large ensemble
Evaluating lossy data compression on climate simulation data within a large ensemble
... produces large datasets resulting from high-resolution runs and/or long timescales that strain NCAR storage ...CESM-Large Ensemble (LE) project (Kay et al., 2015), a large ensemble ...
23
A glacial systems model configured for large ensemble analysis of Antarctic deglaciation
... There are very few direct measurements of GHF for the AIS. Those that do exist are usually derived from direct temper- ature measurements in ice cores (Pattyn, 2010). As such, continental scale GHF reconstructions must ...
22
Leggett Garg inequality violations with a large ensemble of qubits
... for large N , it is difficult to a priori look at the LGI and argue that the violation arises due to the coherence between macroscopically distinct states ...N ensemble; namely, for measurement results ...
15
Future changes of hydroclimatic extremes in western North America using a large ensemble: The role of internal variability
... Although it is important to study the impacts of climate change on extreme events globally, it is also critical to characterize and determine changes in regional extreme events at a high spatial and temporal resolution ...
130
Future climate emulations using quantile regressions on large ensembles
... all ensemble members, but we ex- tend on that work to better fit extreme quantiles by model- ing them as exceedances over less extreme ...a large ensemble, using simpler func- tions with fewer ...
19
Nonlinear Markov games on a finite state space (mean field and binary interactions)
... our large ensemble), the corresponding limit becomes truly measure-valued controlled nonlin- ear evolution (controlled nonlinear Markov process) specified by kinetic equations of rather general ...
16
Potential Impacts of Anthropogenic Forcing on the Frequency of Tropical Depressions in the North Indian Ocean in 2018
... the large-ensemble experiments performed by NCAR CESM, made available from 1920 to 2100 at 6-hour and daily temporal ...CESM large-ensemble experiments, we did not use CMIP5 models based on ...
7
A method to encapsulate model structural uncertainty in ensemble projections of future climate: EPIC v1.0
... a large ensemble of pro- jections is many orders of magnitude more computationally efficient than running multiple GCM or RCM ...a large ensemble of projections permits a description of a ...
13
Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method
... The ensemble approach is naturally parallel over the ensemble ...the ensemble of simulations, and parallel dense linear algebra li- braries can be used; however, in high-dimensional systems or for a ...
15
Ensemble seasonal forecast of extreme water inflow into a large reservoir
... reproduces large ensemble of hydro- logical system responses to a lot of possible meteorological impacts, including those that did not recorded for the period of ...observations. Large-size ...
6
Evaluation of drought propagation in an ensemble mean of large scale hydrological models
... the large-scale models themselves; see input data in Table 1) and snow accumu- lation and melt (simulated by the large-scale ...the large-scale models, re- sults in a deviation in elevation between ...
22
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
... Apart from auxiliary network mimicking, we show that both network choice and initialization play a crucial role in prediction performance. The deepest network in the lit- erature is fewer than 10 layers (Bojarski et al. ...
8
FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING
... a large amount of, to look for patterns, construct structures or estimate parameters that can model a complex system where expert-based modelling is tedious or time consuming ...a large dataset of ...
11
Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models
... an ensemble method can clearly benefit from the use of a statistical test that validates it, regardless of the size of the validation data set or the nature of its component ...
13
Ensemble Semantics for Large scale Unsupervised Relation Extraction
... a large sample of triples with the assistance of a soft clustering algorithm, and found that around 22% of relation phrases can be put into at least 2 disjoint clusters that represent different ...
11
Multiphysics superensemble forecast applied to Mediterranean heavy precipitation situations
... multimodel ensemble and applied to rare and extreme events has not performed as expected, eventhough the superensemble has proved its value in previous studies dealing with ordinary ...multiphysics ensemble ...
7
Ensemble based Classification Techniques for Concept Drifting in Continuous Data Stream: A Survey
... Different ensemble based classifier systems such as Ensemble Building, Training the Dynamical Discriminative Model, Adaptive Ensemble Classifier, Online Bagging Algorithm, DWCDS: Double Window Based ...
7
Hyper resolution ensemble based snow reanalysis in mountain regions using clustering
... Aggregated series of observed and modelled fSCA are com- puted at the ERA grid level. This could equally be a hy- drological unit such as a basin. The main idea is to correct grid-level biases in the forcing only. If we ...
20
Properties of time averages in a risk management simulation
... the ensemble and the time ...a large sample setting, I find that the ensemble average leads an investor to buy zero put options and the time average leads them to buy a positive quantity of options; ...
11
Uncertainties in climate change projections and regional downscaling in the tropical Andes: implications for water resources management
... a large im- pact on water resources ...model ensemble, the regional climate model PRECIS does indeed capture local gradients better than global models, but locally the model is prone to large ...
12