The hydrogen isotope composition of seawater and the global water cycle

1998 ◽  
Vol 145 (3-4) ◽  
pp. 249-261 ◽  
Author(s):  
Christophe Lécuyer ◽  
Philippe Gillet ◽  
François Robert
1989 ◽  
Vol 289 (4) ◽  
pp. 455-483 ◽  
Author(s):  
Y. Tardy ◽  
R. N'Kounkou ◽  
J.-L. Probst

2007 ◽  
Vol 88 (3) ◽  
pp. 375-384 ◽  
Author(s):  
E. S. Takle ◽  
J. Roads ◽  
B. Rockel ◽  
W. J. Gutowski ◽  
R. W. Arritt ◽  
...  

A new approach, called transferability intercomparisons, is described for advancing both understanding and modeling of the global water cycle and energy budget. Under this approach, individual regional climate models perform simulations with all modeling parameters and parameterizations held constant over a specific period on several prescribed domains representing different climatic regions. The transferability framework goes beyond previous regional climate model intercomparisons to provide a global method for testing and improving model parameterizations by constraining the simulations within analyzed boundaries for several domains. Transferability intercomparisons expose the limits of our current regional modeling capacity by examining model accuracy on a wide range of climate conditions and realizations. Intercomparison of these individual model experiments provides a means for evaluating strengths and weaknesses of models outside their “home domains” (domain of development and testing). Reference sites that are conducting coordinated measurements under the continental-scale experiments under the Global Energy and Water Cycle Experiment (GEWEX) Hydrometeorology Panel provide data for evaluation of model abilities to simulate specific features of the water and energy cycles. A systematic intercomparison across models and domains more clearly exposes collective biases in the modeling process. By isolating particular regions and processes, regional model transferability intercomparisons can more effectively explore the spatial and temporal heterogeneity of predictability. A general improvement of model ability to simulate diverse climates will provide more confidence that models used for future climate scenarios might be able to simulate conditions on a particular domain that are beyond the range of previously observed climates.


Science ◽  
2012 ◽  
Vol 336 (6080) ◽  
pp. 455-458 ◽  
Author(s):  
P. J. Durack ◽  
S. E. Wijffels ◽  
R. J. Matear

2001 ◽  
Vol 32 (1-2) ◽  
pp. 231-246 ◽  
Author(s):  
Siegfried Franck ◽  
Christine Bounama

2021 ◽  
Author(s):  
Meisha Holloway-Philips ◽  
Jochem Baan ◽  
Daniel Nelson ◽  
Guillaume Tcherkez ◽  
Ansgar Kahmen

<p>The hydrogen isotope composition (δ<sup>2</sup>H) of cellulose has been used to assess ecohydrological processes and carries metabolic information, adding new understanding to how plants respond to environmental change. However, experimental approaches to isolate drivers of δ<sup>2</sup>H variation is limited to the Yakir & DeNiro model (1990), which is difficult to implement and largely unvalidated. Notably, the two biosynthetic fractionation factors in the model, associated with photosynthetic (ε<sub>A</sub>) and post-photosynthetic (ε<sub>H</sub>) processes are currently accepted as constants, and the third parameter – the extent to which organic molecules exchange hydrogen (f<sub>H</sub>) with local water – is usually tuned in order to resolve the difference between modelled and observed cellulose δ<sup>2</sup>H values. Thus, by virtue, the metabolically interpretable parameter is only f<sub>H</sub>, whilst from theory, metabolic flux rates will also impact on the apparent fractionations. To overcome part of this limitation, we measured the δ<sup>2</sup>H of extracted leaf sucrose from fully-expanded leaves of seven species and a phosphoglucomutase ‘starchless’ mutant of tobacco to estimate the isotopic offset between sucrose and leaf water (ε<sub>sucrose</sub>). Sucrose δ<sup>2</sup>H explained ~60% of the δ<sup>2</sup>H variation observed in cellulose. In general, ε<sub>sucrose</sub> was higher (range: -203‰ to -114‰; mean: -151 ± 21‰) than the currently accepted value of -171‰ (ε<sub>A</sub>) reflecting <sup>2</sup>H-enrichment downstream of triose-phosphate export from the chloroplast, with statistical differences in ε<sub>sucrose</sub> observed between species estimates. The remaining δ<sup>2</sup>H variation in cellulose was explained by species differences in f<sub>H </sub>(estimated by assuming ε<sub>H </sub>= +158‰). We also tested possible links between model parameters and plant metabolism. ε<sub>sucrose</sub> was positively related to dark respiration (R<sup>2</sup>=0.27) suggesting an important branch point influencing sugar δ<sup>2</sup>H. In addition, f<sub>H</sub> was positively related to the turnover time (τ) of water-soluble carbohydrates (R<sup>2</sup>=0.38), but only when estimated using fixed ε<sub>A </sub>= -171‰. To decipher and isolate the “metabolic” information contained within δ<sup>2</sup>H values of cellulose it will be important to assess δ<sup>2</sup>H values of non-structural carbohydrates so that hydrogen isotope fractionation during sugar metabolism can be better understood. This study provides the first attempt at such measurements showing species differences in both source and sink processes are important in understanding δ<sup>2</sup>H variation of cellulose.</p>


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