Abstract

Abstract. We report on the ground-based FTIR (Fourier transform infrared) tropospheric water vapour isotopologue remote sensing data that have been recently made available via the database of NDACC (Network for the Detection of Atmospheric Composition Change; ftp://ftp.cpc.ncep.noaa.gov/ndacc/MUSICA/) and via doi:10.5281/zenodo.48902. Currently, data are available for 12 globally distributed stations. They have been centrally retrieved and quality-filtered in the framework of the MUSICA project (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). We explain particularities of retrieving the water vapour isotopologue state (vertical distribution of H216O, H218O, and HD16O) and reveal the need for a new metadata template for archiving FTIR isotopologue data. We describe the format of different data components and give recommendations for correct data usage. Data are provided as two data types. The first type is best-suited for tropospheric water vapour distribution studies disregarding different isotopologues (comparison with radiosonde data, analyses of water vapour variability and trends, etc.). The second type is needed for analysing moisture pathways by means of H2O, δD-pair distributions.

Highlights

  • Simultaneous observations of different tropospheric water isotopologues can provide valuable information on moisture source, transport, cloud processes, and precipitation (e.g.Dansgaard, 1964; Gat, 2000; Yoshimura et al, 2004)

  • We report on the ground-based FTIR (Fourier transform infrared) tropospheric water vapour isotopologue remote sensing data that have been recently made available via the database of NDACC (Network for the Detection of Atmospheric Composition Change; ftp://ftp.cpc.ncep.noaa.gov/ndacc/MUSICA/) and via doi:10.5281/zenodo

  • The standard GEOMS metadata template for FTIR data on the NDACC database does not allow data to be provided in such a format and a slight extension of the standard FTIR template has been made

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Summary

Introduction

Simultaneous observations of different tropospheric water isotopologues can provide valuable information on moisture source, transport, cloud processes, and precipitation There has been significant progress in measuring the tropospheric water vapour isotopologues; remote sensing observations are interesting since they can provide data for the free troposphere and they can be performed continuously (for cloud-free conditions). During MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water), a method has been developed to obtain tropospheric water vapour profiles as well as {H2O, δD} pairs from groundbased FTIR (Fourier transform infrared) and space-based. The ground-based FTIR spectra are measured in the framework of the NDACC (Network for the Detection of Atmospheric Composition Change, www.ndacc.org) These spectra are of very high quality and have been available at some stations since the 1990s, offering longterm data records, which are of particular interest to climatological studies or for assessing the stability of longterm satellite data records.

The principle of optimal estimation retrieval methods
Correct description of the water vapour isotopologue state
Data set description
Averaging kernels
A31 A32 A33
Error covariances
Column densities
Recommendations for data usage
Transfer to a logarithmic scale
Comparison studies
Conclusions
Findings
Basis systems for describing the atmospheric state

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