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Global change impacts on groundwater and water supply –
an integrated modelling study from southern Germany
Roland Barthel1, Tim G. Reichenau2, Markus Muerth3, Christoph Heinzeller3, Karl Schneider2, Rolf
Hennicker4, Wolfram Mauser3, Tatjana Krimly5, Michael Elbers6, Anja Soboll7, Johann
Wackerbauer8, Stephan Janisch4, Stephan Dabbert5, Jürgen Schmude7, Andreas Ernst6
1 Department

of Earth Sciences, University of Gothenburg,

Sweden
2 Hydrogeography

and Climatology, University of Cologne, Germany
Geography and Remote Sensing, Ludwig-MaximiliansUniversity Munich, Germany
4 Institute of Informatics, Ludwig-Maximilians-University Munich,
Germany
5 Institute for Farm Management, Universität Hohenheim, Germany
6 Center for Environmental Systems Research, University of Kassel,
Germany
7 Economic Geography and Tourism Research, Ludwig-Maximiliansof Munich, Germany
8 CESifo Group, Center for Economic Studies, Munich, Germany
3 Physical

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

1
Literature
This presentation tried to summarize very briefly a few selected aspects from a large scale
integrated research effort. It might be difficult to understand the scope and objectives based on
the slides without further explanations.

•

The presentation was largely based on the papers:
–
–

Barthel, R., Janisch, S., N. Schwarz, A. Trifkovic, D. Nickel, C. Schulz, W. Mauser (2008): An integrated modelling
framework for simulating regional-scale actor responses to global change in the water domain. Environmental Modelling
and Software, 23, 1095-1121 (doi:10.1016/j.envsoft.2008.02.004)

–

•

Barthel, R., Reichenau T., Krimly, T., Dabbert, S., Schneider, K., Mauser, W. (2012) Integrated modeling of climate
change impacts on agriculture and groundwater resources. Water Resources Management, 26,7, 1929-1951

Barthel, R. (2011): An indicator approach to assessing and predicting the quantitative state of groundwater bodies on the
river basin scale with a special focus on the impacts of climate change. Hydrogeology Journal (2011) 19,3: 525–546.
DOI: 10.1007/s10040-010-0693-y

Other directly related papers:
–

Barthel, R., Janisch, S., Nickel, D. & Trifkovic, A. (2010): Using the Multiactor-Approach in GLOWA-Danube to Simulate
Decisions for the Water Supply Sector under Conditions of Global Climate Change. – Water Resources Management,
24,2, 239-275 (DOI - 10.1007/s11269-009-9445-y)

–

Barthel, R. Rojanschi, Wolf, J. & Braun, J. (2005): Large-scale water resources management within the framework of
GLOWA-Danube. Part A: The groundwater model. - Physics and Chemistry of the Earth, 30, 6-7, 2005, Pages 372-382

–

Barthel, R., Jagelke, J., Gaiser, T., Printz, A. & Götzinger, J. (2008): Aspects of choosing appropriate concepts for
modelling groundwater resources in regional Integrated Water Resources Management – Examples from the Neckar
(Germany) and Ouémé catchment (Benin). - Physics and Chemistry of the Earth, 33, 1-2, 92-114

–

Soboll, A, Elbers, M., Barthel, R., Schmude, J., Ernst A., Ziller, R. (2011): Scenarios of future water demand: Regional
scale modelling of the human-environment-system to support decision making under global change conditions. Mitigation
and Adaptation Strategies for Global Change 16,4 (2011) 477-498. - DOI: 10.1007/s11027-010-9274-6.

