Abstract:Abstract.Pond color, which creates the visual appearance of melt ponds on Arctic sea ice in summer, is quantitatively investigated in this study. A two-stream radiative transfer model is used for ponded sea ice: the upwelling irradiance from the pond surface is determined, and then the upwelling spectrum is transformed into the RGB color space through a 10 colorimetric method. The dependence of pond color on various factors such as water and ice properties and incident solar radiation is investigated. The resu… Show more
“…The mean incident solar irradiance F 0 ( λ ) under overcast sky conditions at noon in August, where the solar disk was not visible (Grenfell & Perovich, ), is employed to represent Arctic summer. A sensitivity study on F 0 is ignored here because model simulations showed that variations in melt‐pond albedo and transmittance due to different values of F 0 are less than 3%, similar with the results in Lu et al () and Lu, Leppäranta, et al (). However, the spectral distribution rather than the absolute value of F 0 ( λ ) is needed when calculating the AOPs.…”
Section: Model Setupsupporting
confidence: 81%
“…Pond color, as sensed by human eyes, is another visual characterization of melt ponds in addition to their albedo. A colorimetric method to determine the color of a melt pond has been developed by Lu, Leppäranta, et al (), which transforms the upwelling spectral irradiance from the pond surface into red, green, and blue intensities in the RGB color space using color matching functions (Hunt, ), so that the melt‐pond color can be quantitatively evaluated. In this part of the analysis, the thickness and scattering coefficient of the ice lid are altered to examine the RGB color of refreezing melt ponds.…”
Section: Resultsmentioning
confidence: 99%
“…More validations are desired, but formal investigations on melt‐pond color are rare. A detailed comparison between simulated and observed melt‐pond color refers to Lu, Leppäranta, et al (), where quantitative measurements on the color of melt ponds covered with a newly formed ice layer (1–3 cm) by Istomina et al () were employed. Such thin ice lids pose negligible impacts on the melt‐pond albedo (Malinka et al, ) as well as on the pond color, so the comparison was not repeated here with illustrations.…”
Section: Resultsmentioning
confidence: 99%
“…Such thin ice lids pose negligible impacts on the melt‐pond albedo (Malinka et al, ) as well as on the pond color, so the comparison was not repeated here with illustrations. A high correlation coefficient (0.744) with a significance level less than 0.01 argued for the feasibility of the RTM and the method of melt‐pond color estimation (Lu, Leppäranta, et al, ).…”
Section: Resultsmentioning
confidence: 99%
“…Our focus was first on the model construction (Lu et al, ) and then on a better understanding of how solar radiation is partitioned in melting sea ice (Lu, Cheng, et al, ). Thereafter, we looked for any dependence of melt‐pond color on ice thickness (Lu, Leppäranta, et al, ).…”
To investigate the influence of a surface ice lid on the optical properties of a melt pond, a radiative transfer model was employed that includes four plane‐parallel layers: an ice lid, a melt pond, the underlying ice, and the ocean beneath the ice. The thickness Hs and the scattering coefficient σs of the ice lid are altered. Variations in the spectral albedo αλ and transmittance Tλ due to Hs for a transparent ice lid are limited, and scattering in the ice lid has a pronounced impact on the albedo of melt ponds as well as the vertical distribution of spectral irradiance in ponded sea ice. The thickness of the ice lid determines the amount of solar energy absorbed. A 2‐cm‐thick ice lid can absorb 13% of the incident solar energy, half of the energy absorbed by a 30‐cm‐deep meltwater layer below the lid. This has an influence on the thermodynamics of melting sea ice. The color and spectral albedo of refreezing melt ponds depend on the value of the dimensionless number σs·Hs. Good agreement between field measurements and our model simulations is found. The number σs·Hs is confirmed to be a good index showing that the influence of an ice lid with σs·Hs < 0.5 is negligible. This criterion can be easily performed during field observations through visually judging whether the ice lid has significantly changed the color of liquid melt ponds or not.
