基于光谱分析和综合阈值的FY-3/MERSI云检测

云检测是卫星遥感影像应用中的重要环节。为了获取FY-3中分辨率光谱成像仪(Medium Resolution Spectral Imager,MERSI)传感器精确的云掩膜数据,在分析云与植被、水体、裸露地表等地物在不同波段光谱差异的基础上,结合FY-3/MERSI数据的通道特性,构建基于多光谱和综合阈值的云检测算法。采用热红外通道亮温(CH_5)检测出高云,使用云检测指数(Normalized Cloud Detection Index,I_(NCD))和可见光波段反射率(CH_3)检测中低云。利用江西地区的FY-3/MERSI数据进行应用,将检测结果与其他算法、人机交互解译结果进行了对比分析。结果表明,该算法对FY-3/MERSI影像上的云区具有较好的检测效果,同时利用地面气象观测资料进行验证,检测精度均高于88%,能够满足当前云检测精度需求。     

基于FY-3D卫星的微波与光学陆表温度融合研究

目前还没有基于国产卫星的1 km分辨率的全天候陆表温度(LST)产品,FY-3D卫星提供了中分辨率成像仪(MERSI)Ⅱ型1 km分辨率晴空LST产品与微波成像仪(MWRI)25 km全天候LST产品,因此可结合两者优势开展全天候1 km分辨率LST的融合研究。基于地理加权回归(GWR)方法,选择海拔、FY-3D归一化植被指数和归一化建筑指数等建立GWR模型对FY-3D/MWRI 25 km LST降尺度到1 km,并与MERSI 1 km LST进行融合;同时针对MWRI轨道间隙,利用前后1天融合后的云覆盖像元1 km LST进行补值,可以得到接近全天候下的1 km LST。基于以上融合算法,选择了中国区域多个典型日期FY-3D/MERSI和MWRI LST官网产品进行了融合试验,并利用公开发布的全天候1 km LST产品(TPDC LST)对FY-3D1 km LST融合结果进行了评估。研究结果表明,基于GWR法的LST降尺度方法,可以有效避免传统微波LST降尺度方法中存在的“斑块”效应和局地温度偏低等问题;LST融合结果有值率从融合前的22.4%～36.9%可提高到融合后69.3...     

FY-4A AGRI热红外通道辐射定标的精确外场评估

Fengyun-4A(FY-4A)卫星是2016年12月11日发射的我国新一代对地静止气象卫星,它配备了先进的成像仪和测深仪,可提供高时空和光谱分辨率的探测信息,用于天气气候相关的监测、预警和预报。多通道扫描成像辐射计(AGRI)是FY-4A卫星平台挂载的关键辐射成像仪器,重点用于云观测,并利用高时间分辨率的特征进行天气过程追踪。AGRI的红外辐射通道具有全光路的星上红外定标系统,与FY-2上的红外可见自旋扫描辐射计(VISSR)相比,无论在定量标定、成像速度和空间分辨率方面均有了显著改善。FY-4A AGRI的在轨运行状态和星上辐射定标水平的精确评估,对红外通道产品应用具有重大意义。     

FY-3A MWHS资料的质量控制——以四川“8.19”暴雨为例

FY-3A MWHS微波湿度计辐射率资料空间分辨率高,同化后能有效地提高中尺度系统的数值预报的准确率。但如果不进行质量控制,任由误差大的离群微波资料进入同化系统,将会降低分析场精度,影响预报准确率。本文选取2010年8月17~19日的暴雨个例,应用主成分分析(PCA)方法,找出FY-3A微波湿度计数据中的离群值。结果表明:采用PCA方法,3天的资料总共识别出148个离群值样本,占总数的19.3%,其中通道三离群值占5.5%,通道四离群值占8.2%,通道五占5.4%。去除这些离群值后的MWHS数据总体分布,更靠近数据中心,各EOF方差贡献更加平滑。这说明PCA方法是一种可以抵抗少数离群值对总平均值影响的有效质量控制方法。      

