Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2785-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2785-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Jun 2022
Data description paper |
| 21 Jun 2022
| 21 Jun 2022
The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016)
Enza Di Tomaso
CORRESPONDING AUTHOR
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Jerónimo Escribano
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Sara Basart
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Paul Ginoux
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Francesca Macchia
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Francesca Barnaba
Consiglio Nazionale delle Ricerche–Istituto di Scienze dell'Atmosfera e del Clima (CNR–ISAC), Rome, Italy
Francesco Benincasa
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Pierre-Antoine Bretonnière
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Arnau Buñuel
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Miguel Castrillo
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Emilio Cuevas
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
Paola Formenti
Université Paris Cité and Univ Paris-Est Créteil, CNRS, LISA, 75013 Paris, France
María Gonçalves
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Department of Project and Construction Engineering, Universitat Politècnica de Catalunya – BarcelonaTech (UPC), Terrassa, Spain
Oriol Jorba
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Martina Klose
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Department Troposphere Research, Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Lucia Mona
Consiglio Nazionale delle Ricerche–Istituto di Metodologie per l'Analisi Ambientale (CNR–IMAA), Tito Scalo (PZ), Italy
Gilbert Montané Pinto
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Michail Mytilinaios
Consiglio Nazionale delle Ricerche–Istituto di Metodologie per l'Analisi Ambientale (CNR–IMAA), Tito Scalo (PZ), Italy
Vincenzo Obiso
Barcelona Supercomputing Center (BSC), Barcelona, Spain
now at: NASA Goddard Institute for Space Studies (GISS), New York, New York, USA
Miriam Olid
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Nick Schutgens
Department of Earth Sciences, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Athanasios Votsis
Section of Governance and Technology for Sustainability (BMS-CSTM), University of Twente, Enschede, the Netherlands
Weather and Climate Change Impact Research, Finnish Meteorological Institute (FMI), Helsinki, Finland
Ernest Werner
Agencia Estatal de Meteorología (AEMET), Barcelona, Spain
Carlos Pérez García-Pando
Barcelona Supercomputing Center (BSC), Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
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Cited
8 citations as recorded by crossref.
- 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
- A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter L. Fang et al. 10.5194/gmd-16-4867-2023
- Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona S. Lolli et al. 10.5194/acp-23-12887-2023
- 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
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
- Inverse modeling of the 2021 spring super dust storms in East Asia J. Jin et al. 10.5194/acp-22-6393-2022
- 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
5 citations as recorded by crossref.
- 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
- A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter L. Fang et al. 10.5194/gmd-16-4867-2023
- Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona S. Lolli et al. 10.5194/acp-23-12887-2023
- 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
- Evaluating the effects of columnar NO2on the accuracy of aerosol optical properties retrievals T. Drosoglou et al. 10.5194/amt-16-2989-2023
3 citations as recorded by crossref.
- Inverse modeling of the 2021 spring super dust storms in East Asia J. Jin et al. 10.5194/acp-22-6393-2022
- 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
Discussed (final revised paper)
Latest update: 18 Apr 2024
Short summary
MONARCH reanalysis of desert dust aerosols extends the existing observation-based information for mineral dust monitoring by providing 3-hourly upper-air, surface and total column key geophysical variables of the dust cycle over Northern Africa, the Middle East and Europe, at a 0.1° horizontal resolution in a rotated grid, from 2007 to 2016. This work provides evidence of the high accuracy of this data set and its suitability for air quality and health and climate service applications.
MONARCH reanalysis of desert dust aerosols extends the existing observation-based information...
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Final-revised paper
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