Results 1 to 10 of about 1,036,303 (287)

How large does a large ensemble need to be? [PDF]

open access: yesEarth System Dynamics, 2020
Initial-condition large ensembles with ensemble sizes ranging from 30 to 100 members have become a commonly used tool for quantifying the forced response and internal variability in various components of the climate system. However, there is no consensus
S. Milinski, N. Maher, D. Olonscheck
doaj   +7 more sources

Nonclassical light from large ensemble of trapped ions [PDF]

open access: yesPhysical Review Letters, 2018
The vast majority of physical objects we are dealing with are almost exclusively made of atoms. Due to their discrete level structure, single atoms have proved to be emitters of light which is incompatible with the classical description of ...
Filip, Radim   +9 more
core   +3 more sources

Performance of Ensemble Kalman filters in large dimensions [PDF]

open access: yesCommunications on Pure and Applied Mathematics, 2017
Contemporary data assimilation often involves more than a million prediction variables. Ensemble Kalman filters (EnKF) have been developed by geoscientists.
Majda, Andrew J., Tong, Xin T.
core   +2 more sources

Large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble [PDF]

open access: yesEarth System Dynamics, 2021
Single model initial-condition large ensembles (SMILEs) are valuable tools that can be used to investigate the climate system. SMILEs allow scientists to quantify and separate the internal variability of the climate system and its response to external ...
N. Maher, S. Milinski, R. Ludwig
doaj   +4 more sources

The creative work of large ensembles [PDF]

open access: yes, 2017
Preparing large ensembles for performance involves musical, social, logistical and financial challenges of a kind seldom encountered in other forms of collective music-making.
Cottrell, S.J.
core   +4 more sources

GARD-LENS: A downscaled large ensemble dataset for understanding future climate and its uncertainties [PDF]

open access: yesScientific Data
This article introduces the Generalized Analog Regression Downscaling method Large Ensemble (GARD-LENS) dataset, comprised of daily precipitation, mean temperature, and temperature range over the Contiguous U.S., Alaska, and Hawaii at 12-km, 4-km, and 1 ...
Samantha H. Hartke   +5 more
doaj   +2 more sources

The KNMI Large Ensemble Time Slice (KNMI–LENTIS) [PDF]

open access: yesGeoscientific Model Development, 2023
Large-ensemble modelling has become an increasingly popular approach to studying the mean climate and the climate system’s internal variability in response to external forcing.
L. Muntjewerf   +4 more
doaj   +4 more sources

Ensemble Large Language Models: A Survey

open access: yesInformation
Large language models (LLMs) have transformed the field of natural language processing (NLP), achieving state-of-the-art performance in tasks such as translation, summarization, and reasoning.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +2 more sources

Seasonal variability of future extreme precipitation and associated trends across the Contiguous U.S.

open access: yesFrontiers in Climate, 2022
Global climate models and long-term observational records point to the intensification of extreme precipitation due to global warming. Such intensification has direct implications for worsening floods and damage to life and property.
Ishrat Jahan Dollan   +4 more
doaj   +1 more source

Large deviations for discrete β-ensembles

open access: yesJournal of Functional Analysis, 2022
We consider discrete $β$-ensembles as introduced by Borodin, Gorin and Guionnet in (Publications math{\' e}matiques de l'IH{\' E}S 125, 1-78, 2017). Under general assumptions, we establish a large deviation principle for their rightmost particle. We apply our general results to two classes of measures that are related to Jack symmetric functions.
Sayan Das, Evgeni Dimitrov
openaire   +3 more sources

Home - About - Disclaimer - Privacy