Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jeronimo Escribano"'
Autor:
Romain Pilon, Habib Senghor, Binta Diallo, Jeronimo Escribano, Frederic Hourdin, Jean-Yves Grandpeix, Olivier Boucher, Amadou Thierno Gaye, Eric Machu
Saharan dust represents more than 50% of the total desert dust emitted around the globe and its radiative effect significantly affects the atmospheric circulation at a continental scale. Atmospheric models often fail to represent the dust vertical di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2e16e5af6daa1bc413b626dd79f1dc
https://doi.org/10.5194/egusphere-egu22-2754
https://doi.org/10.5194/egusphere-egu22-2754
Autor:
Francesca Macchia, Paul Ginoux, Jeronimo Escribano, Pierre-Antoine Bretonnière, M. Gonçalves, Miguel Castrillo, V. Obiso, Lucia Mona, Enza Di Tomaso, Carlos Pérez García-Pando, Nick Schutgens, Gilbert Montané, Francesca Barnaba, Miriam Olid, Oriol Jorba, Francesco Benincasa, Arnau Buñuel, Martina Klose, Paola Formenti, Sara Basart, Michail Mytilinaios, Athanasios Votsis, Ernest Werner, Emilio Cuevas
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 columnintegrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9e29d0bab0eded34e5c57f4ec266882
https://doi.org/10.5194/essd-2021-358
https://doi.org/10.5194/essd-2021-358
Autor:
Carlos Pérez García-Pando, Andrés Alastuey, Matic Ivančič, Agnesh Panta, Rebecca N. Greenberger, Kamal Tajeddine, Cristina González-Flórez, Cristina Reche, Martina Klose, George Nikolich, Vicken Etyemezian, Bethany Elhmann, Xavier Querol, Sylvain Dupont, Roger N. Clark, Konrad Kandler, Jesús Yus-Díez, Jeronimo Escribano, Marco Pandolfi, Adolfo González-Romero
Publikováno v:
EGU General Assembly 2021
EGU General Assembly 2021, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-13606⟩
EGU General Assembly 2021, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-13606⟩
The physical and chemical properties of dust, i.e. its particle size distribution (PSD), mineralogical composition, shape and mixing state determine its climate effects. However, the lack of experimental data and understanding of the emitted dust and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e12bd30e13c18b430a9e4148ad9a577
https://hal.inrae.fr/hal-03285384
https://hal.inrae.fr/hal-03285384
Autor:
Paul Ginoux, Enza Di Tomaso, Nick Schutgens, Paola Formenti, Oriol Jorba, Vincenzo Obiso, Carlos PérezGarcía-Pando, Sara Basart, Michail Mytilinaios, Gilbert Montané, Athanasios Votsis, Ernest Werner, Miguel Castrillo, Francesca Macchia, Jeronimo Escribano, Francesca Barnaba, Lucia Mona
Desert dust is the most abundant aerosol by mass residing in the atmosphere. It plays a key role in the Earth’s system by influencing the radiation balance, by affecting cloud formation and cloud chemistry, and by acting as a fertilizer for the gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8e0ec7334e446cc48fb571f42844061
https://doi.org/10.5194/egusphere-egu21-11644
https://doi.org/10.5194/egusphere-egu21-11644
Autor:
Carlos Pérez García-Pando, Jeronimo Escribano, Francesca Macchia, Enza Di Tomaso, Martina Klose, Gilbert Montané, Oriol Jorba
The generation of the ensemble forecast is a key step in the design of an ensemble-based data assimilation scheme as it bears a significant impact on the assimilation outcome. The ensemble of model states is used within the assimilation algorithm to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65928dde828be7e611dda4908b42dc6
https://doi.org/10.5194/egusphere-egu21-10328
https://doi.org/10.5194/egusphere-egu21-10328
Autor:
Holger Baars, Carlos Pérez García-Pando, Rodanthi-Elisavet Mamouri, Emmanouil Proestakis, Oriol Jorba, Johannes Bühl, Enza Di Tomaso, Dietrich Althausen, Vassilis Amiridis, Francesca Macchia, Jeronimo Escribano, Eleni Marinou, Martina Klose, María Gonçalves Ageitos, Claudia Urbanneck
Publikováno v:
Goldschmidt2021 abstracts.
Autor:
Oriol Jorba, Lucia Mona, Athanasios Votsis, Gilbert Montané, Miguel Castrillo, Francesca Macchia, Jeronimo Escribano, Paul Ginoux, Carlos Pérez García-Pando, Francesca Barnaba, Paola Formenti, Vincenzo Obiso, Enza Di Tomaso, Nick Schutgens, Ernest Werner, Sara Basart, Michail Mytilinaios
Publikováno v:
Goldschmidt2021 abstracts.
Autor:
Jeronimo Escribano, Rodanthi-Elisavet Mamouri, Oriol Jorba, Vassilis Amiridis, Emmanouil Proestakis, Claudia Urbanneck, Carlos Pérez García-Pando, María Gonçalves Ageitos, Francesca Macchia, Enza Di Tomaso, Eleni Marinou, Dietrich Althausen, Martina Klose, Holger Baars, Johannes Bühl
Publikováno v:
Atmospheric Chemistry and Physics
Atmospheric mineral dust has a rich tri-dimensional spatial and temporal structure that is poorly constrained in forecasts and analyses when only column-integrated aerosol optical depth (AOD) is assimilated. At present, this is the case of most opera
Autor:
Gilbert Montané Pinto, Carlos Pérez García-Pando, Francesca Macchia, Matthew L. Dawson, Paul Ginoux, Jeronimo Escribano, Yue Huang, Catherine Prigent, Jasper F. Kok, Sara Basart, Oriol Jorba, V. Obiso, María Gonçalves Ageitos, Enza Di Tomaso, Martina Klose, Ron L. Miller, Juan Pablo Guerschman
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Geoscientific Model Development, 14 (10), 6403-6444
Geoscientific Model Development
Geoscientific Model Development, Vol 14, Pp 6403-6444 (2021)
Geosci. Model Dev. Discuss
Universitat Politècnica de Catalunya (UPC)
Geoscientific Model Development, 14 (10), 6403-6444
Geoscientific Model Development
Geoscientific Model Development, Vol 14, Pp 6403-6444 (2021)
Geosci. Model Dev. Discuss
We present the dust module in the Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) version 2.0, a chemical weather prediction system that can be used for regional and global modeling at a range of resolutions. The representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac4634dacbf9eabd7af6c16fbb2c3eb