THIS PROPOSAL PRESENTS THE ADVANTAGES OF COGNITIVE RADAR AS IT RELATES TO ATMOSPHERIC SENSING IN GENERAL AND THEN SPECIFICALLY TO SMALL SATELLITE DESIGN FOR ATMOSPHERIC SENSING. A COGNITIVE RADAR SYSTEM IS ONE THAT IS ABLE TO OPTIMIZE ITS PARAMETERS IN REAL-TIME BASED UPON PAST CONDITIONS CURRENT CONDITIONS AS INTERPRETED FROM THE RADAR RETURN ANY EXTERNAL INFORMATION AVAILABLE AND AN INTERNAL PREDICTION OF THE FUTURE CONDITIONS OF THE OBSERVED ENVIRONMENT [1]. SUCH AN APPROACH WOULD IMPROVE UPON EXISTING SYSTEMS BECAUSE IT IS ABLE TO AUTONOMOUSLY ADAPT TO CHANGING OPERATIONAL CONDITIONS AND THEREFORE ALWAYS OPERATE AT MAXIMUM EFFICIENCY. ATMOSPHERIC SENSORS OPERATE IN CONDITIONS THAT CAN CHANGE RAPIDLY ([2] [4]) AND THEREFORE WOULD GENERATE DATA MORE EFFICIENTLY IF THEY WERE ABLE TO REACT TO THOSE CONDITIONS IN REAL-TIME. SMALL SATELLITES ESPECIALLY THOSE ADHERING TO THE CUBESAT STANDARD ARE REQUIRED TO OPERATE WITHIN EXTREMELY RESTRICTIVE POWER CONSTRAINTS ([5] [7] [8]). IN ORDER TO ADVANCE THE STATE OF THE ART IN COGNITIVE RADAR FOR REMOTE SENSING ON SMALL SATELLITES I PROPOSE TO DEMONSTRATE A FULLY ADAPTIVE RADAR SYSTEM THAT WOULD BE CONSTRAINED UNDER THE SWAP REQUIREMENTS OF A 6U-CUBESAT USING A CLOUD PROFILING APPLICATION AND A SAR APPLICATION. THIS WOULD REQUIRE REFINING THE CURRENT FULLY ADAPTIVE RADAR (FAR) FRAMEWORK IN [1] AND APPLYING IT TO THE STATED APPLICATIONS. THE RESULT WOULD BE A MULTI-APPLICATION RADAR SYSTEM CAPABLE OF ADAPTING ITS BEHAVIOR IN REAL-TIME AS WELL AS THE NECESSARY THEORETICAL FRAMEWORK TO DESCRIBE SUCH A SYSTEM.