Derived Optimal Linear Combination Evapotranspiration
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https://researchdata.edu.au/derived-optimal-linear-combination-evapotranspiration/815690
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资源简介：
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.
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.
The six evapotranspiration products are: GLEAM V2A, GLEAM V2B, GLEAM V3A, MOD16, MPIBGC and PML .
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.
提供机构：
ARC Centre of Excellence for Climate System Science
