当前位置: X-MOL 学术Adv. Meteorol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products
Advances in Meteorology ( IF 2.1 ) Pub Date : 2020-03-23 , DOI: 10.1155/2020/4532478
Jessica Chiu 1 , Stephany Paredes-Mesa 1, 2 , Tarendra Lakhankar 1 , Peter Romanov 1, 3 , Nir Krakauer 1 , Reza Khanbilvardi 1 , Ralph Ferraro 3
Affiliation  

We evaluate the agreement between automated snow products generated from satellite observations in the microwave bands within NESDIS Microwave Integrated Retrieval System (MIRS) and Microwave Surface and Precipitation Products System (MSPPS), on the one hand, and snow cover maps produced with manual input by the NOAA’s Interactive Multisensor Snow and Ice Mapping System (IMS), on the other. MIRS uses physically based retrievals of atmospheric and surface state parameters to provide daily global maps of snow cover and snow water equivalent at 50 km resolution. The older MSPPS delivers daily global maps at the spatial resolution of 45 km and utilizes mostly simple empirical algorithms to retrieve information. IMS daily maps of snow and sea ice cover for the Northern Hemisphere are produced interactively through the analysis of satellite imagery in the visible, infrared, and microwave spectral bands. We compare the performances of these products across the Northern Hemisphere for 2014–2017, using IMS as the standard. In this intercomparison, the daily overall agreement of the automated snow products with IMS ranges between 88% and 99% for MIRS and 87% and 99% for MSPPS. However, daily snow sensitivity is lower, ranging between 36% and 90% for MIRS and 26% and 91% for MSPPS. We analyze this disagreement rate as a function of terrain and land cover type, finding that, relative to IMS, MIRS shows fewer false positives but more false negatives than MSPPS over high elevation and grassland areas.

中文翻译:

MIRS,MSPPS和IMS Snow Cover产品的比对和验证

一方面,我们评估由NESDIS微波综合检索系统(MIRS)和微波地面与降水产品系统(MSPPS)内的微波波段中的卫星观测产生的自动积雪产品与由人工输入的积雪图之间的一致性。另一方面,NOAA的交互式多传感器冰雪制图系统(IMS)。MIRS使用基于物理的大气和表面状态参数检索来提供50 km分辨率的每日积雪和雪水当量全球地图。较旧的MSPPS每天以45 km的空间分辨率提供全球地图,并利用大多数简单的经验算法来检索信息。通过对可见,红外和微波光谱带中的卫星图像进行分析,以交互方式制作了IMS对北半球冰雪覆盖的每日地图。我们以IMS为标准,比较了这些产品在2014-2017年整个北半球的性能。在这种比较中,MIRS的自动除雪产品与IMS的每日总体协议范围介于MIRS的88%至99%和MSPPS的87%至99%之间。但是,每日的降雪敏感性较低,MIRS的降雪量在36%至90%之间,MSPPS的降雪量在26%至91%之间。我们分析了这种分歧率随地形和土地覆盖类型的变化,发现相对于IMS,MIRS在高海拔和草原地区显示出的误报率比MSPPS少,但误报率却更高。我们以IMS为标准,比较了这些产品在2014-2017年整个北半球的性能。在这种比较中,MIRS的自动除雪产品与IMS的每日总体协议介于MIRS的88%至99%和MSPPS的87%至99%之间。但是,每日的降雪敏感性较低,MIRS的降雪量在36%至90%之间,MSPPS的降雪量在26%至91%之间。我们分析了这种分歧率随地形和土地覆盖类型的变化,发现相对于IMS,MIRS在高海拔和草原地区显示出的误报率比MSPPS少,但误报率却更高。我们以IMS为标准,比较了这些产品在2014-2017年整个北半球的性能。在这种比较中,MIRS的自动除雪产品与IMS的每日总体协议范围介于MIRS的88%至99%和MSPPS的87%至99%之间。但是,每日的降雪敏感性较低,MIRS的降雪量在36%至90%之间,MSPPS的降雪量在26%至91%之间。我们分析了这种分歧率随地形和土地覆盖类型的变化,发现相对于IMS,MIRS在高海拔和草原地区显示出的误报率比MSPPS少,但误报率却更高。MIRS的自动雪具产品的每日总体协议范围在MIRS的88%至99%和MSPPS的87%至99%之间。但是,每日的降雪敏感性较低,MIRS的降雪量在36%至90%之间,MSPPS的降雪量在26%至91%之间。我们分析了这种分歧率随地形和土地覆盖类型的变化,发现相对于IMS,MIRS在高海拔和草原地区显示出的误报率比MSPPS少,但误报率却更高。MIRS的自动雪具产品的每日总体协议范围在MIRS的88%至99%和MSPPS的87%至99%之间。但是,每日的降雪敏感性较低,MIRS的降雪量在36%至90%之间,MSPPS的降雪量在26%至91%之间。我们分析了这种分歧率随地形和土地覆盖类型的变化,发现相对于IMS,MIRS在高海拔和草原地区显示出的误报率比MSPPS少,但误报率却更高。
更新日期:2020-03-23
down
wechat
bug