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'fieldsMAGMA': A MAGMA-accelerated extension to the 'fields' spatial statisti...
This report introduces the 'fieldsMAGMA' R package, an extension to the 'fields' package for spatial data analysis that is available on github. fieldsMAGMA uses the Cholesky...- publication PDF
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Confidence Intervals for Forecast Verification
The manuscript is an attempt to present in a single document the various types of confidence intervals, their assumptions, and other issues as they pertain to forecast...- publication PDF
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A Tutorial for Using 'Rmpi' on the NCAR/Wyoming Supercomputer
The recent growth in the size and complexity of climate data as well as the availability of cluster and supercomputing resources has brought parallel programming to the...- publication PDF
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in2extRemes: Into the R package extRemes. Extreme value analysis for weather ...
This document serves as a tutorial/manual for the R package in2extRemes, which provides point-and-click windows for the extRemes package (versions greater than or equal to 2.0)....- publication PDF
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Simulation Testbed for Trend Detection and Attribution Methods
The field of detection and attribution has been growing for a couple of decades and has recently seen a increase in the quantity and sophistication of methods. The difficulty of...- publication PDF
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Proceedings of the 6th International Workshop on Climate Informatics: CI 2016
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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A Kalman Filter to Improve Measurements of Wind from NSF/NCAR Research Aircraft
To improve the measurements of wind made from NSF/NCAR aircraft, a Kalman filter is developed and applied to archived data files from research projects. The filter is an...- publication PDF
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How long is long enough when measuring fluxes and other turbulence statistics?
We determine how long a time series must be to estimate covariances and moments up to fourth order with a specified statistical significance. For a given averaging time T there...- publication PDF
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Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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A multi-resolution Gaussian process model for the analysis of large spatial d...
A multi-resolution basis is developed to predict two-dimensional spatial fields based on irregularly spaced observations. The basis functions at each level of resolution are...- publication PDF
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Statistical Analysis of Compressed Climate Data
[Note: this Technical Note was updated on 2020-08-17 per the authors' request to correct an error. See the description of the change on page two of the document's front matter.]...- publication PDF
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Accelerating CMIP data analysis with parallel computing in R
In this Technical Note we examine eight schemes for parallelizing Extreme Value Analysis (EVA) on Coupled Model Intercomparison Project data via R foreach, doParallel, and doMPI...- publication PDF
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A User's Guide to PIKAIA 1.0
This user's guide, organized with a very brief review of the biological evolutionary process relevant to the understanding of genetic algorithms. While Chapter 2 is concerned...- publication PDF
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Quantifying the Spatial Structure of Tropical Cyclone Imagery
Tropical cyclones are highly organized, rotating storms which rank among the most costly natural disasters in the United States. The processes which drive intensification and...- publication PDF
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Method for Object-Based Diagnostic Evaluation
This technical note discusses the Method for Object-Based Diagnostic Evaluation (MODE), which is part of the Model Evaluation Tools (MET) verification software package. MODE is...- publication PDF
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Accelerating 'fields' by revamping the Cholesky Decomposition
The Geophysical Statistics project group within the Institute for Mathematics Applied to Geosciences (IMAGe) has been making use of Matrix Algebra on GPU and Multicore...- publication PDF
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MesoVICT: Mesoscale Verification Inter-Comparison over Complex Terrain
The spatial forecast methods intercomparison project (ICP, http://www.ral.ucar.edu/projects/icp) was formed in 2007 with the aim of better understanding the rapidly increasing...- publication PDF
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Two-dimensional kernel smoothing: Using the R package smoothie
Applying a kernel smoother to a two-dimensional field can be a laborious and computationally expensive process if carried out in the most obvious fashion (applying a double...- publication PDF
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regClimateChem: An R Package for Data Driven Variable Selection Applied to At...
Carbon monoxide (CO) is a major pollutant, impacting air quality and contributing to the greenhouse effect. Buchholz et al. [1] used a multiple linear regression model to link...- publication PDF
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The NCAR In Situ Turbulence Detection Algorithm
Historically, there has been one main source for routine turbulence observations for the aviation community, namely pilot reports. Although useful for tactical turbulence...- publication PDF
