ECMWF降水相態(tài)預(yù)報(bào)產(chǎn)品(PTYPE)應(yīng)用和檢驗(yàn)
發(fā)布時(shí)間:2021-11-27 06:35
運(yùn)用我國(guó)2016—2018年三個(gè)冬半年(10月至次年3月)地面2515個(gè)站的天氣現(xiàn)象觀測(cè)資料,對(duì)ECMWF(European Centre for Medium-Range Weather Forecasts)的降水相態(tài)預(yù)報(bào)產(chǎn)品(PTYPE)(分為雨、雨夾雪、雪和凍雨四類(lèi))進(jìn)行了系統(tǒng)性的檢驗(yàn)評(píng)估,包括細(xì)網(wǎng)格確定性模式預(yù)報(bào)產(chǎn)品和集合預(yù)報(bào)系統(tǒng)概率預(yù)報(bào)產(chǎn)品。結(jié)果顯示,ECMWF的確定性預(yù)報(bào)產(chǎn)品對(duì)四類(lèi)降水相態(tài)的正確率普遍達(dá)到90%以上,對(duì)降雨和降雪的TS評(píng)分也較高,凍雨次之,雨夾雪的TS評(píng)分較低,預(yù)報(bào)能力有限。確定性模式對(duì)我國(guó)雨雪分界線的預(yù)報(bào),普遍存在短期位置略偏南、中期隨時(shí)效延長(zhǎng)越來(lái)越偏北的誤差特點(diǎn),且對(duì)雨夾雪的預(yù)報(bào)范圍明顯偏小,對(duì)凍雨的預(yù)報(bào)范圍明顯偏大。集合預(yù)報(bào)系統(tǒng)從概率的角度一定程度上彌補(bǔ)了確定性模式的上述誤差。對(duì)概率預(yù)報(bào)的檢驗(yàn)結(jié)果顯示,集合預(yù)報(bào)系統(tǒng)降雨概率普遍偏低,降雪概率短期偏高、中期偏低,而雨夾雪和凍雨概率普遍偏低,但是都有一定的預(yù)報(bào)技巧。集合預(yù)報(bào)系統(tǒng)相對(duì)于確定性模式的優(yōu)勢(shì),降雨體現(xiàn)在較小花費(fèi)損失比事件的預(yù)報(bào)上,降雪體現(xiàn)在較大花費(fèi)損失比事件的預(yù)報(bào)上。對(duì)雨夾雪和凍雨,相對(duì)于確定性模式...
【文章來(lái)源】:氣象. 2020,46(09)北大核心CSCD
【文章頁(yè)數(shù)】:12 頁(yè)
【部分圖文】:
圖2?ECMWF?HRD?08時(shí)和20時(shí)起報(bào)的雨(a)、雨夾雪(b)、??雪(c)和凍雨(d)不同時(shí)效的TS評(píng)分??Fig.?2?ECMWF?HRD?precipitation?type?forecast?TS?of?rain?(a),??sleet?(b),snow?(c)???and?freezing?rain?(d)?with?different?lead?times??at?initial?times?of?08:?00?BT?and?20:?00?BT??
