A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)
The paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a ‘digital twin’ and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made a...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/1/25 |
| _version_ | 1797431148696043520 |
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| author | Hans Jørgen Henriksen Raphael Schneider Julian Koch Maria Ondracek Lars Troldborg Ida K. Seidenfaden Søren Julsgaard Kragh Eva Bøgh Simon Stisen |
| author_facet | Hans Jørgen Henriksen Raphael Schneider Julian Koch Maria Ondracek Lars Troldborg Ida K. Seidenfaden Søren Julsgaard Kragh Eva Bøgh Simon Stisen |
| author_sort | Hans Jørgen Henriksen |
| collection | DOAJ |
| description | The paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a ‘digital twin’ and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made available from an HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges were addressed as part of the Joint Governmental Digitalization Strategy 2016–2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terabytes of hydrological model data to the portal, with robust calibration methods and hybrid machine learning (ML) being key parts of the deliverables. This paper discusses the challenges and potentials of further developing the HIP digital twin with ‘plug-in digital twins’ for local river basins, including feedback to the national level. |
| first_indexed | 2024-03-09T09:37:48Z |
| format | Article |
| id | doaj.art-6c4d3b7d12ac4fbbba65d5f45d469ae2 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T09:37:48Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-6c4d3b7d12ac4fbbba65d5f45d469ae22023-12-02T01:13:10ZengMDPI AGWater2073-44412022-12-011512510.3390/w15010025A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)Hans Jørgen Henriksen0Raphael Schneider1Julian Koch2Maria Ondracek3Lars Troldborg4Ida K. Seidenfaden5Søren Julsgaard Kragh6Eva Bøgh7Simon Stisen8Geological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkThe Danish Agency for Data Supply and Infrastructure (SDFI), Rentemestervej 8, 2400 Copenhagen, DenmarkGeological Survey of Denmark and Greenland, GEUS, Øster Voldgade 10, 1350 Copenhagen, DenmarkThe paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a ‘digital twin’ and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made available from an HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges were addressed as part of the Joint Governmental Digitalization Strategy 2016–2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terabytes of hydrological model data to the portal, with robust calibration methods and hybrid machine learning (ML) being key parts of the deliverables. This paper discusses the challenges and potentials of further developing the HIP digital twin with ‘plug-in digital twins’ for local river basins, including feedback to the national level.https://www.mdpi.com/2073-4441/15/1/25digital twinhazardvulnerabilityresilienceadaptive climate adaptationgroundwater |
| spellingShingle | Hans Jørgen Henriksen Raphael Schneider Julian Koch Maria Ondracek Lars Troldborg Ida K. Seidenfaden Søren Julsgaard Kragh Eva Bøgh Simon Stisen A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) Water digital twin hazard vulnerability resilience adaptive climate adaptation groundwater |
| title | A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) |
| title_full | A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) |
| title_fullStr | A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) |
| title_full_unstemmed | A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) |
| title_short | A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) |
| title_sort | new digital twin for climate change adaptation water management and disaster risk reduction hip digital twin |
| topic | digital twin hazard vulnerability resilience adaptive climate adaptation groundwater |
| url | https://www.mdpi.com/2073-4441/15/1/25 |
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