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PRINCIPAL INVESTIGATORS (PI)
Chief Scientist at Prediction Science Laboratory
RIKEN Cluster for Pioneering Research.
PROJECT MANAGERS
Dr. Luciano Vidal (SMN) and Dr. Juan Ruiz (CIMA)
WORKING PACKAGES (WP)
Hydrometeorological monitoring system
Objective: to expand current hydro-meteorological monitoring capabilities over the target basin and integrate different observation sources.
Coordinators:
Dr. Miyoshi Takemasa (RIKEN)
Dr. Luciano Vidal (SMN)
Eng. Ms. Mariano Re (INA)
Multi-sensor Quantitative Precipitation Estimates and nowcasting
Objective: to develop and test novel techniques for the quantitative estimation of precipitation based on different information sources. It will also focus on the short range forecasting of precipitation based on extrapolation techniques.
Coordinators:
Dr. Tomoo Ushio (U. Osaka)
Dr. Miyoshi Takemasa (RIKEN)
Dr. Paola Salio (CONICET)
Dr. Luciano Vidal (SMN)
Big data assimilation and numerical weather prediction system
Objective: to focus on the development and implementation of novel data assimilation and ensemble based numerical weather prediction approaches to provide accurate short range precipitation forecasts over the target basins.
Coordinators:
Dr. Miyoshi Takemasa (RIKEN)
Dr. Hirofumi Tomita (RIKEN)
Dr. María Eugenia Dillon (SMN)
Dr. Manuel Pulido (CONICET)
Hydrological forecasting system
Objective: to develop and evaluate novel hydrological forecasting approaches including a quantification of the forecast uncertainty over the target basins.
Coordinators:
Dr. Tomoki Ushiyama (ICHARM)
Eng. Msc. Mariano Re (INA)
Dr. Carlos Marcelo García (CONICET)
Data and Warning dissemination system
Objective: to focus on the development of a web-portal and cell-phone app to efficiently communicate forecasts and warnings to emergency managers, decision makers and the general public.
Coordinators:
Dr. Miyoshi Takemasa (RIKEN)
Ms. Daniela D’Amen (SMN)
Dr. Milagros Alvarez Imaz (SMN)
Working with vulnerable communities
Objective: to conduct activities with different actors such as schools, social organizations to increase the awareness of the population regarding flash floods with particular emphasis on the most exposed people.
Coordinators:
Dr. Miyoshi Takemasa (RIKEN)
Msc. Daniela D’Amen (SMN)
Eng. Msc. Mariano Re (INA)
Professional and Scientific Capacity building
Objective: to foster activities such as short courses, workshops, meetings and long term training and capacity building in topics related to the project.
Coordinators:
Dr. Miyoshi Takemasa (RIKEN)
Dr. Romina Mezher(SMN)
Dr. Manuel Pulido (CONICET)
IMPLEMENTATION CHART
This project includes the operational implementation of the early-warning systems enabling several mitigation actions as schematized in Figure 1.
Longer range meteorological forecasts (up to 3 days in advance) and based on numerical weather prediction will allow preparation actions (e.g. preparation of shelter, population awareness). Short range hydro-meteorological forecasts (up to 12 hours in advance) will provide information to decide whether evacuation should begin. This information will protect the most vulnerable people. These forecasts will intensively use data from remote sensors and numerical weather and hydrological prediction. Uncertainty about these forecasts will also be provided in real time. Forecast and warnings will be timely disseminated through the web-portal and cell-phone app. Frequent updates of the forecasts will be also continuously communicated to decision makers, emergency managers and the public through these tools.
Figure 1: Schematic representation of how the tools implemented in PREVENIR will help to reduce the impact of flash-floods.
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