Historic reconstructions of daily groundwater levels for eight boreholes in Burkina Faso (NERC Grant NE/M008827/1)

This dataset consists of reconstructions of daily groundwater levels for eight boreholes in Burkina Faso. Data for each borehole is provided in an individual csv file, with reconstructed groundwater level time series reported in metres above sea level (GWL, mASL). The groundwater level reconstructions were derived in 2019 as a part of the BRAVE project (NE/M008827/1 and NE/M008983/1) to develop an improved understanding of temporal variability in groundwater levels in sub-Saharan Africa. The reconstructions were derived using the lumped conceptual groundwater model AquiMod. Observed groundwater level time series for the eight boreholes were modelled using AquiMod, and the calibrated models were used with historic precipitation and potential evapotranspiration data to derive the reconstructions. The length of the time series of reconstructed groundwater levels varies between the boreholes due to differences in the length of the precipitation time series used to derive the reconstructions. Full details of this dataset are reported by Ascott et al. (2020). Ascott, M.J., Macdonald, D.M.J., Black, E., Verhoef, A., Nakohoun, P., Tirogo, J., Sandwidi, W.J.P., Bliefernicht, J., Sorensen, J.P.R., Bossa, A.Y., 2020. In Situ Observations and Lumped Parameter Model Reconstructions Reveal Intra-Annual to Multidecadal Variability in Groundwater Levels in Sub-Saharan Africa. Water Resour. Res., 56(12): e2020WR028056. DOI:https://doi.org/10.1029/2020WR028056
 
Citation proposal
. Historic reconstructions of daily groundwater levels for eight boreholes in Burkina Faso (NERC Grant NE/M008827/1). https://metadata.bgs.ac.uk/geonetwork/srv/api/records/cf66e46f-6738-26fb-e054-002128a47908

Simple

Date ( Creation )
2021-10-12
Identifier
http://data.bgs.ac.uk/id/dataHolding/13607829

  Distributor

  01491 692345 

  Originator

  01491 692345 

  Principal investigator

  01491 692345 

  Distributor

  Point of contact

Maintenance and update frequency
notApplicable notApplicable
GEMET - INSPIRE themes
  • Geology
BGS Thesaurus of Geosciences
  • Aquifers , Climatology , Simulation , Groundwater
Keywords
  • NERC_DDC
Access constraints
otherRestrictions Other restrictions
Use constraints
otherRestrictions Other restrictions
Other constraints
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Other constraints
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Spatial representation type
vector Vector
Metadata language
English English
Topic category
  • Geoscientific information
Geographic identifier
BF

 

Date ( Revision )
2009

Geographic identifier
BFA

 

Date ( Revision )
2009

Geographic identifier
BURKINA FASO [id=626000]

 

Date ( Creation )
1979

N
S
E
W


Reference System Information

No information provided.
Distribution format
  • .csv ()

  Distributor

  01491 692345 

  Distributor

OnLine resource
Data  
OnLine resource
Digital Object Identifier (DOI)  
Hierarchy level
dataset Dataset
Other
dataset

Conformance result

Date ( Publication )
2011
Explanation
See the referenced specification
Pass
false

Conformance result

Date ( Publication )
2010-12-08
Explanation
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
Pass
false
Statement
Observed groundwater level time series for each of the boreholes were modelled using the lumped conceptual model AquiMod. The models were calibrated using Monte Carlo sampling, which resulted in a series of parameter sets which produced behavioural models. The top ten behavioural models were then used for groundwater level reconstruction by applying historic rainfall and potential evapotranspiration data as inputs. The results of the best fit behavioural model are presented here. For full details of the methodology please see Ascott et al. (2020).

gmd:MD_Metadata

File identifier
cf66e46f-6738-26fb-e054-002128a47908   XML
Metadata language
English English
Hierarchy level
dataset Dataset
Date stamp
2021-12-03
Metadata standard version
2.3

  Point of contact

Dataset URI
http://data.bgs.ac.uk/id/dataHolding/13607829
 
 

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