DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt

Deltares
DeltaresDeltares
Global Data Services and
Analysis Frameworks
Dare to share global data
Delft3D User Days 2019
Daniel Twigt & Mark Hegnauer
Global Data Services
Making global data available
on a digital platform for everyone
2
Global Data Services
Making global data available
on a digital platform for everyone
3
Global Data Services
Why?
4
Why focus on global data services?
Towards services ‘Global’ sets an ambition Market for global information
Global Data Services
Thematic
6
Global Data Services
Thematic
7
8
Offshore
As a windfarm operator, I want to assess metocean conditions at my
windfarm, to assess workability conditions.
Workability conditions Design conditions FoundationMaintenanceTopics
Wind & wave
climates
Water level
statistics
Future sea
level rise
Future waves
& wind
Extreme
waves
Operational
currents
Regular
bathymetries
Example: MetOcean database. Historic wind and wave climates + statistics based on data of global (external)
models (ERA-Interim, ERA5, CFSR)
Period: 1979 - 2015
Type: Point and map data
Data
?
DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt
Coastal management
Shoreline positions Trends in shoreline change Storm ImpactTopics
As a coastal manager, I want to assess the state of my coast every
year & after storms, to decide for mitigating measures.
Wind &
wave
climates
Water level
statistics
Extreme
waves
Frequent
bathymetries
Future sea
level rise
Future
waves &
wind
Operational
currents
Regular
bathymetries
Historic
shorelines
On-the-fly
shorelines
changesOperational
waves
Data
Operational
water levels
(tide &
surge)
Operational
Discharge
Example: Shoreline monitor. Historic shoreline erosion and accretion
Period: 1979 - 2015
Type: Point and map data
?
DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt
Flooding
Flood hazards Flood impact Future floods
As a crisis response manager, I want to assess the flood risk due to the
typhoon approaching the Philippines, to warn the people in time.
Topics
Wind & wave
climates
Water level
statistics
Future sea
level rise
Future waves
& wind
Extreme
wavesOperational
currents
Regular
bathymetries
Operational
waves
Operational
water levels
(tide & surge)
?
Operational
Discharge
Data
Example: GLOSSIS (GTSM) and GLOFFIS
Global Tide and Surge Model v3.0
• 2D barotropic model
• Unstructured global grid
(25 km ocean - 2.5km coastal/1.25km EU)
• Bathymetry:
• EMODnet (250m) for EU
• Bedmap2 below lat 60S
• GEBCO 2014 bathymetry(~1km)
• TGF driven, no assimilation
• Two physical processes that are not
negligible at a global scale:
• Self attraction and loading (SAL)
• Tidal dissipation through generation
of internal tides
Runtimes in 8 cores ~3.6hour/week
GLOSSIS: real-time water level and storm-surge forecasts
at world-wide scale
• Real-time, medium-term forecasts
• Historical timeseries
• anywhere
• Ingredients:
• Deltares expertise: hydrodynamics, storm surge,
wave, bathemetry
• Computational engine: Delft3D FM based GTSM model
• Forecasting platform: Delft-FEWS
• Storage: Deltares OpenArchive
DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt
GLOFFIS: real-time hydrological forecasts at world-wide scale
• Medium-term and seasonal fluvial flow
forecasts
• Historical timeseries
• anywhere
• Ingredients:
• Deltares expertise: hydrology, WRM, forecasting
• Computational engine: Delft3D FM based
models:
• D-Hydrology (wflow)
• D-Flow FM (1D)
• Forecasting platform: Delft-FEWS
• Storage: Deltares OpenArchive
Recent developments: Global wflow
• Setup at 1x1 km2
• Using globally available base data:
• MERIT elevation data
• Soilgrids soil data
• Globcover / Corine landcover data
• With minimal calibration
Recent developments: Global wflow
• Setup at 1x1 km2
• Using globally available base data:
• MERIT elevation data
• Soilgrids soil data
• Globcover / Corine landcover data
• With minimal calibration
Samaniego, Luis, Rohini Kumar, and Sabine Attinger. "Multiscale
parameter regionalization of a grid‐based hydrologic model at the
mesoscale." Water Resources Research 46.5 (2010).
