Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Johanna H Grönqvist"'
Autor:
Fredrik Jansson, Martin Janssens, Johanna H. Grönqvist, A. Pier Siebesma, Franziska Glassmeier, Jisk Attema, Victor Azizi, Masaki Satoh, Yousuke Sato, Hauke Schulz, Tobias Kölling
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract Small shallow cumulus clouds (
Externí odkaz:
https://doaj.org/article/190ee6e3fc404735a63f7fcd4ae5239c
Autor:
Fredrik Jansson, Gijs van den Oord, Inti Pelupessy, Johanna H. Grönqvist, A. Pier Siebesma, Daan Crommelin
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 9, Pp 2958-2979 (2019)
Abstract As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three‐dimensional LESs as a superparameterization that can replace all traditional parameterization
Externí odkaz:
https://doaj.org/article/9c6830fd2de948a78094b68b87d8d8ea
Autor:
Gijs van den Oord, Fredrik Jansson, Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, Pier Siebesma, Daan Crommelin
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100608- (2020)
We present a Python interface for the Dutch Atmospheric Large Eddy Simulation (DALES), an existing Fortran code for high-resolution, turbulence-resolving simulation of atmospheric physics. The interface is based on an infrastructure for remote and pa
Externí odkaz:
https://doaj.org/article/e5ec2d2e8d2245d395123bcd91b39e03
Autor:
Fredrik Jansson, Gijs van den Oord, Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, A. Pier Siebesma, Daan Crommelin
Publikováno v:
Journal of Advances in Modeling Earth Systems, 14(8), e2021MS002892.1-e2021MS002892.16
Journal of Advances in Modeling Earth Systems, 14(8)
Journal of Advances in Modeling Earth Systems, 14(8):e2021MS002892. Wiley-Blackwell
Journal of Advances in Modeling Earth Systems, 14(8)
Journal of Advances in Modeling Earth Systems, 14(8):e2021MS002892. Wiley-Blackwell
In atmospheric modeling, superparameterization (SP) has gained popularity as a technique to improve cloud and convection representations in large-scale models by coupling them locally to cloud-resolving models. We show how the different representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f5a75d15479d02c19c50dcb6add7a3d
http://www.scopus.com/inward/record.url?scp=85136938901&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85136938901&partnerID=8YFLogxK