FY-3C微波湿温探测仪辐射测量特性

2013年9月发射的FY-3C是我国第2代极轨气象卫星的第3颗星,其上装载的微波湿温探测仪在118 GHz氧气吸收线和183 GHz水汽吸收线设计了两组大气探测通道,在大气窗区设置了89 GHz和150 GHz探测通道。为保证微波湿温探测仪在轨定量应用,卫星发射前完成了地面热真空试验。该文介绍了热真空定标试验原理,并对FY-3C微波湿温探测仪正样产品真空试验数据进行了定量分析。数据分析结果表明:FY-3C微波湿温探测仪正样产品15个探测通道的灵敏度均满足设计指标要求,各通道观测亮温间相对独立,定标准确度优于1.6 K,真空试验过程中微波湿温探测仪定标结果稳定。FY-3C微波湿温探测仪发射前热真空定标特性分析结果为仪器在轨定量应用奠定了基础。     

FY-3B/MWHS性能参数在轨实时监测

2010年11月5日发射的风云三号B星 (FY-3B) 是我国第2代极轨气象卫星的第2颗星。其上装载的微波湿度计 (MWHS) 在183 GHz水汽吸收线设计了3个大气探测通道,在大气窗区150 GHz设置了双极化通道。该文主要对FY-3B微波湿度计系统进行介绍,分析其在轨5年的性能,对仪器在轨关键性能参数进行了长时间序列分析,结果表明:仪器各通道灵敏度均优于0.4 K,其中通道1,2,4,5的灵敏度优于0.3 K,定标精度稳定在0.3~0.55 K,未出现恶化现象, 同类型在轨载荷星下点处匹配数据交叉比对,相关系数优于96%。分析表明,该仪器在轨性能和数据质量均优于FY-3A微波湿度计。同时,利用微波湿度计实测数据,着重分析2015年6—7月若干台风的生成、演化、增强和消亡的整个过程,并对台风区域强降雨监测进行分析。     

AMSR-E数据参数化法反演液态云水路径研究

液态云水路径是气象学和云雾物理的一个重要参数,其定量测量对气候变化及灾害性天气的监测和预报均具有十分重要的作用.本文利用AUQA卫星携带的微波成像仪AMSR-E和中分辨率成像光谱仪MODIS确定微波极化通道亮温与大气含水量ω的关系,并改进双极化参数法.结果表明:利用AMSR-E的89.0 GHz和36.5 GHz微波极化通道亮温数据可直接反演液态云水路径,并可依据MODIS反演的大气含水量ω将反演分辨率估算至1 km.反演结果与MODIS云图路径吻合,与NCEP 1°×1°的6 h液态云水路径垂直积分总含量资料进行对比,表明反演结果误差小于0.04 kg·m~(-2).     

一套基于FY-3B/MWRI观测的热带气旋微波亮温数据集

利用风云三号B星(FY-3B)微波成像仪(Microwave Radiation Imager,MWRI)一级亮温数据和每6 h一次的热带气旋(tropical cyclone, TC)最佳路径数据进行时空匹配,建立了TC微波亮温数据集。该数据集包含了2011—2016年全球六大海盆生成的热带风暴级别以上的TC共计538个,以及对应每个TC的微波十通道亮温和36.50 GHz、89.00 GHz的极化校正亮温度,并简要阐明了该数据集在热带气旋研究方面的潜在应用,尤其对TC生命周期内的微波亮温特征及TC强度变化研究提供了有力的数据支撑。     

