IMDROFLOOD Project Updates and Meeting Preparations

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The IMDROFLOOD project is gearing up for the Evaluation Meeting in Larnaca, Cyprus in May 2018. Deliverables with deadlines before May include reports, drought indicators, sectorial indices, vegetation vulnerability assessments, and more. The project also outlines inputs for the upcoming JPI meeting, stakeholder engagements, capacity building activities, flood modeling requirements, and collaboration with a South African partner on NDVI/Drought issues.


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  1. 2ndIMDROFLOOD meeting 12th February 2018 Zaragoza (Spain)

  2. What we have to do in the near future Evaluation Meeting (Larnaca, Cyprus on 8 May 2018)

  3. Deliverables with deadline before May 2018 (month 23) Reports and action lists from annual partners meetings (CSIC) Drought indicators based on new observation networks and radars (CSIC) Integrated sectorial drought indices for drought monitoring (CSIC) Assessment of vegetation vulnerability to drought based on remote sensing images and hydro-ecological modelling (CSIC) Remote sensing indices to monitor droughts in the basins (FFCUL) A collection of maps on vegetation resistance and resilience to drought (FFCUL) Weather forecasting validated (MeteoGRID) A structured web site and a set of basic routines and guidelines for data integration and processing in the following tasks(Nat. Meteor. Adm.)

  4. INPUTS FOR THE 8th MAY JPI MEETING IN CYPRUS 5-10 slides by partner with explanations

  5. Stakeholders and capacity building Spanish basins: One stakeholder meeting in April with report Prutt? Emajogi? Capacity bulding? Tutorials? Courses? Ebro basin: one day course on drought indices with technical personnel of the Ebro basin water management agency. Next autumn. Prutt? Emajogi? Inputs by partners?

  6. List of requirements for the flood modelling. Netcdf files of drought variables and shapefiles to be included in the data portal. Moldova dataset?

  7. South African partner? NDVI/Drought in South Africa? To provide material to U. Tartu for the newsletters. To submit the different articles in which the IMDROFLOOD project appears in the acknowledgements to CSIC. Information of European/National/other projects you participate to justify cross-thematic research. Special issue? Dates and journals? South African partner? Imdroflood conference? Last annual meeting? Lisbon June 2018?

  8. From May 2018 to the end of the project

  9. Deliverables from May 2018 to July 2019 1. Integration of meteorological predictions in hydroecological modelling (June 2018) 2. Cross thematic research linkages with other EC projects documented (June 2018) 3. Development of software infrastructure to update real time information (July 2018) 4. Systems of monitoring and early warning of drought and flood forecasting for different catchments (June 2019) 5. Papers published in peer reviewed journals (June 2019) 6. Reports and action lists from annual partners meetings (June 2019) 7. Annual reporting (July 2019)

  10. Deliverables from May 2018 to July 2019 1. Open source hybrid model with IBER and DualSPHysics created (June 2018) 2. Flood prediction system (April 2019) 3. A model with a user-friendly interface to implement different construction solutions (May 2019)

  11. Deliverables from May 2018 to July 2019 1. Assessment of hydro-ecological models and remote sensing images to determine impact of vegetation on hydrological floods and droughts. (December 2018) 2. Response of hydrological droughts and floods to climate hazards depending on the different plant communities. (March 2019) 3. IMDROFLOOD conference held (June 2019)

  12. Deliverables from May 2018 to July 2019 1. Short and medium-term meteorological prediction system (June 2018)

  13. Deliverables from May 2018 to July 2019 1. Newsletters produced (June 2018 and June 2019)

  14. Deliverables from May 2018 to July 2019 1. IMDROFLOOD special issue (June 2019)

  15. Deliverables from May 2018 to July 2019 1. For each basin, capacity building sessions held and report produced (June 2018 and June 2019)

  16. Thanks for your attention

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