Using Python dictionaries to generate coupled model diagnostics

Date and Time: 
2014 April 7th @ 3:15pm
CG1 Auditorium
Ernesto Munoz

To assess CESM coupled model development each CESM model component has a set of “standard” diagnostics that are extracted from the component's model data file. These diagnostic packages process dozens of fields and produce many plots and tables. It is therefore helpful for the software developer who develops or maintains these diagnostic scripts to minimize the reliance on field-specific coding and instead maximize the use of plot-type coding. One way to focus on plot-type coding is by using Python dictionaries in which values (such as units or contour levels) corresponding to a given field are stored separately from the plotting script. The successful implementation of Python dictionaries to generate different types of hundreds of plots with just a few main scripts will be shown in the context of the CESM ocean biogeochemistry model component.

Speaker Description: 

Dr. Ernesto Munoz is Associate Scientist in NCAR's Climate and Global Dynamics Division. His current focus is on the development of applications for the analysis of ocean biogeochemistry (in collaboration with Dr. Keith Lindsay). Ernesto was awarded a Ph.D. degree in Atmospheric and Oceanic Sciences from the University of Maryland at College Park. After graduation, he completed a Postdoctoral appointment at NOAA's Cooperative Institute for Marine and Atmospheric Studies.

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