Computation, Analysis and Visualization of In-Situ and Remote Sensing Data using Python
Scientists at the Cooperative Institute for Climate and Satellites (CICS), located within NCDC, have begun to address these concerns using the Python open source language. Here we will present advancements and challenges of utilizing climate data through packages such as NumPy, SciPy, MPI, and matplotlib. Projects include time series analysis of surface temperature observations, visualization of weather and climate data to meet sector needs, storage of large datasets into user-friendly formats such as CF compliant netCDF, and traceability through metadata tracking. Performance will be compared with conventional languages to demonstrate Python's speed and efficiency. We hope these practices will create a center-wide awareness of utilizing the power of Python in NCDC processing.