?I?I?I?1?I?1?I?II??3?12?24?36?48?60?72?84?96?108?123?138?153?168?183?198?213?228??預(yù)報(bào)時(shí)效/h??3?12?24?36?48?60?72?84?96?108?123?138?153?168?183?198?213?228??預(yù)報(bào)時(shí)效/h??3?12?24?36?48?60?72?84?96?108?123?138?153?16B?183?198?213?228??預(yù)報(bào)時(shí)效A???08時(shí)??20時(shí)??圖3?ECMWF?HRD08時(shí)和20時(shí)起報(bào)的雨(a)、雨夾雪(b)、雪(c)和凍雨(d)不同時(shí)效的Bias評(píng)分??Fig.?3?ECMWF?HRD?precipitation?type?forecast?Bias?of?rain?(a)???slat?(b)???snow?(c)?and?freezing?rain?(d)??with?different?lead?times?at?initial?times?of?08:?00?BT?and?20:?00?BT??蒿.中期時(shí)效內(nèi)概率預(yù)報(bào)略偏低的誤差特征。從降??雪擎季的頻數(shù)分布乘:#,不肩0#象淨(jìng)雪概率寶'報(bào)的??辨:新度都較好I:轉(zhuǎn)棒.雨〖.厲■和__?_夾雪??(圖4b}的概率預(yù)報(bào)可靠牲較低,而且都表現(xiàn)出預(yù)報(bào)??概率魯遍偏高_誤差蘚怔。但是二著不伺時(shí)效的概??率預(yù)報(bào)辨析度都較高。值得關(guān)注的是,雖然二者的??可靠性較低5但是?應(yīng)高概'率的預(yù)報(bào),發(fā)生頻數(shù)相對(duì)??來(lái)說(shuō)也是最高的,表現(xiàn)出一道,的預(yù)報(bào)技巧3另外,雖??然凍雨的樣本數(shù)明顯低T雨夾雪,但是前者的概率??預(yù)稂技巧高于磨者,也說(shuō)明了雨桌雪
1216??第46卷??0.0-??I?I??0.0?0.2?0.4?0.6?0.8?1.0??預(yù)報(bào)槪率??0.0-??0.0??0.2??0.4?0.6??預(yù)報(bào)概率??0.8??1.0???24?h???72?h??120?h??168?h?240?h??圖4?ECMWF?EPS?08時(shí)起報(bào)的雨(a)、雨夾雪(b)、??雪(c)和凍雨(d)概率預(yù)報(bào)不同時(shí)效的可靠性曲線??Fig.?4?The?ECMWF?EPS?probability?forecast?reliability?diagram?of?rain?(a)?,?sleet?(b)?,?snow?(c)??and?freezing?rain?(d)?with?different?lead?times?at?initial?time?of?08:00?BT??供不同命中率前預(yù)報(bào)決策,Si—優(yōu)勢(shì)在:枏對(duì)靈濟(jì)價(jià)??偉(舞6>的評(píng)棲中參迸一步體規(guī)出來(lái)s?_爾:(圖3兩??和雨央雪(ffl?5b)的概卓預(yù)報(bào)技巧較爾和_明顯降??低,但凍雨依然優(yōu)于雨夾雪。與可_性曲線(圖4)??的種;H擊..梁一致勢(shì)外凍補(bǔ).和爾.夾雪HRD的益報(bào)??率和命中專(zhuān)點(diǎn)落在EPS的R0C曲線上,說(shuō)明對(duì)凍??雨和雨夾雪,EPS較HRD體現(xiàn)出了明顯的優(yōu)勢(shì)。??圖e所示:為EPS和HKD翁爾,嫌.夾雪、雪ff揀??雨不同'時(shí)效概率預(yù)報(bào)和確定性預(yù)報(bào)斷最太相對(duì)備濟(jì)??價(jià)值。在降雨預(yù)報(bào)的相對(duì)經(jīng)濟(jì)價(jià)值.檢驗(yàn)中(圖6a),??對(duì)于花費(fèi)損失比(C/i)大于0.6的事件.HRD對(duì)降??雨預(yù)報(bào)的相對(duì)經(jīng)。濟(jì)價(jià)值略太于EPS,表現(xiàn)出相對(duì)于??EPS的優(yōu)勢(shì),與圖Sa中對(duì)于降爾HRD預(yù)報(bào)空?qǐng)?bào)率?
