Skip to main content
zenodoembargoed

Data to Support 'Persistent cloud cover over mega-cities linked to surface heat release'

<p>&quot;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>&quot;high&quot; - forest/high vegetation&nbsp;</li> <li>&quot;low&quot; - low vegetation</li> <li>&quot;urban&quot; - urban areas&nbsp;</li> <li>&quot;water&quot; - 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>&quot;high&quot; - forest/high vegetation,</li> <li>&quot;low&quot; - low vegetation,</li> <li>&quot;urban&quot; - urban areas for Paris domain.</li> </ul> </li> </ul> <p>&quot;london_CBH.csv&quot; -</p> <ul> <li>Cloud base heights (&quot;CBH_L&quot;) [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 &quot;clear_L, cloudy_L&quot;</li> </ul> <p>&quot;chilbolton_CBH.csv&quot; -</p> <ul> <li>Cloud base heights (&quot;CBH_C&quot;) [m] from CL75K ceilometer at Chilbolton site and logical array whether it is clear or clouds are observed in the 15-min period &quot;clear_C, cloudy_C&quot;</li> </ul> <p>raw data: doi:10.5285/1aa2df5a-798b-46c7-b74a-421f9ca0aa82</p> <p>&quot;london_met.csv&quot; -</p> <ul> <li>Data from meteorological measurements at London (Kings College London site): <ul> <li>&quot;DIP_L&quot; - dew point depression (air temperature - dew point temperature) [K],&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li> <li>&quot;RR_L&quot; - precipitation [mm],</li> <li>&quot;T_L&quot; - absolute air temperature [K],</li> <li>&quot;Td_L&quot; - dew point temperature [K].</li> </ul> </li> </ul> <p>&quot;chilbolton_met.csv&quot; -</p> <ul> <li>Data from meteorological measurements at Chilbolton: <ul> <li>&quot;DIP_C&quot; - dew point depression (air temperature - dew point temperature) [K],</li> <li>&quot;T_C&quot; - absolute air temperature [K],</li> <li>&quot;Td_C&quot; - dew point temperature [K].</li> </ul> </li> </ul> <p>&quot;london_fluxes.csv&quot;</p> <ul> <li>- Kinematic sensible (&quot;wth_L&quot; [K m s-1]) and latent heat (&quot;wq_L&quot; [kg kg-1 m s-1]) fluxes at London (Kings College London site).</li> </ul> <p>&quot;chilbolton_fluxes.csv&quot;</p> <ul> <li>- Kinematic sensible (&quot;wth_C&quot; [K m s-1]) and latent heat (&quot;wq_C&quot; [kg kg-1 m s-1]) fluxes at Chilbolton.</li> </ul> <p><br> &quot;2011_chil_lidarwstats.nc&quot;</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

Topics