This document describes the GFA Open Data repository, which contains meteorological data from various sources to support research and education. The repository collects data from weather stations, risk management organizations, volunteers, and the Atmospheric Physics Group. It uses a data model and architecture to organize the data and make it accessible. The document highlights several research and educational applications that analyze hail, satellite-derived precipitation, and weather forecast model output using the repository. It concludes that the repository is a powerful research tool and has high potential to support meteorology teaching.
IReact for climate change: predictive mappingSpeck&Tech
This talk introduces you to IReact, a European project aiming to create a system for disaster risk reduction. You will be shown some hazard models, targeting for example heat waves in Europe. We will then move to ClimAtlas, an open-source repository for climate data in Trentino.
IReact for climate change: predictive mappingSpeck&Tech
This talk introduces you to IReact, a European project aiming to create a system for disaster risk reduction. You will be shown some hazard models, targeting for example heat waves in Europe. We will then move to ClimAtlas, an open-source repository for climate data in Trentino.
Tropical and winter storms can cause widespread damage to electric distribution networks. These distribution networks are mostly above ground and are exposed to direct damage from severe weather conditions associated with these storms. For example, during winter storms, the combined stress of the weight of ice, the increased wind resistance of the conductors, and broken tree limbs can damage lines, poles, and support structures. The goal is to develop a model to predict electric power outages in near-real time when severe storm conditions are forecasted. This is especially important as predicting power outages during hurricanes is one with important practical ramifications. As part of this work, we will address the problem of forecasting power outages knowingly only information about the incoming hurricane and basic environmental, social, and economic indicators in the affected areas. These data are available and uniformly measured across the US, making for a scalable model. Moreover, we will explore data driven approaches, using standard prediction metrics to evaluate performance of flexible machine learning techniques.
The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
Weather prediction technology is a global, big data enterprise. This talk will describe the huge quantities of information that make modern weather prediction possible, from satellite and radar data to surface observations and the output from numerical weather prediction models. The role of smartphones and other mobile devices for distributing forecasts and weather information will be discussed and the future of weather prediction will be outlined.
Pan_European and pan-African Early Warning on Floods and Droughts: From the E...Global Risk Forum GRFDavos
Pan_European and pan-African Early Warning on Floods and Droughts: From the European Flood Alert System (EFAS) and European Drought Observatory (EDO) towards a pan-African early warning system
Three most recent Unmanned Aerial Vehcles for Weaher MonitoringMrinmoy Majumder
The UAV applications in weather monitoring are increased and in the future as many places in the Earth is slowly becoming inaccessible to human being due to climate change and its impacts like wildfire, flood, etc. This video shows the three most recent use of UAV in weather monitoring.
Provenance, from the French word “provenir”, describes the lineage or histo-ry of a data entity. Provenance is critical information in the sensors domain to identify a sensor and analyze the observation data over time and geographical space. In this paper, we present a framework to model and query the provenance information associated with the sensor data exposed as part of the Web of Data using the Linked Open Data conventions. This is accomplished by developing an ontology-driven provenance man-agement infrastructure that includes a representation model and query infrastructure. This provenance infrastructure, called Sensor Provenance Management System (PMS), is underpinned by a domain specific provenance ontology called Sensor Provenance (SP) ontology. The SP ontology extends the Provenir upper level provenance ontology to model domain-specific provenance in the sensor domain. In this paper, we describe the implementation of the Sensor PMS for provenance tracking in the Linked Sensor Data.
Authors - Harshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth
A number of government, corporate, and academic
organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by
publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Authors - Harshal Patni, Cory Henson, Amit Sheth
* First attempt on Linked Sensor Data
Tropical and winter storms can cause widespread damage to electric distribution networks. These distribution networks are mostly above ground and are exposed to direct damage from severe weather conditions associated with these storms. For example, during winter storms, the combined stress of the weight of ice, the increased wind resistance of the conductors, and broken tree limbs can damage lines, poles, and support structures. The goal is to develop a model to predict electric power outages in near-real time when severe storm conditions are forecasted. This is especially important as predicting power outages during hurricanes is one with important practical ramifications. As part of this work, we will address the problem of forecasting power outages knowingly only information about the incoming hurricane and basic environmental, social, and economic indicators in the affected areas. These data are available and uniformly measured across the US, making for a scalable model. Moreover, we will explore data driven approaches, using standard prediction metrics to evaluate performance of flexible machine learning techniques.
The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
Weather prediction technology is a global, big data enterprise. This talk will describe the huge quantities of information that make modern weather prediction possible, from satellite and radar data to surface observations and the output from numerical weather prediction models. The role of smartphones and other mobile devices for distributing forecasts and weather information will be discussed and the future of weather prediction will be outlined.
