AS DETAILED IN THE ATTACHED ORIGINAL PROPOSAL THIS PROJECT WILL (1) GENERATE SYNTHETIC SPECTRAL CLIMATE DATA IN THE SHORTWAVE AND THERMAL IR SPECTRA BY INTEGRATING THE GEOS-CHEM MODEL WITH THE UNIFIED LINEARIZED VECTOR RADIATIVE TRANSFER MODEL (UNL-VRTM). (2) COMPARE AND ANALYZE DUST EMISSION INFORMATION CONTENT WITHIN SYNTHETIC DATA AND DATA FROM GOME SCIAMACHY AIRS AND IASI. (3) USE DECADAL DATA FROM GOME SCIAMACHY AIRS AND IASI TO RECOVER DUST EMISSIONS THROUGH ADJOINT-BASED INVERSE MODELING. (4) PERFORM SENSITIVITY AND CASE STUDIES ON KEY QUESTIONS (SUCH AS RETRIEVE-THEN-AVERAGE VERSUS AVERAGE-THEN-RETRIEVE AND EFFECTS OF RETRIEVAL BIAS AND DUST RADIATIVE FEEDBACKS) IN THE APPLICATION OF SPECTRAL CLIMATE SIGNALS FOR RECOVERING DUST EMISSIONS.
$363,192FY2017National Aeronautics and Space AdministrationNASA
The University Of Iowa