| Summary: | The justification for the use of stereo motion vectors (SMVs) derived from instruments such as the NASA MISR (Multiangle Imaging Spectro-Radiometer), ESA AATSR (Advanced Along Track Scanning Radiometer) and future Sentinel-3 SLSTR is given. Examples are shown of cloud-top heights and winds (Stereo Motion Vectors, SMVs) using the M2/3 stereo matching system described by (Muller et al., 2002) and its modification, M4, for AATSR (Muller et al., 2007). Examples are also shown of the application of a modified scheme, M6 for smoke-plume injection height (Fisher et al., 2012) and its validation using CALIPSO. A new algorithm for better discrimination of clouds over snow/ice based on the census algorithm is also described (Fisher and Muller, 2012) along with results applied to wind retrieval over Greenland from overlapping AATSR data. A description of the proposed ESA WINDS mission using the MISRlite instrument concept (Muller et al., 2010) is given along with results on an evaluation of systemic biases using a triple collocation technique. This indicates that current MISR data have similar error characteristics to existing AMVs but superior quality along-track performance. As data assimilation of Doppler Lidar winds is uni-directional, this suggests that only small modifications to the DA schemes developed for Doppler Lidars would be required for ingestion of MISR-like winds to NWP models in the future.
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