<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Evapotranspiration estimation in the Sahel using a new ensemble-contextual method</dc:title>
  <dc:creator>Allies, A.</dc:creator>
  <dc:creator>/Demarty, J&#xE9;rome</dc:creator>
  <dc:creator>Olioso, A.</dc:creator>
  <dc:creator>Moussa, I. B.</dc:creator>
  <dc:creator>Issoufou, H. B. A.</dc:creator>
  <dc:creator>/Velluet, Cecile</dc:creator>
  <dc:creator>Bahir, M.</dc:creator>
  <dc:creator>Mainassara, I.</dc:creator>
  <dc:creator>/Oi, Monique</dc:creator>
  <dc:creator>/Chazarin, Jean-Philippe</dc:creator>
  <dc:creator>/Cappelaere, Bernard</dc:creator>
  <dc:subject>evapotranspiration mapping</dc:subject>
  <dc:subject>contextual approach</dc:subject>
  <dc:subject>Sahel</dc:subject>
  <dc:subject>MODIS</dc:subject>
  <dc:subject>southwest Niger</dc:subject>
  <dc:description>In many tropical areas, evapotranspiration is the most important but least known component of the water cycle. An innovative method, named E3S (for EVASPA S-SEBI Sahel), was developed to provide spatially-distributed estimates of daily actual evapotranspiration (ETd) from remote sensing data in the Sahel. This new method combines the strengths of a contextual approach that is used to estimate the evaporative fraction (EF) from surface temperature vs. albedo scatterograms and of an ensemble approach that derives ETd estimates from a weighted average of evapotranspiration estimated from several EF methods. In this work, the two combined approaches were derived from the simplified surface energy balance index (S-SEBI) model and the EVapotranspiration Assessment from SPAce (EVASPA) tool. Main innovative aspects concern (i) ensemble predictions of ETd through the implementation of a dynamic weighting scheme of several evapotranspiration estimations, (ii) epistemic uncertainty of the estimation of ETd from the analysis of the variability of evapotranspiration estimates, and (iii) a new cloud filtering method that significantly improves the detection of cloud edges that negatively affect EF determination. E3S was applied to MODIS/TERRA and AQUA datasets acquired during the 2005-2008 period over the mesoscale AMMA-CATCH (Analyse Multidisciplinaire de la Mousson Africaine-Couplage de l'Atmosphere Tropicale et du Cycle Hydrologique) observatory in South-West Niger. E3S estimates of instantaneous and daily available energy, evaporative fraction, and evapotranspiration were evaluated at a local scale based on two field-monitored plots representing the two main ecosystem types in the area-a millet crop and a fallow savannah bush. In addition to these ground-based observations, the local scale evaluation was performed against continuous simulations by a locally-calibrated soil-vegetation-atmosphere transfer model for the two plots. The RMSE (root mean square error) from this comparison for E3S's ETd estimates from combined AQUA/TERRA sources was 0.5 mmday(-1), and the determination coefficient was 0.90. E3S significantly improved representation of the evapotranspiration seasonality, compared with a classical implementation of S-SEBI or with the original EVASPA's non-weighted ensemble scheme. At the mesoscale, ETd estimates were obtained with an average epistemic uncertainty of 0.4 mmday(-1). Comparisons with the reference 0.25 degrees-resolution GLEAM (global land evaporation Amsterdam model) product showed good agreement. These results suggested that E3S could be used to produce reliable continuous regional estimations at a kilometric resolution, consistent with land and water management requirements in the Sahel. Moreover, all these innovations could be easily transposed to other contextual approaches.</dc:description>
  <dc:date>2020</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010077972</dc:identifier>
  <dc:identifier>fdi:010077972</dc:identifier>
  <dc:identifier>Allies A., Demarty J&#xE9;rome, Olioso A., Moussa I. B., Issoufou H. B. A., Velluet Cecile, Bahir M., Mainassara I., Oi Monique, Chazarin Jean-Philippe, Cappelaere Bernard. Evapotranspiration estimation in the Sahel using a new ensemble-contextual method. 2020, 12 (3), art. 380 [34 ]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>NIGER</dc:coverage>
  <dc:coverage>ZONE SAHELIENNE</dc:coverage>
</oai_dc:dc>
