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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 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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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 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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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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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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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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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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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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'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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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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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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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 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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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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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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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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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
