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1.
In this study, a parameterization methodology based on Advanced Very High-Resolution Radiometer (AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), and in situ data is proposed and tested for deriving the regional surface heating field, sensible heat flux, and latent heat flux over a heterogeneous landscape. In this case study, this method is applied to the whole Tibetan Plateau (TP) area. Four sets of AVHRR data and four sets of MODIS data (collected on 17 January 2003, 14 April 2003, 23 July 2003, and 16 October 2003) were used in this study to make comparisons between winter, spring, summer, and autumn values. The satellite-derived results were also validated using the “ground truth” as measured in the stations of CAMP/Tibet (Coordinated Enhanced Observing Period (CEOP) and Asia–Australia Monsoon Project on the Tibetan Plateau). The results show that the surface heating field, sensible heat flux, and latent heat flux in the four seasons across the TP are in close accordance with its land surface status. These parameters range widely due to the strongly contrasting surface features found within the TP region. Also, the estimated surface heating field, sensible heat flux, and latent heat flux all agree with the ground truth data, and usually, the absolute percentage difference between the two sets of data is less than 10 % at the validation stations. The AVHRR results were also in agreement with the MODIS data, with the latter usually displaying a higher level of accuracy. We have thus concluded that the proposed method was successful in retrieving surface heating field, sensible heat flux, and latent heat flux values using AVHRR, MODIS, and in situ data over the heterogeneous land surface of the TP. Shortcomings and possible further improvements in the method are also discussed.  相似文献   

2.
In order to provide a long time-series, high spatial resolution, and high accuracy dataset of land surface temperature (LST) for climatic change research, a modified Becker and Li's split-window approach is pro- posed in this paper to retrieve LST from the measurements of Advanced Very High Resolution Radiometer (AVHRR) onboard National Oceanic and Atmospheric Administration (NOAA)-7 to -18 and the Visible and InfraRed Radiometer (VIRR) onboard FY-3A. For this purpose, the Moderate Resolution Transmittance Model (MODTRAN) 4.1 was first employed to compute the spectral radiance at the top of atmosphere (TOA) under a variety of surface and atmosphere conditions. Then, a temperature dataset consists of boundary temperature Ts (which is one of the input parameters to MODTRAN), and channels 4 and 5 brightness temperatures (T4 and T5) were constructed. Note that channels 4 and 5 brightness tempera- tures were simulated from the MODTRAN output spectral radiance by convolving them with the spectral response functions (SRFs) of channels 4 and 5 of AVHRRs and VIRR. The coefficients of modified Becker and Li's split-window approach for various AVHRRs and VIRR were subsequently regressed based on this temperature dataset using the least square method. As an example of validation, one AVHRR satellite image over Beijing acquired at 0312 UTC 27 April 2008 by AVHRR onboard NOAA-17 was selected to retrieve the LST image using the modified Becker and Li's approach. The comparison between this LST image and that from the MODIS level-2 LST product provided by the University of Tokyo in Japan indicates that the correlation coefficient is 0.88, the bias is 0.6 K, and the root mean square deviation (RMSD) is 2.1 K. Furthermore, about 70% and 37% pixels in the LST difference image, which is the result of retrieved LST image from AVHRR minus the corresponding MODIS LST image, have the values within ±2 and ±1 K, respectively.  相似文献   

3.
In order to provide a long time-series,high spatial resolution,and high accuracy dataset of land surface temperature(LST) for climatic change research,a modified Becker and Li’s split-window approach is proposed in this paper to retrieve LST from the measurements of Advanced Very High Resolution Radiometer(AVHRR) onboard National Oceanic and Atmospheric Administration(NOAA)-7 to-18 and the Visible and InfraRed Radiometer(VIRR) onboard FY-3A.For this purpose,the Moderate Resolution Transmittance Model(MODTRAN) 4.1 was first employed to compute the spectral radiance at the top of atmosphere(TOA) under a variety of surface and atmosphere conditions.Then,a temperature dataset consists of boundary temperature T s(which is one of the input parameters to MODTRAN),and channels 4 and 5 brightness temperatures(T 4 and T 5) were constructed.Note that channels 4 and 5 brightness temperatures were simulated from the MODTRAN output spectral radiance by convolving them with the spectral response functions(SRFs) of channels 4 and 5 of AVHRRs and VIRR.The coefficients of modified Becker and Li’s split-window approach for various AVHRRs and VIRR were subsequently regressed based on this temperature dataset using the least square method.As an example of validation,one AVHRR satellite image over Beijing acquired at 0312 UTC 27 April 2008 by AVHRR onboard NOAA-17 was selected to retrieve the LST image using the modified Becker and Li’s approach.The comparison between this LST image and that from the MODIS level-2 LST product provided by the University of Tokyo in Japan indicates that the correlation coefficient is 0.88,the bias is 0.6 K,and the root mean square deviation(RMSD) is 2.1 K.Furthermore,about 70% and 37% pixels in the LST difference image,which is the result of retrieved LST image from AVHRR minus the corresponding MODIS LST image,have the values within ± 2 and ± 1 K,respectively.  相似文献   

