ACP Atmospheric Chemistry and Physics ACP Atmos. Chem. Phys. 1680-7324 Copernicus Publications Göttingen, Germany 10.5194/acp-14-9807-2014 To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia Gryazin V. 1 2 Risi C. 3 Jouzel J. 1 Kurita N. 4 Worden J. 5 Frankenberg C. https://orcid.org/0000-0002-0546-5857 5 Bastrikov V. 1 2 6 Gribanov K. 2 Stukova O. 2 Laboratoire des Sciences du Climat et de l'Environnement (LSCE/IPSL CEA-CNRS-UVSQ), CEA Saclay, Gif-sur-Yvette, France Institute of Natural Science, Ural Federal University, Ekaterinburg, Russia Laboratoire de Météorologie Dynamique, Institut Pierre Simon Laplace, Centre National de la Recherche Scientifique, Paris, France Graduate School of Environmental Studies, Nagoya University Furo-cho, Chikusa-ku, Nagoya, Japan Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA Institute of Industrial Ecology UB RAS, Ekaterinburg, Russia 17 09 2014 14 18 9807 9830 Copyright: © 2014 V. Gryazin et al. 2014 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/articles/14/9807/2014/acp-14-9807-2014.html The full text article is available as a PDF file from https://acp.copernicus.org/articles/14/9807/2014/acp-14-9807-2014.pdf

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 (<i>q</i>) in summer and overestimates δ<i>D</i> 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 δ<i>D</i>, and of the δ<i>D</i>-<i>q</i> relationship. This confirms that δ<i>D</i> brings additional information compared to <i>q</i> 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 δ<i>D</i>-<i>q</i> diagrams and of processes controlling δ<i>D</i> and <i>q</i> 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, δ<i>D</i>-<i>q</i> 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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