The BINGO project has received funding from the European Union's Horizon 2020 Research and Innovation programme, under the Grant Agreement number 641739.

Deliverables

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Deliverables

Get access to the BINGO project outputs.

 

D2.1

 

Dynamical downscaling of European reanaysis to 12km and daily values for the period 1979/2014

The European Reanalysis project (ERA-Interim) data has been dynamically downscaled to a 0.11 degree resolution (about 12km) using the regional climate model COSMO-CLM. Those surface variables relevant for hydrological modelling (e.g. precipitation, temperature, wind, pressure, etc) have been bias corrected at the daily time scale and made available for use with hydrological models.

A web-based and on-demand extraction and conversion tool was set up, allowing the hydrological modelling groups to search and extract the data and then convert it to their needs.

This project deliverable (in particular, values for periods 2009-2015 and 1979-1989) can be made available upon request. If you’re interested in having access to the data, get in contact with us.

 

 

D2.2

 

Data downscaled to 12km/daily, Europe, for the period 2015-2024

This deliverable describes the decadal predictions (2015-2024) produced by WP2, to be subsequently used as input data for the hydrological models used in WP3. The data have been dynamically downscaled to a horizontal resolution of 0.11° (12 km) and are available at a daily frequency. As with all data produced in Work Package 2 (see, e.g., Deliverable 2.1), the data are available to all project partners via the online Freva portal, where the data is converted to a format suitable for specific hydrological models and the option of applying a bias correction to the data is also available.

 

 

D2.3

 

Definition of extremal circulation patterns, present climate

This deliverable addresses the issue of identifying large scale atmospheric patterns with high probability of producing extreme precipitation events for the RS. The Wupper catchment, located in West Germany, has been used in this text to exemplify the approach followed in WP2. The methods used here combine the definition of weather types based on a sophisticated clustering algorithm (Simulated ANnealing and Diversified RAndomisation, SANDRA) and a regression approach based on a logistic model (special case of generalized linear models, GLM). This combination exploits the benefits of including highly non-linear drivers of extreme precipitation via a discrete set of weather types and the flexibility of a generalized linear model to include continuous variables such as convectively available potential energy (CAPE), relative humidity and wind speed.

This revised version of the deliverable report has been amended to (i) take account of the latest status of the availability of the high-resolution test-simulations for the Tagus research site (page 6), which are now fully available, and (ii) to clarify that the Cyprus research site employs the same methodology for the identification of extremal weather patterns as the other research sites (page 10), albeit with a slightly different modelling strategy (page 6).

 

 

D2.4

 

Present climate extremal episodes downscaled to 2km/1h / maps of return levels

This deliverable provides two key results to the BINGO Research Sites’ modelling groups: a) spatial maps of return levels for extreme precipitation and b) ensembles of high-resolution regional climate model simulations for a resolution of 2.2km and 1 hour, carried out for a set of episodes in the recent climate period which are prone to extreme precipitation (extremal episodes). The regional climate model simulations were realised with the COSMO-CLM for all sites except Cyprus. The associated simulations for the Cyprus Research Site have been carried out with WRF and are presented in D2.5.

 

 

D2.6

 

Ensembles for decadal prediction extremal episodes downscaled to 3-1km/ 1h); Spatial stochastic precipitation generator for catchments

This deliverable consists of two components. First, a spatial stochastic precipitation generator is developed for the catchments. Second, extremal episodes are identified from the decadal predictions and downscaled with the COSMO-CLM to a resolution of 2.2-km and 1 hour for all sites except Veluwe (see changes with respect to the DoW) and Cyprus. The corresponding high-resolution downscaling for Cyprus is performed with WRF and presented in D2.7.

 

 

D2.7

 

Ensembles for decadal predictions extremal episodes downscaled to 1km1h for Cyprus research site

This deliverable is about the generation of high temporal and spatial resolution data for future extremal precipitation episodes (15 days duration). This was achieved by applying the dynamical downscaling method. Three extreme rainfall events over Cyprus were identified from the global MiKlip decadal prediction system. Then they were dynamically downscaled with the Weather Research and Forecasting model (WRF), for 15-day periods centred over the peak of each event. An ensemble set of five model configurations was used for the downscaling.

 

 

D2.8

 

Stochastic weather generator producing large ensembles for decadal predictions

This deliverable extends the stochastic precipitation generator built in D2.6 to a precipitation guided conditional stochastic weather generator. Given a set of driving variables (the conditions) from a large scale simulation and the precipitation fields (from D2.6), this generator is capable of simulating large ensembles of 2-dimensional fields of various climate variables requested by the research sites’ modelling groups at 1-km spatial resolution.

