The Atmosphere-Land Exchange Inverse Model

The Atmosphere-Land Exchange Inverse (ALEXI) model (Anderson et al., 1997; Mecikalski et al., 1999) was developed as an auxiliary means for estimating surface fluxes over large regions using primarily remote-sensing data. This flux model is unique in that no information regarding antecedent precipitation or moisture storage capacity is required - the surface moisture status is deduced from a radiometric temperature change signal. Therefore, ALEXI can provide independent information for updating soil moisture variables in more complex regional models.

The following is a tutorial describing the structure of the ALEXI model, the input data required, and the potential utility of ALEXI in climatological analyses, mesoscale forecasting, and other hydrologic applications.

ALEXI TUTORIAL

1. Structure of the ALEXI model
2. Partitioning the energy budget
3. Inputs to the ALEXI model
4. Outputs from the ALEXI model
5. Cloudy-day interpolation algorithm
6. ALEXI as an agent for soil moisture assimilation
7. The ALEX suite of landsurface models

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