| Summary: | NESOSIMis a three-dimensional, two-layer (vertical), Eulerian snow on sea ice budget model developed with the primary aim of producing daily estimates of the depth and density of snow on sea ice across the polar oceans through the winter accumulation season(Petty et al., 2018). This repository contains model output from September 1st 1980 to April 30th 2021 based on the NESOSIM v1.1 code release which is available on GitHub (https://github.com/akpetty/NESOSIM/tree/v1.1)and archived through Zenodo (10.5281/zenodo.4448355). More information about changes between the v1.0 and v1.1 model framework can be found in those links. A manuscript is being prepared which will provide further insights. Data production: Data are re-initialized at the end of summer each year (September 1st) using summer near-surface air temperature-scaled initial snow depthsand run through until the end of April of the following year. The 1987-1988 winter is missing due to the lack of passive-microwave derived ice concentration data available during this period. Daily data are generated on a 100 km x 100 km North Polar Stereographic grid (EPSG: 3413) across the entire Arctic Ocean including the peripheral seas. Forcings: NB: Recent year runsoften require the use of near-real-time data products, so the underlying forcings used in this v1.1 release can change in time,as noted below: Snowfall:European Center for Medium Range Weather Forecasts (ECMWF) ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021)+ CloudSat scaling (Cabaj et al., 2020). Near-surface winds:ECMWFERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021). Sea ice drift:NSIDC Polar Pathfinder v4 (https://nsidc.org/data/nsidc-0116,September 1 1980 to April 30 2019),OSI SAF merged (https://osi-saf.eumetsat.int/products/osi-405-c,September 12019 to April 30 2021). Sea ice concentration: Final v3NSIDC Climate Data Record (https://nsidc.org/data/g02202/versions/3/,September 1 1980 to December 31 2020), andnear-real-time v2NSIDC Climate Data ...
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