“…The mean incident solar irradiance F 0 ( λ ) under overcast sky conditions at noon in August, where the solar disk was not visible (Grenfell & Perovich, ), is employed to represent Arctic summer. A sensitivity study on F 0 is ignored here because model simulations showed that variations in melt‐pond albedo and transmittance due to different values of F 0 are less than 3%, similar with the results in Lu et al () and Lu, Leppäranta, et al (). However, the spectral distribution rather than the absolute value of F 0 ( λ ) is needed when calculating the AOPs.…”
Section: Model Setupsupporting
confidence: 81%
“…Pond color, as sensed by human eyes, is another visual characterization of melt ponds in addition to their albedo. A colorimetric method to determine the color of a melt pond has been developed by Lu, Leppäranta, et al (), which transforms the upwelling spectral irradiance from the pond surface into red, green, and blue intensities in the RGB color space using color matching functions (Hunt, ), so that the melt‐pond color can be quantitatively evaluated. In this part of the analysis, the thickness and scattering coefficient of the ice lid are altered to examine the RGB color of refreezing melt ponds.…”
Section: Resultsmentioning
confidence: 99%
“…More validations are desired, but formal investigations on melt‐pond color are rare. A detailed comparison between simulated and observed melt‐pond color refers to Lu, Leppäranta, et al (), where quantitative measurements on the color of melt ponds covered with a newly formed ice layer (1–3 cm) by Istomina et al () were employed. Such thin ice lids pose negligible impacts on the melt‐pond albedo (Malinka et al, ) as well as on the pond color, so the comparison was not repeated here with illustrations.…”
Section: Resultsmentioning
confidence: 99%
“…Such thin ice lids pose negligible impacts on the melt‐pond albedo (Malinka et al, ) as well as on the pond color, so the comparison was not repeated here with illustrations. A high correlation coefficient (0.744) with a significance level less than 0.01 argued for the feasibility of the RTM and the method of melt‐pond color estimation (Lu, Leppäranta, et al, ).…”
Section: Resultsmentioning
confidence: 99%
“…Our focus was first on the model construction (Lu et al, ) and then on a better understanding of how solar radiation is partitioned in melting sea ice (Lu, Cheng, et al, ). Thereafter, we looked for any dependence of melt‐pond color on ice thickness (Lu, Leppäranta, et al, ).…”
To investigate the influence of a surface ice lid on the optical properties of a melt pond, a radiative transfer model was employed that includes four plane‐parallel layers: an ice lid, a melt pond, the underlying ice, and the ocean beneath the ice. The thickness Hs and the scattering coefficient σs of the ice lid are altered. Variations in the spectral albedo αλ and transmittance Tλ due to Hs for a transparent ice lid are limited, and scattering in the ice lid has a pronounced impact on the albedo of melt ponds as well as the vertical distribution of spectral irradiance in ponded sea ice. The thickness of the ice lid determines the amount of solar energy absorbed. A 2‐cm‐thick ice lid can absorb 13% of the incident solar energy, half of the energy absorbed by a 30‐cm‐deep meltwater layer below the lid. This has an influence on the thermodynamics of melting sea ice. The color and spectral albedo of refreezing melt ponds depend on the value of the dimensionless number σs·Hs. Good agreement between field measurements and our model simulations is found. The number σs·Hs is confirmed to be a good index showing that the influence of an ice lid with σs·Hs < 0.5 is negligible. This criterion can be easily performed during field observations through visually judging whether the ice lid has significantly changed the color of liquid melt ponds or not.
AbstractThe evolution of melt ponds on Arctic sea ice in summer is one of the main factors that affect sea-ice albedo and hence the polar climate system. Due to the different spectral properties of open water, melt pond and sea ice, the melt pond fraction (MPF) can be retrieved using a fully constrained least-squares algorithm, which shows a high accuracy with root mean square error ~0.06 based on the validation experiment using WorldView-2 image. In this study, the evolution of ponds on first-year and multiyear ice in the Canadian Arctic Archipelago was compared based on Sentinel-2 and Landsat 8 images. The relationships of pond coverage with air temperature and albedo were analysed. The results show that the pond coverage on first-year ice changed dramatically with seasonal maximum of 54%, whereas that on multiyear ice changed relatively flat with only 30% during the entire melting period. During the stage of pond formation, the ponds expanded rapidly when the temperature increased to over 0°C for three consecutive days. Sea-ice albedo shows a significantly negative correlation (R = −1) with the MPF in melt season and increases gradually with the refreezing of ponds and sea ice.
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