Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Remo Dietlicher"'
Autor:
Marek Jacob, Dmitry Alexeev, Remo Dietlicher, Victoria Cherkas, Elsa Germann, Fabian Gessler, Daniel Hupp, Andreas Jocksch, Xavier Lapillonne, Christoph Müller, Carlos Osuna, Daniel Reinert, William Sawyer, Ulrich Schättler, Günther Zängl
Weather prediction centers are always looking for the best computational performance for their numerical weather prediction (NWP) model, given their financial budget. Over the last decades, most centers relied on computer systems with scalar x86 arch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ec684c48874244bb7bb7c2f9718730f
https://doi.org/10.5194/ems2022-138
https://doi.org/10.5194/ems2022-138
Autor:
Marco A. Giorgetta, William Sawyer, Xavier Lapillonne, Panagiotis Adamidis, Dmitry Alexeev, Valentin Clément, Remo Dietlicher, Jan Frederik Engels, Monika Esch, Henning Franke, Claudia Frauen, Walter M. Hannah, Benjamin R. Hillman, Luis Kornblueh, Philippe Marti, Matthew R. Norman, Robert Pincus, Sebastian Rast, Daniel Reinert, Reiner Schnur, Uwe Schulzweida, Bjorn Stevens
Publikováno v:
eISSN
Geoscientific Model Development, 15 (18)
Geoscientific Model Development
Geoscientific Model Development, 15 (18)
Geoscientific Model Development
Classical numerical models for the global atmosphere, as used for numerical weather forecasting or climate research, have been developed for conventional central processing unit (CPU) architectures. This hinders the employment of such models on curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc8d88901073b24bc297ecd598f38c7
https://doi.org/10.5194/egusphere-2022-152
https://doi.org/10.5194/egusphere-2022-152
Autor:
Robert Pincus, Sebastian Rast, Monika Esch, Luis Kornblueh, Xavier Lapillonne, Reiner Schnur, William Sawyer, Marco Giorgetta, Dmitry Alexeev, Philippe Marti, Valentin Clément, Remo Dietlicher
The ICON modelling framework is a unified numerical weather and climate model used for applications ranging from operational numerical weather prediction to low and high resolution climate projection. In view of further pushing the frontier of possib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0749b3e771c33ca1da4150070f3d60
https://doi.org/10.5194/egusphere-egu2020-10306
https://doi.org/10.5194/egusphere-egu2020-10306
Publikováno v:
Geoscientific Model Development, 11 (4)
Geoscientific Model Development, Vol 11, Pp 1557-1576 (2018)
Geoscientific Model Development, Vol 11, Pp 1557-1576 (2018)
A new scheme for stratiform cloud microphysics has been implemented in the ECHAM6-HAM2 general circulation model. It features a widely used description of cloud water with two categories for cloud droplets and raindrops. The unique aspect of the new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1422b1e0a517ccfa9f302cab2a98983d
https://www.geosci-model-dev.net/11/1557/2018/
https://www.geosci-model-dev.net/11/1557/2018/
A new instrument, the High Speed Particle Phase Discriminator (PPD-HS) developed at the University of Hertfordshire, for sizing individual cloud hydrometeors and determining their phase is described herein. PPD-HS performs an in-situ analysis of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89489bf7f6dea5b6bf11402951a05f32
https://www.atmos-meas-tech-discuss.net/amt-2019-36/
https://www.atmos-meas-tech-discuss.net/amt-2019-36/
Publikováno v:
Atmospheric Chemistry and Physics, 19 (14)
Cloud microphysics schemes in global climate models have long suffered from a lack of reliable satellite observations of cloud ice. At the same time there is a broad consensus that the correct simulation of cloud phase is imperative for a reliable as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a42f0aaba1ced1be413ff527ded036
Publikováno v:
Journal of Geophysical Research: Atmospheres, 123 (21)
Journal of geophysical research / D, 123 (21), 12,236–12,252
Journal of geophysical research / D, 123 (21), 12,236–12,252
Collisional charge transfer between graupel and ice crystals in the presence of cloud droplets is considered the dominant mechanism for charge separation in thunderclouds. According to the relative diffusional growth rate (RDGR) theory, the hydromete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42047d2a0a64ce91725721affb36347a