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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

Atmospheric Chemistry and Physics

M. Mytilinaios, S. Basart, S. Ciamprone, J. Cuesta, C. Dema, E. Di Tomaso, P. Formenti, A. Gkikas, O. Jorba, R. Kahn, C. Pérez García-Pando, S. Trippetta, and L. Mona
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts

Atmospheric Chemistry and Physics

M. GonçalvesAgeitos, V. Obiso, R. L. Miller, O. Jorba, M. Klose, M. Dawson, Y. Balkanski, J. Perlwitz, S. Basart, E. Di Tomaso, J. Escribano, F. Macchia, G. Montané, N. M. Mahowald, R. O. Green, D. R. Thompson, and C. Pérez García-Pando

2022

The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016)

Earth System Science Data

E. Di Tomaso, J. Escribano, S. Basart, P. Ginoux, F. Macchia, F. Barnaba, F. Benincasa, P-A. Bretonnière, A. Buñuel, M. Castrillo, E. Cuevas, P. Formenti, M. Gonçalves, O. Jorba, M. Klose, L. Mona, G. Montané Pinto, M. Mytilinaios, V. Obiso, M. Olid, N. Schutgens, A. Votsis, E. Werner, and C. Pérez García-Pando
Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017)

Atmospheric Chemistry and Physics

A. Gkikas, E. Proestakis, V. Amiridis, S. Kazadzis, E. Di Tomaso, E. Marinou, N. Hatzianastassiou, J. F. Kok, and C. Pérez García-Pando
Assimilating spaceborne lidar dust extinction can improve dust forecasts

Atmospheric Chemistry and Physics

J. Escribano, E. Di Tomaso, O. Jorba, M. Klose, M. Gonçalves Ageitos, F. Macchia, V. Amiridis, H. Baars, E. Marinou, E. Proestakis, C. Urbanneck, D. Althausen, J. Bühl, R-E. Mamouri, and C. Pérez García-Pando

2021

Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0

Geoscientific Model Development

M. Klose, O. Jorba, M. Gonçalves Ageitos, J. Escribano, M. L. Dawson, V. Obiso, E. Di Tomaso, S. Basart, G. Montané Pinto, F. Macchia, P. Ginoux, J. Guerschman, C. Prigent, Y. Huang, J. F. Kok, R. L. Miller, and C. Pérez García-Pando
ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set

Atmospheric Measurement Techniques

A. Gkikas, E. Proestakis, V. Amiridis, S. Kazadzis, E. Di Tomaso, A. Tsekeri, E. Marinou, N. Hatzianastassiou, and C. Pérez García-Pando

2017

Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0

Geoscientific Model Development

E.. Di Tomaso, N. A. J. Schutgens, O. Jorba, and C. Pérez García-Pando

2016

Dust modelling and DA at BSC

Presentation

E.. Di Tomaso

2014

How to ingest measurements into a computer simulation: data assimilation enhancement of an atmospheric model

Severo Ochoa Research Seminar Lectures at BSC

E.. Di Tomaso

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