This paper describes a methodology for water vapor retrieval in the mesosphere-lower thermosphere (MLT) using 6.6 μ1m daytime broadband emissions measured by SABER, the limb scanning infrared radiometer on board the TIMED satellite. Particular attention is given to accounting for the non-local thermodynamic equilibrium (non-LTE) nature of the H₂O 6.6 μm emission in the MLT. The non-LTE H₂O(ν₂) vibrational level populations responsible for this emission depend on energy exchange processes within the H₂O vibrational system as well as on interactions with vibrationally excited states of the O₂, N ₂, and CO₂ molecules. The rate coefficients of these processes are known with large uncertainties that undermines the reliability of the H₂O retrieval procedure. We developed a methodology of finding the optimal set of rate coefficients using the nearly coincidental solar occultation H₂O density measurements by the ACE-FTS satellite and relying on the better signal-to-noise ratio of SABER daytime 6.6 μm measurements. From this comparison we derived an update to the rate coefficients of the three most important processes that affect the H₂O(ν ₂) populations in the MLT: a) the vibrational-vibrational (Vĝ€"V) exchange between the H₂O and O₂ molecules; b) the vibrational-translational (Vĝ€"T) process of the O₂(1) level quenching by collisions with atomic oxygen, and c) the Vĝ€"T process of the H₂O(010) level quenching by collisions with N₂, O₂, and O. Using the advantages of the daytime retrievals in the MLT, which are more stable and less susceptible to uncertainties of the radiance coming from below, we demonstrate that applying the updated H₂O non-LTE model to the SABER daytime radiances makes the retrieved H₂O vertical profiles in 50ĝ€"85 km region consistent with climatological data and model predictions. The H ₂O retrieval uncertainties in this approach are about 10% at and below 70 km, 20% at 80 km, and 30% at 85 km altitude.