Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and tools for learning analytics
•
1 j'aime•545 vues
A.M. Guerrero-Higueras, Laura López, Vicente Matellan, Andrés Merino and José Luis Sánchez.
Recommandé
Recommandé
Contenu connexe
Tendances
Tendances (20)
En vedette
En vedette (20)
Similaire à Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and tools for learning analytics
Similaire à Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and tools for learning analytics (20)
Plus de Technological Ecosystems for Enhancing Multiculturality
Plus de Technological Ecosystems for Enhancing Multiculturality (20)
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and tools for learning analytics
- 1. GFA Open Data Atmospheric Physics Group Open Data: Meteorological data and tools for learning analytics A.M. Guerrero-Higueras, A. Merino, L. López, V. Matellán-Olivera and J.L. Sánchez. October 2014
- 2. Introduction I Meteorological data is mainly obtained from forecasting and observation. I Forecasting models provide information on the state of the atmosphere in the future... I ... which has to be validated using data from observation systems: I Weather station networks, hail sensors, disdrometers, radiosondes, radar and satellites Problems I Researchers need data in order to contrast their hypothese. I The spatial and temporal heterogeneity of the data obtained. Objetive To develop a data repository with information from as many sources as possible that is available to anyone without restriction.
- 3. Data collection Location of SAIH Duero, SAIH Ebro and ITACyL weather stations MSG data image Total precipitation from WRF model forecast 1. Risk management bodies I SAIH Duero I SAIH Ebro I ITACyL 2. Volunteers I Weather stations I meteorological events observation 3. APG data I Hail sensor network I MSG data I WRF model forecasts
- 4. Data model DATA MODEL OVERVIEW
- 6. Research applications 1. Hail Precipitation Evaluation Application Weather radar image Hail estimation using the APG’s hail probability algorithm. 2. Satellite Precipitation Evaluation Application Precipitation intensity estimate using the MPE algorithm between 14.00 hrs and 23.00 hrs UTC on 1 May, 2014. The areas shaded in blue show the zones with a precipitation intensity of more than 1mm/h. MPE algorithm evaluation using data from GFA Open Data. Areas in red correspond to hits by the algorithm, areas in blue are false alarms, and areas in green are lost cases. Rainfall in Castile-León between 14.00 hrs and 23.00 hrs UTC on 1 st May, 2014. Areas shaded in blue shows the zones with a precipitation intensity of more than 1mm/h.
- 7. Educational oportunities 3. WRF precipitation evaluation tool WRF precipitation evaluation: Surface temperature comparison (top) and total precipitation comparison (bottom) I Meteorology & Climatology I Making weather forecasts in a given location 4. WRF precipitation evaluation tool. I Atmospheric Observation and Surveillance I Risk management. I Monitoring a meteorological risk in detail. 1. Hail Precipitation Evaluation Application. 2. Satellite Precipitation Evaluation Application.
- 8. Conclusions I GFA Open Data has proved to be a powerful tool to support the work of researchers, and the APG has used it successfully in its research projects: 1. Hail Precipitation Evaluation. 2. Satellite Precipitation Evaluation. 3. WRF precipitation evaluation. I GFA Open Data also has a high potential for as a support tool for teaching meteorology: I The three applications mentioned above allow us to make a meteorological data analysis from GFA Open Data information for teaching purposes. I They also makes it easier to evaluate students’ knowledge acquisition and to analyse global results.