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Drowning by Numbers: Progress Towards CCSM 4.0

Explore the integration of advanced modeling techniques like Delta-Eddington shortwave radiation and Melt Ponds in the upcoming CCSM 4.0 climate simulation system. Discover the impact of sea ice melt ponds on albedo evolution and climate sensitivity. Work in progress includes CICE 4.0 enhancements and DE performance tuning for improved accuracy in modeling. Why use Delta-Eddington and Melt Ponds? They offer more physical accuracy, handle complex scenarios, and enhance interactions with snow aging and radiation. Stay informed on the latest advancements in climate science!

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Drowning by Numbers: Progress Towards CCSM 4.0

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  1. Drowning by Numbers: Progress Towards CCSM 4.0 David Bailey, NCAR

  2. 9/30/08! PCWG plans for CCSM 4.0 Science frozen by September 30, 2008. • CICE 4.0  • Delta-Eddington shortwave  • Melt ponds  • Snow-aging / snow model ? Scene from the film Drowning by Numbers (1988).

  3. Sea Ice Melt Ponds • Ponds are prevalent on sea ice • Influence surface albedo and ice mass budget • Code has been added to explicitly simulate melt ponds and their albedo effects Albedo Evolution During SHEBA (Perovich et al. 2002)

  4. Melt Pond Parameterization • Accumulate 15-65% of snow, surface ice melt, and rain into pond volume, depending on ice fraction. • Pond fraction is reduced by snow fraction. • Compute pond area/depth from simple empirically-based relationship. • Currently no change in fresh-water exchange. • Pond volume is advected as a CICE tracer. • Change in albedo depends on pond fraction and / or depth.

  5. Perovich et al. 2003 SHEBA observations Pond Volume = Pond Fraction X Pond Depth Pond Depth = 0.8 X Pond Fraction Runoff fraction = 0.85 - 0.5 * Ice Fraction

  6. Delta-Eddington Shortwave Radiation • Briegleb and Light, 2007. • New shortwave radiation scheme that computes albedos based on inherent optical properties of sea ice, snow, and ponds. • Albedos are “tuned” by adjusting snow and ice properties based on a standard deviation from SHEBA observations and offline RT calculations.

  7. Previous Experiments • CCSM 3.0 experiments with and without melt ponds showed a strong sensitivity to the prescribed runoff fraction. • DE requires a melt pond fraction and depth (prescribed by default). • Experiments comparing DE vs CCSM shortwave (without explicit ponds) showed generally thinner ice. • Need to include rain.

  8. CCSM 3.5 Experiments (atm-ice-som)

  9. Results (Radiation / Melt Ponds - Present Day)

  10. Results (Radiation / Melt Ponds - Future)

  11. Results (Radiation / Melt Ponds - Present vs Future) f35.002de Melt Pond Area (%) f35.002deco2-f35.002de f35.002deco2

  12. Results (Radiation / Melt Ponds - Present vs Future)

  13. Summary • Implicit melt ponds in CCSM3 essentially captured the basic albedo effects compared to this simple explicit melt pond formulation. • While DE and CCSM shortwave can be tuned to give similar results, DE provides more generality. • Climate sensitivity in all configurations is similar. • In a 2 x CO2 world, the shift to more rain and less snow along with enhanced surface ice melt appears to mostly compensate the pond accumulation. • Generally fewer ponds in the future, likely due to ice-fraction dependent runoff.

  14. Why use Delta-Eddington and Melt Ponds? • More physical. • Allows for addition of soot, algae, etc. • Handles multiple snow layers. • Addition of snow-aging easily works with radiation. • Interaction with more complicated melt ponds?

  15. Work in Progress • CICE 4.0 numerical / software engineering enhancements. • DE performance and tuning. • Melt ponds and DE soon to be the default in CCSM4 fully-coupled runs. • Snow aging / snow model?

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