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Validation of the MODIS snow product and cloud mask using student and NWS cooperative station observations in the Lower Great Lakes Region

机译:利用大湖区下游的学生和NWS合作站的观测值对MODIS雪积和云罩进行验证

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NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) snow product (MOD10) creates automated daily, 8-day composite and monthly regional and global snow cover maps. In this study, the MOD10 daily swath imagery (MOD10-L2) and the MODIS cloud mask (MOD35) were validated in the Lower Great Lakes Region, specifically the area to the east of Lake Michigan. Validation of the MOD10_L2 snow product, MOD35 cloud mask and the MOD10_L2 Liberal Cloud Mask was performed using field observations from K-12 student GLOBE (Global Learning and Observations to Benefit the Environment) and SATELLITES (Students And Teachers Evaluating Local Landscapes to Interpret The Earth from Space) programs. Student data consisted of field observations of snow depth, snow water equivalency, cloud type, and total cloud cover. In addition, observations from the National Weather Service (NWS) Cooperative Observing Stations were used. Student observations were taken during field campaigns in the winter of 2001-2002, a winter with very little snow in the Great Lakes region, and the winters of 2000-2001 and 2002-2003, which had significant snow cover. Validation of the MOD10_L2 version 4 snow product with student observations produced an accuracy of 92% while comparison with the NWS stations produced an accuracy of 86%. The higher NWS error appears to come from forested areas. Twenty-five and fifty percent of the errors observed by the students and NWS stations, respectively, occurred when there was only a trace of snow. In addition, 82% of the MODIS cloud masked pixels were identified as either overcast or broken by the student observers while 74% of the pixels the MODIS cloud mask identified as cloudless were identified as clear, isolated or scattered cloud cover by the student observers. The experimental Liberal Cloud Mask eliminated some common errors associated with the MOD35 cloud mask, however, it was found to omit significant cloud cover. (c) 2006 Elsevier Inc. All rights reserved.
机译:NASA的中分辨率成像光谱辐射仪(MODIS)降雪产品(MOD10)可以自动创建每日,8天合成图以及每月的区域和全球积雪图。在这项研究中,在下大湖地区,特别是密歇根湖以东地区,对MOD10每日幅面图像(MOD10-L2)和MODIS云遮罩(MOD35)进行了验证。 MOD10_L2雪产品,MOD35云面罩和MOD10_L2自由云面罩的验证是使用来自K-12学生GLOBE(有益于环境的全球学习和观察)和SATELLITES(评估当地景观以解释地球的学生和老师)的实地观察进行的来自太空)程序。学生数据包括对雪深,雪水当量,云类型和总云量的实地观测。此外,还使用了国家气象局(NWS)合作观测站的观测结果。学生观察是在2001-2002年冬季,大湖地区少雪的冬季以及2000-2001年和2002-2003年冬季有大量积雪的野外运动期间进行的。通过学生观察对MOD10_L2第4版积雪进行验证,结果的准确度为92%,而与NWS台站进行比较,结果的准确度为86%。较高的NWS错误似乎来自森林地区。学生和NWS观测站分别观察到25%和50%的错误是在只有雪的情况下发生的。此外,学生观察者将82%的MODIS云遮罩像素识别为阴天或破裂,而学生观察者将74%的MODIS云遮罩识别为无云像素识别为清晰,孤立或分散的云层。实验性的Liberal Cloud Mask消除了与MOD35云掩码相关的一些常见错误,但是,发现它忽略了大量的云覆盖。 (c)2006 Elsevier Inc.保留所有权利。

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