星載微波輻射計(jì)中高海況海氣界面氣象參數(shù)信息提取技術(shù)
發(fā)布時(shí)間：2019-04-10 21:20
【摘要】：在中等海況下,星載微波輻射計(jì)可以大范圍獲取海面風(fēng)速等海氣界面氣象要素信息。然而,在臺(tái)風(fēng)、颶風(fēng)等高海況環(huán)境下,由于微波輻射計(jì)業(yè)務(wù)化的風(fēng)速反演算法是基于中高頻的微波數(shù)據(jù)來(lái)反演海面風(fēng)速,而相較于受降雨和大氣水蒸汽影響較小的低頻微波信號(hào),10.7 GHz以上的高頻微波信號(hào)受雨滴和水蒸氣的影響很大。因此,目前輻射計(jì)業(yè)務(wù)化算法無(wú)法獲取高海況下海面風(fēng)速的信息。本文主要研究颶風(fēng)、臺(tái)風(fēng)等高海況下輻射計(jì)海面風(fēng)速反演算法。由于6.9GHz水平極化通道的亮溫對(duì)海面風(fēng)速敏感且對(duì)雨滴和大氣水蒸氣不敏感,因此本文利用搭載在AQUA衛(wèi)星和GCOM-W1衛(wèi)星上的被動(dòng)式微波輻射計(jì)AMSR-E和AMSR2 6.9 GHz水平極化通道的亮溫資料來(lái)反演2002-2014年北大西洋颶風(fēng)海況下的海面風(fēng)速。AMSR-E和AMSR2在2002-2014年與SFMR匹配的數(shù)據(jù)集共包含53個(gè)颶風(fēng)的信息�；谛⌒甭市_動(dòng)模型(SSA/SPM)和高風(fēng)速海面粗糙度譜(H13譜)結(jié)合亮溫資料可反演海面風(fēng)速,并且可利用SFMR的觀測(cè)結(jié)果來(lái)驗(yàn)證反演精度。風(fēng)速的反演結(jié)果和SFMR的觀測(cè)值相比,2002-2014年的統(tǒng)計(jì)反演偏差和均方根誤差分別為1.11和4.34 m/s,表明在高海況條件下本文的高風(fēng)速反演算法可獲得較為準(zhǔn)確的海面風(fēng)速信息。而颶風(fēng)Earl的風(fēng)速反演偏差和均方根誤差分別為1.08和3.93 m/s；颶風(fēng)Edouard的偏差和均方根誤差分別為0.09和3.23m/s。并且AMSR-E和AMSR2連續(xù)三天的颶風(fēng)風(fēng)速反演結(jié)果清晰地反映了颶風(fēng)增強(qiáng)和減弱的過(guò)程；同時(shí)臺(tái)風(fēng)梅花和燦鴻的反演結(jié)果也說(shuō)明本文的反演算法同樣可監(jiān)測(cè)臺(tái)風(fēng)的動(dòng)態(tài)特征。在高海況環(huán)境下,本研究也基于AMSR-E和AMSR2 6.9 GHz水平和垂直極化通道的亮溫資料來(lái)反演海表溫度,反演結(jié)果與SFMR和HYCOM的海溫?cái)?shù)據(jù)相比,偏差和均方根誤差分別為0和2.52℃。此外本文還驗(yàn)證了中等海況條件下反演算法對(duì)風(fēng)速和海溫的適用性,結(jié)果均表明本文的算法同樣可獲取中等海況下海面風(fēng)速和海表溫度的信息。在高海況海面風(fēng)速和海表溫度的反演過(guò)程中,海表溫度、菲涅爾反射系數(shù)、粗糙度譜、降雨等參數(shù)會(huì)影響海面風(fēng)速和海表溫的反演精度,因此在將來(lái)的研究中需要對(duì)這些影響因子進(jìn)行校正,去除降雨對(duì)亮溫信號(hào)的影響,進(jìn)一步提高風(fēng)速和海溫的反演精度。
[Abstract]:In medium sea conditions, space-borne microwave radiometer can obtain meteorological elements of sea-air interface in a wide range, such as sea surface wind speed and so on. However, in high sea conditions such as typhoons and hurricanes, due to the operation of microwave radiometer wind speed inversion algorithm is based on the middle and high frequency microwave data to retrieve the sea surface wind speed. Compared with the low-frequency microwave signals which are less affected by rainfall and atmospheric water vapor, the high-frequency microwave signals above 10.7 GHz are greatly affected by rain droplets and water vapor. Therefore, at present, the radiometer operational algorithm can not obtain the information of sea surface wind speed under high sea conditions. This paper mainly studies the inversion algorithm of sea surface wind velocity by radiometer under the condition of hurricane and typhoon. Because the brightness temperature of the 6.9GHz horizontal polarization channel is sensitive to sea surface wind speed and not to rain droplets and atmospheric water vapor, Therefore, the brightness temperature data of the horizontal polarization channels of the passive microwave radiometers AMSR-E and AMSR2 6.9 GHz carried on the AQUA and GCOM-W1 satellites are used to retrieve the sea surface wind speed under the sea conditions of the North Atlantic Hurricane from 2002 to 2014. The data set of AMSR-E and AMSR2 matching SFMR in 2002-2014 contains 53 hurricanes. Based on the small slope and small disturbance model (SSA/SPM) and the high wind speed sea surface roughness spectrum (H13 spectrum), the sea surface wind speed can be retrieved by combining the bright temperature data, and the inversion accuracy can be verified by the observation results of SFMR. Compared with the SFMR observations, the statistical inversion deviation and root mean square error for 2002-2014 are 1.11 and 4.34 mm2, respectively. It is shown that the high wind speed inversion algorithm presented in this paper can obtain more accurate information of sea surface wind speed under high sea conditions. The wind speed inversion deviation and root mean square error of Hurricane Earl are 1.08 and 3.93 mm2 