Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 박선기 | * |
dc.date.accessioned | 2016-08-29T12:08:55Z | - |
dc.date.available | 2016-08-29T12:08:55Z | - |
dc.date.issued | 2013 | * |
dc.identifier.isbn | 9783642350887 | * |
dc.identifier.isbn | 9783642350870 | * |
dc.identifier.other | OAK-16354 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/231026 | - |
dc.description.abstract | In this study the quantitative precipitation forecast (QPF) related to a tropical cyclone is performed using a high-resolution mesoscale model and an evolutionary algorithm. For this purpose two parameters of the Kain-Fritsch convective parameterization scheme, in the Weather Research and Forecasting (WRF) model, are optimized using the micro-genetic algorithm (GA). The auto-conversion rate (c) and the convective time scale (T c) are target parameters. The fitness function is based on a QPF skill score. Typhoon Rusa (2002) is simulated in a grid spacing of 25 km. The default value of c is 0. 03 s−1 while that of T c is limited to a range between 1800 s and 3600 s as a function of grid resolution. To produce the best QPF skill, at least for this tropical cyclone case, c is optimized to 0. 0004 s−1 and T c to 1922s. Our results indicate that parameters of subgrid-scale physical processes need to be adjusted to produce better QPF in a tropical cyclone, sometimes to values far different from the default values in a numerical model. Such adjustment may be dependent on the characteristics of weather systems as well as geographical locations. © Springer-Verlag Berlin Heidelberg 2013. | * |
dc.language | English | * |
dc.publisher | Springer Berlin Heidelberg | * |
dc.title | Parameter estimation using an evolutionary algorithm for QPF in a tropical cyclone | * |
dc.type | Book Chapter | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 707 | * |
dc.relation.lastpage | 715 | * |
dc.relation.journaltitle | Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) | * |
dc.identifier.doi | 10.1007/978-3-642-35088-7_27 | * |
dc.identifier.scopusid | 2-s2.0-84955397139 | * |
dc.author.google | Yu X. | * |
dc.author.google | Park S.K. | * |
dc.author.google | Lee Y.H. | * |
dc.contributor.scopusid | 박선기(7501828935) | * |
dc.date.modifydate | 20240322114032 | * |