A-DROP 
Alpine DROught Prediction
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Outcomes

Overview

Factsheet

  • 2021 – 2027
  • Climate resilient and green Alpine region
  • SO 1.1 - Promoting climate change adaptation and disaster risk prevention, resilience, taking into account eco-system based approaches
    • 2.444.365 EUR
    • 1.833.274 EUR

    Partners

    Eurac Research (Lead partner)
    • Lead partner
    • Italy
    • Provincia Autonoma di Bolzano/Bozen (ITH1)
    • Bolzano Bozen
    Slovene Chamber of Agriculture and Forestry - Institute of Agriculture and Forestry Maribor
    • Slovenia
    • Vzhodna Slovenija (SI03)
    • Maribor
    Abest-Horizon
    • France
    • Rhône-Alpes (FRK2)
    • Meylan
    Federal Institute for Geology, Geophysics, Climatology and Meteorology
    • Austria
    • Wien (AT13)
    • Vienna
    Ludwig-Maximilians-Universitaet Muenchen
    • Germany
    • Oberbayern (DE21)
    • Munich
    Functional Center and Planning of Aosta Valley (EWS bureau)
    • Italy
    • Valle d’Aosta/Vallée d’Aoste (ITC2)
    • Aosta Aoste
    CIMA Research Foundation
    • Italy
    • Liguria (ITC3)
    • Savona
    National Research Institute for Agriculture, food and environment
    • France
    • Rhône-Alpes (FRK2)
    • Saint-Martin-d’Hères CEDEX
    Technical University of Munich
    • Germany
    • Oberbayern (DE21)
    • Munich
    Technical University of Vienna
    • Austria
    • Wien (AT13)
    • Vienna
    University of Ljubljana
    • Slovenia
    • Zahodna Slovenija (SI04)
    • Ljubljana
    • 46.494530211.3472734
    • 46.56576984999999515.640955072680951
    • 45.2077100000000065.7958039289256185
    • 48.24862595000000516.356562264678487
    • 48.147607811.5640961
    • 45.73685187.3221999
    • 44.29971698.4516977
    • 46.6033541.8883335
    • 48.1490727511.567444920339295
    • 48.1985396516.369861676286614
    • 46.04898975000000414.503956692895823

    Outcomes


    • Historical datasets of spatially distributed hydrological variables and drought indices over the Alps

      1. Historical datasets including 3 high-resolution hydrological variables: snow water equivalent (SWE), soil moisture (SM), and evaporation (E) from satellite and climate data. 2. Drought indices derived from the anomalies of SWE, SM, and E. O1.1 is functional for the pilots in WP2. Preliminary data with partial spatial-temporal coverage, focusing on the pilots’ areas, delivered by RP 3 with technical specifications.

    • High-resolution Alpine-wide seasonal and sub-seasonal forecasts

      Alpine-wide fields of relevant meteorological variables for the hydrological models on a regular grid, downscaled from ECMWF’s IFS and SEAS5 forecasts for lead times from two weeks up to several months on a daily base as input to hydrological models. O1.2 is functional for the pilots in WP2. Preliminary data delivered by RP 3 with technical specifications.

    • High-resolution Alpine-wide climate projections

      Long-term datasets of essential climate variables in high spatio-temporal resolution from regional climate model ensembles, representing various scenarios (SSP1-26, SSP3-70) and covering two time horizons in the near (2031-2050) and mid-future (2051-2070). These datasets inform adaptation planning and characterize future climate extremes. O1.3 is functional for the pilots in WP2. Preliminary data delivered by RP 3 with technical specifications.

    • Development of drought management tools in three pilots covering the sectors agriculture, hydropower production, and winter tourism, exploiting OI 11, OI 12, and OI 13 data as input

      Drought risk management tools, using WP1 outputs, implemented in 3 pilots for 3 sectors: 1. Agricultural drought management tool for SI and irrigation decision support tool tested in real-life farming situations (SI). 2. Hydropower plant management tool for the Upper Isar (DE/AT) under drought conditions. 3. Climate service enabling sustainable use of water with current and future snow management practices (IT, FR, DE). (KGZS, UL, TUM, Abest-Horizon, INRAE, with contribution of WP1 PPs)

    • Two drought early warning and prediction tools developed and validated in pilots 4 (Valle d’Aosta) and 5 (Trento Province)

      Two distinct hydrological drought early warning and prediction tools, developed utilizing data from WP1, validated via hindcast experiments in two Italian pilot regions: Valle d’Aosta (Pilot 4, VDA), and the Trento Province (Pilot 5, TN), where the regional administration is actively pursuing the implementation of drought alert systems (A2.4). Leveraging WP1 data, O2.2 tools are transferable to other Alpine regions. (CIMA, EURAC, and CFVDA with the contribution of WP1 PPs)

    • A-DROP interoperable database, improved ADO platform, and data management plan

      1. Climate and hydrological data O1.1, 1.2, and 1.3 openly accessible through the open-source ADO platform (https://ado.eurac.edu/) following FAIR data principles. 2. ADO platform significantly enriched with A-DROP prediction tools, high-resolution data sets, and new functionalities to make full use of the high-resolution data. 3. Data management plan (A3.5) (EURAC with all PPs)

    • A-DROP sectorial tools for drought risk management

      Multi-sectoral solutions generated from the pilots O2.1 improving drought risk management in hydropower production, winter tourism, and agriculture. An associated work plan 1. enables tool adoption and 2. offers technical services to facilitate the on-the-ground implementation of the designed solutions (A3.2, A3.3). (KGZS, UL, TUM, Abest-Horizon, INRAE, with the contribution of WP1 PPs)

    • Drought early warning and prediction tools and upscaling strategies

      1. Proof of concept for hydrological drought prediction models, developed and validated in O2.2 pilots, with a feasibility analysis for their operational adoption and strategies for upscaling to an Alpine-wide prediction system post-project. 2. Drought risk management online platform for Valle d’Aosta validated by public administrations and operationalized, with technical evaluation of its transfer to the Trento and Bolzano Provinces. (CIMA, EURAC, and CFVDA with WP1 PPs)