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- publication . Article . Preprint . Other literature type . 2022Open AccessAuthors:Xavier Yepes-Arbós; Gijs van den Oord; Mario Acosta; Glenn Carver;Persistent Identifiers
doi: 10.5194/gmd-2021-65
handle: 2117/363383
Publisher: Copernicus GmbHCountry: SpainProject: EC | PRIMAVERA (641727), EC | ESiWACE2 (823988)Earth system models have considerably increased their spatial resolution to solve more complex problems and achieve more realistic solutions. However, this generates an enormous amount of model data which requires proper management. Some Earth system models use ineffici...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Article . Preprint . 2021Open Access EnglishAuthors:Hannah M. Christensen; Oliver G. A. Driver;Persistent Identifiers
doi: 10.1029/2021gl095746
Project: EC | ESiWACE (675191), EC | ESiWACE2 (823988), UKRI | Reliable Climate Projecti... (NE/P018238/1)Clouds in observations are fractals: they show self-similarity across scales ranging from one to 1000 km. This includes individual storms and large-scale cloud structures typical of organised convection. It is not known whether global storm-resolving models reproduce th...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Other literature type . Preprint . Article . 2021Open Access EnglishAuthors:Jiawei Bao; Bjorn Stevens;Persistent IdentifiersProject: EC | ESiWACE2 (823988)
<p>Deep convection plays an important role in driving the large-scale circulation and the complex interaction between moist convection and the large-scale circulation regulates the thermodynamic structure of the tropical atmosphere.<span>&am...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Preprint . Article . 2021Open Access EnglishAuthors:Theresa Lang; Ann Kristin Naumann; Bjorn Stevens; Stefan A. Buehler;Persistent IdentifiersProject: EC | ESiWACE2 (823988), EC | ESiWACE (675191)
Reducing the model spread in free-tropospheric relative humidity (RH) and its response to warming is a crucial step toward reducing the uncertainty in clear-sky climate sensitivity, a step that is hoped to be taken with recently developed global storm-resolving models (...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Article . 2021Open Access EnglishAuthors:Christoph Heim; Laureline Hentgen; Nikolina Ban; Christoph Schär;Persistent Identifiers
handle: 20.500.11850/522036
Country: SwitzerlandProject: EC | CONSTRAIN (820829), EC | ESiWACE2 (823988)We analyze a multi-model ensemble at a convection-resolving resolution based on the DYAMOND models and a resolution ensemble based on the limited-area model COSMO over 40 days to study how tropical and subtropical marine low clouds are represented at a kilometer-scale r...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Preprint . Article . 2021Open Access EnglishAuthors:Jiawei Bao; Bjorn Stevens; Lukas Kluft; Diego Jiménez-de-la-Cuesta;Persistent IdentifiersProject: EC | ESiWACE2 (823988), EC | ESiWACE (675191)
Plain Language Summary: The tropical temperature structure is determined by regions with deep convection, which is believed to be moist‐adiabatic. However, both models and observations show that the temperature deviates from moist‐adiabats. This is because convective pa...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Article . 2021Open Access EnglishAuthors:Sam Hatfield; Matthew Chantry; Peter Dueben; Philippe Lopez; Alan J. Geer; Tim Palmer;Persistent Identifiers
doi: 10.1029/2021ms002521
Publisher: American Geophysical Union (AGU)Project: EC | ESiWACE2 (823988), EC | MAELSTROM (955513), EC | AI4Copernicus (101016798)Abstract We assess the ability of neural network emulators of physical parametrization schemes in numerical weather prediction models to aid in the construction of linearized models required by four‐dimensional variational (4D‐Var) data assimilation. Neural networks can...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Article . Preprint . 2021Open Access EnglishAuthors:Niraj Agarwal; Dmitri Kondrashov; Peter Dueben; E. A. Ryzhov; Pavel Berloff;Persistent Identifiers
doi: 10.1029/2021ms002537
Project: EC | MAELSTROM (955513), UKRI | NSFGEO-NERC: Multiscale S... (NE/R011567/1), EC | ESiWACE2 (823988), UKRI | NSFGEO-NERC: Collaborativ... (NE/T002220/1)We present a comprehensive inter-comparison of linear regression (LR), stochastic, and deep-learning approaches for reduced-order statistical emulation of ocean circulation. The reference dataset is provided by an idealized, eddy-resolving, double-gyre ocean circulation...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Article . Preprint . 2021Open AccessAuthors:Maike Sonnewald; Redouane Lguensat; Daniel C. Jones; Peter Dueben; Julien Brajard; Venkatramani Balaji;Persistent IdentifiersPublisher: IOP PublishingCountries: France, United KingdomProject: EC | MAELSTROM (955513), EC | ESiWACE2 (823988), UKRI | Advaenced state estimats ... (MR/T020822/1)
Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study. The incorporation of machine learning (ML) techniques offers exciting possibilities for advancing the capacity and speed of established methods...
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You have already added works in your ORCID record related to the merged research outcome. - publication . Preprint . Article . Other literature type . 2021Open Access EnglishAuthors:Matthew Chantry; Sam Hatfield; Peter Düben; Inna Polichtchouk; Tim Palmer;Persistent IdentifiersProject: EC | ITHACA (741112), EC | ESiWACE2 (823988), EC | ESiWACE (675191), EC | MAELSTROM (955513), EC | AI4Copernicus (101016798)
Abstract We assess the value of machine learning as an accelerator for the parameterization schemes of operational weather forecasting systems, specifically the parameterization of nonorographic gravity wave drag. Emulators of this scheme can be trained to produce stabl...
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You have already added works in your ORCID record related to the merged research outcome.