Research Project: Refinement of the MODIS Cloud Optical Product in Synergy with Continued Development of a Full Suite of EOS-SNPP Cloud Continuity Algorithm + Atmosphere Discipline Team Leads
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1. Synopsis: A research proposal entitled “Refinement of the MODIS Cloud Optical Product in Synergy with Continued Development of a Full Suite of EOS-SNPP Cloud Continuity Algorithm + Atmosphere Discipline Team Leads” (Principal Investigator: Dr. Steven Platnick from NASA Goddard Space Flight Center, and several co-investigators from different institutions) has been selected for funding support. Prof. Ping Yang from Texas A&M University (TAMU) is one of the co-investigators of the aforesaid proposal. A subaward 80NSSC18K1516 (Project performance period: 01-Oct-2019 to 30-Sep-2020) has been awarded to TAMU to conduct research in support of the funded project. Our TAMU team is the long-time provider of ice particle scattering calculations and related radiative transfer code for the MODIS science team. With the present proposal, we request supplemental funding support to continue the aforesaid research. In particular, the radiative transfer modeling capabilities developed in the previous effort of grant 80NSSC18K1516 need further improvements and refinements. We believe that the outcomes of the supplemental support will contribute to NASA’s mission, particularly the MODIS Science team.
2. Description of Work: The Texas A&M University team will continue to enhance the fast radiative transfer modeling capabilities developed in the previous two years of grant 80NSSC18K1516. Listed below are the specific research tasks and deliverables during 10/1/2020-9/30/2021.
2.1. Specific Tasks:
• Further improve the gas absorption parameterization model and implement it in the Aqua/Terra MODIS, VIIRS, PARASOL and GOES-16 ABI bands.
• Complete the Jacobian matrix calculation capability of the radiative transfer
equation solver developed via our previous effort.
• Combine the gas absorption parameterization model and the aforesaid radiative solver in a seamless form.
• Design a user-friendly input and output module for the aforementioned combined model, including the documentation of the computational programs
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