Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-961-2025
https://doi.org/10.5194/gmd-18-961-2025
Methods for assessment of models
 | 
20 Feb 2025
Methods for assessment of models |  | 20 Feb 2025

A new metrics framework for quantifying and intercomparing atmospheric rivers in observations, reanalyses, and climate models

Bo Dong, Paul Ullrich, Jiwoo Lee, Peter Gleckler, Kristin Chang, and Travis A. O'Brien

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Cited articles

Algarra, I., Nieto, R., Ramos, A. M., Eiras-Barca, J., Trigo, R. M., and Gimeno, L.: Significant increase of global anomalous moisture uptake feeding land-falling atmospheric rivers, Nat. Commun., 11, 5082, https://doi.org/10.1038/s41467-020-18876-w, 2020. 
Beck, H. E., van Dijk, A. I. J. M., Levizzani, V., Schellekens, J., Miralles, D. G., Martens, B., and de Roo, A.: MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data, Hydrol. Earth Syst. Sci., 21, 589–615, https://doi.org/10.5194/hess-21-589-2017, 2017. 
Bracegirdle, T. J., Holmes, C. R., Hosking, J. S., Marshall, G. J., Osman, M., Patterson, M., and Rackow, T.: Improvements in circumpolar Southern Hemisphere extratropical atmospheric circulation in CMIP6 compared to CMIP5, Earth Space Sci. 7, e2019EA001065, https://doi.org/10.1029/2019EA001065, 2020. 
Buizza, R., Poli, P., Rixen, M., Alonso-Balmaseda, M., Bosilovich, M. G., Brönnimann, S., and Vaselali, A.: Advancing global and regional reanalyses, B. Am. Meteorol. Soc., 99, ES139–ES144, 2018. 
Caldwell, P. M., Mametjanov, A., Tang, Q., Van Roekel, L. P., Golaz, J. C., Lin, W., and Zhou, T.: The DOE E3SM coupled model version 1: Description and results at high resolution, J. Adv. Model. Earth Sy., 11, 4095–4146, 2019. 
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Short summary
A metrics package designed for easy analysis of atmospheric river (AR) characteristics and statistics is presented. The tool is efficient for diagnosing systematic AR bias in climate models and useful for evaluating new AR characteristics in model simulations. In climate models, landfalling AR precipitation shows dry biases globally, and AR tracks are farther poleward (equatorward) in the North and South Atlantic (South Pacific and Indian Ocean).
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