Abstract:Abstract.We propose an innovative approach for analysing ground-based FTIR spectra which allows us to detect variabilities of lower and middle/upper tropospheric HDO/H 2 O ratios. We show that the proposed method is superior to common approaches. We estimate that lower tropospheric HDO/H 2 O ratios can be detected with a noise to signal ratio of 15% and middle/upper tropospheric ratios with a noise to signal ratio of 50%. The method requires the inversion to be performed on a logarithmic scale and to introduce… Show more
“…Quality assessment of remotely sensed δD has been performed theoretically (Worden et al, 2006;Schneider et al, 2006;Schneider and Hase, 2011;Lacour et al, 2012;Schneider et al, 2012;Boesch et al, 2013). So far empirical validation studies of tropospheric δD remote sensing products have been made with very few indirect references or have used a δD reference that itself was not comprehensively validated (Schneider and Hase, 2011;Boesch et al, 2013).…”
Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning
Abstract. Vertical profiles of water vapor (H 2 O) and its isotope ratio D/H expressed as δD(H 2 O) were measured in situ by the ISOWAT II diode-laser spectrometer during the MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) airborne campaign. We present recent modifications of the instrument design. The instrument calibration on the ground as well as in flight is described. Based on the calibration measurements, the humidity-dependent uncertainty of our airborne data is determined. For the majority of the airborne data we achieved an accuracy (uncertainty of the mean) of (δD) ≈ 10 ‰. Vertical profiles between 150 and ∼ 7000 m were obtained during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The flights were coordinated with ground-based (Network for the Detection of Atmospheric Composition Change, NDACC) and space-based (Infrared Atmospheric Sounding Interferometer, IASI) FTIR remote sensing measurements of δD(H 2 O) as a means to validate the remote sensing humidity and δD(H 2 O) data products. The results of the validation are presented in detail in a separate paper (Schneider et al., 2014). The profiles were obtained with a high vertical resolution of around 3 m. By analyzing humidity and δD(H 2 O) correlations we were able to identify different layers of air masses with specific isotopic signatures. The results are discussed.
“…Quality assessment of remotely sensed δD has been performed theoretically (Worden et al, 2006;Schneider et al, 2006;Schneider and Hase, 2011;Lacour et al, 2012;Schneider et al, 2012;Boesch et al, 2013). So far empirical validation studies of tropospheric δD remote sensing products have been made with very few indirect references or have used a δD reference that itself was not comprehensively validated (Schneider and Hase, 2011;Boesch et al, 2013).…”
Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning
Abstract. Vertical profiles of water vapor (H 2 O) and its isotope ratio D/H expressed as δD(H 2 O) were measured in situ by the ISOWAT II diode-laser spectrometer during the MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) airborne campaign. We present recent modifications of the instrument design. The instrument calibration on the ground as well as in flight is described. Based on the calibration measurements, the humidity-dependent uncertainty of our airborne data is determined. For the majority of the airborne data we achieved an accuracy (uncertainty of the mean) of (δD) ≈ 10 ‰. Vertical profiles between 150 and ∼ 7000 m were obtained during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The flights were coordinated with ground-based (Network for the Detection of Atmospheric Composition Change, NDACC) and space-based (Infrared Atmospheric Sounding Interferometer, IASI) FTIR remote sensing measurements of δD(H 2 O) as a means to validate the remote sensing humidity and δD(H 2 O) data products. The results of the validation are presented in detail in a separate paper (Schneider et al., 2014). The profiles were obtained with a high vertical resolution of around 3 m. By analyzing humidity and δD(H 2 O) correlations we were able to identify different layers of air masses with specific isotopic signatures. The results are discussed.
“…In recent years there has been great progress in remote-sensing observations of water vapour isotopologues. In the meanwhile ground-based FTIR (Fourier Transform InfraRed) instruments (Schneider et al, 2006 have been used for measuring δD in the lower and middle troposphere. Furthermore, there are space-borne scientific sensors that measure middle tropospheric δD (Worden et al, 2007) and δD at and above the upper troposphere and lower stratosphere (e.g.…”
Section: A Wiegele Et Al: the Musica Metop/iasi H 2 O And δD Productsmentioning
Abstract. Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) ground-and space-based remote sensing as well as in situ data sets of tropospheric water vapour isotopologues are provided. The space-based remote-sensing data set is produced from spectra measured by the IASI (Infrared Atmospheric Sounding Interferometer) sensor and is potentially available on a global scale.Here, we present the MUSICA IASI data for three different geophysical locations (subtropics, midlatitudes, and Arctic), and we provide a comprehensive characterisation of the complex nature of such space-based isotopologue remotesensing products. The quality assessment study is complemented by a comparison to MUSICA's ground-based FTIR (Fourier Transform InfraRed) remote-sensing data retrieved from the spectra recorded at three different locations within the framework of NDACC (Network for the Detection of Atmospheric Composition Change).We confirm that IASI is able to measure tropospheric H 2 O profiles with a vertical resolution of about 4 km and a random error of about 10 %. In addition IASI can observe middle tropospheric δD that adds complementary value to IASI's middle tropospheric H 2 O observations. Our study presents theoretical and empirical proof that IASI has the capability for a global observation of middle tropospheric water vapour isotopologues on a daily timescale and at a quality that is sufficiently high for water cycle research purposes.
“…The methodology used to retrieve HDO / H 2 O ratios from IASI radiances is overall similar to that presented in Lacour et al (2012), which itself was stimulated by the earlier developments on the retrieval of δD presented by Schneider et al (2006) and Worden et al (2006). As compared to Lacour et al (2012), the retrieval settings have been optimized for the specificity of the high-latitude region analysed here.…”
Section: Retrieval Methodology Summarymentioning
confidence: 99%
“…This method also has the large advantage of minimizing the error on the δD profile (e.g. Schneider et al, 2006) as demonstrated for example by Worden et al (2006Worden et al ( , 2007Worden et al ( , 2012 on TES measurements, on IASI measurements by Schneider and Hase (2011) and Lacour et al (2012), or for ground-based measurements by Schneider et al (2006Schneider et al ( , 2010Schneider et al ( , 2012.…”
Section: Particularity Of the δD Retrieval: The Hdo / H 2 O Correlatementioning
confidence: 99%
“…The HDO / H 2 O correlated approach makes it possible to constrain the retrieval taking into account the probability density function of the ln(HDO)-ln(H 2 O) distribution which is more stable than H 2 O variability (Schneider et al, 2006). Performing the retrieval on a natural logarithm scale and including the correlation between ln(HDO) and ln(H 2 O) helps to constrain the joint HDO / H 2 O retrieval to a physically meaningful solution.…”
Section: Particularity Of the δD Retrieval: The Hdo / H 2 O Correlatementioning
Abstract. This study presents the joint H 2 16 O and HDO retrieval from Infrared Atmospheric Sounding Interferometer (IASI) spectra over western Siberia. IASI is an instrument on board the MetOp-A European satellite. The global coverage of the instrument and the good signal-to-noise ratio allow us to provide information on δD over this remote region. We show that IASI measurements may be used to estimate integrated δD between the surface and 3 km altitude or from 1 to 5 km depending on the thermal contrast, with observational errors lower than 4 % and 7 %, respectively. The retrieved data are compared to simulations from an isotopic general circulation model, LMDZ-iso for 2011. The satellite measurements and the model agree well and they reproduce well the seasonal and day-to-day variations for δD, presenting a good correlation (r up to 0.8 with the smoothed data in summer). The IASI-based retrievals also show the seasonal variation of the specific humidity in both altitude ranges.
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