-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Incorporating MAGMA into the 'fields' spatial statistics package
In this report we describe how to incorporate the Cholesky decomposition from the Matrix Algebra on GPU and Multicore Architectures (MAGMA) library into some of the calculations...- publication PDF
-
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
-
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
-
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...- publication PDF
-
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
-
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
-
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
-
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
-
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
-
'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
-
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
-
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
-
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
