Detection of terrestrial snowmelt of China based on QuikSCAT

Yurong Cui, Chuan Xiong, Jiancheng Shi, Lingmei Jiang, Bin Peng, Tongxi Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Snow cover is one of the most important components in predicting global water and influence the global heat budget. In this study, we reported the spatial and temporal distribution of seasonal wet snow cover derived from enhanced resolution (4.45 km/pix) QuikSCAT Ku band backscatter measurements in the winters of 2002-2009 of China. A threshold method was used to detect melt events. The main melt event was identified by the longest of melt duration. The wet snow map derived from satellite data over China was compared with in situ snow and air temperature measurements from Global Historical Climatology Network.

Original languageEnglish (US)
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4921-4923
Number of pages3
ISBN (Electronic)9781509033324
DOIs
StatePublished - Nov 1 2016
Externally publishedYes
Event36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
Duration: Jul 10 2016Jul 15 2016

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2016-November

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/TerritoryChina
CityBeijing
Period7/10/167/15/16

Keywords

  • Ku band
  • QuikSCAT
  • Wet snow

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

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