Weather Station Data from Northern Cameroon (June 2023 - June 2024)

<b>Abstract</b> <p>This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute and daily intervals. These stations were the first three installed as part of the <a href="https://capacity4dev.europa.eu/info/innovacc-cameroun_en">DeSIRA INNOVACC</a> Project.</p> <b>Weather Stations</b> <ul> <li>Type: <a href="https://metergroup.com/products/atmos-41/">METER Group ATMOS41</a></li> <li>Datalogger: <a href="https://metergroup.com/products/zl6/">METER Group ZL6</a></li> <li>Quality Check Network: <a href="https://tahmo.org">Trans-African Hydro-Meteorological Observatory (TAHMO)</a></li> <li>Installation: each station is installed at the top of a 2m mast, enclosed in a fenced area, and positioned in a location free from potential turbulence to ensure measurement accuracy.</li> </ul> <b>Identifiers and Coordinates</b> <ul> <li>Bamé:</li> <ul> <li>ID: z6-22047 / TA00804</li> <li>Coordinates: 9.08626, 13.5786388</li> <li>Elevation: 233m</li> </ul> <li>Djiddé:</li> <ul> <li>ID: z6-22888 / TA00805</li> <li>Coordinates: 9.3578753, 13.6525851</li> <li>Elevation: 207m</li> </ul> <li>Pintchoumba:</li> <ul> <li>ID: z6-22048 / TA00803</li> <li>Coordinates: 8.4886398, 13.453611</li> <li>Elevation: 359m</li> </ul> </ul> <b>Data Organization</b> <p>Each location archive contains three folders:</p> <ul> <li>Raw and Corrected Records: Folder named with the z6-xxxxx identifier, containing raw data and records corrected by the connectivity network ZentraCloud. May include multiple configuration files for different periods.</li> <li>5-minute Aggregated Records: Folder named with the TAHMO code ending in "5min", containing quality-checked data at 5-minute intervals.</li> <li>Daily Aggregated Records: Folder named with the TAHMO code ending in "daily", containing quality-checked data aggregated daily.</li> </ul> <b>Variables</b> <p>All variables measured by ATMOS41 stations : </p> <ul> <li>atmospheric pressure (kPa),</li> <li>precipitation (mm),</li> <li>radiation (W/m2),</li> <li>relative humidity (-),</li> <li>temperature (degrees Celsius),</li> <li>wind direction (degrees),</li> <li>wind gusts (m/s),</li> <li>wind speed (m/s),</li> <li>lightning distance (km),</li> <li>lightning events (-),</li> </li> </ul> <p>Metadata : </p> <ul> <li>humidity sensor temperature (degrees Celsius),</li> <li>logger battery percentage (-),</li> <li>logger reference pressure (kPa),</li> <li>logger temperature (degrees Celsius),</li> <li>tilt x axis (degrees),</li> <li>tilt y axis (degrees)</li> </ul>

Bibliographic Details

Main Authors:	Nenwala, Victor Hugo, Foulna Tcheobe, Carmel, Lavarenne, Jérémy
Other Authors:	Lavarenne, Jeremy
Format:	Dataset biblioteca
Published:	CIRAD Dataverse 2024
Subjects:	Earth and Environmental Sciences, weather data, données météorologiques, meteorological observations, observation météorologique,
Online Access:	https://doi.org/10.18167/DVN1/XZZOVN
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