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

2
Climate Change  Global Change

European, national and federal state directives

Data source: State Environmental Agency Baden-Württemberg

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

3
Global Change – Example: Agriculture - Groundwater
Drivers: Changes
of outer Conditions

Processes, Budget and Property
Changes
Water
Balance

Climate

Changes of: Ecological
and Economical States

GW-Recharge

GW-Quantity

Plant
Growth
Policy / Water
Law

Product Prices
/ Agricultural
Policy

Legend

Irrigation

Crop Yields

N-Fertilization

GW-Quality

Land use

Farmers’
Income

Farmers’
Decisions

main direction of dependency
strong
medium
weak

foremost gw-quantity
related dependency

foremost gw-quality
related dependency

dependency related to both gw-quantity and gw-quality
dependency
indirect or complex or not well understood dependency

Source: Barthel et al. (2012)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

4
Global Change – Example: Agriculture - Groundwater
Scenarios

Models
Water
Balance

Climate

Indicators
GW-Recharge

GW-Quantity

Plant
Growth
Policy / Water
Law

Product Prices
/ Agricultural
Policy

Legend

Irrigation

Crop Yields

N-Fertilization

GW-Quality

Land use

Farmers’
Income

Farmers’
Decisions

main direction of dependency
strong
medium
weak

foremost gw-quantity
related dependency

foremost gw-quality
related dependency

dependency related to both gw-quantity and gw-quality
dependency
indirect or complex or not well understood dependency

Source: Barthel et al. (2012)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

5
GLOWA-Danube (www.glowa-danube.de; 2001 - 2010)
“Integrative Techniques, Scenarios and Strategies for the Future of
Water in the Upper Danube Basin”

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

6
GLOWA-Danube – The Upper Danube Catchment
Upper Danube Catchment:
• Area: 77,000 km²
• Population: 11.5 Mio.
• Elevation: 290 to ~4000 m
Rivers
Lakes
Alluvium
Moraines

Tertiary Sediments
Calcareous Alps
Jurassic Karst
Mesozoic Rocks
Crystalline and
Palaezoic Rocks

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

7
GLOWA-Danube: Project Summary

•

Consequences of Global Change in the Upper Danube Catchment

•

Interdisciplinary Approach: 18 research groups from different disciplines

•

Integrated decision support tool ‘DANUBIA’, comprised of 16 fully
coupled models

•

Contribution of our research group (IWS Stuttgart):
– Hydrogeological assessment
– Models for groundwater flow and contaminant transport
– Model for water supply and distribution

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

8
The DANUBIA Simulation System

From: Hennicker et al. (2010)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

9
GLOWA-Danube Global Change Scenarios 2011-2060
Choice 1:
Climate Trends

Choice 2:
Climate Type

IPCC regional

Baseline

Baseline

REMO regional

5 warm Winters

Open competition

MM5 regional

Trend Extrapolation

5 hot Summers

Choice 3:
Social Trends

Choice 4:
Interventions

Information
Cooperation
Subsidies for
Water saving techn.

Public welfare

5 dry years

Build reservoirs

...

•

Baseline: Business as usual

•

Open competition: maximizing individual profit, less consideration
of environmental and social aspects

•

Public welfare: high value of environmental aspects

From: Global Change Atlas of the Upper Danube Catchment (2011)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

10
Climate Change – Past Observations: Temperature (1960-2006)
Winter Temperatures: + 1.5 degrees
Summer Temperatures: + 2 degrees

Source: Global Change Atlas of the Upper
Danube Catchment

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

11
Climate Change – Past Observations: Precipitation 1960-2006
Summer Precipitation

Winter Precipitation

Source: Global Change Atlas of the Upper
Danube Catchment

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

12
Simulation results: Groundwater recharge and groundwater levels

Recharge Differences [mm]
< -600
-600 - -301

a)

Günzburg

GW-Level-Differences
(combined) [m]

b)

< -10
-9.9 - -5.0

-300 - -201

-4.9- -2.0

-200 - -101

-1.9- -1.0

-0.9 - 0.9

-100 - -51

1.0 -1.9

-50 - 50

2.0-4.9

51 - 100
101 - 200

5.0 - 9.9

Ostallgäu

>10

>200

Scenario 2036-2060 minus
Reference (1970-2000)

nicht modellierte
Areas not modeled
Bereiche
with MODFLOW

Scenario 2011-2035 minus
Reference (1970-2000)

From: Barthel et al. (2012)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

13
Human response to groundwater change - simulating human decisions
g
GWL Open Competition

600

430

500

429

400

428

300

427

200

426

100

425
424

0
2016

2021

2026

2031

2036

2041

2046

2051

2056

GWL Open Competition

600

734

500

733

400

732

300

731

200

730

100

729

0

728
2011

Barthel et al.

