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Integrating Model Builders, Data, and Cloud Computing:
A Global Climate Stress Testing Tool
for Water Practioners
International User Days
Deltares Hydrology Software Suite
November 28, 2023
M. Umit Taner, PhD
2
We are already witnessing climate change
but the projections are highly uncertain….
3
Now Future
Uncertainty
Projected
Most-likely
Black
swans
Possible,
But less likely
A robustness-based approach to climate risk
Consider a wide range of
plausible futures
4
Now Future
Uncertainty
Vulnerable
Robust
A robustness-based approach to climate risk
Consider a wide range of
plausible futures
Stress test your system.
Identify sensitivity & causes
of vulnerability
5
Consider a wide range of
plausible futures
Stress test your system.
Identify sensitivity & causes
of vulnerability
Develop adaptation actions
to increase robustness
Now Future
Uncertainty
Reduced
vulnerability
Increased
Robustness
A robustness-based approach to climate risk
Climate stress testing*
Define vulnerability
metrics criteria &
* Brown et al., 2013
From case studies to a global web application…
7
Example applications (2013 – 2023)
• Domestic water supply risk, San Francisco
• Environmental flows, New England/Canada
• Hydropower design, Nepal & Malawi
• IWRM & irrigation planning, Niger Basin
• Reservoir sizing, Mombasa, Kenya
• …
Climate Stress Testing Tool
✓ Joint-initiative with World Bank
Deltares to enable the approach to
common water practioners
✓ Automated workflows to apply the
method at virtually anywhere
✓ Integration of tools for rapid model
building, data processing and viz
✓ Connection to global climate
(CMIP6, ERA6, CHIRPs) and
nonclimate datasets
✓ Computations on the cloud
8
CST Tool: some answers we can learn
➢ Discharge sensitivity to
∆temp and ∆precip
➢ Effect of earlier snow melt
on spring flows due to
warming
➢ Understand where low flow
criteria is violated
➢ Plausibility of occurrence
based on climate
projections
Now
GCM projections
(2035-2065)
9
CST Tool – Software architecture
Request
Response
Web client Web service
Mongo
DB
Open-source python-
based workflow
management system
User input
• Project area
• Hydrological
variables
• Stress test
parameters
• Vulnerability
thresholds
• …
HYDROMT
Open-source python-package to build,
modify, analyze geospatial models
WEATHERGENR
Open-source R-package to simulate
daily, multi-grid, multi-variable series
WFLOW
Open-source spatially-distributed
hydrological modeling framework
Tools
CST Tool – Software architecture
Workflow management
Workflow #2
Climate Projections
2.1 Extract multigrid
GCM time-series
2.2 Spatial & temporal
average timeseries
2.3 Calculate annual
and monthly statistics
Workflow #1
Project Creation
1.1 Delineate basin &
extract gridded data
1.2 Build distributed
hydrological model
1.3 Simulate for
reference period
1.4 Inspect model’s
goodness-of-fit
Workflow #3
Stress Testing
3.1 Create historical
weather realizations
3.2 Perturb realizations
to reflect CC
3.3 Simulate hydrology
response & indicators
3.4 Create interactive
response surfaces
Gridded data
GUI steps
11
1 Create project
Delineate project area
Define critical locations for risk analysis
12
1 Create project
Delineate project area
Define critical locations for risk analysis
2 Build and evaluate models
Deploy a wflow model with choice of gridded data
Evaluate against observed streamflow data
GUI steps
13
1 Create project
Delineate project area
Define critical locations for risk analysis
2
3
Build and evaluate models
Deploy a wflow model with choice of gridded data
Evaluate against observed streamflow data
Define & execute stress test
Analyze CMIP6 projections
Decide on how to vary climate statistics
Changes in temperature
Changes in rainfall variability
Changes in dry and wet spells
….
GUI steps
14
1 Create project
Delineate project area
Define critical locations for risk analysis
2
3
4
Build and evaluate models
Deploy a wflow model with choice of gridded data
Evaluate against observed streamflow data
Define & execute stress test
Analyze CMIP6 projections
Decide on how to vary climate statistics
Interactively assess climate risk
Set critical thresholds
Identify climate vulnerabilities
∆
Precip
(%)
∆ Temp (°C)
Performance
GUI steps
Next steps & future directions
15
➢ Initial prototype complete, cloud migration planned for Q1/2 2024
➢ Rigorous testing and feedback from early users
➢ Potential power-user integrations for 2024:
• Water system models (RIBASIM)
• Groundwater (MODFLOW)
Questions?
umit.taner@Deltares.nl

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DSD-INT 2023 A Global Climate Stress Testing Tool for Water Practioners - Taner

  • 1. Integrating Model Builders, Data, and Cloud Computing: A Global Climate Stress Testing Tool for Water Practioners International User Days Deltares Hydrology Software Suite November 28, 2023 M. Umit Taner, PhD
  • 2. 2 We are already witnessing climate change but the projections are highly uncertain….
