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Temporal and spatial variability of δD(H2)
                              from six EUROHYDROS stations
                      A. M. Batenburg, S. Walter, G. Pieterse, I. Levin, M. Schmidt, A. Jordan,
                                     S. Hammer, C. Yver, and T. Röckmann


 Worldwide χ(H2) and δD(H2) observations
 Present atmospheric molecular hydrogen (H2) mixing ratios (χ(H2)) are
 around ~0.5 ppm. In the coming decades, H2 levels are expected to rise
 due to use of hydrogen as an energy carrier. This may affect greenhouse
 gas lifetimes and stratospheric ozone depletion. Unfortunately, large
 uncertainties still exist in the global H2 budget. The different sources and
 sinks of H2 have very distinct isotopic signatures and fractionation
 coefficients, respectively. Therefore, measurements of isotopic
 composition (δD(H2)) are a promising tool to gain insight into H2 source
 and sink processes and to constrain the terms in the global budget.
 Weekly to monthly air samples from six locations in the EUROHYDROS
 network have been analysed for δD(H2) with a GC-IRMS system. The time
 series thus obtained now stretch over at least a year for all stations. This is
 the largest set of ground station observations of δD(H2) so far.                Fig 1: Locations of the EUROHYDROS flask sampling stations discussed here.



                                                                                     Time series
                                                                                     Fig. 2 shows the time series of χ(H2) and δD(H2) for the different stations.
                                                                                     These data clearly show that the χ(H2) and δD(H2) variability is much larger in
                                                                                     the Northern Hemisphere (NH) than in the Southern Hemisphere (SH).
                                                                                     The NH stations Alert, Mace Head and Cape Verde show clear cycles in both
                                                                                     χ(H2) and δD(H2) that are 5-6 months out-of-phase. This phase difference is
                                                                                     due to accumulation of H2 from D-depleted (combustion) sources in winter
                                                                                     and strong sinks (soil uptake and OH oxidation) in summer that preferentially
                                                                                     remove the light hydrogen.
                                                                                     For Schauinsland and Neumayer, cycles are observed in χ(H2) but not in δ
                                                                                     D(H2). There is large scatter in the Schauinsland δD(H2) data, possibly due to
                                                                                     the continental location close to source regions. The Amsterdam Island χ(H2)
                                                                                     cycle is weak and no cycle is observed in δD(H2).
                                                                                     Fig 2: χ(H2) (blue squares, by UHEI-IUP, LSCE and MPI-BGC) and δD(H2) (red circles, by IMAU)
                                                                                     measured on samples from the six stations. Solid lines represent harmonic best fits, error
                                                                                     bars represent one standard error, open circles represent data that were affected by a
                                                                                     system bias, open stars represent other outliers (some in Amsterdam Island are off the
                                                                                     scale). Data denoted with open symbols are not used in the calculations.




                                             Latitude gradient                                                                                 Sinks
                                             In Fig. 3, the seasonal averages                                                                  If a seasonal cycle is assumed
                                             are plotted against station                                                                       to be driven mainly by sinks,
                                             latitude. In all seasons, both                                                                    an apparent fractionation
                                             χ(H2) and δD(H2) are higher in                                                                    factor (αapp) can be calculated
                                             the SH than in the NH.                                                                            from a Rayleigh fractionation
                                             Surprisingly, the minimum in δ                                                                    plot. Good fits were obtained
                                             D(H2) is not found in Alert, but                                                                  for three stations only (Fig.
                                             at one of the lower-latitude                                                                      4(a)). From αapp, the relative
                                             stations. As H2 from                                                                              contribution of the two H2
                                             anthropogenic sources is                                                                          sinks can be estimated (Fig.
                                             D-depleted, this minimum                                                                          4(b)). This shows that the
                                             may be a result of                                                                                relative importance of the
                                             anthropogenic influence.                                                                          uptake by soil increases with
                                               Fig 3: Seasonal averages of χ(H2)                                                               latitude (i.e. with larger land
                                               and δD(H2), plotted against station                                                             mass and lower OH levels).
                                               latitude. Error bars indicate one
                                               standard deviation
                                                                                           Fig 4: (a) Apparent fractionation factors (αapp) for the NH plotted against station
                                                                                           latitude. (b) Relative contribution of soil uptake and OH oxidation to the total sinks,
                                                                                           assuming αapp is a mass-weighted average of α’s of the two sinks.
Conclusions/Outlook
These regular observations of χ(H2) and δD(H2) provide insight into the
seasonal and latitudinal distribution of H2 and its isotopic composition.                 Read more
Tentative conclusions can be drawn about the geographical variations                      These data were published in
in its sources and sinks. These data have been used with the global                       - A. M. Batenburg et al., Temporal and spatial variability of the stable isotopic
chemical transport model TM5 and help to distinguish between                              composition of atmospheric molecular hydrogen, ACP, 11, 6985-6999, 2011
different source/sink scenarios.                                                          TM5 model results were published in
Acknowledgements: We thank our EUROHYDROS partners for this pleasant and                  - G. Pieterse et al., Global modelling of H2 mixing ratios and isotopic compositions
productive cooperation. EUROHYDROS is funded by the EU.                                   with the TM5 model, ACP, 11, 7001-7026, 2011