【參考文獻(xiàn)】:
期刊論文
[1]集合模式定量降水預(yù)報(bào)的統(tǒng)計(jì)后處理技術(shù)研究綜述[J]. 代刊,朱躍建,畢寶貴. 氣象學(xué)報(bào). 2018(04)
[2]基于ECMWF集合預(yù)報(bào)的極端天氣預(yù)報(bào)產(chǎn)品應(yīng)用和檢驗(yàn)[J]. 董全,代刊,陶亦為,周軍. 氣象. 2017(09)
[3]ECMWF集合預(yù)報(bào)和確定性預(yù)報(bào)對(duì)淮河流域暴雨預(yù)報(bào)的對(duì)比分析[J]. 董全,金榮花,代刊,康志明. 氣象. 2016(09)
[4]定量降水預(yù)報(bào)技術(shù)進(jìn)展[J]. 畢寶貴,代刊,王毅,符嬌蘭,曹勇,劉湊華. 應(yīng)用氣象學(xué)報(bào). 2016(05)
[5]人工神經(jīng)網(wǎng)絡(luò)法和線性回歸法對(duì)降水相態(tài)的預(yù)報(bào)效果對(duì)比[J]. 董全,黃小玉,宗志平. 氣象. 2013(03)
[6]我國(guó)冬季凍雨和冰粒天氣的形成機(jī)制及預(yù)報(bào)著眼點(diǎn)[J]. 漆梁波. 氣象. 2012(07)
[7]我國(guó)凍雨時(shí)空分布及溫濕結(jié)構(gòu)特征分析[J]. 歐建軍,周毓荃,楊棋,潘留杰. 高原氣象. 2011(03)
本文編號(hào):3521741
【文章來(lái)源】:氣象. 2020,46(09)北大核心CSCD
【文章頁(yè)數(shù)】:12 頁(yè)
【部分圖文】:
圖2?ECMWF?HRD?08時(shí)和20時(shí)起報(bào)的雨(a)、雨夾雪(b)、??雪(c)和凍雨(d)不同時(shí)效的TS評(píng)分??Fig.?2?ECMWF?HRD?precipitation?type?forecast?TS?of?rain?(a),??sleet?(b),snow?(c)???and?freezing?rain?(d)?with?different?lead?times??at?initial?times?of?08:?00?BT?and?20:?00?BT??
?I?I?I?1?I?1?I?II??3?12?24?36?48?60?72?84?96?108?123?138?153?168?183?198?213?228??預(yù)報(bào)時(shí)效/h??3?12?24?36?48?60?72?84?96?108?123?138?153?168?183?198?213?228??預(yù)報(bào)時(shí)效/h??3?12?24?36?48?60?72?84?96?108?123?138?153?16B?183?198?213?228??預(yù)報(bào)時(shí)效A???08時(shí)??20時(shí)??圖3?ECMWF?HRD08時(shí)和20時(shí)起報(bào)的雨(a)、雨夾雪(b)、雪(c)和凍雨(d)不同時(shí)效的Bias評(píng)分??Fig.?3?ECMWF?HRD?precipitation?type?forecast?Bias?of?rain?(a)???slat?(b)???snow?(c)?and?freezing?rain?(d)??with?different?lead?times?at?initial?times?of?08:?00?BT?and?20:?00?BT??蒿.中期時(shí)效內(nèi)概率預(yù)報(bào)略偏低的誤差特征。從降??雪擎季的頻數(shù)分布乘:#,不肩0#象淨(jìng)雪概率寶'報(bào)的??辨:新度都較好I:轉(zhuǎn)棒.雨〖.厲■和__?_夾雪??(圖4b}的概率預(yù)報(bào)可靠牲較低,而且都表現(xiàn)出預(yù)報(bào)??概率魯遍偏高_誤差蘚怔。但是二著不伺時(shí)效的概??率預(yù)報(bào)辨析度都較高。值得關(guān)注的是,雖然二者的??可靠性較低5但是?應(yīng)高概'率的預(yù)報(bào),發(fā)生頻數(shù)相對(duì)??來(lái)說(shuō)也是最高的,表現(xiàn)出一道,的預(yù)報(bào)技巧3另外,雖??然凍雨的樣本數(shù)明顯低T雨夾雪,但是前者的概率??預(yù)稂技巧高于磨者,也說(shuō)明了雨桌雪
