TY - JOUR
T1 - Ship-based estimates of momentum transfer coefficient over sea ice and recommendations for its parameterization
AU - Srivastava, Piyush
AU - Brooks, Ian M.
AU - Prytherch, John
AU - Salisbury, Dominic J.
AU - Elvidge, Andrew D.
AU - Renfrew, Ian A.
AU - Yelland, Margaret J.
N1 - Financial support: This research has been supported by the UK Natural Environment Research Council (NERC; grant nos. NE/S000453/1 and NE/S000690/1). Margaret J. Yelland was also supported by NERC (grant nos. NE/N018095/1 and NE/V013254/1). The contribution of Ian M. Brooks, John Prytherch, and Dominic J. Salisbury to the ACSE cruise was funded by NERC (grant no. NE/K011820/1). Participation in the AO2016 cruise was supported by the Swedish Polar Research Secretariat. John Prytherch was also supported by the Knut and Alice Wallenberg Foundation (grant no. 2016-0024). Piyush Srivastava was supported by the Department of Science and Technology (DST), Government of India (grant no. DST/INSPIRE/04/2019/003125).
PY - 2022/4/12
Y1 - 2022/4/12
N2 - A major source of uncertainty in both climate projections and seasonal forecasting of sea ice is inadequate representation of surface–atmosphere exchange processes. The observations needed to improve understanding and reduce uncertainty in surface exchange parameterizations are challenging to make and rare. Here we present a large dataset of ship-based measurements of surface momentum exchange (surface drag) in the vicinity of sea ice from the Arctic Clouds in Summer Experiment (ACSE) in July–October 2014, and the Arctic Ocean 2016 experiment (AO2016) in August–September 2016. The combined dataset provides an extensive record of momentum flux over a wide range of surface conditions spanning the late summer melt and early autumn freeze-up periods, and a wide range of atmospheric stabilities. Surface exchange coefficients are estimated from in situ eddy covariance measurements. The local sea-ice fraction is determined via automated processing of imagery from ship-mounted cameras. The surface drag coefficient, CD10n, peaks at local ice fractions of 0.6–0.8, consistent with both recent aircraft-based observations and theory. Two state-of-the-art parameterizations have been tuned to our observations, with both providing excellent fits to the measurements.
AB - A major source of uncertainty in both climate projections and seasonal forecasting of sea ice is inadequate representation of surface–atmosphere exchange processes. The observations needed to improve understanding and reduce uncertainty in surface exchange parameterizations are challenging to make and rare. Here we present a large dataset of ship-based measurements of surface momentum exchange (surface drag) in the vicinity of sea ice from the Arctic Clouds in Summer Experiment (ACSE) in July–October 2014, and the Arctic Ocean 2016 experiment (AO2016) in August–September 2016. The combined dataset provides an extensive record of momentum flux over a wide range of surface conditions spanning the late summer melt and early autumn freeze-up periods, and a wide range of atmospheric stabilities. Surface exchange coefficients are estimated from in situ eddy covariance measurements. The local sea-ice fraction is determined via automated processing of imagery from ship-mounted cameras. The surface drag coefficient, CD10n, peaks at local ice fractions of 0.6–0.8, consistent with both recent aircraft-based observations and theory. Two state-of-the-art parameterizations have been tuned to our observations, with both providing excellent fits to the measurements.
U2 - 10.5194/acp-22-4763-2022
DO - 10.5194/acp-22-4763-2022
M3 - Article
VL - 22
SP - 4763
EP - 4778
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
SN - 1680-7324
IS - 7
ER -