  • 3. 3 Now Future Uncertainty Projected Most-likely Black swans Possible, But less likely A robustness-based approach to climate risk Consider a wide range of plausible futures
  • 4. 4 Now Future Uncertainty Vulnerable Robust A robustness-based approach to climate risk Consider a wide range of plausible futures Stress test your system. Identify sensitivity & causes of vulnerability
  • 5. 5 Consider a wide range of plausible futures Stress test your system. Identify sensitivity & causes of vulnerability Develop adaptation actions to increase robustness Now Future Uncertainty Reduced vulnerability Increased Robustness A robustness-based approach to climate risk
  • 6. Climate stress testing* Define vulnerability metrics criteria & * Brown et al., 2013
  • 7. From case studies to a global web application… 7 Example applications (2013 – 2023) • Domestic water supply risk, San Francisco • Environmental flows, New England/Canada • Hydropower design, Nepal & Malawi • IWRM & irrigation planning, Niger Basin • Reservoir sizing, Mombasa, Kenya • … Climate Stress Testing Tool ✓ Joint-initiative with World Bank Deltares to enable the approach to common water practioners ✓ Automated workflows to apply the method at virtually anywhere ✓ Integration of tools for rapid model building, data processing and viz ✓ Connection to global climate (CMIP6, ERA6, CHIRPs) and nonclimate datasets ✓ Computations on the cloud
  • 8. 8 CST Tool: some answers we can learn ➢ Discharge sensitivity to ∆temp and ∆precip ➢ Effect of earlier snow melt on spring flows due to warming ➢ Understand where low flow criteria is violated ➢ Plausibility of occurrence based on climate projections Now GCM projections (2035-2065)
  • 9. 9 CST Tool – Software architecture Request Response Web client Web service Mongo DB Open-source python- based workflow management system User input • Project area • Hydrological variables • Stress test parameters • Vulnerability thresholds • … HYDROMT Open-source python-package to build, modify, analyze geospatial models WEATHERGENR Open-source R-package to simulate daily, multi-grid, multi-variable series WFLOW Open-source spatially-distributed hydrological modeling framework Tools
  • 10. CST Tool – Software architecture Workflow management Workflow #2 Climate Projections 2.1 Extract multigrid GCM time-series 2.2 Spatial & temporal average timeseries 2.3 Calculate annual and monthly statistics Workflow #1 Project Creation 1.1 Delineate basin & extract gridded data 1.2 Build distributed hydrological model 1.3 Simulate for reference period 1.4 Inspect model’s goodness-of-fit Workflow #3 Stress Testing 3.1 Create historical weather realizations 3.2 Perturb realizations to reflect CC 3.3 Simulate hydrology response & indicators 3.4 Create interactive response surfaces Gridded data
  • 11. GUI steps 11 1 Create project Delineate project area Define critical locations for risk analysis
  • 12. 12 1 Create project Delineate project area Define critical locations for risk analysis 2 Build and evaluate models Deploy a wflow model with choice of gridded data Evaluate against observed streamflow data GUI steps
  • 13. 13 1 Create project Delineate project area Define critical locations for risk analysis 2 3 Build and evaluate models Deploy a wflow model with choice of gridded data Evaluate against observed streamflow data Define & execute stress test Analyze CMIP6 projections Decide on how to vary climate statistics Changes in temperature Changes in rainfall variability Changes in dry and wet spells …. GUI steps
  • 14. 14 1 Create project Delineate project area Define critical locations for risk analysis 2 3 4 Build and evaluate models Deploy a wflow model with choice of gridded data Evaluate against observed streamflow data Define & execute stress test Analyze CMIP6 projections Decide on how to vary climate statistics Interactively assess climate risk Set critical thresholds Identify climate vulnerabilities ∆ Precip (%) ∆ Temp (°C) Performance GUI steps
  • 15. Next steps & future directions 15 ➢ Initial prototype complete, cloud migration planned for Q1/2 2024 ➢ Rigorous testing and feedback from early users ➢ Potential power-user integrations for 2024: • Water system models (RIBASIM) • Groundwater (MODFLOW)