Summary: | Introduction Implementation at Takuvik of the algorithm of (Belanger, Babin et al. 2013) to compute daily primary productivities and other physical and biological products above 45° North. Data and Methods Data The primary production model used three kinds of data. The three kinds of data were sea ice concentrations, atmospheric products and water-leaving reflectances (R rs ). Two data sets were used for the sea ice concentrations. The title of the first data set is Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I)-Special Sensor Microwave Imager/Sounder (SSMIS) Passive Microwave Data (Cavalieri 1996, updated yearly) (v1.1). This data set comes from the National Snow and Ice Data Center (NSIDC) (ftp://sidads.colorado.edu/pub/DATASETS/nsidc0051_gsfc_nasateam_seaice). This data set was used for years 1998 through 2015. From 1998 to 2007, the platform DMSP-F13 and the instrument SSM/I were used. From 2008 to 2015, the platform DMSP-F17 and the instrument SSMIS were used. The temporal resolution is daily. The spatial resolution is 25 x 25 km. The title of the second sea ice concentration data set is Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Sea Ice Concentrations (Maslanik 1999, updated daily). This data set comes from the NSIDC (ftp://sidads.colorado.edu/pub/DATASETS/nsidc0081_nrt_nasateam_seaice/). This data set was used for year 2016. The platform DMSP-F17 and the instrument SSMIS were used. The temporal resolution is daily. The spatial resolution is 25 x 25 km. The atmospheric products data were the total ozone concentration O 3 , cloud fraction CF over the pixel and cloud optical thickness τ CL . Two data sets were used and compared. The title of the first data set is Flux Data-Surface Radiative Fluxes (FD-SRF). The product total column ozone (tlo3__) was used for the parameter O 3 . The product mean cloud fraction (cf_m__) was used for the parameter CF. The product Mean ...
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