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Spatial and Temporal Variability of δD(H2) from Six EUROHYDROS Stations

  • 1. Temporal and spatial variability of δD(H2) from six EUROHYDROS stations A. M. Batenburg, S. Walter, G. Pieterse, I. Levin, M. Schmidt, A. Jordan, S. Hammer, C. Yver, and T. Röckmann Worldwide χ(H2) and δD(H2) observations Present atmospheric molecular hydrogen (H2) mixing ratios (χ(H2)) are around ~0.5 ppm. In the coming decades, H2 levels are expected to rise due to use of hydrogen as an energy carrier. This may affect greenhouse gas lifetimes and stratospheric ozone depletion. Unfortunately, large uncertainties still exist in the global H2 budget. The different sources and sinks of H2 have very distinct isotopic signatures and fractionation coefficients, respectively. Therefore, measurements of isotopic composition (δD(H2)) are a promising tool to gain insight into H2 source and sink processes and to constrain the terms in the global budget. Weekly to monthly air samples from six locations in the EUROHYDROS network have been analysed for δD(H2) with a GC-IRMS system. The time series thus obtained now stretch over at least a year for all stations. This is the largest set of ground station observations of δD(H2) so far. Fig 1: Locations of the EUROHYDROS flask sampling stations discussed here. Time series Fig. 2 shows the time series of χ(H2) and δD(H2) for the different stations. These data clearly show that the χ(H2) and δD(H2) variability is much larger in the Northern Hemisphere (NH) than in the Southern Hemisphere (SH). The NH stations Alert, Mace Head and Cape Verde show clear cycles in both χ(H2) and δD(H2) that are 5-6 months out-of-phase. This phase difference is due to accumulation of H2 from D-depleted (combustion) sources in winter and strong sinks (soil uptake and OH oxidation) in summer that preferentially remove the light hydrogen. For Schauinsland and Neumayer, cycles are observed in χ(H2) but not in δ D(H2). There is large scatter in the Schauinsland δD(H2) data, possibly due to the continental location close to source regions. The Amsterdam Island χ(H2) cycle is weak and no cycle is observed in δD(H2). Fig 2: χ(H2) (blue squares, by UHEI-IUP, LSCE and MPI-BGC) and δD(H2) (red circles, by IMAU) measured on samples from the six stations. Solid lines represent harmonic best fits, error bars represent one standard error, open circles represent data that were affected by a system bias, open stars represent other outliers (some in Amsterdam Island are off the scale). Data denoted with open symbols are not used in the calculations. Latitude gradient Sinks In Fig. 3, the seasonal averages If a seasonal cycle is assumed are plotted against station to be driven mainly by sinks, latitude. In all seasons, both an apparent fractionation χ(H2) and δD(H2) are higher in factor (αapp) can be calculated the SH than in the NH. from a Rayleigh fractionation Surprisingly, the minimum in δ plot. Good fits were obtained D(H2) is not found in Alert, but for three stations only (Fig. at one of the lower-latitude 4(a)). From αapp, the relative stations. As H2 from contribution of the two H2 anthropogenic sources is sinks can be estimated (Fig. D-depleted, this minimum 4(b)). This shows that the may be a result of relative importance of the anthropogenic influence. uptake by soil increases with Fig 3: Seasonal averages of χ(H2) latitude (i.e. with larger land and δD(H2), plotted against station mass and lower OH levels). latitude. Error bars indicate one standard deviation Fig 4: (a) Apparent fractionation factors (αapp) for the NH plotted against station latitude. (b) Relative contribution of soil uptake and OH oxidation to the total sinks, assuming αapp is a mass-weighted average of α’s of the two sinks. Conclusions/Outlook These regular observations of χ(H2) and δD(H2) provide insight into the seasonal and latitudinal distribution of H2 and its isotopic composition. Read more Tentative conclusions can be drawn about the geographical variations These data were published in in its sources and sinks. These data have been used with the global - A. M. Batenburg et al., Temporal and spatial variability of the stable isotopic chemical transport model TM5 and help to distinguish between composition of atmospheric molecular hydrogen, ACP, 11, 6985-6999, 2011 different source/sink scenarios. TM5 model results were published in Acknowledgements: We thank our EUROHYDROS partners for this pleasant and - G. Pieterse et al., Global modelling of H2 mixing ratios and isotopic compositions productive cooperation. EUROHYDROS is funded by the EU. with the TM5 model, ACP, 11, 7001-7026, 2011