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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- Effects of Non‐Photosynthetic Vegetation on Dust Emissions X. Huang & H. Foroutan 10.1029/2021JD035243
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- Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe M. Mytilinaios et al. 10.5194/acp-23-5487-2023
- Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. 10.1007/s13351-023-2195-6
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- Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara C. González-Flórez et al. 10.5194/acp-23-7177-2023
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- Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling A. Chappell et al. 10.1029/2023JD038584
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- Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. 10.5194/gmd-15-3663-2022
- Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
23 citations as recorded by crossref.
- Assessment of spatiotemporal features and potential sources of atmospheric aerosols over the Tianshan Mountains in arid central Asia Y. Ge et al. 10.1016/j.atmosenv.2022.119502
- A review of coarse mineral dust in the Earth system A. Adebiyi et al. 10.1016/j.aeolia.2022.100849
- The Development of METAL-WRF Regional Model for the Description of Dust Mineralogy in the Atmosphere S. Solomos et al. 10.3390/atmos14111615
- Impacts of a revised surface roughness parameterization in the Community Land Model 5.1 R. Meier et al. 10.5194/gmd-15-2365-2022
- Assessing ozone abatement scenarios in the framework of the Spanish ozone mitigation plan H. Petetin et al. 10.1016/j.scitotenv.2023.165380
- Drivers of recent decline in dust activity over East Asia C. Wu et al. 10.1038/s41467-022-34823-3
- Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain G. Kosmopoulos et al. 10.3390/s23146541
- Combined Characterization of Airborne Saharan Dust above Sofia, Bulgaria, during Blocking-Pattern Conditioned Dust Episode in February 2021 Z. Peshev et al. 10.3390/rs15153833
- A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions D. Leung et al. 10.5194/acp-23-6487-2023
- Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. 10.5194/acp-22-535-2022
- Effects of Non‐Photosynthetic Vegetation on Dust Emissions X. Huang & H. Foroutan 10.1029/2021JD035243
- Insights into the single-particle composition, size, mixing state, and aspect ratio of freshly emitted mineral dust from field measurements in the Moroccan Sahara using electron microscopy A. Panta et al. 10.5194/acp-23-3861-2023
- Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe M. Mytilinaios et al. 10.5194/acp-23-5487-2023
- Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980 Y. Zhou et al. 10.1007/s13351-023-2195-6
- Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions Y. Huang et al. 10.5194/acp-23-2557-2023
- Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara C. González-Flórez et al. 10.5194/acp-23-7177-2023
- Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. 10.5194/gmd-15-3663-2022
- The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) E. Di Tomaso et al. 10.5194/essd-14-2785-2022
- Enhanced dust emission following large wildfires due to vegetation disturbance Y. Yu & P. Ginoux 10.1038/s41561-022-01046-6
- Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling A. Chappell et al. 10.1029/2023JD038584
- Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts M. Gonçalves Ageitos et al. 10.5194/acp-23-8623-2023
- Uncertainties in source allocation of carbonaceous aerosols in a Mediterranean region H. Navarro-Barboza et al. 10.1016/j.envint.2023.108252
7 citations as recorded by crossref.
- The Dust Emission Potential of Agricultural‐Like Fires—Theoretical Estimates From Two Conceptually Different Dust Emission Parameterizations R. Wagner et al. 10.1029/2020JD034355
- Linking the Different Diameter Types of Aspherical Desert Dust Indicates That Models Underestimate Coarse Dust Emission Y. Huang et al. 10.1029/2020GL092054
- Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
- Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. 10.5194/acp-22-535-2022
- Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. 10.5194/gmd-15-3663-2022
- Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. 10.5194/acp-21-3973-2021
Discussed (final revised paper)
Latest update: 05 Dec 2023
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...