Brighter Ocean: Arctic sea ice solar partitioning
Data files
Nov 24, 2025 version files 27.07 GB
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BO_EASE2_gridded_25km_1984.nc
682.25 MB
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BO_EASE2_gridded_25km_1985.nc
758.80 MB
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BO_EASE2_gridded_25km_1986.nc
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BO_EASE2_gridded_25km_1987.nc
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BO_EASE2_gridded_25km_1988.nc
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BO_EASE2_gridded_25km_1989.nc
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BO_EASE2_gridded_25km_1990.nc
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BO_EASE2_gridded_25km_1991.nc
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BO_EASE2_gridded_25km_1992.nc
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BO_EASE2_gridded_25km_1993.nc
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BO_EASE2_gridded_25km_1994.nc
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BO_EASE2_gridded_25km_1995.nc
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BO_EASE2_gridded_25km_1996.nc
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BO_EASE2_gridded_25km_1997.nc
754.14 MB
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BO_EASE2_gridded_25km_1998.nc
686.22 MB
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BO_EASE2_gridded_25km_1999.nc
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BO_EASE2_gridded_25km_2000.nc
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BO_EASE2_gridded_25km_2001.nc
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BO_EASE2_gridded_25km_2002.nc
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BO_EASE2_gridded_25km_2003.nc
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BO_EASE2_gridded_25km_2004.nc
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BO_EASE2_gridded_25km_2005.nc
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BO_EASE2_gridded_25km_2006.nc
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BO_EASE2_gridded_25km_2007.nc
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BO_EASE2_gridded_25km_2008.nc
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BO_EASE2_gridded_25km_2009.nc
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BO_EASE2_gridded_25km_2010.nc
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BO_EASE2_gridded_25km_2011.nc
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BO_EASE2_gridded_25km_2012.nc
637.47 MB
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BO_EASE2_gridded_25km_2013.nc
714.61 MB
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BO_EASE2_gridded_25km_2014.nc
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BO_EASE2_gridded_25km_2015.nc
640.61 MB
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BO_EASE2_gridded_25km_2016.nc
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BO_EASE2_gridded_25km_2017.nc
624.17 MB
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BO_EASE2_gridded_25km_2018.nc
702.20 MB
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BO_EASE2_gridded_25km_2019.nc
696.75 MB
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BO_EASE2_gridded_25km_2020.nc
619.70 MB
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BO_EASE2_gridded_25km_2021.nc
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BO_EASE2_gridded_25km_2022.nc
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README.md
4.99 KB
Abstract
This dataset contains the partitioning of the surface downwelling radiative fluxes by the Arctic sea ice by reflection, absorption, and transmission. The dataset covers the period from 1984 to 2022 and was provided on 25 km resolution on the NSIDC EASE2 grid.
Dataset DOI: 10.5061/dryad.n02v6wxb5
Description of the data and file structure
Our focus is on the large-scale partitioning of the incident solar radiation between reflection to the atmosphere (albedo, a), absorption in the ice (absorptance, A) and transmission to the ocean (transmittance, T). These parameters were determined every day from 1984 to 2022 at every point on the Equal Area Scalable Earth 2.0 (EASE2) grid, within the sea ice extent boundary. The basis for the analysis relies on several satellite and model products. These include geophysical variables of shortwave radiation, surface melt and freeze onset dates, as well as sea ice concentration, age, and thickness.
Sea ice albedo is estimated using a multiphase albedo evolution determined for first year ice (Perovich and Polashenski, 2012) and multiyear ice (Perovich et al., 2002; Light et al., 2022). Distinct albedo evolutions for first-year and multiyear sea ice are computed using Version 4 of the EASE-grid Sea Ice Age product by Tschudi et al. (2019). The dates of melt and freeze-up book-end the Arctic melt season and govern the seasonal evolution of surface albedo of sea ice. For the onset dates of continuous melt and continuous freeze, we use passive microwave retrievals at 25-km resolution produced by Markus et al. (2009). The ice concentration is a key parameter in determining the solar partitioning. We use passive microwave retrievals from the NASA Bootstrap algorithm (Comiso, 1986), which are available in the NOAA/NSIDC Climate Data Record (Meier et al., 2021). The product is provided at daily 25-km gridded resolutions. In some instances, temporal gaps in the data exist due to inconsistent satellite coverage.
Transmittance through the ice is defined by an exponential decay law of the form and corrected for the near infrared light absorbed by the snow and ice and not transmitted. The correction ratio is estimated to vary from about 0.55 for clear skies to 0.62 for complete cloud cover. An average value of 0.58 is used in this study. The ice extinction coefficient for visible light. Based on field observations (Light et al., 2008, 2015), we use 1.0 m-1 for an ice cover dominated by bare ice (0.5 < ai < 0.7), 3.0 m-1 for a cover dominated by snow (ai > 0.7), and 0.7 m-1 for an ice cover dominated by melt ponds (ai < 0.5). Sea ice thickness and is determined using the simulated thickness from the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) (Zhang and Rothrock, 2003).
Files and variables
File: BO_EASE2_gridded_25km_YYYY.nc
Description: for year YYYY.
Variables:
dimensions: X = 263, Y = 263, time=365 or 366.
insol (time,Y,X): surface downwelling solar radiative flux
sic (time,Y,X): sea ice concentration
sith (time,Y,X): sea ice thickness
iceage (time,Y,X): sea ice age
emelt, efreeze, fmelt, ffreeze (Y,X): Early ('e')/full ('f') melt/freeze onset date, in day-of-year.
alb_yyy (time,Y,X): ice albedo using albedo scheme yyy. The albedo scheme include MYI (using multi-year ice scheme), FYI (using first-year ice scheme), and AGE (combined multi-year and first-year albedo depending on ice age).
h_xxx_yyy (time,Y,X): heat flux on xxx surface type using albedo scheme yyy, with unit of W/m2. The xxx surface types include nIC (assuming fully ice covered), ice (ice portion of the gridbox), ocn (open water portion of the gridbox). The yyy albedo scheme include MYI (using multi-year ice scheme), FYI (using first-year ice scheme), and AGE (combined multi-year and first-year albedo depending on ice age). An exemption is h_ocn_SIC, the heat input to the open water portion of the gridbox using the sea ice concentration.
accu_h_xxx_yyy (time,Y,X): the accumulated heat input into the gridbox, with unit of MJ/m2.
hthr_ice_xxx_KAPPA0 (time,Y,X): the heat through ice portion of the gridbox, using albedo scheme xxx and constant ice extinction coefficient kappa of 1, with unit of W/m2.
hthr_ice_xxx_KAPPA_ALB (time,Y,X): the heat through ice portion of the gridbox, using albedo scheme xxx and ice extinction coefficient kappa depending on ice albedo value, with unit of W/m2.
accu_hthr_ice_xxx_KAPPA0 (time,Y,X): the accumulated heat through ice portion of the gridbox, using albedo scheme xxx and constant ice extinction coefficient kappa of 1, with unit of MJ/m2.
accu_hthr_ice_xxx_KAPPA_ALB (time,Y,X): the accumulated heat through ice portion of the gridbox, using albedo scheme xxx and ice extinction coefficient kappa depending on ice albedo value, with unit of MJ/m2.
Code/software
The software for processing and analyze this dataset is published on Zenodo: 10.5281/zenodo.17675721
The developmental package is hosted o GitHub: https://github.com/liuzheng-arctic/BrighterOcean