Günzburg district
Danube low lands,
arable land,
wide alluvial aquifers

GWR low pass filtered

GWL Baseline Ostallgäu

Groundwater Recharge [mm/a]

GWR

2016

2021

2026

2031

2036

2041

2046

2051

Groundwater Level [m.a.s.l.]

2011

Groundwater Level [m.a.s.l.]

GWR, low pass filtered

GWL Baseline Günzburg

Groundwater Recharge [mm/a]

GWR

Ostallgäu district
pre-alpine, grassland, narrow alluvial
and tertiary aquifers

2056

Grundvattendagarna 16-17 oktober 2013 i Lund

14
Adaptation (decision making): example groundwater changes (on district level)
g
GWL Open Competition

600

430

500

429

400

428

300

427

200

426

100

425

0

424
2016

GWR

2021

2026

2031

2036

2041

2051

2056

GWL Open Competition

600

734

500

733

400

732

critical

Everything is fine

300

200
Groundwater Quantity
100
Indicator (“Flag”)

731
730

1

2

3

729

0

728
2011

2016

Günzburg district
Danube low lands,
arable land,
wide alluvial aquifers

Translation into “decision relevant information”
GWR low pass filtered

GWL Baseline Ostallgäu

Groundwater Recharge [mm/a]

2046

2021

2026

2031

2036

2041

2046

Groundwater Level [m.a.s.l.]

2011

Groundwater Level [m.a.s.l.]

GWR, low pass filtered

GWL Baseline Günzburg

Groundwater Recharge [mm/a]

GWR

2051

Ostallgäu district
pre-alpine, grasscatastrophic
land, narrow alluvial
and tertiary aquifers

4

5

2056

Barthel (2011), Hydrogeology Journal

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

15
Modelling of human decisions : Actor Modelling
Barthel, R., et al. (2008), Environmental Modelling and Software,

at each time step (1 month)

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

16
Example (schematic): Decisions made by Water Supply Companies

Models
GroundwaterFlow; Soil,
groundwaterlevel,
groundwater recharge,
-baseflow

WaterSupply-Model
Assessment of state
and previous
development

Barthel et al.

<=2

Buisness as
usual

Flag values
>=3

Grundvattendagarna 16-17 oktober 2013 i Lund

Information campaigns,
expansion of resources,
crisis management

17
Modeling of human decisions : Water Supply

• Decisions (choosing a plan and its actions) based on:
– local conditions (hydrogeology, groundwater levels…) 
indictors (flags)
– individual preferences and properties and
– global settings  Societal Scenarios

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

18
Water Demand and Withdrawal [m3/s]

Industrial Groundwater Demand [m3/s]

Responses of the human actors: Household Water Demand

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

19
Conclusions

•

Global Change impact assessment:
– Needs to be done in an integrated way: people and the environment will adopt
to change
– Needs to be done on the regional scale
– Requires reasonable integrated scenarios, i.e. combined environmental-socioeconomic scenarios

•

The DANUBIA system comprises all this, but:
– It is a complex system that requires experienced users and has high
computational demands
– It requires lots of input data

•

Climate change impact assessment on water resources
– Requires much better regional projections of precipitation!
– Purely scientific approaches to integrated modeling are probably not the ideal
solution

