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Leauthaud C., Cappelaere Bernard, Demarty Jérome, Guichard F., Velluet Cecile, Kergoat L., Vischel T., Grippa M., Mouhaimouni M., Bouzou Moussa I., Mainassara I., Sultan Benjamin. (2017). A 60-year reconstructed high-resolution local meteorological data set in Central Sahel (1950-2009) : evaluation, analysis and application to land surface modelling. International Journal of Climatology, 37 (5), 2699-2718. ISSN 0899-8418

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Lien direct chez l'éditeur doi:10.1002/joc.4874

Titre
A 60-year reconstructed high-resolution local meteorological data set in Central Sahel (1950-2009) : evaluation, analysis and application to land surface modelling
Année de publication2017
Type de documentArticle référencé dans le Web of Science WOS:000398859700037
AuteursLeauthaud C., Cappelaere Bernard, Demarty Jérome, Guichard F., Velluet Cecile, Kergoat L., Vischel T., Grippa M., Mouhaimouni M., Bouzou Moussa I., Mainassara I., Sultan Benjamin.
SourceInternational Journal of Climatology, 2017, 37 (5), p. 2699-2718. ISSN 0899-8418
RésuméThe Sahel has experienced strong climate variability in the past decades. Understanding its implications for natural and cultivated ecosystems is pivotal in a context of high population growth and mainly agriculture-based livelihoods. However, 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. This study presents the generation of a long-term, high-temporal resolution, multivariate local climatic data set for Niamey, Central Sahel. The 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. The 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. Uncertainty in reconstructed data was expressed by means of a stochastic ensemble of plausible historical time series. Climatological statistics were computed at sub-daily to decadal timescales and compared with local, regional and global data sets such as CRU and ERA-Interim. The 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. The new data set, denoted NAD (Niamey Airport-derived set) and publicly available, can be used to investigate the water and energy cycles in Central Sahel, while the methodology can be applied to reconstruct series at other stations.
Plan de classementHydrologie [062] ; Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Bioclimatologie [072]
Descr. géo.NIGER ; NIAMEY ; WANKAMA ; BANIZOUMBOU ; SAHEL
LocalisationFonds IRD [F B010070216]
Identifiant IRDfdi:010070216
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010070216

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