Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/13187
The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007-2016)
Title: The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007-2016)
Authors: Di Tomaso, EnzaEscribano, JerónimoBasart, Sara ORCID Ginoux, PaulMacchia, FrancescaBarnaba, FrancescaBenincasa, FrancescoBretonnière, Pierre-AntoineBuñuel, ArnauCastrillo, MiguelCuevas Agulló, Emilio ORCID RESEARCHERID SCOPUSID Autor AEMETFormenti, PaolaGonçalves, MaríaJorba, OriolKlose, MartinaMona, LuciaMontané, GilbertMytilinaios, MichailObiso, VincenzoOlid, MiriamSchutgens, NickVotsis, AthanasiosWerner, ErnestAutor AEMETPérez García-Pando, Carlos
Keywords: Desert; Dust aerosol; MONARCH modeling system; Dust emission
Issue Date: 2021
Publisher: Copernicus Publications
Citation: Earth System Science Data Discussions. 2021
Publisher version: https://doi.org/10.5194/essd-2021-358
Abstract: One of the challenges in studying desert dust aerosol along with its numerous interactions and impacts is the paucity of direct in-situ measurements, particularly in the areas most affected by dust storms. Satellites typically provide columnintegrated aerosol measurements, but observationally-constrained continuous 3D dust fields are needed to assess dust variability, climate effects and impacts upon a variety of socio-economic sectors. Here, we present a high resolution regional reanalysis data set of desert dust aerosols that covers Northern Africa, the Middle East and Europe along with the Mediterranean sea and parts of Central Asia, and the Atlantic and Indian Oceans between 2007 and 2016. The horizontal resolution is 0.1° latitude × 0.1° longitude, and the temporal resolution is 3 hours. The reanalysis was produced using Local Ensemble Transform Kalman Filter (LETKF) data assimilation in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) developed at the Barcelona Supercomputing Center (BSC). The assimilated data are coarse-mode dust optical depth retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue Level 2 products. The reanalysis data set consists of upper air (dust mass concentrations and extinction coefficient), surface (dust deposition and solar irradiance fields, among them) and total column (e.g., dust optical depth and load) variables. Some dust variables, such as concentrations and wet and dry deposition, are expressed for a binned size distribution that ranges from 0.2 to 20 μm in particle diameter. Both analysis and first-guess (analysis-initialized simulation) fields are available for the variables that are diagnosed from the state vector.
Sponsorship : We acknowledge the DustClim project which is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union’s Horizon 2020 research and innovation programme (Grant n. 690462).
URI: http://hdl.handle.net/20.500.11765/13187
ISSN: 1866-3591
Appears in Collections:Artículos científicos 2019-2021


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