Published July 24, 2021 | Version v1
Dataset Open

A case study: evaluation of a single column model with advection to simulate fog/stratus during C-FOG experiment

Authors/Creators

  • 1. Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Physical Oceanography Laboratory, Ocean University of China
  • 2. Fisheries and Oceans Canada, Bedford Inst. Oceanography
  • 3. Department of Physics & Atmospheric Science, Dalhousie University
  • 4. Environment and Climate Change Canada
  • 5. Department of Civil and Environmental Engineering and Earth Sciences, and Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame

Description

Those datasets are observed by  C-FOG (Toward Improving Coastal Fog Prediction) campaign, which was organized as a field experiment combined with modelling and theoretical initiatives. The objective of C-FOG was to advance our understanding and ability to observe, simulate, and predict fog, with a particular focus on warm fog formation, development and dissipation over coastal environments.

The uploaded observation data contains liquid water content, droplet number concentration, temperature, SST, wind, visibility, backscatter collected by ceilometer, and atmospheric profile. The details can be found in the dataset.

Thanks for the intense observation by the C-FOG project, which collected valuable data for detailed fog research.

Files

ceilometer.zip

Files (106.6 MB)

Name Size Download all
md5:aebf05b207ee5b61f96ac241d224ae28
13.4 MB Preview Download
md5:c8cc77c2ec9d2462cf1db6c825ac941e
10.6 MB Preview Download
md5:a20f3b9e97b9bf57ce06d4cd97c29459
70.3 MB Preview Download
md5:0ae9b482b573d42a62c0d95265e369e5
216.3 kB Preview Download
md5:6ec45c530b6448e8133a7e2b70415e88
12.0 MB Download