Abstract
The Raman lidar technique as currently applied for the retrieval of WV mixing ratio profiles allows, in theory, to estimate HDO/H2O atmospheric profiles. The objective of this study is to develop a lidar simulator and to study the feasibility of the groundbased Raman lidar HDO measurement. Thus, the characteristics of a realistic lidar system for the estimation of HDO/H2O atmospheric profiles are investigated through a set of numerical simulations.
Highlights
Improving the climate models’ treatment of the complex water cycle is one of the key goals set by the Intergovernmental Panel on Climate Change
Absolute measurement calibration is dependent on accurate spectroscopy, while retrieval validation requires in situ profiling capability [3]
With a highly performing and somehow ideal system, useful information can be obtained from nighttime measurements on variability day-to-day variability of HDO vertical distribution in the boundary layer and lower free troposphere
Summary
Improving the climate models’ treatment of the complex water cycle is one of the key goals set by the Intergovernmental Panel on Climate Change In this context, the isotopologue ratios of water (e.g. HD16O/H216O) contain valuable information about the history of the water content and are a powerful tool for investigating the water cycle (e.g. moistening and dehydration in the tropical troposphere [1], precipitation evaporation in the lower troposphere [2], etc...). The Raman lidar technique allows estimating HDO/H2O atmospheric profiles Expected advantages of this technique, that could be used to validate the existing measurements, are the temporal and vertical sampling (depending on the required integration) but, more important, independent retrieval for each layer
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