- Climate model selection via conformal clustering of spatial functional ...🔍
- [PDF] Climate model selection via conformal clustering of spatial ...🔍
- Review of Clustering Methods for Functional Data🔍
- A global climate model ensemble for downscaled monthly climate ...🔍
- A distribution|free technique for clustering and anomaly detection🔍
- Selecting GCM Scenarios that Span the Range of Changes in a ...🔍
- An analysis of the spatial heterogeneity of future climate change ...🔍
- Application to CMIP5 Climate Extremes Indices in🔍
[PDF] Climate model selection via conformal clustering of spatial ...
Climate model selection via conformal clustering of spatial functional ...
This paper proposes a new approach, using spatial functional data analysis, to asses which of the 18 EURO CORDEX simulation models work better for predicting ...
Climate model selection via conformal clustering of spatial functional ...
PDF | Climate model selection stands as a critical process in climate science and research. It involves choosing the most appropriate ...
[PDF] Climate model selection via conformal clustering of spatial ...
Climate model selection stands as a critical process in climate science and research. It involves choosing the most appropriate climate models to address ...
Climate model selection via conformal clustering of spatial functional ...
The method involves two key steps: first, using functional data analysis to process climate variables and select optimal models by a hierarchical clustering ...
Climate model selection via conformal clustering of spatial functional ...
AbstractClimate model selection stands as a critical process in climate science and research. It involves choosing the most appropriate climate models to ...
(PDF) Climate model genealogy - ResearchGate
2015). ... Climate model selection via conformal clustering of spatial functional data. Article. Full-text available. May 2024; ENVIRON ECOL ...
Climate model selection via conformal clustering of spatial functional ...
Abstract：Climate model selection stands as a critical process in climate science and research. It involves choosing the most appropriate climate models to ...
Review of Clustering Methods for Functional Data
Villani VRomano EMateu J(2024)Climate model selection via conformal clustering of spatial functional dataEnvironmental and Ecological Statistics10.1007 ...
A global climate model ensemble for downscaled monthly climate ...
... using the application to climate model ensemble selection described by Cannon (2015). ... Models are structured by a cluster dendrogram of spatial ...
A distribution-free technique for clustering and anomaly detection
Computer Science. View PDF on arXiv. Save to LibrarySave. Create AlertAlert ... Climate model selection via conformal clustering of spatial functional data.
Valeriy M., PhD, MBA, CQF on X: "'Climate model selection via ...
'Climate model selection via conformal clustering of spatial functional data' #conformalprediction.
Selecting GCM Scenarios that Span the Range of Changes in a ...
Clustering algorithms are, however, biased toward high-density regions of climate variable ... Also, scenarios selected via clustering may not be ordered ...
An analysis of the spatial heterogeneity of future climate change ...
Climate change impacts were assessed with different indicators estimated using numerical models. ... selection of multivariate clustering algorithms was ...
A distribution-free technique for clustering and anomaly detection
... select the number of clusters. Furthermore, thanks to the conformal prediction framework the resulting clustering model has a clear ...
Application to CMIP5 Climate Extremes Indices in - AMS Journals
Also, scenarios selected via clustering may not be ordered: that is ... space is primarily due to natural climate variability simulated by a single model.
Climate model Selection by Independence, Performance, and ...
with families of closely related models lying close together but with significant voids in-between model clusters” via em- pirical ...
Multi-scale climate modelling over Southern Africa using a variable ...
In this paper, we report on the application of such a var- iable-resolution global atmospheric model, the conformal- cubic atmospheric model (CCAM), across a ...
climate model for which the set of possible training points is very large. ... extreme events in coarse-scale climate simulations via machine learning ...
The stationarity hypothesis can be validated somewhat informally, using a perfect model ... (e) Cluster distances and normalized spatial mean of the cor-.
Available CRAN Packages By Name
absorber, Variable Selection in Nonparametric Models using B-Splines ; abstr, R Interface to the A/B Street Transport System Simulation Software ; abstractr, An R ...