Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2455–2474, 2018
Geosci. Model Dev., 11, 2455–2474, 2018

Methods for assessment of models 20 Jun 2018

Methods for assessment of models | 20 Jun 2018

Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design

Christine A. Shields et al.

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Cited articles

American Meteorological Society: Atmospheric River, Glossary of Meteorology, available at: river (last access: 15 June 2018), 2017. 
Baggett, C. F., Barnes, E. A., Maloney, E. D., and Mundhenk, B. D.: Advancing atmospheric river forecasts into subseasonal-to-seasonal time scales, Geophys. Res. Lett., 44, 7528–7536,, 2017. 
Barnes, E. A. and Polvani, L.: Response of the midlatitude jets, and of their variability, to increased greenhouse gases in the CMIP5 models, J. Climate, 26, 7117–7135,, 2013. 
Bonne, J., Steen-Larsen, H. C., Risi, C., Werner, M., Sodemann, H., Lacour, J. Fettweis, X., Cesana, G., Delmotte, M., Cattani, O., Vallelonga, P., Kjær, H. A., Clerbaux, C., Sveinbjörnsdóttir, A. E., and Masson-Delmotte, V.: The summer 2012 Greenland heat wave: In situ and remote sensing observations of water vapor isotopic composition during an atmospheric river event, J. Geophys. Res.-Atmos., 120, 2970–2989,, 2015. 
Short summary
ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with the explicit goal of understanding the uncertainties, and the implications of those uncertainties, in atmospheric river science solely due to detection algorithm. ARTMIP strives to quantify these differences and provide guidance on appropriate algorithmic choices for the science question posed. Project goals, experimental design, and preliminary results are provided.