | 9.92 |