TY - DATA
T1 - A multi-model assessment of molecular hydrogen Global Warming Potential
AU - Sand, Maria
AU - Skeie, Ragnhild Bieltvedt
AU - Sandstad, Marit
AU - Krishnan, Srinath
AU - Myhre, Gunnar
AU - Hauglustaine, Didier
AU - Paulot, Fabien
AU - Prather, Michael
AU - Stevenson, David
AU - Bryant, Hannah
AU - National Center for Atmospheric Research
AU - Center for International Climate Research
AU - Geophysical Fluid Dynamics Laboratory
AU - University of Edinburgh
AU - Laboratoire des Sciences du Climat et de l'Environnement
PY - 2023
PB - Norstore
UR - https://doi.org/10.11582/2023.00024
DO - 10.11582/2023.00024
ER -
Sand, M., Skeie, R. B., Sandstad, M., Krishnan, S., Myhre, G., Hauglustaine, D., Paulot, F., Prather, M., Stevenson, D., Bryant, H., National Center for Atmospheric Research, Center for International Climate Research, Geophysical Fluid Dynamics Laboratory, University of Edinburgh, Laboratoire des Sciences du Climat et de l'Environnement (2023).A multi-model assessment of molecular hydrogen Global Warming Potential [Data set]. Norstore. https://doi.org/10.11582/2023.00024
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| Description |
This dataset contains model output from five models (gfdl, inca, oslo-ctm3, ukca and waccm6) of experiments exploring the effects of molecular hydrogen on the atmospheric chemistry. All models have performed concentration driven experiments: a base experiment, an experiment with an increased hydrogen concentration (for most models a 10% increase), and an experiment with 10% increase in methane (the latter to explore the indirect effects caused by a hydrogen induced increase in methane lifetime). The gfdl and oslo-ctm3 models also have data for concentration driven experiments. Details on the data outputs and formatting of the data are in the accompanying READMEøfile
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