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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... -
Proceedings of the 2020 Improving Scientific Software Conference
The Software Engineering Assembly (SEA) is a loosely structured group of software engineers and scientists who write scientific software, mostly but not only at NCAR and mostly... -
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... -
'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... -
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... -
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... -
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... -
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... -
A Statistical Investigation of the CESM Ensemble Consistency Testing Framework
Constant evolution and improvement of large scale climate simulation codes such as the Community Earth System Model (CESM) necessitate quality checks to verify the constitution... -
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... -
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... -
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... -
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... -
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... -
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... -
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).... -
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... -
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... -
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... -
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.]...
