Stable isotopes give a powerful tool used in many applications (biogeochemistry, atmospheric science, greenhouse gases, paleoclimate, hydrogeology, geology, forensics etc) and, as such, isotope data should fit-for-purpose. To produce reliable data and make trustworthy interpretations, data produced in different laboratories should be comparable (be on the same scale) and compatible (be within target uncertainty). However, the uncertainty provided often involves only the measurement repeatability on a few runs. There are no commonly agreed ways of uncertainty estimations and some uncertainty components may be missing from considerations. Thereafter, use of basic quality control tools such as performance charts, quality control materials and lab-to-lab comparisons is of high importance. This multi-disciplinary session aims to address aspects related to the quality of stable isotope data starting from calibrations, uncertainty estimation as well as various tools used for quality control.

Co-organized as AS5.27
Convener: Sergey Assonov | Co-conveners: Philip Dunn, Grzegorz Skrzypek, David Soto
| Tue, 09 Apr, 16:15–18:00
Room L2
| Attendance Tue, 09 Apr, 08:30–10:15
Hall A

Attendance time: Tuesday, 9 April 2019, 08:30–10:15 | Hall A

Chairperson: David Soto, Greg Skrzypek, Philip Dunn and Sergey Assonov
A.343 |
Tracey Jacksier, Rick Socki, Nathalie Luu, and Matt Matthew
A.345 |
Maria Heiling, Janet Chen, Christian Resch, Leopold Mayr, Roman Gruber, and Gerd Dercon
A.347 |
Dmitriy Malinovskiy, Philip J.H. Dunn, and Heidi Goenaga-Infante
A.348 |
Christian Resch, Winnie van Vark, Roman Gruber, Maria Heiling, and Gerd Dercon
A.349 |
Sergey Assonov, David Soto, Manfred Groening, and Ales Fajgelj
A.350 |
Romain Amiot, Francois Fourel, Laurent Simon, Magali Seris, Jean Goedert, and Christophe Lecuyer
A.352 |
Improvements in quality controls on long-term global records of stable isotopes of atmospheric carbon dioxide and methane
Sylvia Michel, Bruce Vaughn, Kevin Rozmiarek, Alyssa Johnson, Pieter Tans, John Miller, and James White