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Summer Surface Albedo Evolution of Arctic Sea Ice –A Case Study from Ice Stations during 4th CHINARE in 2010
Poster Presentation
Prepared by W. Xia, H. Xie, S. Ackley
University of Texas at San Antonio, One UTSA Circle, San Antonio, Texas, 78249
Contact Information: kv85kv@hotmail.com; 210-601-0414
ABSTRACT
Assessing Arctic snow/ice surface albedo change is essential to understand local energy budget and ice/albedo feedback under global warming scenario. In-situ measured albedo data played essential role for large scale remote sensing monitoring of albedo change by providing ground truth reference. The direct analysis can also give substantial information for the spectral albedo change variation by time location and object been observed.
The case study for the in-situ albedo measurement during the long term ice station of 4th Chinese Arctic Research Expedition (CHINARE) with two portable spectroradiometers collecting data for snow and melt pond objects in 7 low latitude short term ice stations and 1 high latitude ice station.
Results showed the changes of surface albedo for various ground objects in different latitude, and the rapid reduction of albedo in the summer melt season. The snow albedo tend to be 0.65~0.69 in the low latitude and marginal ice zone, and reduces from 0.86 to 0.67 in one week during the high latitude long-term ice station. The melt pond object tend to be various, there are water, refrozen ice surface, and sometimes-snow covering the melt pond. The melt pond snow are only seen in the long term ice station, which have albedo of 0.75 to 0.55 in one week. The melt pond ice object tend to have a 0.38 to 0.61 albedo, which varies greatly in different latitudes.The melt pond water tend to have a higher albedo of 0.27, versus the sea water albedo of 0.18. Such rapid decreasing of sea albedo in polar region and marginal ice zone contribute much to the surface ice/albedo feedback and could significantly contribute to the rapid shrinking summer sea ice extent in Arctic.
(Related Session: Academic Research Topics in Environmental Measurement and Monitoring)
Poster Presentation
Prepared by W. Xia, H. Xie, S. Ackley
University of Texas at San Antonio, One UTSA Circle, San Antonio, Texas, 78249
Contact Information: kv85kv@hotmail.com; 210-601-0414
ABSTRACT
Assessing Arctic snow/ice surface albedo change is essential to understand local energy budget and ice/albedo feedback under global warming scenario. In-situ measured albedo data played essential role for large scale remote sensing monitoring of albedo change by providing ground truth reference. The direct analysis can also give substantial information for the spectral albedo change variation by time location and object been observed.
The case study for the in-situ albedo measurement during the long term ice station of 4th Chinese Arctic Research Expedition (CHINARE) with two portable spectroradiometers collecting data for snow and melt pond objects in 7 low latitude short term ice stations and 1 high latitude ice station.
Results showed the changes of surface albedo for various ground objects in different latitude, and the rapid reduction of albedo in the summer melt season. The snow albedo tend to be 0.65~0.69 in the low latitude and marginal ice zone, and reduces from 0.86 to 0.67 in one week during the high latitude long-term ice station. The melt pond object tend to be various, there are water, refrozen ice surface, and sometimes-snow covering the melt pond. The melt pond snow are only seen in the long term ice station, which have albedo of 0.75 to 0.55 in one week. The melt pond ice object tend to have a 0.38 to 0.61 albedo, which varies greatly in different latitudes.The melt pond water tend to have a higher albedo of 0.27, versus the sea water albedo of 0.18. Such rapid decreasing of sea albedo in polar region and marginal ice zone contribute much to the surface ice/albedo feedback and could significantly contribute to the rapid shrinking summer sea ice extent in Arctic.
(Related Session: Academic Research Topics in Environmental Measurement and Monitoring)