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P olar E xperiment N etwork for G eospace U pper-atmosphere In vestigations

P olar E xperiment N etwork for G eospace U pper-atmosphere In vestigations. Allan Weatherwax, Siena College. PENGUIn Science Team Lanzerotti, L J, New Jersey Inst. of Tech., Dept. of Physics, Newark, NJ Inan, U S, Stanford Univ., Dept. of Electrical Engineering, Stanford, CA

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P olar E xperiment N etwork for G eospace U pper-atmosphere In vestigations

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  1. Polar Experiment Network for Geospace Upper-atmosphere Investigations Allan Weatherwax, Siena College • PENGUIn Science Team • Lanzerotti, L J, New Jersey Inst. of Tech., Dept. of Physics, Newark, NJ • Inan, U S, Stanford Univ., Dept. of Electrical Engineering, Stanford, CA • Rosenberg, T J, Inst. for Physical Science and Tech., Univ. of Maryland, College Park, MD • Mende, S B, and Frey, H U, Space Sciences Lab, Univ. of California, Berkeley, CA • Engebretson, M J, Petit, N, Augsburg College, Minneapolis, MN • LaBelle, J, Dartmouth College, Dept. of Physics, Hanover, NH • Clauer, C R, Univ. of Michigan, Atmospheric, Oceanic and Space Sciences, Ann Arbor, MI • Fukunishi, H, Tohoku University, Dept. of Geophysics, Sendai, Japan We gratefully acknowledge support from the National Science Foundation

  2. All-Sky Imager VLF Receiver Imaging Riometer Fluxgate Magnetometer Search Coil Magnetometer LF/MF/HF Receiver Weather Station Others???

  3. Real-time Data Retrieval from Remote Antarctic Observatories using Iridium Communications Links Wind/solar-powered Automatic Geophysical Observatory (AGO) facility at site P1.

  4. Problem • Siena is a small liberal arts college that, in collaboration with other institutions including the University of Maryland and NJIT, has amassed two decades worth of polar geophysical data. They wanted to make the entire data set easily accessible to interested parties. Previously, researchers were required to send an email request to the investigators and wait until the request was fulfilled manually. • Solution • Siena College initiated the development an interactive of data portal. Costs were kept minimal by: • reusing legacy software, • leveraging open source software in a modular approach, • and where needed, developing custom software.

  5. Legacy Software Over the years, Siena College and the University of Maryland built an IDL library for accessing data and creating plots from their dataset. This library was leveraged for automatically generating plots, on demand, via the web portal. Custom Software The custom software written for this application can be split into three sections. First, the data needed to be indexed and loaded into the database; Second, the database needed to be efficiently searched to find requested data; lastly, retrieved data needed to be presented to the user.

  6. Open Source • Linux: Linux was chosen as the operating system for it's stability. • Apache: To make the entire application web accessible, a web server needed to be selected. Apache (http://www.apache.org) was used, as it is the most popular web server available, open source or otherwise. It is available for all popular platforms, so the possibility for scaling the portal up in the future was left open. • Python: Python (http://www.python.org), an open source, object oriented language was selected for it's ease of use, and for it's ability to be integrated with Apache to develop web applications. To perform this integration, the mod_python (www.modpython.org) Apache module, and it's PSP handler was used. • MySQL: In order to index the growing dataset efficiently, a database server was required. For this, we selected the open source MySQL (www.mysql.com). MySQL was selected for it's portability, it's speed, and it's ability to interact with the other open source packages selected for this application. • GDL: In an effort to use as much open source software as possible, GDL (GNU Data Language, (gnudatalanguage.sourceforge.net) was evaluated, but due to some incompatibilities, was not able to be used. IDL for linux was used instead.

  7. http://66.194.178.60/index.psp

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