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

20
More information
•

DANUBIA is available under an open source license

•

All models, scenarios, data sources and many results are
published in the Global Change Atlas of the Upper Danube
Catchment, available also in English shortly at:

www.glowa-danube.de

Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

21
Barthel et al.

Grundvattendagarna 16-17 oktober 2013 i Lund

22

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Global change impacts roland barthel

  • 1. Global change impacts on groundwater and water supply – an integrated modelling study from southern Germany Roland Barthel1, Tim G. Reichenau2, Markus Muerth3, Christoph Heinzeller3, Karl Schneider2, Rolf Hennicker4, Wolfram Mauser3, Tatjana Krimly5, Michael Elbers6, Anja Soboll7, Johann Wackerbauer8, Stephan Janisch4, Stephan Dabbert5, Jürgen Schmude7, Andreas Ernst6 1 Department of Earth Sciences, University of Gothenburg, Sweden 2 Hydrogeography and Climatology, University of Cologne, Germany Geography and Remote Sensing, Ludwig-MaximiliansUniversity Munich, Germany 4 Institute of Informatics, Ludwig-Maximilians-University Munich, Germany 5 Institute for Farm Management, Universität Hohenheim, Germany 6 Center for Environmental Systems Research, University of Kassel, Germany 7 Economic Geography and Tourism Research, Ludwig-Maximiliansof Munich, Germany 8 CESifo Group, Center for Economic Studies, Munich, Germany 3 Physical Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 1
  • 2. Literature This presentation tried to summarize very briefly a few selected aspects from a large scale integrated research effort. It might be difficult to understand the scope and objectives based on the slides without further explanations. • The presentation was largely based on the papers: – – Barthel, R., Janisch, S., N. Schwarz, A. Trifkovic, D. Nickel, C. Schulz, W. Mauser (2008): An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain. Environmental Modelling and Software, 23, 1095-1121 (doi:10.1016/j.envsoft.2008.02.004) – • Barthel, R., Reichenau T., Krimly, T., Dabbert, S., Schneider, K., Mauser, W. (2012) Integrated modeling of climate change impacts on agriculture and groundwater resources. Water Resources Management, 26,7, 1929-1951 Barthel, R. (2011): An indicator approach to assessing and predicting the quantitative state of groundwater bodies on the river basin scale with a special focus on the impacts of climate change. Hydrogeology Journal (2011) 19,3: 525–546. DOI: 10.1007/s10040-010-0693-y Other directly related papers: – Barthel, R., Janisch, S., Nickel, D. & Trifkovic, A. (2010): Using the Multiactor-Approach in GLOWA-Danube to Simulate Decisions for the Water Supply Sector under Conditions of Global Climate Change. – Water Resources Management, 24,2, 239-275 (DOI - 10.1007/s11269-009-9445-y) – Barthel, R. Rojanschi, Wolf, J. & Braun, J. (2005): Large-scale water resources management within the framework of GLOWA-Danube. Part A: The groundwater model. - Physics and Chemistry of the Earth, 30, 6-7, 2005, Pages 372-382 – Barthel, R., Jagelke, J., Gaiser, T., Printz, A. & Götzinger, J. (2008): Aspects of choosing appropriate concepts for modelling groundwater resources in regional Integrated Water Resources Management – Examples from the Neckar (Germany) and Ouémé catchment (Benin). - Physics and Chemistry of the Earth, 33, 1-2, 92-114 – Soboll, A, Elbers, M., Barthel, R., Schmude, J., Ernst A., Ziller, R. (2011): Scenarios of future water demand: Regional scale modelling of the human-environment-system to support decision making under global change conditions. Mitigation and Adaptation Strategies for Global Change 16,4 (2011) 477-498. - DOI: 10.1007/s11027-010-9274-6. Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 2
  • 3. Climate Change  Global Change European, national and federal state directives Data source: State Environmental Agency Baden-Württemberg Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 3
