@article{fdi:010070216,
  title = {{A} 60-year reconstructed high-resolution local meteorological data set in {C}entral {S}ahel (1950-2009) : evaluation, analysis and application to land surface modelling},
  author = {{L}eauthaud, {C}. and {C}appelaere, {B}ernard and {D}emarty, {J}{\'e}rome and {G}uichard, {F}. and {V}elluet, {C}ecile and {K}ergoat, {L}. and {V}ischel, {T}. and {G}rippa, {M}. and {M}ouhaimouni, {M}. and {B}ouzou {M}oussa, {I}. and {M}ainassara, {I}. and {S}ultan, {B}enjamin},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}ahel has experienced strong climate variability in the past decades. {U}nderstanding its implications for natural and cultivated ecosystems is pivotal in a context of high population growth and mainly agriculture-based livelihoods. {H}owever, efforts to model processes at the land-atmosphere interface are hindered, particularly when the multi-decadal timescale is targeted, as climatic data are scarce, largely incomplete and often unreliable. {T}his study presents the generation of a long-term, high-temporal resolution, multivariate local climatic data set for {N}iamey, {C}entral {S}ahel. {T}he continuous series spans the period 1950-2009 at a 30-min timescale and includes ground station-based meteorological variables (precipitation, air temperature, relative and specific humidity, air pressure, wind speed, downwelling long- and short-wave radiation) as well as process-modelled surface fluxes (upwelling long- and short-wave radiation, latent, sensible and soil heat fluxes and surface temperature). {A} combination of complementary techniques (linear/spline regressions, a multivariate analogue method, artificial neural networks and recursive gap filling) was used to reconstruct missing meteorological data. {T}he complete surface energy budget was then obtained for two dominant land cover types, fallow bush and millet, by applying the meteorological forcing data set to a finely field-calibrated land surface model. {U}ncertainty in reconstructed data was expressed by means of a stochastic ensemble of plausible historical time series. {C}limatological statistics were computed at sub-daily to decadal timescales and compared with local, regional and global data sets such as {CRU} and {ERA}-{I}nterim. {T}he reconstructed precipitation statistics, approximate to 1 degrees {C} increase in mean annual temperature from 1950 to 2009, and mean diurnal and annual cycles for all variables were in good agreement with previous studies. {T}he new data set, denoted {NAD} ({N}iamey {A}irport-derived set) and publicly available, can be used to investigate the water and energy cycles in {C}entral {S}ahel, while the methodology can be applied to reconstruct series at other stations.},
  keywords = {{N}iamey airport station ; {ERA}-40 ; {ERA}-{I}nterim ; {CRU} ; fallow savannah ; millet ; gap filling ; synoptic data ; {NIGER} ; {NIAMEY} ; {WANKAMA} ; {BANIZOUMBOU} ; {SAHEL}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {C}limatology},
  volume = {37},
  numero = {5},
  pages = {2699--2718},
  ISSN = {0899-8418},
  year = {2017},
  DOI = {10.1002/joc.4874},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070216},
}