Enhancing the Simplified Surface Energy Balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model

Evapotranspiration (ET) can be derived from satellite data using surface energy balance principles. METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration) is one of the most widely used models available in the literature to estimate ET from satellite imagery. The Simplified Surface Energy Balance (SSEB) model is much easier and less expensive to implement. The main purpose of this research was to present an enhanced version of the Simplified Surface Energy Balance (SSEB) model and to evaluate its performance using the established METRIC model. In this study, SSEB and METRIC ET fractions were compared using 7 Landsat images acquired for south central Idaho during the 2003 growing season. The enhanced SSEB model compared well with the METRIC model output exhibiting an r² improvement from 0.83 to 0.90 in less complex topography (elevation less than 2000 m) and with an improvement of r² from 0.27 to 0.38 in more complex (mountain) areas with elevation greater than 2000 m. Independent evaluation showed that both models exhibited higher variation in complex topographic regions, although more with SSEB than with METRIC. The higher ET fraction variation in the complex mountainous regions highlighted the difficulty of capturing the radiation and heat transfer physics on steep slopes having variable aspect with the simple index model, and the need to conduct more research. However, the temporal consistency of the results suggests that the SSEB model can be used on a wide range of elevation (more successfully up 2000 m) to detect anomalies in space and time for water resources management and monitoring such as for drought early warning systems in data scarce regions. SSEB has a potential for operational agro-hydrologic applications to estimate ET with inputs of surface temperature, NDVI, DEM and reference ET.     

集合预报方法在新疆大降水中的试验

采用多模式多物理参数化方案的集合预报方法,以GRAPES和WRF中尺度区域数值模式为基础,分别使用2个模式提供的多种物理过程参数化方案和积云参数化方案,通过敏感试验进行有效组合,形成了8个集合成员的集合预报系统。使用该系统对新疆2007年和2008年以降水为主的27场天气过程进行模拟试验,采用Ts评分和BS评分方法,对...     

旋毛虫Ts43基因真核表达载体的构建及其在Vero E6细胞中的表达

利用RT—PCR技术从黑龙江省猪源旋毛虫获得了Ts43基因，并克隆入pcDNA3．1-CT—GFP真核表达载体中构建重组质粒，用该重组质粒在脂质体介导下转染VeroE6细胞，GFP标签证明质粒DNA成功转染到细胞中并得以表达，通过Western—blot分析，细胞裂解液样品中有1条约66ku的条带，可被小鼠旋毛虫阳性血清所识别，与预计大小一致，说明，真核表达载体pcDNA3．1-CT—GFP中的Ts43基因在VeroE6细胞中获得了表达，表达产物具有抗原性。     

基于温度植被旱情指数的青海高寒区干旱遥感动态监测研究

利用MODIS资料提取的归一化植被指数(NDVI)和地表温度(Ts),构建NDVI-Ts特征空间,依据该特征空间设计的温度植被旱情指数作为旱情指标,对青海省东部浅山农业区2004年7月上旬的旱情进行了动态监测,同时利用各气象台站实测的地面数据进行了验证,结果表明利用温度植被旱情指数(TVDI)法对青海高寒区进行干旱动态监测是可行的。     

基于NDVI-Ts特征空间的冬小麦水分诊断与长势监测

综合利用NOAA气象卫星4个波段的信息,来证实NDVI-Ts特征空间是否可用于作物的水分亏缺诊断以及监测作物长势.该文在N0AA17/AVHRR数据基础上,利用其1和2通道的数据计算了NDVI,利用4和5通道数据采用优选出的UL92裂窗算法反演了Ts,以邯郸地区为例计算了其植被供水指数(NDVI/Ts)并用NDVI-Ts二维特征空间分析该区冬小麦长势的情况.结果表明:NDVI/Ts基本能诊断邯郸地区冬小麦关键生育期(拔节和灌浆)的水分亏缺状况:NDVI-Ts二维特征空间表证了在各生育期冬小麦地的NDVI和Ts呈反比线性关系,而裸地二者没有相关性,证明了NDVI-Ts特征空间确实是研究作物水分亏缺和长势监测实用的理论方法.     

基于MODIS数据的新疆地区土壤湿度反演

以新疆地区为研究对象,选取2016年5和6月的植被指数产品数据和地表温度产品数据,构建新疆地区NDVI-Ts和EVI-Ts特征空间,分析新疆地区土壤干湿状况的空间分布格局及土壤水分的影响因素。结合野外同步重复采样获得的土壤含水量对TVDI进行验证,并分析EVI和Ts所包含的旱情信息。结果表明:(1)构建NDVI-Ts和EVI-Ts特征空间,其散点图符合三角形的关系。(2)新疆地区5和6月土壤湿度总体以干旱(0.6相似文献   

猪囊尾蚴排泄分泌抗原Ts8B1蛋白原核表达条件的优化

研究了培养基、温度、诱导时间、IPTG和氨苄青霉素终浓度以及诱导前后温度变化等不同条件对重组菌菌体生长和融合蛋白表达量的影响,以期获得猪囊尾蚴排泄分泌抗原(Es Ag)Ts8 B1蛋白基因在大肠杆菌中的最大表达量.结果显示,使用TB培养基于37℃培养3 h后,采用终浓度为0.2mmol/L的IFrG和200mm0L/L的氨苄青霉素在32℃过夜诱导培养,pGEX-6p-1/TsSBl融合蛋白表达量最大,表达的融合蛋白约占菌体总蛋白的33%.SDS-PAGE表明p(;EX-6p-1/Ts8Bl融合蛋白大小约为33 kDa,与预计的分子量大小一致,Western blot分析表明其能与猪囊尾蚴多克隆抗体起特异性反应,并获得最大产量的融合蛋白.为研究其在猪囊尾蚴病检测中的应用价值奠定了基础.