MoTUS data for 2018

<p>This dataset is collected from the <a href="http://motus.epfl.ch">Measurement of Turbulence in an Urban Setup</a> (MoTUS) project for the month of November and December 2018. Daily files for each of the instruments are zipped with 7z.</p> <p>Each zip file contains 13 files from the each instrument and is named ddmmyyXXX.txt, where ddmmyy is the date and XXX is either anem#_20Hz for the anemometers, radiometre for the net radiometer, meteo for the meteorological station and mat, North, South, East and West for the surface temperature sensors).</p> <p>For all of the <strong>anemometers</strong> - GILL Wind Master - <strong> </strong>(except for anemometer 12 and 14), the file is structured as:</p> <p>Column 1: Node</p> <p>Column 2: Wind direction (&deg;)</p> <p>Column 3: Horizontal wind speed (ms-1)</p> <p>Column 4: Vertical wind speed (ms-1)</p> <p>Column 5: Unit standards</p> <p>Column 6: Sonic speed (ms-1)</p> <p>Column 7:&nbsp;Sonic temperature (K)</p> <p>Column 8:&nbsp;Time stamp</p> <p>Column 9:&nbsp;Communication port</p> <p>For <strong>anemometer 12 and 14</strong> - GILL Wind Master RA - <strong>,</strong> the file is structured as:</p> <p>Column 1: Node</p> <p>Column 2: Horizontal wind speed in the x-direction (ms-1)</p> <p>Column 3:&nbsp;Horizontal wind speed in the y-direction (ms-1)</p> <p>Column 4:&nbsp;Vertical wind speed (ms-1)</p> <p>Column 5:&nbsp;Unit standards</p> <p>Column 6:&nbsp;Sonic speed (ms-1)</p> <p>Column 7:&nbsp;Sonic temperature (K)</p> <p>Column 8:&nbsp;Time stamp</p> <p>Column 9:&nbsp;Communication port</p> <p>The data from the <strong>meteorological station</strong> is structured as:</p> <p>Column 1: Node</p> <p>Column 2: Pressure (hPa)</p> <p>Column 3: Relative humidity (%)</p> <p>Column 4: Air temperature(&deg;C)</p> <p>Column 5: Dew point temperature (&deg;C)</p> <p>Column 6: Station time</p> <p>Column 7: Supply voltage</p> <p>Column 8: Status</p> <p>Column 9: Checksum</p> <p>Column 10: Time stamp</p> <p>The data from the <strong>net radiometer </strong>- Kipp &amp; Zonen CNR4 -<strong> </strong>is structured as:</p> <p>Column 1: Pyranometer Upper Irradiance [W/m^2]</p> <p>Column 2: Pyranometer Lower Irradiance [W/m^2]</p> <p>Column 3: Pyrgeometer Upper Irradiance [W/m^2]</p> <p>Column 4: Pyrgeometer Lower Irradiance [W/m^2]</p> <p>Column 5: Albedo computed [-] (Between [0;1] - Snow : 0.9 ; Grassland : 0.3.)</p> <p>Column 6: Net Solar radiation [W/m^2](Solar radiation that is absorbed by the earth surface. Always positive. 0 at night.) ntr=[] #Net (total) radiation [W/m^2]</p> <p>Column 7: Net Far Infrared radiation [W/m^2] (o Often negative. Roughly independent of ambient temperature.)</p> <p>Column 8: Sky temperature [&deg;C](Clear conditions : sky temperature lower than ambient temperature &amp; cloudy conditions : sky temperature is equal to ambient temperature.)</p> <p>Column 9: Ground temperature [&deg;C] (Assumed to be roughly equal to ambiant temperature. May be lower than ambient temperature during the night and higher during the day.)</p> <p>Column 10: Ground temperature [&deg;C]&nbsp;</p> <p>Column 11: Radiometer temperature [&deg;C]</p> <p>Column 12: Timestamp</p> <p>The data from the <strong>surface temperatures&nbsp; </strong>- Optris - is structured as:</p> <p>Column 1: Surface temperature</p> <p>Column 2: Albedo (assigned)</p> <p>Column 3: Time stamp</p> <p>&nbsp;</p> <p>Additional information on the measurement setup can be found in the following publication:</p> <p>Mauree, D., Deschamps, L., Becquelin, P., Loesch, P., and Scartezzini, J.-L. (2017). Measurement of the impact of buildings on meteorological variables. <em>Building Simulation Applications, BSA 2017</em>, 273&ndash;278.</p> <p>Mauree, Dasaraden, Daniel Sang-Hoon Lee, Emanuele Naboni, Silvia Coccolo, and Jean-Louis Scartezzini. &quot;Localized meteorological variables influence at the early design stage.&quot; <em>Energy Procedia</em> 122 (2017): 325-330.</p>