2018
DOI: 10.1002/2017jd027260
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The Climatological Impacts of Continental Surface Evaporation, Rainout, and Subcloud Processes on δD of Water Vapor and Precipitation in Europe

Abstract: All types of applications of stable water isotopes, for example, for the reconstruction of paleotemperatures or for climate model validation, rely on a proper understanding of the mechanisms determining the isotopic composition of water vapor and precipitation. In this study, we use the isotope‐enabled limited‐area model COSMOiso to characterize the impacts of continental evapotranspiration, rainout, and subcloud processes on δD of European water vapor and precipitation. To this end, we first confirm a reliabl… Show more

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Cited by 31 publications
(49 citation statements)
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References 72 publications
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“…For this kind of forward‐modeling of proxy records, a realistic model of the proxy is required, which is certainly a bottleneck. Some type of proxy forward models may require only seasonal means of meteorological variables as input, but other types, such as oxygen stable isotopes in ice cores, require a full incorporation of an isotope enabled module in the climate model . This requires in turn the driving fields (e.g., isotope concentrations at the model boundaries) that have to be provided by the global model.…”
Section: Perspectivessupporting
confidence: 83%
See 1 more Smart Citation
“…For this kind of forward‐modeling of proxy records, a realistic model of the proxy is required, which is certainly a bottleneck. Some type of proxy forward models may require only seasonal means of meteorological variables as input, but other types, such as oxygen stable isotopes in ice cores, require a full incorporation of an isotope enabled module in the climate model . This requires in turn the driving fields (e.g., isotope concentrations at the model boundaries) that have to be provided by the global model.…”
Section: Perspectivessupporting
confidence: 83%
“…Some type of proxy forward models may require only seasonal means of meteorological variables as input, but other types, such as oxygen stable isotopes in ice cores, require a full incorporation of an isotope enabled module in the climate model. 99 This requires in turn the driving fields (e.g., isotope concentrations at the model boundaries) that have to be provided by the global model. Despite the technical complexity, this approach is in general more accurate, in particular when the link between the proxy record and climate is strongly nonlinear or strongly depends on the background climate state.…”
Section: Perspectivesmentioning
confidence: 99%
“…Here we limited the evaluation to GNIP measurements in precipitation, and therefore cannot completely rule out compensating errors of different fractionation processes. However, Christner et al (2018) validated a similar climatological simulation with COSMOiso over Europe against measurements in water vapour as well as GNIP measurements and found that the model reproduces δ 2 H in water vapour even more accurately than δ 2 H from the GNIP measurements. Thus, we are confident that COSMOiso represents the influence of the different meteorological processes on δ 2 H in a realistic way.…”
Section: Discussionmentioning
confidence: 99%
“…Moore et al (2014) used the isotope version of the System for Atmospheric Modeling (IsoSAM; Blossey et al, 2010) to determine the relative importance of moisture convergence and rain evaporation and equilibration for the amount effect (i.e. decreasing δ 2 H and δ 18 O with increasing precipitation amount) in an idealized simulation, and Christner et al (2018) used the isotope version of the Consortium for Small-Scale Modelling (COSMOiso; Pfahl et al, 2012) for attributing δ 2 H in European water vapour and precipitation to evapotranspiration, rainout, and rain evaporation and equilibration. The disadvantage of Eulerian isotope models is that, due to their complexity and consequently the many inherent feedbacks, it can be difficult to isolate the impact of individual processes on isotopic variability.…”
Section: Stable Water Isotopes (H 16mentioning
confidence: 99%
“…The results show that stations at similar elevation had W-LMWL with similar characteristics (slope and intercept), but with increasing slope with elevation, being closer to the GMLW at the highest stations (RA). S-LMWLs had lower slopes and similarly variable intercept values, likely reflecting a higher contribution from local, re-evaporated, moisture sources and sub-cloud evaporation after precipitation during summer [29].…”
Section: Local Meteoric Water Linementioning
confidence: 98%