4.
High-resolution surface air temperature data are critical to regional climate modeling in terms of energy balance, urban climate change, and so on. This study demonstrates the feasibility of using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) to estimate air temperature at a high resolution over the Yangtze River Delta region, China. It is found that daytime LST is highly correlated with maximum air temperature, and the linear regression coefficients vary with the type of land surface. The air temperature at a resolution of 1 km is estimated from the MODIS LST with linear regression models. The estimated air temperature shows a clear spatial structure of urban heat islands. Spatial patterns of LST and air temperature differences are detected, indicating maximum differences over urban and forest regions during summer. Validations are performed with independent data samples, demonstrating that the mean absolute error of the estimated air temperature is approximately 2.5°C, and the uncertainty is about 3.1°C, if using all valid LST data. The error is reduced by 0.4°C (15%) if using best-quality LST with errors of less than 1 K. The estimated high-resolution air temperature data have great potential to be used in validating high-resolution climate models and other regional applications.  相似文献   

5.
基于2001~2018年中分辨率成像光谱仪(MODIS)探测的白天地面温度(简称MODIS 白天地温)资料,与青藏高原(简称高原)122个气象站点观测的最高气温资料,在年尺度上评估了MODIS 白天地温在高原的适用性,研究了高原五个干湿分区下MODIS 白天地温的海拔依赖型变暖特征,得到以下主要结论:(1)MODIS白天地温能够基本再现观测的最高气温的时空以及海拔依赖型变暖特征;(2)高原整体上,MODIS白天地温存在显著的海拔依赖型变暖特征,平均海拔每增加100 m,其趋势增加0.02°C (10a)?1,且受积雪—反照率反馈主导;(3)干湿分区下,海拔依赖型变暖特征在高原表现为偏湿润地区强于偏干旱地区;季风区强于西风区。海拔依赖型特征强弱:半湿润地区>湿润半湿润地区>半干旱地区>湿润地区>干旱地区。平均海拔每增加100 m,以上区域的地温趋势分别增加0.06,0.03,0.03,0.01,0.01°C (10a)?1。半湿润和湿润半湿润地区年均温在0°C左右,在气候变暖背景下积雪—反照率反馈作用最为强烈,是其海拔依赖型变暖的主导因素;干旱与半干旱地区年均温相对更低,气候变暖程度对积雪影响相对较小,积雪—反照率反馈作用被限制,但仍对上述地区的海拔依赖型变暖起主导作用;而湿润地区的积雪覆盖率的上升可能是由于降雪(固态降水)增加抵消了积雪融化损耗,云辐射、水汽等其他因素主导了其海拔依赖型变暖。  相似文献   

6.
西藏林芝地区混合像元MODIS地表温度产品验证   总被引:1,自引:1,他引:0       下载免费PDF全文
西藏林芝地区地形复杂、土地覆盖类型多样,MODIS地表温度 (land surface temperature,LST) 产品验证面临处理混合像元的难题,为获得与像元尺度 (1 km) 相匹配的地表温度数据,该文提出采用多点同时观测结合面积加权的方法,将该方法应用于验证林芝地区2013年6月10日夜间晴空MODIS/LST产品。结果显示:单点观测对像元的代表性不足,容易低估产品精度 (10个样本均方根误差为2.2 K),面积加权法可获得综合性更好的地面LST信息,对MODIS/LST产品的精度给出更高的评价 (30个样本均方根误差为1.40 K)。对于地表类型混杂程度高且地势较为平坦的像元,面积加权法的优势更为明显,可将卫星LST产品与地面LST之间的差异由3 K降至1 K以内。  相似文献   