FY-2G卫星冬夏云量产品偏差分析

开展卫星反演云量的精度评估是业务应用的基础,也是充分发挥卫星观测效益的前提。利用同类卫星产品EOS Aqua/MODIS云产品,选取2015年6月和12月共80个个例,包括43个白天个例,37个夜间个例。采用交叉比对方法对FY-2G云量产品进行相对偏差分析。结果表明:FY-2G与Aqua/MODIS计算云量总体趋势相当,无论从时间分布（白天和夜间）还是季节分布（6月和12月）上看,FY-2G与Aqua云量相对偏差较为稳定,FY-2G反演云量小于Aqua/MODIS反演云量。匹配个例中FY-2G平均云量为72.81%,Aqua/MODIS平均云量是76.19%,两者相关系数为0.74。两者绝对偏差小于5%的像元比例为72.34%;云量偏差绝对值小于15%的像元比例为79.51%。FY-2G与Aqua/MODIS云量偏差主要来自各自卫星的观测能力与所采用的云检测算法。与具有36个探测通道、星下点最低空间分辨率为0.01°×0.01°的Aqua/MODIS观测数据相比,FY-2G所具有的5通道、星下点最高空间分辨率为0.05°×0.05°的观测数据会出现对云,尤其是破碎云和薄卷云的漏检。两种具有不同时空属性的数据在匹配处理时采用的不同算法也会在比对分析中引入偏差。     

利用FY-3星载微波资料对热带气旋云系和暖核特征的分析

介绍了中国FY-3系列卫星搭载的微波遥感仪器性能特点,以“1109”超强台风“梅花”为研究个例.通过微波湿度计单通道微波图像和微波成像仪双极化通道散点图,分析了台风云系中云雨粒子对遥感通道辐射的吸收和散射效应,揭示了台风在微波图像上表现形式的内在物理原因.利用微波向量辐射传输模式的模拟表明:微波温度计各氧气吸收通道对热带气旋系统水汽和水凝物含量变化的敏感性不大.因此,可利用权重函数峰值位于对流层中上层的通道3,探测出台风暖核辐射信息.根据两者相匹配的5个较理想时次数据,选取距“梅花”中心400 km范围为研究区域,并提出用于修正扫描点分辨率不均匀所带来取样偏差的方法,分别计算出订正临边效应后的暖核强度,发现它同表征台风强度的中心海平面气压变化趋势相一致.     

Liquid Water Path Retrieval Using the Lowest Frequency Channels of Fengyun-3C Microwave Radiation Imager(MWRI)

The Microwave Radiation Imager(MWRI) on board Chinese Fengyun-3(FY-3) satellites provides measurements at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz with both horizontal and vertical polarization channels. Brightness temperature measurements of those channels with their central frequencies higher than 19 GHz from satellite-based microwave imager radiometers had traditionally been used to retrieve cloud liquid water path(LWP) over ocean. The results show that the lowest frequency channels are the most appropriate for retrieving LWP when its values are large. Therefore, a modified LWP retrieval algorithm is developed for retrieving LWP of different magnitudes involving not only the high frequency channels but also the lowest frequency channels of FY-3 MWRI. The theoretical estimates of the LWP retrieval errors are between 0.11 and 0.06 mm for 10.65-and 18.7-GHz channels and between0.02 and 0.04 mm for 36.5-and 89.0-GHz channels. It is also shown that the brightness temperature observations at10.65 GHz can be utilized to better retrieve the LWP greater than 3 mm in the eyewall region of Super Typhoon Neoguri(2014). The spiral structure of clouds within and around Typhoon Neoguri can be well captured by combining the LWP retrievals from different frequency channels.     

Liquid water path retrieval using the lowest frequency channels of <Emphasis Type="Italic">Fengyun-3C</Emphasis> Microwave Radiation Imager (MWRI)

