Zobrazeno 1 - 10 of 82 pro vyhledávání: '"Anna Kwa"'
1
Akademický článek
Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation
Autor: Oliver Watt‐Meyer, Noah D. Brenowitz, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract Parameterization of subgrid‐scale processes is a major source of uncertainty in global atmospheric model simulations. Global storm‐resolving simulations use a finer grid (less than 5 km) to reduce this uncertainty by explicitly resolving
Externí odkaz: https://doaj.org/article/e8eeeac9be0a41338c896fabcc34c313
Zobrazit plný text záznamu
2
Akademický článek
Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection
Autor: Clayton Sanford, Anna Kwa, Oliver Watt‐Meyer, Spencer K. Clark, Noah Brenowitz, Jeremy McGibbon, Christopher Bretherton
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract Using machine learning (ML) for the online correction of coarse‐resolution atmospheric models has proven effective in reducing biases in near‐surface temperature and precipitation rate. However, ML corrections often introduce new biases
Externí odkaz: https://doaj.org/article/584587531857495799f951ea1bfd98ee
Zobrazit plný text záznamu
3
Akademický článek
Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle
Autor: Anna Kwa, Spencer K. Clark, Brian Henn, Noah D. Brenowitz, Jeremy McGibbon, Oliver Watt‐Meyer, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 15, Iss 5, Pp n/a-n/a (2023)
Abstract One approach to improving the accuracy of a coarse‐grid global climate model is to add machine‐learned (ML) state‐dependent corrections to the prognosed model tendencies, such that the climate model evolves more like a reference fine
Externí odkaz: https://doaj.org/article/09772585dee748f782ed267f024303ba
Zobrazit plný text záznamu
4
Akademický článek
Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations
Autor: Christopher S. Bretherton, Brian Henn, Anna Kwa, Noah D. Brenowitz, Oliver Watt‐Meyer, Jeremy McGibbon, W. Andre Perkins, Spencer K. Clark, Lucas Harris
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 14, Iss 2, Pp n/a-n/a (2022)
Abstract Global atmospheric “storm‐resolving” models with horizontal grid spacing of less than 5 km resolve deep cumulus convection and flow in complex terrain. They promise to be reference models that could be used to improve computationally a
Externí odkaz: https://doaj.org/article/29092340145144bfbb4ddce30ea9c04c
Zobrazit plný text záznamu
5
Akademický článek
Reconciling the Diversity and Uniformity of Galactic Rotation Curves with Self-Interacting Dark Matter
Autor: Tao Ren, Anna Kwa, Manoj Kaplinghat, Hai-Bo Yu
Publikováno v: Physical Review X, Vol 9, Iss 3, p 031020 (2019)
Galactic rotation curves exhibit diverse behavior in the inner regions while obeying an organizing principle; i.e., they can be approximately described by a radial acceleration relation or the modified Newtonian dynamics phenomenology. We analyze the
Externí odkaz: https://doaj.org/article/c38810bb703844afb921c89abaebeab8
Zobrazit plný text záznamu
6
Improving the reliability of ML-corrected climate models with novelty detection
Autor: Clayton Hendrick Sanford, Anna Kwa, Oliver Watt-Meyer, Spencer Koncius Clark, Noah Domino Brenowitz, Jeremy McGibbon, Christopher S. Bretherton
The use of machine learning (ML) for the online correction of coarse-resolution atmospheric models has proven effective in reducing biases in near-surface temperature and precipitation rate. However, this often introduces biases in the upper atmosphe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2870f70610b75c3736306a91b1a6da78
https://doi.org/10.22541/essoar.168500343.32924398/v1
Zobrazit plný text záznamu
10
Akademický článek
An Unusual Radiologic Image of Extensive Tumor Mass Infiltrating Hepatic Hilum without Signs of Cholestasis—A Case Report and a Literature Review of Non-Cancerous Lesions Mimicking Intrahepatic Cholangiocarcinoma
Autor: Jakub Ciesielka, Krzysztof Jakimów, Ida Cedrych, Anna Kwaśniewska, Jacek Pająk, Jerzy Chudek
Publikováno v: Current Oncology, Vol 31, Iss 8, Pp 4507-4518 (2024)
Background: Mass-forming intrahepatic cholangiocarcinoma (mICC) is the most frequent type of ICC. In contrast-enhanced computed tomography, mICC is visualized as a hypodense lesion with distal dilatation of intrahepatic bile ducts. The presented case
Externí odkaz: https://doaj.org/article/54771ad8d032457c9351281d7459294c
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje