Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1469-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1469-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
19 Feb 2024
Methods for assessment of models |
| 19 Feb 2024
| 19 Feb 2024
Sensitivity of atmospheric rivers to aerosol treatment in regional climate simulations: insights from the AIRA identification algorithm
Eloisa Raluy-López
Physics of the Earth, Regional Campus of International Excellence (CEIR) “Campus Mare Nostrum”, University of Murcia, Murcia, Spain
Physics of the Earth, Regional Campus of International Excellence (CEIR) “Campus Mare Nostrum”, University of Murcia, Murcia, Spain
Pedro Jiménez-Guerrero
CORRESPONDING AUTHOR
Physics of the Earth, Regional Campus of International Excellence (CEIR) “Campus Mare Nostrum”, University of Murcia, Murcia, Spain
Biomedical Research Institute of Murcia (IMIB-Arrixaca), Murcia, Spain
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Short summary
Atmospheric rivers (ARs) represent a significant source of water but are also related to extreme precipitation events. Here, we present a new regional-scale AR identification algorithm and apply it to three simulations that include aerosol interactions at different levels. The results show that aerosols modify the intensity and trajectory of ARs and redistribute the AR-related precipitation. Thus, the correct inclusion of aerosol effects is important in the simulation of AR behavior.
Atmospheric rivers (ARs) represent a significant source of water but are also related to extreme...
