气象科技进展
氣象科技進展
기상과기진전
Advances in Meteorological Science and Technology
2013年
4期
18-31
,共14页
王祥%邹晓蕾%翁富忠%游然
王祥%鄒曉蕾%翁富忠%遊然
왕상%추효뢰%옹부충%유연
风云三号A星%频率漂移%微波温度计
風雲三號A星%頻率漂移%微波溫度計
풍운삼호A성%빈솔표이%미파온도계
FengYun-3A (FY-3A)%frequency shift%Micro-Wave Temperature Sounder (MWTS)
搭载在风云三号A星上的微波温度计(MWTS)有4个通道。通道1~4的中心频率分别为50.3,53.6,54.9和57.3GHz。Lu等[1]指出风云三号A星成功进入轨道后,3个高层通道(通道2~4)的中心频率发生了漂移。Zou等[2]指出通道2~4的资料偏差随温度变化而变化。本文指出风云三号A星微波温度计资料偏差对温度的依赖性是由频率漂移引起的,并提出了解决这些资料在数值预报和气候研究应用中的相应措施。对于数值预报而言,只要在快速辐射传输模式中采用逐线积分模式和漂移后的频率产生一套新系数,就可以使用该快速辐射传输模式做资料同化。为了要把风云三号A星微波温度计资料接到NOAA系列和欧洲卫星相应仪器资料,可以用快速辐射传输模式估计由频率漂移引起的偏差,并将此偏差从观测中减去。本文利用2010年一年MetOp-A/NOAA-18微波温度计(AMSU-A)与风云三号A星微波温度计在南北两极的星下点同时过境处(SNO)资料,证明了该方法的可行性。
搭載在風雲三號A星上的微波溫度計(MWTS)有4箇通道。通道1~4的中心頻率分彆為50.3,53.6,54.9和57.3GHz。Lu等[1]指齣風雲三號A星成功進入軌道後,3箇高層通道(通道2~4)的中心頻率髮生瞭漂移。Zou等[2]指齣通道2~4的資料偏差隨溫度變化而變化。本文指齣風雲三號A星微波溫度計資料偏差對溫度的依賴性是由頻率漂移引起的,併提齣瞭解決這些資料在數值預報和氣候研究應用中的相應措施。對于數值預報而言,隻要在快速輻射傳輸模式中採用逐線積分模式和漂移後的頻率產生一套新繫數,就可以使用該快速輻射傳輸模式做資料同化。為瞭要把風雲三號A星微波溫度計資料接到NOAA繫列和歐洲衛星相應儀器資料,可以用快速輻射傳輸模式估計由頻率漂移引起的偏差,併將此偏差從觀測中減去。本文利用2010年一年MetOp-A/NOAA-18微波溫度計(AMSU-A)與風雲三號A星微波溫度計在南北兩極的星下點同時過境處(SNO)資料,證明瞭該方法的可行性。
탑재재풍운삼호A성상적미파온도계(MWTS)유4개통도。통도1~4적중심빈솔분별위50.3,53.6,54.9화57.3GHz。Lu등[1]지출풍운삼호A성성공진입궤도후,3개고층통도(통도2~4)적중심빈솔발생료표이。Zou등[2]지출통도2~4적자료편차수온도변화이변화。본문지출풍운삼호A성미파온도계자료편차대온도적의뢰성시유빈솔표이인기적,병제출료해결저사자료재수치예보화기후연구응용중적상응조시。대우수치예보이언,지요재쾌속복사전수모식중채용축선적분모식화표이후적빈솔산생일투신계수,취가이사용해쾌속복사전수모식주자료동화。위료요파풍운삼호A성미파온도계자료접도NOAA계렬화구주위성상응의기자료,가이용쾌속복사전수모식고계유빈솔표이인기적편차,병장차편차종관측중감거。본문이용2010년일년MetOp-A/NOAA-18미파온도계(AMSU-A)여풍운삼호A성미파온도계재남북량겁적성하점동시과경처(SNO)자료,증명료해방법적가행성。
The MicroWave Temperature Sounder (MWTS) on FY-3A has four channels with designed band central frequencies of 50.3, 53.6, 54.9, and 57.3 GHz, respectively. Lu et al.[1] found that the central frequency for three upper level sounding channels shifted after the satellite launch into orbit. This study conifrms the ifndings Lu et al. using a different numerical weather prediction (NWP) model and a different radiative transfer model. Furthermore, it is shown that the strong temperature dependence of MWTS O?BDF biases found in our earlier work is mostly induced by these frequency shifts, where O represents MWTS observations and BDF is model simulations. The mean difference of brightness temperature simulations with (BSF) and without (BSF) incorporating the frequency shifts into the radiative transfer model resembles the O?BSF biases. For NWP applications of FY-3A MWTS data, it is sufifcient to generate new fast radiative transfer model coefifcients that incorporate the new passband parameters, and the resulting MWTS O?Bshifted biases become constant as those of MetOp-A/NOAA-18 AMSU-A data. For climate applications, the FY-3A MWTS brightness temperatures adjusted by subtracting BSF?BDF match quite well with the MetOp-A/NOAA-18 AMSU-A data at the simultaneous nadir overpass locations in both the Arctic and Antarctic.