The Institute of Atmospheric Sciences and Climate (CNR-ISAC) aims at an integrated scientific understanding of the atmosphere, the ocean and their processes, by means of a multidisciplinary approach which combines scientific and technological skills in meteorology, climate, atmospheric dynamics and composition, Earth observations; it develops basic research, theoretical, experimental and numerical, and modeling work together with impact evaluation.
ISAC is the largest CNR Institute on atmospheric sciences, structured in 7 Units over the country, 7 permanent observatories, including 3 Global Stations of the Global Atmosphere Watch (GAW) program of the World Meteorological Organization (WMO) and 2 atmospheric research Supersites.
ISAC is recognised internationally through its collaboration with a large number of European laboratories, and research centers worldwide.

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E' con soddisfazione che vi annunciamo l'uscita del secondo numero della newsletter dell'Associazione Italiana di Scienze dell'Atmosfera e Meteorologia (AISAM) di cui ISAC è socio collettivo.
La newsletter vuole essere uno strumento per dar voce alla all'associazione, affinché essa diventi un punto di aggregazione della comunità nazionale delle scienze dell'atmosfera ma anche un riferimento per i più giovani che si vogliono avvicinare a queste discipline.

The recent accident - 15th of May 2020 - with a fire at the 3V-Sigma industrial plant in Marghera (Venice) has been simulated with SMART modelling suite, as test case. The emission term has been elaborated together with ARIANET Srl.
The modelling system SMART is under development for the simulation of accidental releases dispersion. SMART is composed by the non-hydrostatic atmospheric model MOLOCH (here run at 500 m horizontal resolution), interfaced to the Lagrangian stochastic particle dispersion model SPRAY, through the new ARAMIS code.

Atmosphere — Open Access Journal

Un editoriale scritto dai ricercatori CNR-ISAC Daniele Contini e Francesca Costabile e pubblicato su Atmosphere è oggetto del nuovo comunicato stampa del CNR.

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Incorporating random perturbations in temperature, humidity, and wind might offer a computationally cheaper alternative to increased resolution in an Earth system model when predicting global warming and Arctic sea ice cover.
A Research Spotlight item in Eos Magazine reports findings by ISAC researchers just published in Geophysical Research Letter

 

V. Levizzani, C. Kidd, D. B. Kirshbaum, C. D. Kummerow, K. Nakamura, and J. Turk are the editors of the new Springer’s book “Satellite Precipitation Measurement”. The book offers a complete overview of the measurement of precipitation from space including the advancements of science and technology achieved during the last two decades.

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