Articles | Volume 8, issue 10
https://doi.org/10.5194/amt-8-4521-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-4521-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Oct 2015
Research article |
| 27 Oct 2015
The stability and calibration of water vapor isotope ratio measurements during long-term deployments
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
now at: Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, Washington, USA
D. Noone
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon, USA
M. Berkelhammer
Department of Earth and Environmental Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
H. C. Steen-Larsen
Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France
P. Sato
Joint Institute for Marine and Atmospheric Research, NOAA, Hilo, Hawaii, USA
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Latest update: 23 Nov 2024
Short summary
This study evaluates the long-term stability of concentration-dependent and drift-induced biases in three water vapor isotopic analyzers deployed at two remote field sites. Despite limited data at low humidity and measurement hysteresis, inaccuracies in the concentration-dependence characterization are small, and the bias shows no change with isotope ratio or directional drift. Changes in measurement repeatability that are not characterized by linear drift estimates are a larger source of error.
This study evaluates the long-term stability of concentration-dependent and drift-induced biases...
