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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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Optimizing Genetic Algorithm Parameters for Atmospheric Carbon Monoxide Modeling
A main source of atmospheric carbon monoxide (CO) variability in the Southern Hemisphere is large burn events, making CO a useful proxy for fires. Therefore, predictive CO...- 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 error-...- 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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Proceedings of the 7th International Workshop on Climate Informatics: CI 2017
It has been the seventh International Workshop on Climate Informatics and we believe it had much success in accelerating discovery at the intersection of these disciplines. For...- 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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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
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Proceedings of the 8th International Workshop on Climate Informatics: CI 2018
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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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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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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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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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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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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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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'fieldsMAGMA': A MAGMA-accelerated extension to the 'fields' spatial...
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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A Statistical Investigation of the CESM Ensemble Consistency Testing...
Weather is the archetype for chaotic dynamical system. As such, improvements, updates, and modifications to large scale climate simulation demand there be quality checks in...- publication PDF
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regClimateChem: An R Package for Data Driven Variable Selection Applied to...
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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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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Spectral Estimation From Irregular Arrays
The problem of spectral estimation from data sampled at irregularly distributed measurement locations is considered from the point of view of an optimal fit of a spectral model...- 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