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浪—流耦合海洋環(huán)境數(shù)值預(yù)報(bào)系統(tǒng)業(yè)務(wù)化檢驗(yàn)

發(fā)布時(shí)間:2018-03-16 22:46

  本文選題:業(yè)務(wù)化預(yù)報(bào)檢驗(yàn) 切入點(diǎn):有效波高 出處:《國家海洋局第一海洋研究所》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:本文對(duì)國家海洋局第一海洋研究所發(fā)展建設(shè)的全球和印度洋海域浪-流耦合海洋環(huán)境數(shù)值預(yù)報(bào)系統(tǒng)所提供的預(yù)報(bào)產(chǎn)品進(jìn)行了業(yè)務(wù)化檢驗(yàn)。利用Jason-2衛(wèi)星高度計(jì)數(shù)據(jù)、NDBC浮標(biāo)觀測(cè)波高數(shù)據(jù)、TAO/TRITON(Pacific),PIRATA(Atlantic),RAMA(Indian)浮標(biāo)觀測(cè)海表面溫度數(shù)據(jù)、AVHRR海表面溫度合成數(shù)據(jù)和Argo剖面溫度數(shù)據(jù),對(duì)全球和印度洋海域預(yù)報(bào)系統(tǒng)24、48和72小時(shí)有效波高、海表面溫度、剖面溫度和混合層深度的預(yù)報(bào)結(jié)果進(jìn)行了檢驗(yàn)分析,給出了長時(shí)間的檢驗(yàn)結(jié)果,檢驗(yàn)時(shí)間段為2010年1月到2013年11月,共47個(gè)月。 首先,對(duì)全球預(yù)報(bào)系統(tǒng)的產(chǎn)品進(jìn)行了檢驗(yàn)。24小時(shí)預(yù)報(bào)波高的平均誤差范圍在0.13-0.33m之間,絕均差范圍在0.41-0.51m之間,均方根誤差范圍在0.54-0.67m之間,散度指數(shù)在0.19-0.22之間。48小時(shí)預(yù)報(bào)波高的平均誤差范圍在0.14-0.33m之間,絕均差范圍在0.43-0.53m之間,均方根誤差范圍在0.58-0.71m之間,散度指數(shù)在0.20-0.25之間。72小時(shí)預(yù)報(bào)波高的平均誤差范圍在0.13-0.33m之間,絕均差范圍在0.47-0.56m之間,均方根誤差范圍在0.63-0.75m之間,散度指數(shù)在0.23-0.25之間。赤道太平洋區(qū)域(20oS-10oN,150oE-120oW)預(yù)報(bào)波高偏大0.65m左右;預(yù)報(bào)波高隨預(yù)報(bào)時(shí)效的增加,預(yù)報(bào)誤差增大,尤其在北太平洋和南緯45°以南區(qū)域。全球區(qū)域預(yù)報(bào)海表面溫度平均誤差在0.05-0.5℃之間,絕均差在0.75-1.05℃之間;但在西北太平洋(25oN-45oN,150oE-150oW)和北美洲東南部(30oN-50oN,30oW-60oW)預(yù)報(bào)海表面溫度偏低2℃左右,且在北半球夏季誤差最大;西經(jīng)130oW-180oW赤道位置,,在北半球夏季和秋季,預(yù)報(bào)海表面溫度偏低約2℃左右;其他海域,除邊界外,預(yù)報(bào)效果較好,絕均差在0到0.85℃之間。剖面溫度的平均誤差的范圍在-0.26到-0.36℃之間,絕均差在0.81到0.90℃之間,均方根誤差在1.19到1.35℃之間。從整體上看,24、48、72小時(shí)預(yù)報(bào)的海表面溫度和剖面溫度差異不大。 其次,對(duì)印度洋預(yù)報(bào)系統(tǒng)的產(chǎn)品進(jìn)行了檢驗(yàn)。利用Argo浮標(biāo)資料和Rama浮標(biāo)資料對(duì)印度洋海洋環(huán)境數(shù)值預(yù)報(bào)系統(tǒng)自2010年3月6日到2013年5月31日的24小時(shí)混合層深度產(chǎn)品進(jìn)行了預(yù)報(bào)精度檢驗(yàn)。與Argo浮標(biāo)數(shù)據(jù)對(duì)比表明:預(yù)報(bào)與觀測(cè)絕對(duì)平均誤差為13m,24小時(shí)混合層深度預(yù)報(bào)平均偏淺10m以內(nèi);對(duì)蘇門答臘島附近海域(5oS-4oN,87o-99oE)的混合層深度預(yù)報(bào)平均偏淺20m,可能是由于此處預(yù)報(bào)風(fēng)速偏小造成的;其它海域預(yù)報(bào)能力較高,尤其對(duì)熱帶中南印度洋區(qū)域(5o-17oS,63o-96oE)平均誤差集中在-2~2m。分海域檢驗(yàn)對(duì)比結(jié)果表明:該預(yù)報(bào)系統(tǒng)能很好的預(yù)測(cè)出阿拉伯海(60o-70oE,10o-20oN)和孟加拉灣(85o-93oE,10o-18oN)處混合層半年周期變化特征;熱帶南印度洋(60o-80oE,15o-19oS)混合層呈現(xiàn)明顯季節(jié)變化特征,且在每年8、9月份達(dá)到最大值;熱帶外南印度洋(45o-70oE,0o-10oS)混合層常年較為淺;Argo與Rama數(shù)據(jù)所得結(jié)果一致;預(yù)報(bào)系統(tǒng)對(duì)上述特征均能很好地預(yù)測(cè)。
[Abstract]:In this paper, the forecast products provided by the global and Indian Ocean coupled ocean environment numerical forecasting system developed by the first Oceanographic Research Institute of the State Oceanic Administration have been tested. The Jason-2 satellite altimeter data have been used to test the prediction products. The observed wave height data of the NDBC buoy are as follows: TAO / TRITON / Pacific / PIRATATATATATATATIAN Indian data) buoy observation of sea surface temperature data, AVHRR sea surface temperature synthesis data and Argo profile temperature data, The prediction results of effective wave height, sea surface temperature, profile temperature and mixing layer depth of the global and Indian Ocean area forecasting systems at 24 ~ 48 and 72 hours are tested and analyzed, and the results are given for a long time. The inspection period was from January 2010 to November 2013 for 47 months. First of all, the average error range of 24 hours forecast wave height is between 0.13-0.33 m, the absolute average error range is 0.41-0.51m, and the root mean square error range is 0.54-0.67m. The average error range of wave height is 0.14-0.33m, the absolute mean difference is 0.43-0.53m, the root mean square error is 0.58-0.71m, the divergence index is 0.20-0.25 .72 hours, the average error range of wave height is 0.13-0.33m. The absolute mean difference ranges from 0.47-0.56m, root-mean-square error between 0.63-0.75m, divergence index between 0.23-0.25. The predicted wave height in the equatorial Pacific region is about 0.65m larger than that in the equatorial Pacific region. Especially in the region south of North Pacific Ocean and 45 擄S latitude. The global regional mean error of sea surface temperature is between 0.05-0.5 鈩

本文編號(hào):1621993

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