Data to Support 'Persistent cloud cover over mega-cities linked to surface heat release'
<p>"Persistent cloud cover over mega-cities linked to surface heat release<br> by Theeuwes et al., 2019 NPJ Climate and atmospheric science</p> <p>HRV_london_landuse.txt</p> <ul> <li>HRV processed time series of cloud fractions [-] over each land use type (pixels have to be 100% of one land use class) <ul> <li>"high" - forest/high vegetation </li> <li>"low" - low vegetation</li> <li>"urban" - urban areas </li> <li>"water" - water bodies for London domain.</li> </ul> </li> </ul> <p>HRV_paris_landuse.txt -</p> <ul> <li>HRV processed time series of cloud fractions over each land use type (pixels have to be 100% of one land use class) <ul> <li>"high" - forest/high vegetation,</li> <li>"low" - low vegetation,</li> <li>"urban" - urban areas for Paris domain.</li> </ul> </li> </ul> <p>"london_CBH.csv" -</p> <ul> <li>Cloud base heights ("CBH_L") [m] from CL31 ceilometer at London site (Marylebone road) and logical array whether it is clear or clouds are observed in the 15-min period "clear_L, cloudy_L"</li> </ul> <p>"chilbolton_CBH.csv" -</p> <ul> <li>Cloud base heights ("CBH_C") [m] from CL75K ceilometer at Chilbolton site and logical array whether it is clear or clouds are observed in the 15-min period "clear_C, cloudy_C"</li> </ul> <p>raw data: doi:10.5285/1aa2df5a-798b-46c7-b74a-421f9ca0aa82</p> <p>"london_met.csv" -</p> <ul> <li>Data from meteorological measurements at London (Kings College London site): <ul> <li>"DIP_L" - dew point depression (air temperature - dew point temperature) [K], </li> <li>"RR_L" - precipitation [mm],</li> <li>"T_L" - absolute air temperature [K],</li> <li>"Td_L" - dew point temperature [K].</li> </ul> </li> </ul> <p>"chilbolton_met.csv" -</p> <ul> <li>Data from meteorological measurements at Chilbolton: <ul> <li>"DIP_C" - dew point depression (air temperature - dew point temperature) [K],</li> <li>"T_C" - absolute air temperature [K],</li> <li>"Td_C" - dew point temperature [K].</li> </ul> </li> </ul> <p>"london_fluxes.csv"</p> <ul> <li>- Kinematic sensible ("wth_L" [K m s-1]) and latent heat ("wq_L" [kg kg-1 m s-1]) fluxes at London (Kings College London site).</li> </ul> <p>"chilbolton_fluxes.csv"</p> <ul> <li>- Kinematic sensible ("wth_C" [K m s-1]) and latent heat ("wq_C" [kg kg-1 m s-1]) fluxes at Chilbolton.</li> </ul> <p><br> "2011_chil_lidarwstats.nc"</p> <ul> <li>- Hourly statistics of the LiDAR stare data for Chilbolton site. Vertical velocity variance corrected.</li> </ul> <p>Note: all Chilbolton raw data: http://catalogue.ceda.ac.uk/uuid/7cbc3fc19bfa037a48ba4cba4b93544d</p>
ShareScore
16/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0