Observation of tropospheric δD by IASI over western Siberia: comparison with a general circulation model

Pommier, Matthieu; Lacour, Jean‐Lionel; Risi, Camille; Bréon, François‐Marie; Clerbaux, Cathy; Coheur, Pierre‐François; Gribanov, K. G.; Hurtmans, Daniel; Jouzel, Jean; Захаров, В. И.

doi:10.5194/amt-7-1581-2014

Cited by 13 publications

(17 citation statements)

References 48 publications

(76 reference statements)

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“…This is consistent with the summer dry bias of LMDZ discussed earlier. A dry bias was also noticed in the free troposphere compared to the IASI (Infrared Atmospheric Sounding Interferometer) data (Pommier et al, 2014). The daily model-data correlation for q is better in winter and rises to 0.94.…”

Section: Specific Humidity and Isotopic Composition Of The Water Vapormentioning

confidence: 71%

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

et al. 2014

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Abstract. We evaluate the isotopic composition of water vapor and precipitation simulated by the LMDZ (Laboratoire de Météorologie Dynamique-Zoom) GCM (General Circulation Model) over Siberia using several data sets: TES (Tropospheric Emission Spectrometer) and GOSAT (Greenhouse gases Observing SATellite) satellite observations of tropospheric water vapor, GNIP (Global Network for Isotopes in Precipitation) and SNIP (Siberian Network for Isotopes in Precipitation) precipitation networks, and daily, in situ measurements of water vapor and precipitation at the Kourovka site in Western Siberia. LMDZ captures the spatial, seasonal and daily variations reasonably well, but it underestimates humidity (q) in summer and overestimates δD in the vapor and precipitation in all seasons. The performance of LMDZ is put in the context of other isotopic models from the SWING2 (Stable Water Intercomparison Group phase 2) models. There is significant spread among models in the simulation of δD, and of the δD-q relationship. This confirms that δD brings additional information compared to q only. We specifically investigate the added value of water isotopic measurements to interpret the warm and dry bias featured by most GCMs over mid and high latitude continents in summer. The analysis of the slopes in δD-q diagrams and of processes controlling δD and q variations suggests that the cause of the dry bias could be either a problem in the large-scale advection transporting too much dry and warm air from the south, or too strong boundary-layer mixing. However, δD-q diagrams using the available data do not tell the full story. Additional measurements would be needed, or a more sophisticated theoretical framework would need to be developed.

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Section: Specific Humidity and Isotopic Composition Of The Water Vapormentioning

confidence: 71%

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

et al. 2014

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“…They introduced an a posteriori method to reduce the cross dependence of retrieved δD on atmospheric humidity and to assure similar AKs for humidity and δD. The ratio of water vapor isotopologues is much smaller than the variability of humidity, and the a posteriori data treatment reduces the risk of misinterpreting the remote sensing data (Schneider et al, 2012;Pommier et al, 2014;Wiegele et al, 2014). Similar AKs guarantee that the retrieved isotopologue ratio and humidity are sensitive to the same atmospheric air mass, and the cross dependence of atmospheric humidity on the retrieved δD is significantly reduced (see the appendix for details of the AK computation results).…”

Section: Application Of Satellite Averaging Kernel To Model Resultsmentioning

confidence: 99%

Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects

et al. 2015

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Abstract. Over the last decade, global-scale data sets of atmospheric water vapor isotopologues (HDO) have become available from different remote sensing instruments. Due to the observational geometry and the spectral ranges that are used, few satellites sample water isotopologues in the lower troposphere, where the bulk of hydrological processes within the atmosphere take place. Here, we compare three satellite HDO data sets, two from the Tropospheric Emission Spectrometer (TES retrieval version 4 and 5) and one from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY), with results from the atmospheric global circulation model ECHAM4 (European Centre HAMburg 4). We examine a list of known isotopologue effects to qualitatively benchmark the various observational data sets. TES version 5 (TES V5 ), TES version 4 (TES V4 ), SCIAMACHY, ECHAM, and ECHAM convolved with averaging kernels of TES version 5 (ECHAM AK5 ) successfully reproduced a number of established isotopologue effects such as the latitude effect, the amount effect, and the continental effect. The improvement of TES V5 over TES V4 is confirmed by the steeper latitudinal gradient at higher latitudes in agreement with SCIAMACHY. Also the representation of other features of the water isotopologue cycle, such as the seasonally varying signal in the tropics due to the movement of the Intertropical Convergence Zone (ITCZ), is improved in TES V5 and SCIAMACHY compared to TES V4 . A known humidity bias due to the cross correlation of H 2 O and HDO measurements, which is of particular importance for instruments with low sensitivity close to the surface, was analyzed by applying either a humidity bias correction or a suitable a posteriori analysis. We suggest that the qualitative and quantitative tests carried out in this study could become benchmark tests for evaluation of future satellite isotopologue data sets.

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“…Steinwagner et al, 2007;Payne et al, 2007;Lossow et al, 2011). Most recently, middle tropospheric δD products applying the operational meteorological satellite sensor IASI (Infrared Atmospheric Sounding Interferometer) have been presented by Schneider and Hase (2011a), Lacour et al (2012), and Pommier et al (2014).…”

Section: A Wiegele Et Al: the Musica Metop/iasi H 2 O And δD Productsmentioning

confidence: 99%

“…This is done with great similarity to the characterisation of the MUSICA NDACC/FTIR product as presented in Schneider et al (2012), to which we refer throughout this section as S12. Very recently Pommier et al (2014) used the S12 formalism for assessing uncertainties in the IASI water isotopologue product as provided by the Université libre de Bruxelles.…”

Section: The Musica Metop/iasi Retrievalsmentioning

confidence: 99%

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data

et al. 2014

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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.

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Observation of tropospheric δD by IASI over western Siberia: comparison with a general circulation model

Cited by 13 publications

References 48 publications

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data

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Observation of tropospheric δD by IASI over western Siberia: comparison with a general circulation model

Cited by 13 publications

References 48 publications

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia

Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects

The MUSICA MetOp/IASI H&lt;sub&gt;2&lt;/sub&gt;O and δD products: characterisation and long-term comparison to NDACC/FTIR data

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The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data