Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H2xch li O,δD} pairs - A review
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Subtitle: Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H2xch li O,δD} pairs - A review
Publisher: European Geosciences Union (EGU) / Copernicus Publications
Publication year: 2016
Journal: Atmospheric Measurement Techniques (1867-1381)
Volume number: 9
Issue number: 7
Start page: 2845
End page: 2875.
ISSN: 1867-1381
eISSN: 1867-8548
Languages: English-United States (EN-US)
Abstract
Abstract. In the lower/middle troposphere, {H2O,δD} pairs are good proxies for moisture pathways; however, their observation, in particular when using remote sensing techniques, is challenging.https://search.proquest.com/openview/e61fbe62208bba5dac5ca74de2facf38/1?pq-origsite=gscholar&cbl=105742The aim is to retrieve calibrated tropospheric {H2O,δD} pairs from the middle infrared spectra measured from ground by FTIR (Fourier transform infrared) spectrometers of the NDACC (Network for the Detection of Atmospheric Composition Change) and the thermal nadir spectra measured by IASI (Infrared Atmospheric Sounding Interferometer) aboard the MetOp satellites. In this paper, we present the final MUSICA products, and discuss the characteristics and potential of the NDACC/FTIR and MetOp/IASI {H2O,δD} data pairs.
First, we briefly resume the particularities of an {H2O,δD} pair retrieval. Second, we show that the remote sensing data of the final product version are absolutely calibrated with respect to H2O and δD in situ profile references measured in the subtropics, between 0 and 7km. Third, we reveal that the {H2O,δD} pair distributions obtained from the different remote sensors are consistent and allow distinct lower/middle tropospheric moisture pathways to be identified in agreement with multi-year in situ references. Fourth, we document the possibilities of the NDACC/FTIR instruments for climatological studies (due to long-term monitoring) and of the MetOp/IASI sensors for observing diurnal signals on a quasi-global scale and with high horizontal resolution. Fifth, we discuss the risk of misinterpreting {H2O,δD} pair distributions due to incomplete processing of the remote sensing products.
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