 

 

D2.9

 

Maps of IDF curves

This deliverable present return-levels for extreme precipitation events for the research sites Badalona, Bergen, Tagus and Wupper for various return-periods and event durations d (accumulation periods). These return-levels have been obtained based on a duration-dependent Generalized Extreme Value distribution (dd-GEV) with spatial covariates.

 

 

D3.1

 

Characterization of the catchments and the water systems

This deliverable evaluates the state of water resources (surface and groundwater, quantity and quality) at the six BINGO research sites. A consistent characterization of the catchments and surface, groundwater, and estuarine water bodies, including land use, pollution sources and anthropogenic water abstractions is included. It includes measured data, results from previous research, literature, knowledge. This document serves as an overview of all six BINGO research sites.

 

 

D3.2

 

Future Land and Water Use Scenarios

This document reports the future land and water use scenarios at the six BINGO research sites. The scenarios consist of qualitative developments, for each of two future scenarios Economy First and Sustainability Eventually, developed within SCENES at the research sites. These qualitative developments are then translated into quantitative land use and water use tables. Prior to the results, the scope and methodology are explained and justified in the respective chapters. The results from this deliverable will be used to analyze the effect of land and water use on the hydrology of the research sites, compared to the effects of extreme weather events.

 

 

D3.3

 

Calibrated water resources models for past conditions

This Deliverable presents the model applications at all six research sites. Special focus in this Deliverable is being paid to the modelling objectives, the model types, the data used and produced, the model results, as well as the model evaluation and discussion. D3.3 shows the wide variability of models developed and applied in order to bring innovation into water management practices. This is due to the fact that European water problems are diverse and BINGO aims at providing as many solutions as possible to mitigate those climate change related problems.

 

 

D3.4

 

Model results for water and land use scenarios at the six research sites completed and analysed
(26,7 MB)

More than 20 hydrological models have been to applied, driven with climatic decadal predictions until 2024. The model results focus on multiple water related problems and scales, such as flooding by combined sewer overflows in Badalona, Spain and Bergen, Norway, changes in groundwater recharge for drinking water abstraction in the Veluwe, the Netherlands, altered reservoir management in the Wupper river basin, Germany and in Bergen, Norway, flooding problems in Cyprus, and increasing salinization in Portugal. The model applications have also shown, that in some cases anticipated land use and water use changes can have large impacts on water resources, especially in combination with climate change effects, such as increases in floods and droughts. This deliverable also combines different bottom-up approaches on predicting short-term effects until 2024 by pointing out synergies between sites and methods.

 

 

D3.5

 

Improved model applications/descriptions based on field data

The aim of the BINGO field research was to improve our understanding of hydrologic processes and to integrate this knowledge in the hydrologic model applications at the six research sites. The field work observations were used for model calibrations (Troodos, Wupper, Badalona), validations (Tagus) and improvement of model input data (Veluwe). Field research methods and experience were exchanged between the research sites and valuable experience was gained by all project partners. The monitoring and analysis of water balance components led to an improved understanding of hydrologic processes and an improved capacity for the modelling of climate change impacts and adaptation options.

 

 

D3.6

 

Optimized water resources models as a support to management strategies

This report provides an overview of the benefit of the BINGO modelling approach for 14 sites in 6 countries. Even though the sites are diverse, as they each tackle different
water problems that are typical for Europe, the combination of bottom-up knowledge and data with top-down modelling strategies (climate change data, scenarios) has been successful. At the some of the sites individual models had already been implemented, but have been further developed or joined by additional models within BINGO. At other sites, models have been applied for the first time. Both cases have created additional knowledge about local processes and enabled water stakeholders to learn more about their resources, to peek into the near and distant future, and finally to adjust their management strategies according to model applications and results.

 

 

D4.1

 

Context for risk assessment at the six research sites, including criteria to be used in risk assessment

This deliverable aims at setting up a common and clear understanding of all important variables at each research site, taking into consideration the end user’s views for the choice of the criteria and methodologies to be used. This report will be the basis for the future development of the three steps of risk assessment that will be performed in WP4: risk identification (Task 4.2) and risk analysis and risk evaluation (Task 4.3), and provide important input and basic information about the research sites into the work done in WP5.

 

 

D4.6

 

Indicators of scenarios of risk caused by extreme weather events at the six research sites

Estimated the risk, this report establishes indicators of future changes appropriated for each research site. These changes refer to climate, hazard or vulnerabilities.

