Thomas Krennert: Human Weather- and Impact- Reports –
a Crucial Support to Mitigate Extreme Weather- and Climate- Impacts?
Presentation:
Slide A:
Facts of Slide A:
.) The actual weather related disaster risk is located at the intersection of three major components
.) Examples of each component, and overlapping attributes are shown
Links (Some Links are in German):
Hallein Flash Flood (in German)
World Meteorological Organization
WMO Guidelines on Multi-hazard Impact-based Forecast and Warning Services (WMO-No. 1150)
WMO and the Early Warnings for All Initiative
Global Status of Multi-Hazard Early Warning Systems 2023
Early Warnings for All Dashboard
Impact Based Weather Warnings Platform at GeoSphere Austria (former ZAMG)
European Impact Based Weather Warnings Platform METEOALARM
Slide B:
Facts of Slide B:
.) Given severe weather impacts, GeoSphere Austria is providing Impact Based Weather Warnings and Forecasts utilizing all available measurement and model data ...
.) ... warnings, advice and information is given to a multitude of stakeholders and customers ...
.) ... triggering various types of response to weather related impacts
.) but even our densely populated network of automated weather stations TAWES is not able to determine all weather impacts, e.g. storm damage, flooding, mud slides, hail size, ...
.) thus, alternative reliable information about the "ground truth" is needed, i.e. eyewitness reports, human weather- and impact reports
.) consequently, a real time feedback loop between disseminated GeoSphere multi hazard warnings and ground truth reports is established
Links:
National Crisis and Disaster Management (SKKM)
International Disaster Management
ERCC - Emergency Response Coordination Centre
Kaltenberger, R., Schaffhauser, A., and Staudinger, M.: “What the weather will do” – results of a survey on impact-oriented and impact-based warnings in European NMHSs, Adv. Sci. Res., 17, 29–38, https://doi.org/10.5194/asr-17..., 2020.
https://asr.copernicus.org/articles/17/29/2020/
Slide C:
Facts of Slide C:
.) GeoSphere Austria provides a web app for weather and impact reports and a two step training program within the framework of the TSN Trusted Spotter Network Austria
.) Since 2021 more than 120k reports have been issued to our database, about 80% of the ground truth information is provided by trained observers with higher reliability levels
.) the reports are utilized in a wide range of applications, either operationally in real time, or at a later time for scientific or evaluation and verification purposes - within GeoSphere and external collaborators, respectively
Links:
wettermelden.at Quick Guide
https://trustedspotter.eu/en/
GeoSphere Austria Severe Weather and Damage Database VIOLA
European Severe Storms Laboratory ESSL / European Severe Weather Database ESWD / European Weather Observer EWOB
https://www.essl.org/cms/european-severe-weather-database/
http://www.essl.org/cms/wp-content/uploads/20140509-ESWD_criteria.pdf
Slide D:
Facts of Slide D:
.) The national GeoSphere database of weather- and impact reports forms the center of the whole architecture
.) reports can be received either from our web app wettermelden.at, or from any other platform or app via a standardized API
.) the API enables real time data exchange to all levels of collaboration, nationally and internationally
.) IMPORTANT!: all partners can thus provide reporting capabilities from their own website or app, addressing their own community. This is possible without any interference to grown communities by an extrinsic app. All reports are still exchanged in real time between involved data bases
.) Example: SKYWARN Austria
.) Additional information about our Citizen Science program, organizational issues like workshops, community support and activities are operated via our outreach platform trustedspotter.eu
Links:
https://trustedspotter.eu/en/content-pages/wozu-wettermelden
Krennert, T., Pistotnik, G., Kaltenberger, R., and Csekits, C.: Crowdsourcing of weather observations at national meteorological and hydrological services in Europe, Adv. Sci. Res., 15, 71–76, https://doi.org/10.5194/asr-15..., 2018.
https://asr.copernicus.org/articles/15/71/2018/
Krennert, T., Kaltenberger, R., Pistotnik, G., Holzer, A. M., Zeiler, F., and Stampfl, M.: Trusted Spotter Network Austria – a new standard to utilize crowdsourced weather and impact observations, Adv. Sci. Res., 15, 77–80, https://doi.org/10.5194/asr-15..., 2018.
https://asr.copernicus.org/articles/15/77/2018/
Keul, A., Krennert, T. Kaltenberger, 2019: Wetterbegeisterung - Umfragen unter Profis, Amateuren und Allgemeinbevölkerung in Österreich, ÖGM Bulletin, 2019/2
https://www.meteorologie.at/#bulletin
Krennert, T. Kaltenberger, R., Spitaler, T., Schaffhauser, A., 2020: Das Trusted Spotter Network Austria und wettermelden.at – Crowdsourcing von menschlichen Wetter- und Impact- Meldungen, ÖGM Bulletin, 2020/1
https://www.meteorologie.at/#bulletin
Slide E:
Links:
WWRP 2024-2, HIWeather Crowdsourcing Guidance Note: Harnessing the Power of the Crowd
https://www.emetsoc.org/resources/best-practice/outreach-and-communication/
Austrian Citizen Science Platform
School Partner Program of wettermelden.at (in German)
thomas.krennert(at)geosphere.at
Up to date 241217