UntitledSource: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003::page 1227DOI: 10.1175/WAF-D-16-0201.1Publisher: American Meteorological Society
Abstract: AbstractMultiscale ensemble-based data assimilation and forecasts were performed in real time during the Plains Elevated Convection At Night (PECAN) field experiment. A 20-member ensemble of forecasts at 4-km grid spacing was initialized daily at both 1300 and 1900 UTC, together with a deterministic forecast at 1-km grid spacing initialized at 1300 UTC. The configuration of the GSI-based data assimilation and forecast system was guided by results presented in Part I of this two-part study. The present paper describes the implementation of the real-time system and the extensive forecast products that were generated to support the unique interests of PECAN researchers. Subjective and objective verification of the real-time forecasts from 1 June through 15 July 2015 is conducted, with an emphasis on nocturnal mesoscale convective systems (MCSs), nocturnal convective initiation (CI), nocturnal low-level jets (LLJs), and bores on the nocturnal stable layer. Verification of nocturnal precipitation during overnight hours, a proxy for MCSs, shows both greater skill and spread for the 1300 UTC forecasts than the 1900 UTC forecasts. Verification against observed soundings reveals that the forecast LLJs systematically peak, veer, and dissipate several hours before the observations. Comparisons with bores that passed over an Atmospheric Emitted Radiance Interferometer reveal an ability to predict borelike features that is greatly improved at 1-km, compared with 4-km, grid spacing. Objective verification of forecast CI timing reveals strong sensitivity to the PBL scheme but an overall unbiased ensemble.
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| contributor author | Johnson, Aaron;Wang, Xuguang;Degelia, Samuel | |
| date accessioned | 2018-01-03T11:03:15Z | |
| date available | 2018-01-03T11:03:15Z | |
| date copyright | 4/24/2017 12:00:00 AM | |
| date issued | 2017 | |
| identifier other | waf-d-16-0201.1.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4246632 | |
| description abstract | AbstractMultiscale ensemble-based data assimilation and forecasts were performed in real time during the Plains Elevated Convection At Night (PECAN) field experiment. A 20-member ensemble of forecasts at 4-km grid spacing was initialized daily at both 1300 and 1900 UTC, together with a deterministic forecast at 1-km grid spacing initialized at 1300 UTC. The configuration of the GSI-based data assimilation and forecast system was guided by results presented in Part I of this two-part study. The present paper describes the implementation of the real-time system and the extensive forecast products that were generated to support the unique interests of PECAN researchers. Subjective and objective verification of the real-time forecasts from 1 June through 15 July 2015 is conducted, with an emphasis on nocturnal mesoscale convective systems (MCSs), nocturnal convective initiation (CI), nocturnal low-level jets (LLJs), and bores on the nocturnal stable layer. Verification of nocturnal precipitation during overnight hours, a proxy for MCSs, shows both greater skill and spread for the 1300 UTC forecasts than the 1900 UTC forecasts. Verification against observed soundings reveals that the forecast LLJs systematically peak, veer, and dissipate several hours before the observations. Comparisons with bores that passed over an Atmospheric Emitted Radiance Interferometer reveal an ability to predict borelike features that is greatly improved at 1-km, compared with 4-km, grid spacing. Objective verification of forecast CI timing reveals strong sensitivity to the PBL scheme but an overall unbiased ensemble. | |
| publisher | American Meteorological Society | |
| type | Journal Paper | |
| journal volume | 32 | |
| journal issue | 3 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-16-0201.1 | |
| journal fristpage | 1227 | |
| journal lastpage | 1251 | |
| tree | Weather and Forecasting:;2017:;volume( 032 ):;issue: 003 | |
| contenttype | Fulltext |