Estimating Evaporative Fraction from Cloud Remote Sensing Observation

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Thursday, 6 February 2014
Hall C3 (The Georgia World Congress Center )
Pierre Gentine, Columbia University, New York, NY; and A. A. M. Holtslag and C. R. Ferguson

The potential use of continental fair-weather shallow cumuli as a way to retrieve the daily surface evaporative fraction over land is evaluated in convective conditions. The proposed method utilizes the fact that both the timing of cloud occurrence and the cloud base height at the time of occurrence provide strong constraints on the surface energy balance and evaporative fraction. The retrieval is especially reliable in the presence of relatively stable and humid free troposphere profiles.

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.