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The project MUSICA (MUlti-platform remote Sensing of Isotopologues forinvestigating the Cycle of Atmospheric water) integrates tropospheric watervapour isotopologue remote sensing and in situ observations. This paperpresents a first empirical validation of MUSICA's H2O and δDremote sensing products, generated from ground-based FTIR (Fourier transforminfrared), spectrometer and space-based IASI (infrared atmospheric soundinginterferometer) observation. The study is made in the area of the CanaryIslands in the subtropical northern Atlantic. As reference we use wellcalibrated in situ measurements made aboard an aircraft (between 200 and6800 m a.s.l.) by the dedicated ISOWAT instrument and on the island ofTenerife at two different altitudes (at Izaña, 2370 m a.s.l., and atTeide, 3550 m a.s.l.) by two commercial Picarro L2120-i water isotopologueanalysers. The comparison to the ISOWAT profile measurements shows that the remotesensors can well capture the variations in the water vapour isotopologues, andthe scatter with respect to the in situ references suggests a δDrandom uncertainty for the FTIR product of much better than 45‰ inthe lower troposphere and of about 15‰ for the middle troposphere.For the middle tropospheric IASI δD product the study suggests arespective uncertainty of about 15‰. In both remote sensing data setswe find a positive δD bias of 30–70‰. Complementing H2O observations with δD data allows moisturetransport studies that are not possible with H2O observations alone. Weare able to qualitatively demonstrate the added value of the MUSICA δDremote sensing data. We document that the δD–H2O curvesobtained from the different in situ and remote sensing data sets (ISOWAT,Picarro at Izaña and Teide, FTIR, and IASI) consistently identify twodifferent moisture transport pathways to the subtropical north easternAtlantic free troposphere

Empirical validation and proof of added value of MUSICA's tropospheric δD remote sensing products