Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6403-2021
© Author(s) 2021. 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-14-6403-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Department Troposphere Research, Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Oriol Jorba
Barcelona Supercomputing Center (BSC), Barcelona, Spain
María Gonçalves Ageitos
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Department of Project and Construction Engineering, Universitat Politècnica de Catalunya – BarcelonaTECH (UPC), Barcelona, Spain
Jeronimo Escribano
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Matthew L. Dawson
Barcelona Supercomputing Center (BSC), Barcelona, Spain
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Vincenzo Obiso
Barcelona Supercomputing Center (BSC), Barcelona, Spain
NASA Goddard Institute for Space Studies (GISS), New York, NY, USA
Enza Di Tomaso
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Sara Basart
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Gilbert Montané Pinto
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Francesca Macchia
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Paul Ginoux
Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA
Juan Guerschman
Land and Water, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, Australia
Catherine Prigent
Observatoire de Paris, PSL University, Sorbonne Université, CNRS, LERMA, Paris, France
Yue Huang
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA
NASA Goddard Institute for Space Studies (GISS), New York, NY, USA
Earth Institute, Columbia University, New York, NY 10025, USA
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA
Ron L. Miller
NASA Goddard Institute for Space Studies (GISS), New York, NY, USA
Carlos Pérez García-Pando
CORRESPONDING AUTHOR
Barcelona Supercomputing Center (BSC), Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
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Latest update: 14 Nov 2024
Short summary
Mineral soil dust is a major atmospheric airborne particle type. We present and evaluate MONARCH, a model used for regional and global dust-weather prediction. An important feature of the model is that it allows different approximations to represent dust, ranging from more simplified to more complex treatments. Using these different treatments, MONARCH can help us better understand impacts of dust in the Earth system, such as its interactions with radiation.
Mineral soil dust is a major atmospheric airborne particle type. We present and evaluate...