respectively, and the deviation and root mean square error of Hurricane Edouard are 0.09 and 3.23 mm2 respectively. The inversion results of hurricane wind speed of AMSR-E and AMSR2 for three consecutive days clearly reflect the process of hurricane enhancement and decrease, and the inversion results of typhoon Meihua and Canhong also show that the inversion algorithm presented in this paper can also monitor the dynamic characteristics of typhoon. In high sea conditions, the sea surface temperature is also retrieved based on the bright temperature data of AMSR-E and AMSR2 6.9 GHz horizontal and vertical polarization channels. The results are compared with the SST data of SFMR and HYCOM. The deviation and root mean square error are 0 鈩，
本文編號(hào)：2456142
[Abstract]:In medium sea conditions, space-borne microwave radiometer can obtain meteorological elements of sea-air interface in a wide range, such as sea surface wind speed and so on. However, in high sea conditions such as typhoons and hurricanes, due to the operation of microwave radiometer wind speed inversion algorithm is based on the middle and high frequency microwave data to retrieve the sea surface wind speed. Compared with the low-frequency microwave signals which are less affected by rainfall and atmospheric water vapor, the high-frequency microwave signals above 10.7 GHz are greatly affected by rain droplets and water vapor. Therefore, at present, the radiometer operational algorithm can not obtain the information of sea surface wind speed under high sea conditions. This paper mainly studies the inversion algorithm of sea surface wind velocity by radiometer under the condition of hurricane and typhoon. Because the brightness temperature of the 6.9GHz horizontal polarization channel is sensitive to sea surface wind speed and not to rain droplets and atmospheric water vapor, Therefore, the brightness temperature data of the horizontal polarization channels of the passive microwave radiometers AMSR-E and AMSR2 6.9 GHz carried on the AQUA and GCOM-W1 satellites are used to retrieve the sea surface wind speed under the sea conditions of the North Atlantic Hurricane from 2002 to 2014. The data set of AMSR-E and AMSR2 matching SFMR in 2002-2014 contains 53 hurricanes. Based on the small slope and small disturbance model (SSA/SPM) and the high wind speed sea surface roughness spectrum (H13 spectrum), the sea surface wind speed can be retrieved by combining the bright temperature data, and the inversion accuracy can be verified by the observation results of SFMR. Compared with the SFMR observations, the statistical inversion deviation and root mean square error for 2002-2014 are 1.11 and 4.34 mm2, respectively. It is shown that the high wind speed inversion algorithm presented in this paper can obtain more accurate information of sea surface wind speed under high sea conditions. The wind speed inversion deviation and root mean square error of Hurricane Earl are 1.08 and 3.93 mm2 respectively, and the deviation and root mean square error of Hurricane Edouard are 0.09 and 3.23 mm2 respectively. The inversion results of hurricane wind speed of AMSR-E and AMSR2 for three consecutive days clearly reflect the process of hurricane enhancement and decrease, and the inversion results of typhoon Meihua and Canhong also show that the inversion algorithm presented in this paper can also monitor the dynamic characteristics of typhoon. In high sea conditions, the sea surface temperature is also retrieved based on the bright temperature data of AMSR-E and AMSR2 6.9 GHz horizontal and vertical polarization channels. The results are compared with the SST data of SFMR and HYCOM. The deviation and root mean square error are 0 鈩，
本文編號(hào)：2456142
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