Nighttime Cool Skin Effect Observed from Infrared SST Autonomous Radiometer (ISAR) and Depth Temperatures

Author:

Zhang Haifeng1,Beggs Helen2,Ignatov Alexander3,Babanin Alexander V.4

Affiliation:

1. Department of Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia

2. Bureau of Meteorology, Melbourne, Victoria, Australia

3. NOAA/STAR, College Park, Maryland

4. Department of Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia, and Laboratory for Regional Oceanography and Numerical Modeling, National Laboratory for Marine Science and Technology, Qingdao, China

Abstract

AbstractThe nighttime ocean cool skin signal ΔT [defined as skin sea surface temperature (SSTskin) minus depth SST (SSTdepth)] is investigated using 103 days of matchups between shipborne Infrared SST Autonomous Radiometer (ISAR) SSTskin and water intake SSTdepth at ~7.1–9.9-m depths, in oceans around Australia. Before data analysis, strict quality control of ISAR SSTskin data is conducted and possible diurnal warming contamination is carefully minimized. The statistical distribution of ΔT, and its dependencies on wind speed, heat flux, etc., are consistent with previous findings. The overall average ΔT value is −0.23 K. It is observed that the magnitude of the cool skin signal increases after midnight and a coolest skin offset (with an average value of −0.36 K) is found at around dawn. The dependency of ΔT on SST conditions is observed. Direct warm skin events are discovered when the net heat flux direction is from the atmosphere to the ocean, which is more likely to occur at high latitudes when the air is very humid and warmer than the SST. In addition, several cool skin models are validated: one widely used physical model performs best and can capture most skin-effect trends and details; the empirical models only reflect the basic features of the observed ΔT values. If the user cannot apply the physical model (due to, e.g., the algorithm complexity or missing inputs), then the empirical parameterization in the form proposed in a 2002 study can be used. However, we recommend using a new set of parameters, calculated in this study, based on much more representative dataset, and with more rigorous quality control.

Funder

Australian Research Council Discovery Project

DISI Australia-China Centre

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Reference48 articles.

1. Assimilation for skin SST in the NASA GEOS atmospheric data assimilation system;Akella;Quart. J. Roy. Meteor. Soc.,2017

2. Warm layer and cool skin corrections for bulk water temperature measurements for air-sea interaction studies;Alappattu;J. Geophys. Res. Oceans,2017

3. Role of surface fluxes in ocean general circulation models using satellite sea surface temperature: Validation of and sensitivity to the forcing frequency of the Mediterranean thermohaline circulation;Artale;J. Geophys. Res.,2002

4. Beggs, H., N.Morgan, and J.Sisson, 2017: IMOS ship SST for satellite SST validation. 18th Science Team Meeting, Qingdao, China, Group for High Resolution Sea Surface Temperature, 127–134, https://www.ghrsst.org/meetings/18th-international-ghrsst-science-team-meeting-ghrsst-xviii.

5. A theory for local evaporation (or heat transfer) from rough and smooth surfaces at ground level;Brutsaert;Water Resour. Res.,1975

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