TY - JOUR A2 - 桥口博之AU - 秋月，杰西卡AU - 帕雷德斯 - 梅萨，斯蒂芬妮·AU - Lakhankar，Tarendra AU - 罗曼诺夫，彼得AU - 克拉考尔，尼尔AU - Khanbilvardi，雷扎AU - 费拉罗，拉尔夫PY - 2020 DA -2020年3月23日TI - 比对和大鹏的验证，的MSPP和IMS积雪产品SP - 4532478 VL - 2020 AB - 我们评估NESDIS微波统一检索系统内的微波频段卫星观测产生的自动化雪产品之间的协议(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. SN - 1687-9309 UR - https://doi.org/10.1155/2020/4532478 DO - 10.1155/2020/4532478 JF - Advances in Meteorology PB - Hindawi KW - ER -