Evaluation of snow products over the Tibetan Plateau

作者:Yang, JT (Yang, Juntao)[ 1,2 ] ; Jiang, LM (Jiang, Lingmei)[ 1,2 ] ; Menard, CB (Menard, Cecile B.)[ 3 ] ; Luojus, K (Luojus, Kari)[ 3 ] ; Lemmetyinen, J (Lemmetyinen, Juha)[ 3 ] ; Pulliainen, J (Pulliainen, Jouni)[ 3 ]

HYDROLOGICAL PROCESSES

卷: 29  期: 15  页: 3247-3260

DOI: 10.1002/hyp.10427

出版年: JUL 15 2015

摘要

Four satellite-based snow products are evaluated over the Tibetan Plateau for the 2007-2010 snow seasons. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua snow cover daily L3 Global 500-m grid products (MOD10A1 and MYD10A1), the National Oceanic and Atmospheric Administration Interactive Multisensor Snow and Ice Mapping System (IMS) daily Northern Hemisphere snow cover product and the Advanced Microwave Scanning Radiometer - Earth Observing System Daily Snow Water Equivalent were validated against Thematic Mapper (TM) snow cover maps of Landsat-5 and meteorological station snow depth observations. The overall accuracy of MOD10A1, MYD10A1 and IMS is higher than 91% against stations observations and than 79% against Landsat TM images. In general, the daily MODIS snow cover products show better performance than the multisensor IMS product. However, the IMS snow cover product is suitable for larger scale (similar to 4km) analysis and applications, with the advantage over MODIS to allow for mitigation for cloud cover. The accuracy of the three products decreases with decreasing snow depth. Overestimation errors are most common over forested regions; the IMS and Advanced Microwave Scanning Radiometer - Earth Observing System Snow Water Equivalent products also show poorer performance that the MODIS products over grassland. By identifying weaknesses in the satellite products, this study provides a focus for the improvement of snow products over the Tibetan plateau. The quantitative evaluation of the products proposed here can also be used to assess their relative weight in data assimilation, against other data sources, such as modelling and in situ measurement networks. Copyright (c) 2015 John Wiley & Sons, Ltd.

通讯作者地址: Jiang, LM (通讯作者)

Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China

[ 3 ] Finnish Meteorol Inst, Arctic Res Ctr, Helsinki 00560, Finland