The Multi-sensor Improved Sea Surface Temperatures (MISST) for the Global Ocean Data Assimilation Experiment (GODAE) project focused on producing an improved, high-resolution, global, near-real-time (NRT), sea surface temperature analyses through the combination of satellite observations from complementary infrared (IR) and microwave (MW) sensors and then demonstrating the impact of these improved sea surface temperatures (SSTs) on operational ocean models, numerical weather prediction (NWP), and tropical cyclone intensity forecasting. SST is one of the most important variables related to the global ocean-atmosphere system. It is a key indicator for climate change and is widely applied to studies of upper ocean processes, to air-sea heat exchange, and as a boundary condition for numerical weather prediction. The importance of SST to accurate weather forecasting of both severe events and daily weather has been increasingly recognized over the past several years.  This project received a National Oceanographic Partnership Program (NOPP) Excellence in Partnering Award in 2008.  A description of this earlier project was published in Oceanography in 2009.