NCAR Auto-Nowcast SystemSource: Weather and Forecasting:;2003:;volume( 018 ):;issue: 004::page 545Author:Mueller, C.
,
Saxen, T.
,
Roberts, R.
,
Wilson, J.
,
Betancourt, T.
,
Dettling, S.
,
Oien, N.
,
Yee, J.
DOI: 10.1175/1520-0434(2003)018<0545:NAS>2.0.CO;2Publisher: American Meteorological Society
Abstract: The Auto-Nowcast System (ANC), a software system that produces time- and space-specific, routine (every 5 min) short-term (0?1 h) nowcasts of storm location, is presented. A primary component of ANC is its ability to identify and characterize boundary layer convergence lines. Boundary layer information is used along with storm and cloud characteristics to augment extrapolation with nowcasts of storm initiation, growth, and dissipation. A fuzzy logic routine is used to combine predictor fields that are based on observations (radar, satellite, sounding, mesonet, and profiler), a numerical boundary layer model and its adjoint, forecaster input, and feature detection algorithms. The ANC methodology is illustrated using nowcasts of storm initiation, growth, and dissipation. Statistical verification shows that ANC is able to routinely improve over extrapolation and persistence.
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| contributor author | Mueller, C. | |
| contributor author | Saxen, T. | |
| contributor author | Roberts, R. | |
| contributor author | Wilson, J. | |
| contributor author | Betancourt, T. | |
| contributor author | Dettling, S. | |
| contributor author | Oien, N. | |
| contributor author | Yee, J. | |
| date accessioned | 2017-06-09T15:03:47Z | |
| date available | 2017-06-09T15:03:47Z | |
| date copyright | 2003/08/01 | |
| date issued | 2003 | |
| identifier issn | 0882-8156 | |
| identifier other | ams-3330.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4170957 | |
| description abstract | The Auto-Nowcast System (ANC), a software system that produces time- and space-specific, routine (every 5 min) short-term (0?1 h) nowcasts of storm location, is presented. A primary component of ANC is its ability to identify and characterize boundary layer convergence lines. Boundary layer information is used along with storm and cloud characteristics to augment extrapolation with nowcasts of storm initiation, growth, and dissipation. A fuzzy logic routine is used to combine predictor fields that are based on observations (radar, satellite, sounding, mesonet, and profiler), a numerical boundary layer model and its adjoint, forecaster input, and feature detection algorithms. The ANC methodology is illustrated using nowcasts of storm initiation, growth, and dissipation. Statistical verification shows that ANC is able to routinely improve over extrapolation and persistence. | |
| publisher | American Meteorological Society | |
| title | NCAR Auto-Nowcast System | |
| type | Journal Paper | |
| journal volume | 18 | |
| journal issue | 4 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/1520-0434(2003)018<0545:NAS>2.0.CO;2 | |
| journal fristpage | 545 | |
| journal lastpage | 561 | |
| tree | Weather and Forecasting:;2003:;volume( 018 ):;issue: 004 | |
| contenttype | Fulltext |