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Infilled Half-Hourly Meteorological Time Series for Climate Stations and Eddy Covariance Stations in Northern Ghana and Southern Burkina Faso - December 2012 to January 2014 - Version 1

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Description: 

The meteorological dataset consists of infilled half-hourly meteorological measurements for seven climate stations and three eddy covariance stations. The stations belong to the hydro-meteorological network established for the Vea and Sissili watershed in Southern Burkina Faso and Northern Ghana. The dataset contains seven meteorological variables: the mean incoming shortwave radiation [W/m2], the mean incoming longwave radiation [W/m2], the mean air temperature [°C], the mean horizontal wind speed [m/s], the mean sea level pressure [hPa], the mean specific humidity [g/kg] and the total precipitation amount [mm]. The data set is available from 1st of October 2012 to 31st of December 2013. The infilling of measurements was done using a spatiotemporal infilling algorithm based on an inverse distance approach. Other meteorological information such as heat fluxes can be also provided by request. Further information about the data sets and the meteorological network will be given in a future publication which was recently submitted to a special issue on “Hydrological Observatories” of the Vadose Zone Journal.

Data and Resources

Tags: 
FieldValue
Modified
2024-03-05
Release Date
2019-09-09
Identifier
4f084f3d-d389-497d-9a2c-758409430248
Covered Regions/Countries
Temporal Coverage
Wednesday, October 1, 2014 (All day)
Language
English
Contact Name
Jan Bliefernicht
Contact Email
Data Rights and Credits
Data Rights
Author
Jan Bliefernicht
Public Access Level
Restricted
Rights
Formal permission to do something
License
Data Citation
Citation: Bliefernicht, J., Straub, A. and Kunstmann, H. (2018): Infilled Half-Hourly Meteorological Time Series for Climate Stations and Eddy Covariance Stations in Northern Ghana and Southern Burkina Faso - December 2012 to January 2014 - Version ; https://wascal-dataportal.org/geonetwork/?uuid=340c37ba -bf77-4b82-b481-c0bdbbf8ec42
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