For the first time 11 passive microwave sea ice algorithms will be compared and validated for Arctic sea ice concentration using brightness temperature data from SMMR, SSM/I since 1978 and recent AMSR-E and SMOS data. Validation will be done by SAR, Scatterometer and optical and infrared satellite data such as AVHRR and Landsat. Sea ice algorithms for thin and thick ice will be implemented using passive microwave, radar and laser altimeters, optical and infrared satellite data and validated by using in-situ observations.
Implement and validate retrieval algorithms of ice concentration, ice types, ice thickness and volume in the Arctic from passive and active satellite microwave data, in order to improve the quantification of sea ice variability, trends and uncertainties over the last 3 decades.
(1) Implement and compare 11 existing passive microwave algorithms and validate them with active, optical and infrared satellite data
(2) Select the optimal algorithm(s) and/or create an ensemble algorithm
(3) Implement and validate available sea ice thickness algorithms from passive microwave, radar and laser altimeters, infrared sensors and in-situ observations and estimate ice volume for the last 2 decades
(4) Investigate sea ice variability, trends and uncertainties including correlation to atmospheric/ocean indices, sea ice drift and models and increasing atmospheric CO2
(5) Dissemination of the ice products into the EuroGOOS Arctic ROOS ice information system.