  • 4. Global Change – Example: Agriculture - Groundwater Drivers: Changes of outer Conditions Processes, Budget and Property Changes Water Balance Climate Changes of: Ecological and Economical States GW-Recharge GW-Quantity Plant Growth Policy / Water Law Product Prices / Agricultural Policy Legend Irrigation Crop Yields N-Fertilization GW-Quality Land use Farmers’ Income Farmers’ Decisions main direction of dependency strong medium weak foremost gw-quantity related dependency foremost gw-quality related dependency dependency related to both gw-quantity and gw-quality dependency indirect or complex or not well understood dependency Source: Barthel et al. (2012) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 4
  • 5. Global Change – Example: Agriculture - Groundwater Scenarios Models Water Balance Climate Indicators GW-Recharge GW-Quantity Plant Growth Policy / Water Law Product Prices / Agricultural Policy Legend Irrigation Crop Yields N-Fertilization GW-Quality Land use Farmers’ Income Farmers’ Decisions main direction of dependency strong medium weak foremost gw-quantity related dependency foremost gw-quality related dependency dependency related to both gw-quantity and gw-quality dependency indirect or complex or not well understood dependency Source: Barthel et al. (2012) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 5
  • 6. GLOWA-Danube (www.glowa-danube.de; 2001 - 2010) “Integrative Techniques, Scenarios and Strategies for the Future of Water in the Upper Danube Basin” Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 6
  • 7. GLOWA-Danube – The Upper Danube Catchment Upper Danube Catchment: • Area: 77,000 km² • Population: 11.5 Mio. • Elevation: 290 to ~4000 m Rivers Lakes Alluvium Moraines Tertiary Sediments Calcareous Alps Jurassic Karst Mesozoic Rocks Crystalline and Palaezoic Rocks Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 7
  • 8. GLOWA-Danube: Project Summary • Consequences of Global Change in the Upper Danube Catchment • Interdisciplinary Approach: 18 research groups from different disciplines • Integrated decision support tool ‘DANUBIA’, comprised of 16 fully coupled models • Contribution of our research group (IWS Stuttgart): – Hydrogeological assessment – Models for groundwater flow and contaminant transport – Model for water supply and distribution Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 8
  • 9. The DANUBIA Simulation System From: Hennicker et al. (2010) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 9
  • 10. GLOWA-Danube Global Change Scenarios 2011-2060 Choice 1: Climate Trends Choice 2: Climate Type IPCC regional Baseline Baseline REMO regional 5 warm Winters Open competition MM5 regional Trend Extrapolation 5 hot Summers Choice 3: Social Trends Choice 4: Interventions Information Cooperation Subsidies for Water saving techn. Public welfare 5 dry years Build reservoirs ... • Baseline: Business as usual • Open competition: maximizing individual profit, less consideration of environmental and social aspects • Public welfare: high value of environmental aspects From: Global Change Atlas of the Upper Danube Catchment (2011) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 10
  • 11. Climate Change – Past Observations: Temperature (1960-2006) Winter Temperatures: + 1.5 degrees Summer Temperatures: + 2 degrees Source: Global Change Atlas of the Upper Danube Catchment Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 11
  • 12. Climate Change – Past Observations: Precipitation 1960-2006 Summer Precipitation Winter Precipitation Source: Global Change Atlas of the Upper Danube Catchment Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 12
  • 13. Simulation results: Groundwater recharge and groundwater levels Recharge Differences [mm] < -600 -600 - -301 a) Günzburg GW-Level-Differences (combined) [m] b) < -10 -9.9 - -5.0 -300 - -201 -4.9- -2.0 -200 - -101 -1.9- -1.0 -0.9 - 0.9 -100 - -51 1.0 -1.9 -50 - 50 2.0-4.9 51 - 100 101 - 200 5.0 - 9.9 Ostallgäu >10 >200 Scenario 2036-2060 minus Reference (1970-2000) nicht modellierte Areas not modeled Bereiche with MODFLOW Scenario 2011-2035 minus Reference (1970-2000) From: Barthel et al. (2012) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 13