7.
利用理塘县高山草甸地表温度实测数据,分析6种常用AVHRR分裂窗算法的精度,为青藏高原地区地表温度的卫星反演提供技术支持.结果表明:6种常用AVHRR分裂窗算法反演地表温度与实测值之间有很好的线性正相关关系,反演温度与实测温度最大偏差3.36K,最大平均绝对误差2.25k,最小平均绝对误差0.77K.给出了反演高山草甸地表温度的AVHRR分裂窗算法建议.  相似文献   

8.
基于中国植被数据的陆面覆盖及其对陆面过程模拟的影响   总被引:6,自引:2,他引:4  
陈锋  谢正辉 《大气科学》2009,33(4):681-697
本文基于中国1:100万植被图、马里兰大学AVHRR森林覆盖资料和中国753个气象站点40年的降水气温资料, 发展了一套用于气候模拟的中国陆面覆盖资料(Chinese land cover derived from vegetation map, 简称CLCV)。该套资料与CLM(Community Land Model)原来所用的MODIS (Moderate Resolution Imaging Spectroradiometer) 陆面覆盖资料相比有较大不同: 其中裸土比例减少了14.5%, 森林、灌木、草原和农作物比例分别增加了3.3%、4.8%、4.4%和0.3%, 冰川、湖泊和湿地比例分别增加了0.4%、0.8%和0.6%。将CLCV和MODIS资料分别与全国土地资源概查汇总结果分省统计资料和基于中国1 km土地利用图的土地利用资料比较表明, CLCV与两者较为接近。最后, 利用CLM模式分别采用CLCV与MODIS陆面覆盖资料在中国区域内进行数值模拟, 结果显示, 使用CLCV资料所模拟的蒸散增加了约7.7 mm/a; 地表反照率、 感热和径流分别减小了约0.7%、 0.3 W/m2和7.6 mm/a; 与MODIS卫星反演地表反照率和GRDC (Global Runoff Data Centre) 径流资料比较表明, 利用CLCV资料所模拟的地表反照率有一定改进, 并能基本模拟出径流分布趋势。  相似文献   

9.
In this study,a parameterization scheme based on Moderate Resolution Imaging Spectroradiometer (MODIS) data and in-situ data was tested for deriving the regional surface heating field over a heterogeneous landscape.As a case study,the methodology was applied to the whole Tibetan Plateau (TP) area.Four images of MODIS data (i.e.,30 January 2007,15 April 2007,1 August 2007,and 25 October 2007) were used in this study for comparison among winter,spring,summer,and autumn.The results were validated using the observations measured at the stations of the Tibetan Observation and Research Platform (TORP).The results show the following:(1) The derived surface heating field for the TP area was in good accord with the land-surface status,showing a wide range of values due to the strong contrast of surface features in the area.(2) The derived surface heating field for the TP was very close to the field measurements (observations).The APD (absolute percent difference) between the derived results and the field observations was <10%.(3) The mean surface heating field over the TP increased from January to April to August,and decreased in October.Therefore,the reasonable regional distribution of the surface heating field over a heterogeneous landscape can be obtained using this methodology.The limitations and further improvement of this method are also discussed.  相似文献   

10.
利用FY-1D极轨气象卫星分裂窗区通道计算陆表温度   总被引:4,自引:2,他引:4       下载免费PDF全文
根据理论和经验上已证明的地表温度与AVHRR窗区通道4、5的亮度温度存在线性或非线性关系, 通过对2818条全球晴空大气廓线做不同比辐射率地表的FY-1D窗区通道4、5辐射率的模拟计算, 推导出FY-1D极轨气象卫星的红外通道4、5亮温与地表温度的二次回归关系式。同时详细介绍了由这一回归关系式和FY-1D高分辨率图像传输 (HRPT) 遥测数据计算陆表温度的方法, 最后给出陆表温度计算结果的精度:用中国地面气象台站的0 cm地温观测数据与相同时刻的分辨率为0.01°×0.01°经纬度的卫星陆表温度相对比, 两者非常吻合, 绝大部分台站|ΔT|<3.0 K。  相似文献   