The Microwave Radiation Imager (MWRI) on board Chinese Fengyun-3 (FY-3) satellites provides measurements at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz with both horizontal and vertical polarization channels. Brightness temperature measurements of those channels with their central frequencies higher than 19 GHz from satellite-based microwave imager radiometers had traditionally been used to retrieve cloud liquid water path (LWP) over ocean. The results show that the lowest frequency channels are the most appropriate for retrieving LWP when its values are large. Therefore, a modified LWP retrieval algorithm is developed for retrieving LWP of different magnitudes involving not only the high frequency channels but also the lowest frequency channels of FY-3 MWRI. The theoretical estimates of the LWP retrieval errors are between 0.11 and 0.06 mm for 10.65- and 18.7-GHz channels and between 0.02 and 0.04 mm for 36.5- and 89.0-GHz channels. It is also shown that the brightness temperature observations at 10.65 GHz can be utilized to better retrieve the LWP greater than 3 mm in the eyewall region of Super Typhoon Neoguri (2014). The spiral structure of clouds within and around Typhoon Neoguri can be well captured by combining the LWP retrievals from different frequency channels.     

Insights into the Microwave Instruments Onboard the Fengyun 3DSatellite: Data Quality and Assimilation in theMet Office NWP System

正1Met Office, Exeter EX1 3PB, UK2National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China     

FY-3A/MWHS冷空测值受月球影响分析及修正

为解决月球对风云三号卫星微波湿度计在轨实时辐射定标的影响问题,该文根据风云三号卫星微波湿度计在轨实时观测数据分析,通过多项式拟合分析技术,建立修正模型,消除月球影响,得到合理的辐射定标结果。风云三号卫星微波湿度计在轨实测数据分析表明:月球对风云三号卫星微波湿度计在轨辐射定标结果影响最严重时一天内可干扰4~5条轨道,每条轨道有近100个扫描周期受到污染。月球影响致使冷空定标观测数据跳升1000个计数值,如果不进行污染滤除会造成对地观测亮温下降约20 K,导致辐射资料无法同化进入数值天气预报模式。通过与同类载荷的交叉比对分析,修正月球影响后,风云三号卫星微波湿度计在轨实时辐射定标结果精度与在轨测试结果相当。     

STUDY ON THE MULTIVARIATE STATISTICAL ESTIMATION OF TROPICAL CYCLONE INTENSITY USING FY-3 MWRI BRIGHTNESS TEMPERATURE DATA

A technique for estimating tropical cyclone (TC) intensity over the Western North Pacific utilizing FY-3 Microwave Imager (MWRI) data is developed. As a first step, we investigated the relationship between the FY-3 MWRI brightness temperature (TB) parameters, which are computed in concentric circles or annuli of different radius in different MWRI frequencies, and the TC maximum wind speed (Vmax) from the TC best track data. We found that the parameters of lower frequency channels’ minimum TB, mean TB and ratio of pixels over the threshold TB with a radius of 1.0 or 1.5 degrees from the center give higher correlation. Then by applying principal components analysis (PCA) and multiple regression method, we established an estimation model and evaluated it using independent verification data, with the RMSE being 13 kt. The estimated Vmax is always stronger in the early stages of development, but slightly weaker toward the mature stage, and a reversal of positive and negative bias takes place with a boundary of around 70 kt. For the TC that has a larger error, we found that they are often with less organized and asymmetric cloud pattern, so the classification of TC cloud pattern will help improve the acuracy of the estimated TC intensity, and with the increase of statistical samples the accuracy of the estimated TC intensity will also be improved.     

Spatiotemporal Variations of Microwave Land Surface Emissivity (MLSE) over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data

