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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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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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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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A multi-resolution Gaussian process model for the analysis of large spatial data sets
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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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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'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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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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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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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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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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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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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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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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Applications of Statistics to Modeling the Earth's Climate System
Content: Application Of Statistics To Modeling The Earth's Climate System NCAR Colloquium - 6 to 19 July 1994 Statistical Science and Global Change Research /Jean Thiebaux...- 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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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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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...- 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 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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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
