Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART-Reference-Cited by-同舟云学术

Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART

Published:2019-12 Issue: Volume:218 Page:116969
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Burki Charlotte,Šikoparija Branko,Thibaudon Michel^ORCID,Oliver Gilles,Magyar Donat,Udvardy Orsolya,Leelőssy Ádám,Charpilloz Christophe,Pauling Andreas

Funder

Swiss National Science Foundation

Swiss National Supercomputing Centre

CSCS

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference38 articles.

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5. Ambrosia pollen source inventory for Italy: a multi-purpose tool to assess the impact of the ragweed leaf beetle (Ophraella communa LeSage) on populations of its host plant;Bonini;Int. J. Biometeorol.,2018

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