Enhanced Data Exploration and Visualization Tool for Large Spatio-Temporal Climate Data
Links to Fileshttps://userpages.umbc.edu/~gobbert/papers/REU2016Team2.pdf
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Type of Work17 pages
RightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
SubjectsGraphical user interface (GUI)
Global Climate Models (GCM)
Missouri River Basin (MRB)
exploratory data analysis (EDA)
High Performance Computing Facilty (HPCF)
Predictions of climate variables like precipitation and maximum/minimum temperatures play crucial role in assessing the impact of decadal climate changes on regional water availability. This technical report describes a Graphical User Interface (GUI) called CMIViz developed as part of the 2016 REU program at UMBC. CMIViz is an R tool used for exploration and visualization of spatio-temporal climate data from the Missouri River Basin (MRB). The tool is developed using the R package `Shiny', which facilitates access on a web browser. Since prediction of precipitation is more challenging than the prediction of maximum/ minimum temperatures, CMIViz provides more visualization options for precipitation. Speci cally, the tool provides an easy intercomparison of data from the Global Climate Models (GCM): MIROC5, HadCM3, and NCAR-CCSM4 in terms of bias relative to the observed data, root mean-squared error (RMSE), and other measures of interest for daily precipitation. The tool has options to explore the temporal trends and autocorrelation patterns given a location and spatial patterns using contour plots, surface plots, and semivariograms given a time point. CMIViz also provides visualization of canonical correlation analysis (CCA) to help find similarities between the models.