skip to main content
10.1145/2669711.2669933acmotherconferencesArticle/Chapter ViewAbstractPublication PagesteemConference Proceedingsconference-collections
research-article

Atmospheric physics group open data (GFA open data): meteorological data and tools for learning analytics

Published: 01 October 2014 Publication History

Abstract

1. Meteorological data is mainly obtained from forecasting and observation. Forecasting models provide information on the state of the atmosphere in the future, which has to be validated using data from observation systems. These include weather station networks, hail sensors, disdrometers, radiosondes, radar and satellites. The spatial and temporal heterogeneity of the data obtained means that it is very difficult to use it together in research projects.
2. Currently, there are no data repositories available to the scientific community that attempt to combine all of this information. Having all of this data in a single, accessible repository would represent a great step forward that would make it easier to develop tools for meteorological risk detection in real time, data assimilation and the real time validation of forecasting models, or simply for providing weather information to the general public.
3. The Atmospheric Physics Group from the University of León aims to develop a data repository with information from as many sources as possible that is available to anyone without restriction. At present, there are no repositories of this kind in Castile-León.

References

[1]
Schmetz, J. Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S., Ratier, A., (2002) An introduction to Meteosat Second Generation (MSG). Bull. Amer. Meteor. Soc., 79. 2457--2476.
[2]
Dudhia, J. (1993) A nonhydrostatic version of the Penn State-NCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front. Mon. Weather Rev, 121. 1493.1513.
[3]
Grell, G., Dudhia, J., Stauffer, D., (1995) A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5. Tech. Note NCAR/TN398+STR. 117pp.
[4]
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., Powers, J. G., (2005) A description of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN-4681STR, 88pp.
[5]
Merino, A., López, L., Sánchez, J. L., García-Ortega, E., Cattani E. and Levizzani V, (2014) Day-time identification of summer hailstorm cells from MSG data. Nat. Hazards Earth Syst. Sci., 14. 1017--1033.
[6]
Garcia-Ortega, E., Merino, A., López, L., Sánchez, J. L., (2013) Role of mesoscale factors at the onset of deep convection on hailstorm days and their relation to the synoptic patterns. Atmospheric Research, 114--115, pp 91--106.
[7]
Merino A., Guerrero-Higueras A. M., López L., Gascón E., Sánchez J. L., Lorente J. M., Marcos J. L, Matía P., Ortiz de Galisteo J. P., Nafría D., Fernández-González S., Weigand R., Hermida L., García-Ortega E., (2014) Development of tools for evaluating rainfall estimation models in realtime using the Integrated Meteorological Observation Network in Castilla y León (Spain). EGU General Assembly 2014. Geophysical Research Abstracts. 16, EGU2014-10234.
[8]
Guerrero-Higueras, A. M., Merino, A., López, L., Sánchez, J. L., Matellán, V., (2013) Identification of summer hailstorm from MSG data using Python. Third Symposium on Advances in Modeling and Analysis Using Python, AMS annual meeting, Austin, TX, EEUU.
[9]
Heinemann T., Lattanzio A., Roveda F., (2002) The Eumetsat multi-sensor precipitation estimate (MPE), in: Second International Precipitation Working group (IPWG) Meeting, September 2002, Madrid, Spain.
[10]
López, L., Sánchez, J. L., (2009) Discriminant methods for radar detection of hail. Atmos. Res., 92. 358--368.
[11]
ANECA, (2004) Libro blanco. Título de grado en Ciencias Ambientales. Madrid.

Index Terms

  1. Atmospheric physics group open data (GFA open data): meteorological data and tools for learning analytics

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      TEEM '14: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
      October 2014
      711 pages
      ISBN:9781450328968
      DOI:10.1145/2669711
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 October 2014

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. climatology
      2. meteorological data repository
      3. meteorology
      4. open data
      5. research support
      6. teaching support

      Qualifiers

      • Research-article

      Funding Sources

      • Regional Government of Castile-Leon

      Conference

      TEEM '14

      Acceptance Rates

      Overall Acceptance Rate 496 of 705 submissions, 70%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 64
        Total Downloads
      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 20 Feb 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media