Oriol Jorba Casellas

2018

• Modelling of pollen dispersion in the atmosphere: evaluation with a continuous 1β+1δ lidar

  EPJ Web of Conferences

  M. Sicard, R. Izquierdo, O. Jorba, M. Alarcón, J. Belmonte, A. Comerón, C. De Linares, and J. Maria Baldasano
• Aerosol-radiation interaction in atmospheric models: Idealized sensitivity study of simulated short-wave direct radiative effects to particle microphysical properties

  Journal of Aerosol Science

  V.. Obiso, and O.. Jorba

2017

• Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts

  Atmospheric Chemistry and Physics

  A. Ansmann, F. Rittmeister, R. Engelmann, S. Basart, O. Jorba, C. Spyrou, S. Remy, A. Skupin, H. Baars, P. Seifert, F. Senf, and T. Kanitz
• Volcanic ash modeling with the on-line NMMB/BSC-ASHv1.0model: model description, case simulation andevaluation

  Atmospheric Chemistry and Physics Discussions

  A. Marti, A. Folch, O. Jorba, and Z. Janjic
• Impact of aerosol microphysical properties on mass scattering cross sections

  Journal of Aerosol Science

  V.. Obiso, M.. Pandolfi, M.. Ealo, and O.. Jorba
• Volcanic ash modeling with the online NMMB-MONARCH-ASH v1.0 model: model description, case simulation, and evaluation

  Atmospheric Chemistry and Physics

  A. Martí, A. Folch, O. Jorba, and Z. Janjic
• Description and evaluation of the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (NMMB-MONARCH) version 1.0: gas-phase chemistry at global scale

  Geoscientific Model Development

  A. Badia, O. Jorba, A. Voulgarakis, D. Dabdub, C. Pérez García-Pando, A. Hilboll, M. Gonçalves, and Z. Janjic
• 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

• Volcanic ash modeling with the on-line NMMB/BSC-ASHv1.0model: model description, case simulation andevaluation

  Atmospheric Chemistry and Physics Discussions

  A. Marti, A. Folch, O. Jorba, and Z. Janjic
• Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data

  Atmospheric Chemistry and Physics

  I. Kioutsioukis, U. Im, E. Solazzo, R. Bianconi, A. Badia, A. Balzarini, R. Baró, R. Bellasio, D. Brunner, C. Chemel, G. Curci, H. Denier van der Gon, J. Flemming, R. Forkel, L. Giordano, P. Jiménez-Guerrero, M. Hirtl, O. Jorba, A. Manders-Groot, L. Neal, J. L. Pérez, G. Pirovano, R. San Jose, N. Savage, W. Schroder, R. S. Sokhi, D. Syrakov, P. Tuccella, J. Werhahn, R. Wolke, C. Hogrefe, and S. Galmarini