2013
DOI: 10.5194/amt-6-599-2013
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HDO/H<sub>2</sub>O ratio retrievals from GOSAT

Abstract: Abstract. We report a new shortwave infrared (SWIR) retrieval of the column-averaged HDO/H2O ratio from the Japanese Greenhouse Gases Observing Satellite (GOSAT). From synthetic simulation studies, we have estimated that the inferred δD values will typically have random errors between 20‰ (desert surface and 30° solar zenith angle) and 120‰ (conifer surface and 60° solar zenith angle). We find that the retrieval will have a small but significant sensitivity to the presence of cirrus clouds, the HDO a priori pr… Show more

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Cited by 57 publications
(74 citation statements)
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“…Schneider and Hase, 2011a;Boesch et al, 2013) or between δD measurements and model simulations (e.g. Schneider et al, 2010;Lacour et al, 2012).…”
Section: δD Correlationsmentioning
confidence: 99%
“…Schneider and Hase, 2011a;Boesch et al, 2013) or between δD measurements and model simulations (e.g. Schneider et al, 2010;Lacour et al, 2012).…”
Section: δD Correlationsmentioning
confidence: 99%
“…Ground-based remote sensing of δ 18 O in water vapour has been realized recently but so far, only a small number of measurements have been carried out. For this reason we consider global observations of deuterium (δD) in total column water vapour retrieved from the GOSAT satellite (Boesch et al, 2013;Frankenberg et al, 2013) for the period April 2009 to June 2011. We select only measurements which pass a series of quality criteria involving the absence of clouds and the retrieval precision for different species Risi et al, 2013).…”
Section: Satellite Observations Of Isotopes In Water Vapourmentioning
confidence: 99%
“…Schneider et al, 2006b;Worden et al, 2006;Lacour et al, 2012;Schneider et al, 2012;Boesch et al, 2013), so far no rigorous empirical quality assessment has been presented. The few existing studies consist of very few indirect comparisons (Worden et al, 2011) or use a δD reference that itself is not comprehensively validated Boesch et al, 2013). This situation is rather unsatisfactory: since δD remote sensing measurements are very difficult and the nature of the data is very complex, there is urgent need to support the theoretical quality assessment studies by elaborated empirical validation exercises.…”
Section: Schneider Et Al: Empirical Validation Of δD Remote Sensimentioning
confidence: 99%
“…Schneider et al (2012) present tropospheric H 2 O and δD remotely sensed from the ground at 10 globally distributed FTIR (Fourier transform infrared) stations of the NDACC (Network for the Detection of Atmospheric Composition Change, http://www.acd.ucar.edu/irwg/). Space-based remote sensing observations of tropospheric δD are possible by thermal nadir sensors (Worden et al, 2006;Lacour et al, 2012) and sensors detecting reflected solar light in the near infrared (Frankenberg et al, 2009(Frankenberg et al, , 2013Boesch et al, 2013).…”
Section: Schneider Et Al: Empirical Validation Of δD Remote Sensimentioning
confidence: 99%