11.
This paper explores the characteristics of the air (Tair) and land surface temperature (LST) from the city of Bucharest (Romania) during the extreme high temperatures that affected the region in July 2007. The behavior of Bucharest’s Urban Heat Island (UHI) is quantitatively described following similar methodological approaches to previous studies. The analysis integrates thermal data supplied by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the NASA satellites and meteorological data provided by the ground-based weather stations. Based on the Tair, one may claim that during extreme high summer temperatures, the UHI preserves its spatial and temporal pattern regarding the differences between the central urban perimeter and the suburban area. The investigation of the LST from July 2007 reveals that the nocturnal changes refer mainly to the magnitude and the limits of the UHI, while the shape is not changed. However, the extreme temperatures induce significant modifications of the features of the diurnal UHI, obliterating and dissipating it in certain spots, enlarging it and creating shifted heat islands in some other spots. The main explanation is the outstanding duration and intensity of the hot mass of air impacting the area. The correlations between the Tair measured at the weather stations in Bucharest and the corresponding LST retrieved significant values both under “normal” conditions and extreme temperature persistence, and offer good premises for robust validation studies. The MODIS products performed like an extremely useful instrument for analyzing the UHI.  相似文献   

12.
The development of satellite-derived vegetation indices and metrics has enabled researchers to monitor land surface phenology (LSP). While the use of satellite data to monitor LSP is prevalent, there has been minimal effort to model LSP in temperate climates using satellite observations of the land surface. Satellite-derived LSP models are beneficial for studying past and future changes in phenology and related ecosystem processes (e.g., water, energy, and carbon fluxes). The purpose of this study was to model LSP during the spring in a mixed temperate forest using satellite-derived measurements of leaf area index (LAI) and land surface temperature (LST). As part of the model validation process, the use of LST as a proxy for air temperature to model LSP was also investigated. The results indicate that LST derived from the MODIS Terra sensor at 10:30?a.m. (local solar time) can be used to develop a LSP model that predicts the full profile of LAI from winter dormancy to maturity and the date when LAI reaches half of the annual maximum (LAI50%) with relatively low error. In addition, the modeled LAI values closely tracked in situ observations of the phenological development of the dominant deciduous tree species located in the study area where the model was developed. A comparison of LST and daily maximum air temperature at two levels above the ground surface revealed distinct differences and nonlinearities in the relationship between these two variables. However, accumulated growing degree-days calculated from each of these variables were similar because the largest differences between LST and daily maximum air temperature occurred prior to the beginning of heat accumulation. Consequently, the model predictions of LAI50% derived from the use of LST and daily maximum air temperature were similar. When the developed model was applied in two other mixed forests, the errors were larger due to substantial interannual variability in the relationship between LAI and heat accumulation and systematic differences in this relationship between sites. Although the model cannot be successfully applied in these other mixed forests, the ability of the model to capture a consistent relationship between satellite estimates of LAI and LST in the study area where it was developed demonstrates that satellite observations of the land surface can be used in certain locations to create LSP phenology models. When validated, the models can be used to examine past and future changes in phenology and related ecosystem processes.  相似文献   

13.
FY-3A陆表温度反演及高温天气过程动态监测   总被引:1,自引:0,他引:1       下载免费PDF全文
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。  相似文献   

14.
利用ASTER数据反演南京城市地表温度   总被引:3,自引:1,他引:2  
利用针对ASTER数据的分裂窗算法,反演了南京城市地表温度,并用实际观测资料和同步的MODIS数据对反演结果进行了验证,结果表明:基于ASTER数据的地表温度反演结果与实际观测资料相差0.9℃,与MODIS数据的反演结果具有较好的空间一致性;基于ASTER数据反演的当日南京地表温度在23~56℃范围内,城市地表温度普遍高于35℃,市内公园地表温度略低,多位于30~35℃,长江水体温度低于30℃,地表温度存在明显的空间差异;南京城市夏季白天存在明显"热岛效应",热岛强度的空间差异与南京城市发展、规划有关。  相似文献   

15.
以辽宁地表温度为研究对象,采用普适性单通道算法,利用FY-3A/MERSI数据,并结合MODIS 1000 m分辨率数据,反演了2009年和2010年4-9月间10个时次晴空或局部晴空时的地表温度。结果表明:计算验证了模型的反演精度与同期NASA所发布MODIS地表温度产品的精度相当,其结果与相应的56个气象站点的实际观测数据相一致。多源遥感数据的综合应用,可获得较合理的地表温度反演结果;不同土地覆盖类型间地表温度的高低在相同时间内存在显著差异;研究期内,林地、水田、旱地和建设用地的NDVI与地表温度具有负相关性。综合利用遥感、地理信息系统技术,可以表征地表温度与土地利用类型以及地表温度与归一化植被指数(NDVI)之间的关系。  相似文献   

