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Sensitivity analysis of the meteorological pre-processor MPP-FMI 3.0 using algorithmic differentiation
2017
Geoscientific Model Development Discussions
The meteorological input parameters for urban and local scale dispersion models can be evaluated by pre-processing meteorological observations, using a boundary-layer parametrization model. This study presents a sensitivity analysis of a meteorological pre-processor model (MPP-FMI) that utilises readily available meteorological data as input. The sensitivity of the pre-processor to meteorological input was analysed using algorithmic differentiation (AD). The AD tool used was TAPENADE. The AD
doi:10.5194/gmd-2016-308
fatcat:j3wowo3favey3jfcgt6kfjzrli