Pan_European and pan-African Early Warning on Floods and Droughts: From the E...Global Risk Forum GRFDavos
Pan_European and pan-African Early Warning on Floods and Droughts: From the European Flood Alert System (EFAS) and European Drought Observatory (EDO) towards a pan-African early warning system
Three most recent Unmanned Aerial Vehcles for Weaher MonitoringMrinmoy Majumder
The UAV applications in weather monitoring are increased and in the future as many places in the Earth is slowly becoming inaccessible to human being due to climate change and its impacts like wildfire, flood, etc. This video shows the three most recent use of UAV in weather monitoring.
Provenance, from the French word “provenir”, describes the lineage or histo-ry of a data entity. Provenance is critical information in the sensors domain to identify a sensor and analyze the observation data over time and geographical space. In this paper, we present a framework to model and query the provenance information associated with the sensor data exposed as part of the Web of Data using the Linked Open Data conventions. This is accomplished by developing an ontology-driven provenance man-agement infrastructure that includes a representation model and query infrastructure. This provenance infrastructure, called Sensor Provenance Management System (PMS), is underpinned by a domain specific provenance ontology called Sensor Provenance (SP) ontology. The SP ontology extends the Provenir upper level provenance ontology to model domain-specific provenance in the sensor domain. In this paper, we describe the implementation of the Sensor PMS for provenance tracking in the Linked Sensor Data.
Authors - Harshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth
A number of government, corporate, and academic
organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by
publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
Authors - Harshal Patni, Cory Henson, Amit Sheth
* First attempt on Linked Sensor Data
Presentation by Kjeld Loozen (Reimer IT Solutions B.V.) in the context of ECO webinars on Sustainable business models for MOOCs: the need for cross-institutional cooperation, 28 September 2016
Do we need a shared European MOOC platform?Tiago Santos
Presentation for the "Do we need a shared European MOOC platform?" paper in the HOME (http://home.eadtu.eu/) MOOC Conference "Mapping the European MOOC territory", Porto Nov 27th 2014.
MOOC Piattaforme digitali per la gestione del territorio - 1.1Alessandro Bogliolo
Schemi e grafici di supporto alla unit 1.1
MOOC: http://platform.europeanmoocs.eu/course_piattaforme_digitali_per_la_ge
Video-lezione: https://youtu.be/otuEAy2SZS8
Presentation for the meeting of the Master programs supervisors at dept of economics of BSEL (11 Nov). The media samples: you'll find them all here: https://tackk.com/t1q4j0
Trends and issues in open educational resources and massive open online coursesAva Chen
The Internet revolution has facilitated the concept of openness now more than ever. A number of current technologies support the paradigm of modern education in terms of creation, communication, and collaboration. Various open educational learning resources, tools, and pedagogical approaches are used in teaching and learning. Open educational resources (OERs) is one of examples that represent a global phenomenon in an innovation approach that promote unrestricted access as a possible solution for bridging the knowledge divide in higher education. OERs open up opportunities to create, share, and facilitate learning and ethical practice by creating, using, and managing by offering a wider array of educational resources among a greater diversity of global learners. Its trends and movements have become more prominent as not only a phenomenon but as a way of improving the quality of education. OERs alone are not sustainable on their own dimension. It has to combine concepts from different inter-disciplinary areas such as education for sustainable development and business perspectives. Therefore, this seminar focuses on the discussion of current trends, issues, and example of current global practices of OERs and MOOCs.
TRACKING ANALYSIS OF HURRICANE GONZALO USING AIRBORNE MICROWAVE RADIOMETERjmicro
There is a huge consideration in the use of microwave airborne radiometry for remote sensing instead of satellite, the important role of airborne way is how to provide high accuracy real time data. The airborne hurricane tracking is an important method compared with the space borne method, which is developed by NASA Marshall Space Flight center to provide high resolution measurements. By flying special aircraft equipment using synthetic thinned array radiometry technology and included all critical measurements such as hurricane eye location, speed of wind and the pressure. This paper describes the data analysis of best track positions for Hurricane Gonzalo based on the date collected by airborne microwave radiometry. Significant analysis comes from comparing the airborne data with the surface observations from ship reports. The vast majority is to estimate peak intensity and minimum central pressure of Gonzalo from 12 to 19 October 2014, based on blend of SFMR flight-level winds and pressure retrievals from observing brightness temperatures. SFMR: Stepped-Frequency Microwave Radiometer is a highly developed tool developed by the Langley Research Center that is designed to measure the wind speed at the ocean’s surface, and the rain fall rates within the storm accurately and continuously. The work also addresses the realistic details of the locations and the valuable information about the pressure and wind speed, which is very critical to predict the growth and movement to get the idea for future monitoring of the hurricane disasters. Also presents a conceptual of step frequency microwave radiometer in airborne side. The objective of this research is tracking analysis techniques based on comparing the satellite, ship and airborne reports to get higher accuracy. The system operates at four spaced frequencies in the range between 4 GHz and 7 GHz provides wide measurements between ± 45 incidence angle. Gonzalo 2014 is an example; the best results of retrieved wind speed, locations and pressure are presented. There are several national projects have been developed for earth observation, such as fire, hurricane and border surveillance. In this work, the efficient high resolution techniques of C-band, four-frequency, the work also addresses a valuable information comes from the airborne system and the prediction way of the growth and movement of hurricanes. In passive microwave remote sensing from space at C band has the penetrating advantages of atmosphere. Airborne system is able to work in full Polari-metric in four bands, C, X, S, L and P-band, which cover the wavelengths from 3 to 85 cm. The modes of measurement contain single channel operation wavelength and polarization.