  • 14. Human response to groundwater change - simulating human decisions g GWL Open Competition 600 430 500 429 400 428 300 427 200 426 100 425 424 0 2016 2021 2026 2031 2036 2041 2046 2051 2056 GWL Open Competition 600 734 500 733 400 732 300 731 200 730 100 729 0 728 2011 Barthel et al. Günzburg district Danube low lands, arable land, wide alluvial aquifers GWR low pass filtered GWL Baseline Ostallgäu Groundwater Recharge [mm/a] GWR 2016 2021 2026 2031 2036 2041 2046 2051 Groundwater Level [m.a.s.l.] 2011 Groundwater Level [m.a.s.l.] GWR, low pass filtered GWL Baseline Günzburg Groundwater Recharge [mm/a] GWR Ostallgäu district pre-alpine, grassland, narrow alluvial and tertiary aquifers 2056 Grundvattendagarna 16-17 oktober 2013 i Lund 14
  • 15. Adaptation (decision making): example groundwater changes (on district level) g GWL Open Competition 600 430 500 429 400 428 300 427 200 426 100 425 0 424 2016 GWR 2021 2026 2031 2036 2041 2051 2056 GWL Open Competition 600 734 500 733 400 732 critical Everything is fine 300 200 Groundwater Quantity 100 Indicator (“Flag”) 731 730 1 2 3 729 0 728 2011 2016 Günzburg district Danube low lands, arable land, wide alluvial aquifers Translation into “decision relevant information” GWR low pass filtered GWL Baseline Ostallgäu Groundwater Recharge [mm/a] 2046 2021 2026 2031 2036 2041 2046 Groundwater Level [m.a.s.l.] 2011 Groundwater Level [m.a.s.l.] GWR, low pass filtered GWL Baseline Günzburg Groundwater Recharge [mm/a] GWR 2051 Ostallgäu district pre-alpine, grasscatastrophic land, narrow alluvial and tertiary aquifers 4 5 2056 Barthel (2011), Hydrogeology Journal Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 15
  • 16. Modelling of human decisions : Actor Modelling Barthel, R., et al. (2008), Environmental Modelling and Software, at each time step (1 month) Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 16
  • 17. Example (schematic): Decisions made by Water Supply Companies Models GroundwaterFlow; Soil, groundwaterlevel, groundwater recharge, -baseflow WaterSupply-Model Assessment of state and previous development Barthel et al. <=2 Buisness as usual Flag values >=3 Grundvattendagarna 16-17 oktober 2013 i Lund Information campaigns, expansion of resources, crisis management 17
  • 18. Modeling of human decisions : Water Supply • Decisions (choosing a plan and its actions) based on: – local conditions (hydrogeology, groundwater levels…)  indictors (flags) – individual preferences and properties and – global settings  Societal Scenarios Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 18
  • 19. Water Demand and Withdrawal [m3/s] Industrial Groundwater Demand [m3/s] Responses of the human actors: Household Water Demand Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 19
  • 20. Conclusions • Global Change impact assessment: – Needs to be done in an integrated way: people and the environment will adopt to change – Needs to be done on the regional scale – Requires reasonable integrated scenarios, i.e. combined environmental-socioeconomic scenarios • The DANUBIA system comprises all this, but: – It is a complex system that requires experienced users and has high computational demands – It requires lots of input data • Climate change impact assessment on water resources – Requires much better regional projections of precipitation! – Purely scientific approaches to integrated modeling are probably not the ideal solution Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 20
  • 21. More information • DANUBIA is available under an open source license • All models, scenarios, data sources and many results are published in the Global Change Atlas of the Upper Danube Catchment, available also in English shortly at: www.glowa-danube.de Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 21
  • 22. Barthel et al. Grundvattendagarna 16-17 oktober 2013 i Lund 22