DACCIWA field campaign, Savè super-site, Surface measurements

How to cite ?

Kohler, M. et al. (2016) “DACCIWA field campaign, Savè super-site, Surface measurements.” SEDOO OMP. doi: 10.6096/dacciwa.1690.

Data access

Dataset description

The ground-based field campaign DACCIWA took place during June and July 2016. The field campaign was conducted to address the scientific objectives of WP1: Identifying the meteorological controls on the whole process chain from the formation of nocturnal stratus clouds, via the daytime transition to convective clouds and the formation of deep precipitating clouds. During the measurement period, extensive remote sensing and in-situ measurements were performed at three supersites in Kumasi (Ghana), Savè (Benin) and Ile-Ife (Nigeria). The gathered observations included the energy-balance components at the Earth’s surface, the mean and turbulent conditions in the nocturnal and daytime ABL as well as the de- and entrainment processes between the ABL and the free troposphere. The meteorological measurements were supplemented by aerosol and air chemical observations.

The site at Savè was operated jointly by KIT (Karlsruhe Institute of Technology) and UPS (Université Toulouse III - Paul Sabatier, Laboratoire d’Aérologie). All ground-based instruments and the RPAS Ovlita were deployed at the measurement site at Savè at the site of INRAB (Institut National de Recherche Agronomique du Benin). The RPAS Aladina was operated at the Savè airfield about 4 km away from the INRAB site.

The present DOI gathers the near-surface measurements operated and processed by Karlsruhe Institute of Technology (KIT) in Savè (Benin) for the DACCIWA experiment from 13 June to 30 July 2016.

Strategy:

Instrument, data set and strategy are indicated below (Note that each instrument has its own metadata file for further details).

The instruments were operated at the Savè site, an agricultural research area of INRAB at 8.000928° N, 2.427925° E, 166 m asl. The instruments were installed in an open field with scrubs. The canopy height was 0.8 m.

MetData_1min:Standard meteorological variables such as air temperature, relative humidity, wind speed, wind direction, air pressure, surface temperature, soil heat flux and rainfall. The data was sampled with 1 Hz and aggregated to 1 min averages.

Radiation:Upward and downward shortwave (SW) and longwave (LW) radiative components as well as net radiation. The data was sampled with 1 Hz and aggregated to 1 min averages.

MetData:Standard meteorological variables such as air temperature, relative humidity, wind speed, wind direction, surface temperature, soil temperature, soil moisture and soil heat flux, rainfall as well as radiative components (upward and downward LW and SW). The data was sampled with 1 Hz and aggregated to 10 min averages or directly sampled with 10 min (soil moisture and soil temperature).

Energy Balance:The dataset includes the components of the energy balance provided as 30 min averages. Data includes net radiation, soil heat flux, air density and turbulence parameters (variances, friction velocity, and Obukhov length) as well as sensible and latent heat flux. The turbulent fluxes and the turbulence parameters have been calculated from 20 Hz data with the software TK311 (Mauder et al. 2013).


Use constraints

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

In case the data are used in research and publications we would appreciate when the following statement is added: "The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007-2013) under grant agreement n° 603502."
We would welcome data users to offer co-authorship to the data producers in case that the data make a substantial contribution to a publication. Please contact the main data PI to discuss this.