 

 

D5.1

 

Portfolio of Adaptation Measures

This document provides a guidance to the online Portfolio of adaptation measures that was developed within the BINGO project. It means to assist regional stakeholders with the development of local adaptation strategies. By linking adaptation measures to the risks identified at the research sites (which are: decreases in the availability and quality of fresh water due to droughts, (flash) floods and the risk of combined sewage overflow), the sectors primarily affected by these risks (Water Resource Management, Flood Management, Urban Drainage, Public Water Supply, Agriculture), and finally, the character of the adaptation measure (soft/structural), the Portfolio helps the stakeholders to find adaptation measures that are tailored to their specific needs and interests.

 

 

D5.2

 

Compilation report on initial workshops at the six research sites

This report gives a summary of the reports of the first two series workshops of the BINGO project. The workshops were held at the six research sites in month 8 and month 15 of the BINGO project. The first series of workshops focused in risk identification, while the second series had preparedness at the heart of the debate.

 

 

D5.4

 

Report on the assessment of the current governance situation and recommendations for improvement at the research sites using the three layer framework (part 1)

Deliverable 5.4 assesses the current policy and governance contexts for adaptation to climate change at the six BINGO research sites. For each research site, governance strengths and weaknesses are identified, based on which recommendation for improvement are offered. The report finds a common governance strength in a strong capacity to deal with existing water-related risks. For example, the Netherlands deals well with water safety risks, Cyprus has a clear policy framework on water scarcity and in the Norwegian city of Bergen, waste water risks are well managed. The downside of this focus on present-day risks is that new risks posed by climate change are insufficiently taken into account. Thus, health risks in Cyprus and the Netherlands and the risk of storm floods in Bergen remain largely untreated. The high degree of governmental fragmentation is identified as another common governance challenge. Because of this, information about the local water system is scattered and coordinative efforts, key to developing adaptation strategies, are hampered.

 

 

D6.5

 

Guidelines designed to create, feed and enhance “win-win” collaborations between researchers and stakeholders

This document was developed under WP 6 and based on experiences and reflections from the Communities of Practice (CoPs) in the Bingo project. The report details the learning outcomes and experiences from the CoPs at the 6 research sites. The 12 guidelines and 17 different tools presented in this report are based on the successes of the collaboration outcomes from the CoPs. The D6.3 and D6.6 reports from the BINGO project have also provided valuable and important input into the guidelines presented in this report.

 

 

D6.6

 

Interim portfolio of actionable research problems/challenges exploitation and development

This deliverable summarises the outcomes of the actionable research conducted between BINGO researchers and stakeholders. The actionable research labs accommodated in the M28 workshops enabled researchers and stakeholders to work together in real time, sharing their different experience and knowledge on the ‘unsolvable’ problems, identifying, prototyping and testing actionable solutions.

 

 

D6.7

 

Final portfolio of actionable research problems/challenges exploitation and development

In this report we see how the CoPs together with their actionable climate-water measures evolve in different ways at the six research sites. It summarizes the activities undertaken for problem-solving cooperation by the CoPs at the six research sites and reflects on successes and barriers for the implementation of actionable measures. The CoPs provided a forum to researchers and stakeholders to interact and co-produce knowledge, which was valuable for BINGO research but also for strengthening stakeholders’ capabilities to address climate change challenges, for increasing climate-water awareness and for operational research.

 

 

D7.6

 

Combined dissemination events report

This report was developed by SPI within WP7 - Dissemination, communication and exploitation. It contains a collection of all dissemination events held and attended by the BINGO partners on which the project was represented in any format, since July 2015 (the start of BINGO).

 

 

D7.7

 

First Version of the Exploitation Plan

This Exploitation Plan is grounded on the added value and data generated by the project to ensure maximum benefit from it. The Exploitation Plan contains a strategy for the exploitation of the project outputs and results, which is focused on concrete tools and activities to reach the target audiences in order to ensure that the project outputs and results are used in further activities. In addition, the Exploitation Plans contains the next steps that are foreseen to be implemented in order to ensure the exploitation of the project results during and after its life cycle.

 

 

D7.8

 

Final version of the Exploitation Plan

This document has been developed by SPI within Task 7.5 of WP7 – Dissemination, Communication and Exploitation. This Exploitation Plan is grounded on the added value and data generated by the project to ensure maximum benefit from it. The Exploitation Plan contains a strategy for the exploitation of the project outputs and results, which is focused on concrete tools and activities to reach the target audiences in order to ensure that the project outputs and results are used in further activities. In addition, the Exploitation Plans contains the next steps that are foreseen to be implemented in order to ensure the exploitation of the project results during and after its life cycle.

 

BINGO Partners

  

The BINGO project has received funding from the European Union's Horizon 2020 Research and Innovation programme, under the Grant Agreement number 641739.

 

The project is coordinated at European level by Laboratório Nacional de Engenharia Civil (LNEC, Portugal).

 

© 2017 Bingo. All rights reserved.

 

 

This website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

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