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Satellites Model Validation Parameterizations Parameterizations Climate Sensitivity Climate Sensitivity Underlying mechanisms Underlying mechanisms CURRENT.

Published byClara Wilkins Modified over 8 years ago

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Presentation on theme: "Satellites Model Validation Parameterizations Parameterizations Climate Sensitivity Climate Sensitivity Underlying mechanisms Underlying mechanisms CURRENT."— Presentation transcript:

1 Satellites Model Validation Parameterizations Parameterizations Climate Sensitivity Climate Sensitivity Underlying mechanisms Underlying mechanisms CURRENT STATE Initial Conditions Initial Conditions Assimilation Assimilation Remote-sensing Analysis Retrieval Validation Retrieval Validation Assumption Refinement Assumption Refinement frequent, global snapshots; aerosol amount & aerosol type maps, plume & layer heights space-time interpolation, DARF & AnthropogenicComponent calculation and prediction Suborbital targeted chemical & microphysical detail point-location time series Regional Context Kahn, Survy. Geophys. 2012 Aerosol-typePredictions

2 Three Stories: Aerosol Air-Mass-Type Validation Upwind Smoke Source & Injection Height Regional Aerosol Characterization

3 Story 1 Story 1: Aerosol Air-Mass-Type Validation Terra 17:40 UTC Extreme Upwind ~18:00 ER-2: Rosette DC-8: 5-Wall Downwind~22:00 ER-2: Bow Tie DC-8: 3-Wall Cart Site Cart Site AERONET 1 2 3 TransitHome 4 Satellite Model Comparing the retrieved and modeled AOD, size, shape, and SSA with in situ measurements (a)qualitatively and (b) quantitatively for five regions [3 Smoke Plumes; Continental Background; Continental-Smoke Mix]

4 Story 2 Story 2: Upwind Smoke Source & Injection Height In situ Satellite Using the 3-D AOD distribution from satellite and in situ measurements to constrain the model, which in turn identifies probable source locations and injection heights (also aerosol type)

5 Story 3 Story 3: Regional Aerosol Characterization Smoke- Continental Mix Continental Smoke Plumes Plumes AOD Site 2 Site 3 Using the in situ measurements to add microphysical detail to the satellite aerosol type mapping, and then use the satellite 2-D AOD and type distributions, plus available 3-D data, to constrain larger- scale model aerosol amount and type mapping

6 Measurement Inventory Aerosol Air Masses Plume 1 Plume 2 Plume 3 Continental Background Continental-Smoke Mix Particle Properties AOD ANG Particle Size Sphericity SSA Composition Supporting Information 3-D Location Areal Extent Acquisition Time Measurement Uncertainty Other Constraints Gases Meteorological Conditions

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