Microwave Land Surface Emissivity (MLSE) over China under both clear and cloudy sky conditions was retrieved using measurements of recalibrated microwave brightness temperatures (Tbs) from Fengyun-3B Microwave Radiation Imager (FY-3B MWRI), combined with cloud properties derived from Himawari-8 Advanced Himawari Imager (AHI) observations. The contributions from cloud particles and atmospheric gases to the upwelling Tbs at the top of atmosphere were calculated and removed in radiative transfer. The MLSEs at horizontal polarizations at 10.65, 18.7, and 36.5 GHz during 7 July 2015 to 30 June 2019 over China showed high values in the southeast vegetated area and low values in the northwest barren, or sparsely vegetated, area. The maximum values were found in the belt area of the Qinling-Taihang Mountains and the eastern edge of the Qinghai-Tibet Plateau, which is highly consistent with MLSEs derived from AMSR-E. It demonstrates that the measurements of FY-3B MWRI Tbs, including its calibration and validation, are reliable, and the retrieval algorithm developed in this study works well. Seasonal variations of MLSE in China are mainly driven by the combined effects of vegetation, rainfall, and snow cover. In tropical and southern forest regions, the seasonal variation of MLSE is small due to the enhancement from vegetation and the suppression from rainfall. In the boreal area, snow causes a significant decrease of MLSE at 36.5 GHz in winter. Meanwhile, the MLSE at lower frequencies experiences less suppression. In the desert region in Xinjiang, increases of MLSEs at all frequencies are observed with increasing snow cover.     

A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager(MWRI)

Accurate measurements of soil moisture are beneficial to our understanding of hydrological processes in the earth system. A multivariable approach using the random forest(RF) machine learning technique is proposed to estimate the soil moisture from Microwave Radiation Imager(MWRI) onboard Fengyun-3 C satellite. In this study, Soil Moisture Operational Products System(SMOPS) products disseminated from NOAA are used as a truth to train the algorithm with the input of MWRI brightness temperatures(TBs) at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz, TB polarization ratios(PRs) at 10.65, 18.7, and 23.8 GHz, height in digital elevation model(DEM), and soil porosity. The retrieved soil moisture is also validated against the independent SMOPS data, and the correlation coefficient is about0.8 and mean bias is 0.002 m3 m-3 over the period from 1 August 2017 to 31 May 2019. Our retrieval of soil moisture also has a higher correlation with ECMWF ERA5 soil moisture data than the MWRI operational products. In the western part of China, the spatial distribution of MWRI soil moisture is much improved, compared to the MWRI operational products.     

MODELING AND QUANTITATIVE RETRIEVAL OF FINITE FIELD FOR THE TROPICAL SEA SURFACE WIND SPEED OF THE FY-3B MICROWAVE IMAGER

The purpose of this study is to select a suitable sea wind retrieval method for FY-3B(MWRI). Based on the traditional empirical model of retrieving sea surface wind speed, and in the case of small sample size of FY-3B satellite load regression analysis, this paper analyzes the channel differences between the FY-3B satellite microwave radiation imager(MWRI) and TMI onboard the TRMM. The paper also analyzes the influence of these differences on the channel in terms of receiving temperature, including channel frequency, sensitivity and scaling precision. Then, the limited range of new model coefficient regression analysis is determined(in which the channel range settings include the information and features of channel differences), the regression methods of the finite field are proposed, and the empirical model of wind speed retrieval applicable to MWRI is obtained, which achieves robust results. Compared to the TAO buoy data, the mean deviation of the new model is 0.4 m/s, and the standard deviation is 1.2 m/s. In addition,the schematic diagram of the tropical sea surface wind speed retrieval is provided.     

FY-3A陆表温度反演及高温天气过程动态监测

采用FY-3A/VIRR数据,利用Becker局地分裂窗改进算法反演得到逐日陆表温度 (LST), 对2009年一次高温天气过程进行动态监测, 并分析不同下垫面的热环境变化。结果显示:此过程中可见光红外扫描辐射计 (VIRR) 陆表温度产品在敦煌辐射校正场地两次验证的误差为-0.17 K和1.77 K,与同时间过境的MODIS产品均方根误差为2.64 K,直方图对比陆表温度的频数分布基本一致;对高温天气过程监测发现,此次出现以华北的石家庄、郑州、北京等地和西北地区东部的西安等地为中心的两个陆表温度高值区, 部分地区达到了320.2 K以上;城市剖面资料证实城市热岛现象存在,并发现工矿用地的热岛效应不容忽视,主要是大面积的工矿用地周围植被破坏严重,地表增温更为显著。