1216??第46卷??0.0-??I?I??0.0?0.2?0.4?0.6?0.8?1.0??預(yù)報(bào)槪率??0.0-??0.0??0.2??0.4?0.6??預(yù)報(bào)概率??0.8??1.0???24?h???72?h??120?h??168?h?240?h??圖4?ECMWF?EPS?08時(shí)起報(bào)的雨(a)、雨夾雪(b)、??雪(c)和凍雨(d)概率預(yù)報(bào)不同時(shí)效的可靠性曲線??Fig.?4?The?ECMWF?EPS?probability?forecast?reliability?diagram?of?rain?(a)?,?sleet?(b)?,?snow?(c)??and?freezing?rain?(d)?with?different?lead?times?at?initial?time?of?08:00?BT??供不同命中率前預(yù)報(bào)決策,Si—優(yōu)勢(shì)在:枏對(duì)靈濟(jì)價(jià)??偉(舞6>的評(píng)棲中參迸一步體規(guī)出來(lái)s?_爾:(圖3兩??和雨央雪(ffl?5b)的概卓預(yù)報(bào)技巧較爾和_明顯降??低,但凍雨依然優(yōu)于雨夾雪。與可_性曲線(圖4)??的種;H擊..梁一致勢(shì)外凍補(bǔ).和爾.夾雪HRD的益報(bào)??率和命中專(zhuān)點(diǎn)落在EPS的R0C曲線上,說(shuō)明對(duì)凍??雨和雨夾雪,EPS較HRD體現(xiàn)出了明顯的優(yōu)勢(shì)。??圖e所示:為EPS和HKD翁爾,嫌.夾雪、雪ff揀??雨不同'時(shí)效概率預(yù)報(bào)和確定性預(yù)報(bào)斷最太相對(duì)備濟(jì)??價(jià)值。在降雨預(yù)報(bào)的相對(duì)經(jīng)濟(jì)價(jià)值.檢驗(yàn)中(圖6a),??對(duì)于花費(fèi)損失比(C/i)大于0.6的事件.HRD對(duì)降??雨預(yù)報(bào)的相對(duì)經(jīng)。濟(jì)價(jià)值略太于EPS,表現(xiàn)出相對(duì)于??EPS的優(yōu)勢(shì),與圖Sa中對(duì)于降爾HRD預(yù)報(bào)空?qǐng)?bào)率?
【參考文獻(xiàn)】:
期刊論文
[1]集合模式定量降水預(yù)報(bào)的統(tǒng)計(jì)后處理技術(shù)研究綜述[J]. 代刊,朱躍建,畢寶貴. 氣象學(xué)報(bào). 2018(04)
[2]基于ECMWF集合預(yù)報(bào)的極端天氣預(yù)報(bào)產(chǎn)品應(yīng)用和檢驗(yàn)[J]. 董全,代刊,陶亦為,周軍. 氣象. 2017(09)
[3]ECMWF集合預(yù)報(bào)和確定性預(yù)報(bào)對(duì)淮河流域暴雨預(yù)報(bào)的對(duì)比分析[J]. 董全,金榮花,代刊,康志明. 氣象. 2016(09)
[4]定量降水預(yù)報(bào)技術(shù)進(jìn)展[J]. 畢寶貴,代刊,王毅,符嬌蘭,曹勇,劉湊華. 應(yīng)用氣象學(xué)報(bào). 2016(05)
[5]人工神經(jīng)網(wǎng)絡(luò)法和線性回歸法對(duì)降水相態(tài)的預(yù)報(bào)效果對(duì)比[J]. 董全,黃小玉,宗志平. 氣象. 2013(03)
[6]我國(guó)冬季凍雨和冰粒天氣的形成機(jī)制及預(yù)報(bào)著眼點(diǎn)[J]. 漆梁波. 氣象. 2012(07)
[7]我國(guó)凍雨時(shí)空分布及溫濕結(jié)構(gòu)特征分析[J]. 歐建軍,周毓荃,楊棋,潘留杰. 高原氣象. 2011(03)
本文編號(hào):3521741
本文鏈接:http://sikaile.net/projectlw/qxxlw/3521741.html
最近更新
教材專(zhuān)著