16.
CoLM模式地表温度变分同化研究   总被引:2,自引:1,他引:1  
本文采用变分方法对通用陆面模式 (CoLM) 中的地表温度进行同化.同化伴随约束条件采用CoLM模式中的地表及植被能量平衡方程,调节因子采用裸土及植被蒸发比.采用美国通量网 (AmeriFlux) 中的Bonville站数据对同化方法进行了单点验证,验证结果表明同化后地表温度以及蒸散结果更加接近于实测值.选取中国华北地区对同化方法进行区域验证,结果显示每天仅采用白天一次观测值对地表温度进行同化的方法是有效的.通过对同化前后地表温度误差直方图比较可以发现,在有MODIS观测值的区域,同化后白天地表温度误差大大降低,同时,同化后地表蒸散空间分布图也发生了变化.单点验证以及区域验证结果都表明了变分同化方法是可靠的.变分同化方法可以改进陆面模式模拟结果,对于地表过程研究中的植被生态、水文等研究具有重要意义,同时,陆面模式可以与数值预报模式进行耦合,改进数值预报结果.  相似文献   

17.
基于MODIS数据的金塔绿洲地表温度反演   总被引:5,自引:2,他引:3       下载免费PDF全文
武坚  孟宪红  吕世华 《高原气象》2009,28(3):523-529
地表温度(LST)是气象、水文、生态等研究领域中的一个重要参数.本文对MODIS数据的分裂窗算法进行了简要的介绍,并利用MODIS数据计算反演了地表温度所需的关键参数:大气透过率和地表比辐射率,然后运用分裂窗算法反演了金塔绿洲地区的地表温度,并与地面实测数据进行了对比分析.结果表明,这一方法能获得较合理的地表温度,符合金塔绿洲的实际地表状况.  相似文献   

18.
开发AVHRR可见光通道反演陆地气溶胶光学厚度 (AOD) 的算法对于研究长时间序列AOD的变化有重要意义。AVHRR由于缺少2.1 μm通道而不能采用MODIS的暗背景算法,该文利用背景合成算法进行陆地AOD反演。背景合成算法是指假设一段时间内地表反射率变化不大且会出现相对清洁大气, 采用最小值合成即可得到地表反射率,再通过辐射传输模式6S制作的查算表查算得到AOD的反演结果。将此算法应用到2009年AVHRR中国部分陆地区域 (15°~45°N,75°~135°E) 得到AOD的时空分布,将反演结果与同期Aqua/MODIS的MOD04 AOD产品进行对比分析表明,华北和华东地区的反演效果较好,西北地区结果较差。以长江三角洲地区为例可知,AVHRR AOD产品与MODIS AOD产品以及AERONET观测的AOD相比相关系数基本在0.6以上,从时间变化规律来看,AVHRR AOD和MODIS AOD产品年变化趋势具有很好的一致性。该文为建立长时间序列AVHRR AOD数据集提供了一个较为可行的方法。  相似文献   

19.
选取QIN和SOB两种代表性劈窗算法对辽宁地区地表温度进行反演,并分析二者的精度和误差分布。结果表明:QIN和SOB算法反演的地表温度(TS)与地面气象台站准同步观测的气温和地温的线性拟合显著,SOB算法线性拟合更好;从误差分布直方图上看,两种算法的反演结果与地温更接近,SOB算法与同步气温和地温在±2 ℃之间的误差比例略高于QIN算法;在野外开展与卫星遥感空间尺度一致的地表温度观测试验,QIN和SOB算法与实测值的平均绝对误差均为1.5 ℃;与NASA官网发布的地表温度产品对比发现,QIN和SOB算法的平均绝对误差分别为1.75 ℃、1.70 ℃;因此QIN、SOB算法在辽宁地区均适用,SOB算法误差更小。  相似文献   

20.
基于MODIS数据的城市热岛动态监测及时空变化分析   总被引:6,自引:1,他引:6  
以人口密集、经济快速发展的福建省沿海地区为研究区,在遥感和地理信息系统技术支持下,采用经优选的MODIS遥感数据反演的地表温度,提取城市热岛和植被覆盖信息,对研究区城市热岛进行动态监测和时空变化分析,并对地表温度与植被覆盖的互动关系进行定性与定量分析。结果表明:福建沿海城市热岛面积整体上呈逐年增长趋势,福州和莆田更为明显;城市热岛主要集中在人口密集、工商业发达的区域,同时沿海平原的热岛效应比内陆山区更为显著;地表温度与植被覆盖呈负相关,并且相关系数逐年增长。  相似文献   

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