气象与减灾研究
氣象與減災研究
기상여감재연구
METEOROLOGY AND DISASTER REDUCTION RESEARCH
2014年
3期
23-28
,共6页
徐星生%万明%薛谌彬%王海
徐星生%萬明%薛諶彬%王海
서성생%만명%설심빈%왕해
WRF-RUC%检验%降水%TS 评分
WRF-RUC%檢驗%降水%TS 評分
WRF-RUC%검험%강수%TS 평분
Rapid Update Cycle%verification%precipitation%TS score
利用江西省92个国家气象观测站雨量资料,对2014年汛期江西 WRF-RUC 系统的降水预报进行逐6 h、12 h 和24 h 晴雨检验、降水分级检验以及同期区域暴雨个例检验分析。结果表明:1)6 h、12 h、24 h 晴雨检验PC 评分分别达0.6、0.7、0.8,系统表现了稳定的预报性能。2)系统对小雨、中雨和大雨具有较好的预报能力,对局地暴雨、大暴雨的预报能力较弱,而对区域暴雨的预报具参考意义。3)系统有效地缩短了 spin-up 时间,系统在积分6 h 后达到最佳预报性能,并在起报后6-12 h 时段,预报效果最佳。4)系统对降水范围以及小雨、中雨、大雨过度预报,对暴雨、大暴雨范围预报比较合理。
利用江西省92箇國傢氣象觀測站雨量資料,對2014年汛期江西 WRF-RUC 繫統的降水預報進行逐6 h、12 h 和24 h 晴雨檢驗、降水分級檢驗以及同期區域暴雨箇例檢驗分析。結果錶明:1)6 h、12 h、24 h 晴雨檢驗PC 評分分彆達0.6、0.7、0.8,繫統錶現瞭穩定的預報性能。2)繫統對小雨、中雨和大雨具有較好的預報能力,對跼地暴雨、大暴雨的預報能力較弱,而對區域暴雨的預報具參攷意義。3)繫統有效地縮短瞭 spin-up 時間,繫統在積分6 h 後達到最佳預報性能,併在起報後6-12 h 時段,預報效果最佳。4)繫統對降水範圍以及小雨、中雨、大雨過度預報,對暴雨、大暴雨範圍預報比較閤理。
이용강서성92개국가기상관측참우량자료,대2014년신기강서 WRF-RUC 계통적강수예보진행축6 h、12 h 화24 h 청우검험、강수분급검험이급동기구역폭우개례검험분석。결과표명:1)6 h、12 h、24 h 청우검험PC 평분분별체0.6、0.7、0.8,계통표현료은정적예보성능。2)계통대소우、중우화대우구유교호적예보능력,대국지폭우、대폭우적예보능력교약,이대구역폭우적예보구삼고의의。3)계통유효지축단료 spin-up 시간,계통재적분6 h 후체도최가예보성능,병재기보후6-12 h 시단,예보효과최가。4)계통대강수범위이급소우、중우、대우과도예보,대폭우、대폭우범위예보비교합리。
To understand the performances of precipitation forecast(every 6 h, 12 h and 24 h) of Jiangxi WRF-Rapid Update Cycle (WRF -RUC) forecast system, the operational forecast results were verified and evaluated by objective verification method compared with the observation data from the 92 rainfall station during the flood season of 2014. Some encouraged conclusions were given as follows. Firstly, WRF-RUC system presented stable forecast performance. The PC scores of sunny/rainy validation with every 6 h, 12 h and 24 h were 0.6, 0.7 and 0.8, respectively. Secondly, the verification scores of precipitation forecast showed that the system had the good forecast ability for light rain, moderate rain and heavy rain, while it had weak forecast ability for local rainstorm. The system could provide better forecast reference for the regional rainstorm. Thirdly, the system efficiently shortened the time of spin -up so that it could achieve the best precipitation -predict performance after 6 h model integration. Fourthly, the system tended to over-predict the range of light rain, moderate rain and heavy rain, while it had reasonable forecast range of rainstorm.