Der Aufgabenschwerpunkt des FuE-Vorhabens liegt in der Entwicklung eines EDV Systems zur Verwaltung, Analyse, Ueberwachung und Darstellung aller raeumlichen und thematischen Daten der Deponie.
High-quality near-real time Quantitative Precipitation Estimation (QPE) and its prediction for the next hours (Quantitative Precipitation Nowcasting, QPN) is of high importance for many applications in meteorology, hydrology, agriculture, construction, water and sewer system management. Especially for the prediction of floods in small to meso-scale catchments and of intense precipitation over cities timely, the value of high-resolution, and high-quality QPE/QPN cannot be overrated. Polarimetric weather radars provide the undisputed core information for QPE/QPN due to their area-covering and high-resolution observations, which allow estimating precipitation intensity, hydrometeor types, and wind. Despite extensive investments in such weather radars, QPE is still based primarily on rain gauge measurements since more than 100 years and no operational flood forecasting system actually dares to employ radar observations for QPE. RealPEP will advance QPE/QPN to a stage, that it verifiably outperforms rain gauge observations when employed for flood predictions in small to medium-sized catchments. To this goal state-of-the?art radar polarimetry will be sided with attenuation estimates from commercial microwave link networks for QPE improvement, and information on convection initiation and evolution from satellites and lightning counts from surface networks will be exploited to improve QPN. With increasing forecast horizons the predictive power of observation-based nowcasting quickly deteriorates and is outperformed by Numerical Weather Prediction (NWP) based on data assimilation, which fails, however, for the first hours due to the lead time required for model integration and spin-up. Thus, RealPEP will merge observation-based QPN with NWP towards seamless prediction in order to provide optimal forecasts from the time of observation to days ahead. Despite recent advances in simulating surface and sub-surface hydrology with distributed, physicsbased models, hydrologic components for operational flood prediction are still conceptual, need calibration, and are unable to objectively digest observational information on the state of the catchments. RealPEP will prove that in combination with advanced QPE/QPN physics-based hydrological models sided with assimilation of catchment state observations will outperform traditional flood forecasting in small to meso-scale catchments.
General Information: Wildfire management requires the assessment of the fire danger, the expected fire behaviour and the possible impact of the fire as well. Six operational fire management modules (KEP) form the background of PROMETHEUS system. These are Prevention planning, Fuel management, Fire behaviour, Suppression management, Impact to soil and Effects to vegetation and ecosystem. In the frame of PROMETHEUS information system these modules are running independently or in integrated mode, for providing fire management assessments or support relative decision making. 'PROMETHEUS sv' proposal regards to the validation and improvement of PROMETHEUS system. Validation is intended as testing of the reliability and accuracy of the individual components and the operationality of the integrated system. Common experiments will be organised in different vegetation and soil types, under a variety of topographic and weather conditions. Each of the six modules of PROMETHEUS will be tested against actual data that will be obtained from laboratory, experimental and controlled fires. Selected real fires will be documented and used to complete models testing for scale and time periods that can not be covered by the experiments. Fire behaviour experiments will be recorded for data post-processing in order to validate the respective PROMETHEUS module. Soil properties and vegetation will be monitored before, during and after fire in a number of cases for testing the assessments of the relevant system's module. Operational tests of PROMETHEUS are planned in frame of the System Validation project in five European countries (France, Italy, Greece, Portugal and Switzerland) in co-operation with the competent authorities. Main objective of these tests is to familiarise operational people with fire management information systems and the ecological aspects of forest protection against fire. Improvements concern extension of the knowledge of the individual modules and the development of a reverse reasoning mode. This mode will allow the system to make suggestions of prevention and suppression measures that should be taken in order to obtain predefined management objectives. Prime Contractor: Algosystems SA, Applied Research Department; Piraeus; Greece.
Ziel:
Es soll ein Paradigmenwechsel weg von der reaktiven Gefahrenabwehr und Wiederherstellung hin zu einer Risikokultur eingeleitet werden. In dieser Kultur sollen Naturgefahren als normaler Bestandteil der Betriebsführung aufgefasst und Risikomanagement ein integraler Bestandteil der Arbeitsprozesse werden. Es soll WISSEN bereitgestellt, BEWUSSTSEIN geweckt und eine COMMUNITY OF PRACTICE als institutionenübergreifendes Netzwerk etabliert werden. Damit sollen auch Voraussetzungen geschaffen werden, bei Realisierung einer Europäischen 'Forest Risk Facility' eine erforderliche nationale Initiative zur Umsetzung der Ergebnisse auf Praktikerlevel anbieten zu können. WISSEN - Aktualisierung bereits bestehender Informationen zum Thema und Erarbeitung weiterer Themenfelder durch nutzergerechte Aufarbeitung von Wissen - Erweiterung des Angebots konkreter Handreichungen - Aufbau von Kompetenzen im Thema Risikomanagement BEWUSSTSEIN - Einleitung eines Kulturwandels hin zu einer Risikokultur - Sensibilisierung von Entscheidungsträgern für die Notwendigkeit der Einleitung von Adaptionsmaßnahmen - Thematisierung und damit Minderung der Adaptionshemmnisse COMMUNITY OF PRACTICE - Etablierung einer CoP Klimawandel und Transformation im Wald - Nutzung des Konzepts des sozialen Lernens zur Erhöhung der Umsetzungsbereitschaft - Einsatz der CoP-Mitglieder als Multiplikatoren und Experten im Falle naturaler Störungen Projektkoordination Geschäftsführung Projektbeirat Organisation / Geschäftsführung CoP, Netzwerkstreffen Multiplikatorentrainings Aufbereitung Inhalte Online-Handreichung Konzeption der Schulungen Konzeption Krisenkommunikation Forst Konzeption Rahmenwerk Risiko-Assessment und -Management Entwicklung Lehrangebote forstliche Ausbildung Konzept Bewusstseinswandel Konzept Einsatz neuer Medien im Kontext Klimawandel, Adaption und Risikomanagement.
The main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services.
EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and for the Integrated Administration and Control System (IACS) processes.
EO4AGRI works with farmers, farmer associations and agro-food industry on specifications of data-driven farming services with focus on increasing the utilization of EC investments into Copernicus Data and Information Services (DIAS).
EO4AGRI addresses global food security challenges coordinated within the G20 Global Agricultural Monitoring initiative (GEOGLAM) capitalizing on Copernicus Open Data as input to the Famine Early Warning System Network (FEW-NET).
EO4AGRI assesses information about land-use and agricultural service needs and offers to financial investors and insurances and the potential added value of fueling those services with Copernicus information.
The EO4AGRI team consists of 11 organizations, complementary in their roles and expertise, covering a good part of the value-chain with a significant relevant networking capital as documented in numerous project affiliations and the formal support declarations collected for EO4AGRI. All partners show large records of activities either in Copernicus RTD, governmental functions, or downstream service operations. The Coordinator of EO4AGRI is a major industrial player with proven capacities to lead H2020 projects.
The EO4AGRI project methodology is a combination of community building; service gap analysis; technology watch; strategic research agenda design and policy recommendations; dissemination (incl. organization of hackathons).