Estimating Evaporative Fraction from Cloud Remote Sensing Observation
The advantage of the method is that it provides a more direct estimate of the surface evaporative fraction than indirect estimation based on inversion of a highly parameterized land surface model. In addition, the evaporative fraction is obtained at a scale of a few kilometers, which is more pertinent for weather and climate studies.
The retrieval strategy is tested and validated over three datasets with contrasting climates: the Southern Great Plain (SGP) Atmospheric Radiation Measurement (ARM) facility in the continental United States, the African Monsoon Multidisciplinary Analysis (AMMA) dataset in Niamey, Niger, and the Cabuaw dataset in the Netherlands. We suggest that the use of satellite observations of shallow cumuli can help constrain the retrieval of the surface evaporative fraction within a data assimilation scheme/reanalysis.