TY - JOUR
T1 - Air-sea interactions among oceanic low-level cloud, sea surface temperature, and atmospheric circulation on an intraseasonal time scale in the summertime north pacific based on satellite data analysis
AU - Takahashi, Naoya
AU - Hayasaka, Tadahiro
N1 - Funding Information:
Acknowledgments. This work was supported by a Grant-in-Aid from the Japan Society for the Promotion of Science (JSPS), Research Fellow JP18J10606, and by a Grant-in-Aid for Scientific Research (B) 16H04046, also from the JSPS. The Aqua/MODIS Cloud Daily L3 Global 1 Deg CMG dataset was acquired from the Level-1 and Atmosphere Archive Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center
Funding Information:
in Greenbelt, Maryland (https://ladsweb.nascom.nasa.gov/). CERES data were obtained from the NASA Langley Research Center CERES ordering tool at http://ceres.larc.nasa.gov/. OISST data were provided by the National Oceanic and Atmospheric Administration (NOAA). The global ocean heat flux and evaporation data were provided by the WHOI OAFlux project (http:// oaflux.whoi.edu/last access: 6 November 2018) funded by the NOAA Climate Observations and Monitoring (COM) program. ERA-Interim data were downloaded from the European Centre for Medium-Range Weather Forecasts (ECMWF) data server at http://apps.ecmwf.int/datasets/. The author would like to thank Tim Li and Bo Qiu of the University of Hawai‘i at Mµnoa and Toshio Suga of Tohoku University for their helpful discussion. Additionally, Joel Norris and Shang-Ping Xie, of the Scripps Institution of Oceanography, provided helpful insight and comments. Last, the authors are grateful for the thoughtful comments of three anonymous reviewers to improve the original manuscripts.
Funding Information:
This work was supported by a Grant-inAid from the Japan Society for the Promotion of Science (JSPS), Research Fellow JP18J10606, and by a Grant-in-Aid for Scientific Research (B) 16H04046, also from the JSPS. The Aqua/MODIS Cloud Daily L3 Global 1 Deg CMG dataset was acquired from the Level-1 and Atmosphere Archive Distribution System (LAADS) Distributed Active Archive Center (DAAC), located in the Goddard Space Flight Center in Greenbelt, Maryland (https://ladsweb.nascom.nasa.gov/). CERES data were obtained from the NASA Langley Research Center CERES ordering tool at http://ceres.larc.nasa.gov/. OISST data were provided by the National Oceanic and Atmospheric Administration (NOAA). The global ocean heat flux and evaporation data were provided by the WHOI OAFlux project (http:// oaflux.whoi.edu/last access: 6 November 2018) funded by the NOAA Climate Observations and Monitoring (COM) program. ERA-Interim data were downloaded from the European Centre for Medium-Range Weather Forecasts (ECMWF) data server at http://apps.ecmwf.int/datasets/. The author would like to thank Tim Li and Bo Qiu of the University of Hawai'i at Manoa and Toshio Suga of Tohoku University for their helpful discussion. Additionally, Joel Norris and Shang-Ping Xie, of the Scripps Institution of Oceanography, provided helpful insight and comments. Last, the authors are grateful for the thoughtful comments of three anonymous reviewers to improve the original manuscripts.
Publisher Copyright:
© 2020 American Meteorological Society.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Low-level cloud plays a key role in modulating air-sea interaction processes and sea surface temperature (SST) variability. The present study investigated the evolution process of oceanic low-level cloud cover (LCC) and related air-sea interaction processes on an intraseasonal time scale in the summertime (June-October) North Pacific (308-408N, 1658-1758E) based on satellite observational and reanalysis datasets from 2003 to 2016. The intraseasonal time scale (20-100 days) is dominant not only for the LCC, but also for LCC controlling factors, that is, SST, estimated inversion strength (EIS), and horizontal temperature advection (Tadv). To reveal the lead-lag relationship among these variables, we conducted phase composite analysis with a bandpass filter based on the intraseasonal variability (ISV) of LCC. It suggests that ISV of LCC leads to that of SST and that horizontal dry-cold advection from the poleward region leads to increasing LCC and decreasing SST. The increasing LCC corresponds to a positive relative humidity (RH) anomaly in the lower troposphere, which is due to adiabatic cooling with shallow convection, vertical moisture advection, and meridional RH advection associated with the anomalous cold Tadv. Heat budget analysis of the ocean mixed layer suggests the importance of anomalous dry-cold advection for cooling SST, not only via enhanced latent heat release but also via decreased downward shortwave radiation at the sea surface according to cloud radiative effect with a positive LCC anomaly. Determining the detailed lead-lag relationship between LCC and its controlling factor is a good approach to understand mechanisms of the local processes of both low-level cloud evolution and air-sea interaction.
AB - Low-level cloud plays a key role in modulating air-sea interaction processes and sea surface temperature (SST) variability. The present study investigated the evolution process of oceanic low-level cloud cover (LCC) and related air-sea interaction processes on an intraseasonal time scale in the summertime (June-October) North Pacific (308-408N, 1658-1758E) based on satellite observational and reanalysis datasets from 2003 to 2016. The intraseasonal time scale (20-100 days) is dominant not only for the LCC, but also for LCC controlling factors, that is, SST, estimated inversion strength (EIS), and horizontal temperature advection (Tadv). To reveal the lead-lag relationship among these variables, we conducted phase composite analysis with a bandpass filter based on the intraseasonal variability (ISV) of LCC. It suggests that ISV of LCC leads to that of SST and that horizontal dry-cold advection from the poleward region leads to increasing LCC and decreasing SST. The increasing LCC corresponds to a positive relative humidity (RH) anomaly in the lower troposphere, which is due to adiabatic cooling with shallow convection, vertical moisture advection, and meridional RH advection associated with the anomalous cold Tadv. Heat budget analysis of the ocean mixed layer suggests the importance of anomalous dry-cold advection for cooling SST, not only via enhanced latent heat release but also via decreased downward shortwave radiation at the sea surface according to cloud radiative effect with a positive LCC anomaly. Determining the detailed lead-lag relationship between LCC and its controlling factor is a good approach to understand mechanisms of the local processes of both low-level cloud evolution and air-sea interaction.
KW - Atmosphere-ocean interaction
KW - Fog
KW - Humidity
KW - Marine boundary layer
KW - Sea surface temperature
KW - Stratiform clouds
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UR - http://www.scopus.com/inward/citedby.url?scp=85092553280&partnerID=8YFLogxK
U2 - 10.1175/JCLI-D-19-0670.1
DO - 10.1175/JCLI-D-19-0670.1
M3 - Article
AN - SCOPUS:85092553280
SN - 0894-8755
VL - 33
SP - 9195
EP - 9212
JO - Journal of Climate
JF - Journal of Climate
IS - 21
ER -