Radar Refractivity Retrievals in Oklahoma: Insights into Operational Benefits and LimitationsSource: Weather and Forecasting:;2009:;volume( 024 ):;issue: 005::page 1345DOI: 10.1175/2009WAF2222256.1Publisher: American Meteorological Society
Abstract: The 2007 and 2008 spring refractivity experiments at KTLX investigated the potential utility of high-resolution, near-surface refractivity measurements to operational forecasting. During these experiments, forecasters at the Norman, Oklahoma, National Weather Service Forecast Office (NWSFO) assessed refractivity and scan-to-scan refractivity change fields retrieved from the Weather Surveillance Radar-1988 Doppler weather radar near Oklahoma City?Twin Lakes, Oklahoma (KTLX). Both quantitative and qualitative analysis methods were used to analyze the 41 responses from seven forecasters to a questionnaire designed to measure the impact of refractivity fields on forecast operations. The analysis revealed that forecasts benefited from the refractivity fields on 25% of the days included in the evaluation. In each of these cases, the refractivity fields provided complementary information that somewhat enhanced the forecasters? capability to analyze the near-surface environment and boosted their confidence in moisture trends. A case in point was the ability to track a retreating dryline after its location was obscured by a weak reflectivity bloom caused by biological scatterers. Forecasters unanimously agreed, however, that the impact of this complementary information on their forecasts was too insignificant to justify its addition as an operational dataset. The applicability of these findings to other NWSFOs may be limited to locations with similar weather situations and access to surface data networks like the Oklahoma Mesonet.
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contributor author | Heinselman, P. L. | |
contributor author | Cheong, B. L. | |
contributor author | Palmer, R. D. | |
contributor author | Bodine, D. | |
contributor author | Hondl, K. | |
date accessioned | 2017-06-09T16:32:48Z | |
date available | 2017-06-09T16:32:48Z | |
date copyright | 2009/10/01 | |
date issued | 2009 | |
identifier issn | 0882-8156 | |
identifier other | ams-69751.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4211454 | |
description abstract | The 2007 and 2008 spring refractivity experiments at KTLX investigated the potential utility of high-resolution, near-surface refractivity measurements to operational forecasting. During these experiments, forecasters at the Norman, Oklahoma, National Weather Service Forecast Office (NWSFO) assessed refractivity and scan-to-scan refractivity change fields retrieved from the Weather Surveillance Radar-1988 Doppler weather radar near Oklahoma City?Twin Lakes, Oklahoma (KTLX). Both quantitative and qualitative analysis methods were used to analyze the 41 responses from seven forecasters to a questionnaire designed to measure the impact of refractivity fields on forecast operations. The analysis revealed that forecasts benefited from the refractivity fields on 25% of the days included in the evaluation. In each of these cases, the refractivity fields provided complementary information that somewhat enhanced the forecasters? capability to analyze the near-surface environment and boosted their confidence in moisture trends. A case in point was the ability to track a retreating dryline after its location was obscured by a weak reflectivity bloom caused by biological scatterers. Forecasters unanimously agreed, however, that the impact of this complementary information on their forecasts was too insignificant to justify its addition as an operational dataset. The applicability of these findings to other NWSFOs may be limited to locations with similar weather situations and access to surface data networks like the Oklahoma Mesonet. | |
publisher | American Meteorological Society | |
title | Radar Refractivity Retrievals in Oklahoma: Insights into Operational Benefits and Limitations | |
type | Journal Paper | |
journal volume | 24 | |
journal issue | 5 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/2009WAF2222256.1 | |
journal fristpage | 1345 | |
journal lastpage | 1361 | |
tree | Weather and Forecasting:;2009:;volume( 024 ):;issue: 005 | |
contenttype | Fulltext |