An Attempt To Use Interpolation to Predict Rainfall Intensities tor Crash Ana...IJMERJOURNAL
ABSTRACT: This study uses different interpolation techniques to predict rainfall intensity at locationsthat are not directly located near a rainfall gauges. The goal of being able to interpolate the rainfall intensity is to study its impact on traffic crashes. To perform the study, a collection of rainfall gauges in Alabama were used as subject locations where rainfall intensity was predicted from surrounding gauges, while also providing validation data to compare the predictions. Essentially, the actual rainfall intensities at existing gauges were interpolated using nearby gauges and the results were analyzed.The interpolation techniques used in the study included proximal, averaging and a distance weighted average. The results of the study indicated that none of the interpolation methodologies were sufficient to accurately predict the rainfall intensity values any significant distance from the actual gauges.
Using Satellite Imagery To Better Plan, Monitor and Measure Interventions UN Global Pulse
An information brief by the UN Innovation Network (UNIN) which provides an introduction to satellite imagery and highlights how different UN Agencies are already using satellite imagery in their work, incl. monitoring water quality, creating population maps, mapping schools, and monitoring asset and engineering projects.
Identification of disaster-affected areas using exploratory visual analysis o...Valentina Cerutti
Presentation of the paper "Identification of disaster-affected areas using exploratory visual analysis of georeferenced Tweets: application to a flood event" at the 19th AGILE International Conference on Geographic Information Science held in Helsinki in June 2016
This presentation was given at the International Conference on Information Systems for Crisis Response and Management (ISCRAM) held in Rochester, NY, USA.
Citation: Horita, F. E. A., Vilela, R. B., Martins, R. G., Bressiani, D. A., Palmas, G., De Albuquerque, J. P. Determining flooded areas using crowd sensing data and weather radar precipitation: a case study in Brazil. 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Rochester, NY, USA, 2018. [PDF]
DSD-INT 2019 Adding value and user context - WernerDeltares
Presentation by Micha Werner, Deltares & IHE Delft, at the Delft-FEWS User Days, during Delft Software Days - Edition 2019. Thursday, 7 November 2019, Delft.
Researchers at the Desert Research Institute (DRI) are exploring ways in which unmanned aircraft systems are increasingly being used in civilian government work as well as the private sector for use in applications as diverse as cloud seeding to fighting forest fires.
The Role of DAta for Climate Monitoring and PredictionNAP Events
Presentation by: Stefan Rösner
4.1 Climate services in support of NAPs
This event will bring together experts involved in the provision of climate services and testimony from countries of how climate services are being used to support decision-making and effective adaptation. The event will start with brief statements, and will be followed by a panel discussion, where participants from the floor will have the opportunity to engage the panelists with questions or comments. The panel will demonstrate the practical benefits of climate services in support of climate risk management and adaptation to climate variability and change. It will also provide lessons learned through various activities being implemented at regional and national level.
Track 4. New publishing and scientific communication ways: Electronic edition, Information metrics and digital educational resources
Authors: Antonio Jose Rodrigues Neto, Maria Manuel Borges and Licinio Roque
Track 15. Communication, Education and Social Media
Authors: Rafael Galán-Arribas, Francisco-Javier Herrero-Gutiérrez, Cruz-Alberto Martínez-Arcos and Sonia Casillas-Martín
Track 15. Communication, Education and Social Media
Authors: Diego Cachón, Juan José Igartua, Magdalena Wojcieszak, Iñigo Guerrero and Isabel Rodríguez-de-Dios
Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18)
Authors: Andrea Vázquez-Ingelmo, Francisco José
García-Peñalvo and Roberto Theron
https://youtu.be/4T87QwwQSgQ
Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18)
Authors: Alicia García-Holgado and Francisco José García Peñalvo
https://youtu.be/e1etRHqIjCo
Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18)
Authors: Joaquín Gayoso-Cabada, Mercedes Gómez-Albarrán and José-Luis Sierra
https://youtu.be/Um3MxZP79_s
Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18)
Authors: Mary Sánchez-Gordón and Ricardo Colomo-Palacios
https://youtu.be/W6oAObExar8
Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18)
Authors: Joaquín Gayoso-Cabada, Antonio Sarasa-Cabezuelo and José-Luis Sierra
https://youtu.be/_-kkPLGPPPI
Track 13. Uncertainty in Digital Humanities
Author: Amelie Dorn, Eveline Wandl-Vogt, Thomas Palfinger, Jose Luis Preza Diaz, Barbara Piringer, Alexander Schatek and Rainer Zoubek
More from Technological Ecosystems for Enhancing Multiculturality (20)
Applying Commercial Computer Vision Tools to Cope with Uncertainties in a Cit...
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
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.