Derived Optimal Linear Combination Evapotranspiration (DOLCE)

<p>The Derived Optimal Linear Combination Evapotranspiration (DOLCE) dataset consists of monthly Evapotranspiration (ET) and their associated uncertainty on a global scale. DOLCE is derived at 0.5 spatial resolution and monthly temporal resolution over the period 2000-2009.</p> <p>DOLCE is derived by weighting six existent global ET products based on their ability to match site-level data from 159 globally distributed flux tower sites.</p> <p>The six evapotranspiration products are: GLEAM V2A, GLEAM V2B, GLEAM V3A, MOD16, MPIBGC and PML .</p> <p>DOLCE is a mosaic of three tiers, we derive each tier from a different weighting ensemble and subset of FLUXNET data. The dominant part (i.e. tier1) involves six ET products and data from 138 flux towers, tier2 involves 5 products and 151 flux towers, while tier3 involved 2 products and 159 sites.</p> <p>This dataset was produced by Dr Sanaa Hobeichi as part of her PhD thesis and of the Centre of Excellence for Climate System Science &quot;The role of land surface forcing and feedbacks for regional climate&quot; research program.</p>