The advent of powerful new computing resources has enabled the implementation of observing system simulation experiments to determine the observational signals associated with different climate change scenarios. We present a simulation that pairs climate model outputs from the Community Climate System Model, Version 3 (CCSM3) with a hyperspectral shortwave and longwave satellite instrument emulator based on MODTRAN. These simulations provide detailed data that can both assist in satellite mission planning, and provide insights into observational constraints for climate models, particularly where the goal is to create climate data records that can be used to make statements about secular changes in the climate system.
The simulations described here capture such a large part of the energetically-relevant solar and thermal spectra, disagreements in simulation results can be a useful for interrogating state-of-the-art climate models to get the processes that contribute to OLR and albedo. To that end, simulations have been conducted based on versions of CCSM3 that exhibit differing low-cloud and ice-albedo feedbacks. The resulting observational signals suggest that measurements of, in particular, visible and infrared window bands will be useful for discriminating against climate models with different feedback strengths.