Recent developments: Global wflow
• Setup at 1x1 km2
• Using globally available base data:
• MERIT elevation data
• Soilgrids soil data
• Globcover / Corine landcover data
• With minimal calibration
Recent developments: Global wflow
Linked to other modules
D-Hydrology & D-Flow FMD-Hydrology & D-Water Quality D-Hydrology & D-Soil Erosion
DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt
Where are we now with the Global Data Services
• Still under development (early beta stage at present)
• Available on the Deltares network (now)
• Available for external beta-testers Q1 2020 (sign up)
• Official release end of Q1 2020
Where are we now and next steps
Develop a platform that has:
• Easy access to (global) data
• Enables quick setup of model & tools
• Includes a Model Analysis Framework
• To support Water Resources Management & Planning
Your feedback is appreciated
• General look and feel
• Which additional features would be useful
• Are the available data sources useful
• What should be changed to make it (more) useful
• What kind of opportunities do you see?
Thank you!
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DSD-INT 2019 - Global Data Services and Analysis Frameworks - Twigt

  • 1. Global Data Services and Analysis Frameworks Dare to share global data Delft3D User Days 2019 Daniel Twigt & Mark Hegnauer
  • 2. Global Data Services Making global data available on a digital platform for everyone 2
  • 3. Global Data Services Making global data available on a digital platform for everyone 3
  • 5. Why focus on global data services? Towards services ‘Global’ sets an ambition Market for global information
  • 8. 8 Offshore As a windfarm operator, I want to assess metocean conditions at my windfarm, to assess workability conditions. Workability conditions Design conditions FoundationMaintenanceTopics Wind & wave climates Water level statistics Future sea level rise Future waves & wind Extreme waves Operational currents Regular bathymetries Example: MetOcean database. Historic wind and wave climates + statistics based on data of global (external) models (ERA-Interim, ERA5, CFSR) Period: 1979 - 2015 Type: Point and map data Data ?
  • 10. Coastal management Shoreline positions Trends in shoreline change Storm ImpactTopics As a coastal manager, I want to assess the state of my coast every year & after storms, to decide for mitigating measures. Wind & wave climates Water level statistics Extreme waves Frequent bathymetries Future sea level rise Future waves & wind Operational currents Regular bathymetries Historic shorelines On-the-fly shorelines changesOperational waves Data Operational water levels (tide & surge) Operational Discharge Example: Shoreline monitor. Historic shoreline erosion and accretion Period: 1979 - 2015 Type: Point and map data ?
  • 12. Flooding Flood hazards Flood impact Future floods As a crisis response manager, I want to assess the flood risk due to the typhoon approaching the Philippines, to warn the people in time. Topics Wind & wave climates Water level statistics Future sea level rise Future waves & wind Extreme wavesOperational currents Regular bathymetries Operational waves Operational water levels (tide & surge) ? Operational Discharge Data Example: GLOSSIS (GTSM) and GLOFFIS
  • 13. Global Tide and Surge Model v3.0 • 2D barotropic model • Unstructured global grid (25 km ocean - 2.5km coastal/1.25km EU) • Bathymetry: • EMODnet (250m) for EU • Bedmap2 below lat 60S • GEBCO 2014 bathymetry(~1km) • TGF driven, no assimilation • Two physical processes that are not negligible at a global scale: • Self attraction and loading (SAL) • Tidal dissipation through generation of internal tides Runtimes in 8 cores ~3.6hour/week
  • 14. GLOSSIS: real-time water level and storm-surge forecasts at world-wide scale • Real-time, medium-term forecasts • Historical timeseries • anywhere • Ingredients: • Deltares expertise: hydrodynamics, storm surge, wave, bathemetry • Computational engine: Delft3D FM based GTSM model • Forecasting platform: Delft-FEWS • Storage: Deltares OpenArchive
  • 16. GLOFFIS: real-time hydrological forecasts at world-wide scale • Medium-term and seasonal fluvial flow forecasts • Historical timeseries • anywhere • Ingredients: • Deltares expertise: hydrology, WRM, forecasting • Computational engine: Delft3D FM based models: • D-Hydrology (wflow) • D-Flow FM (1D) • Forecasting platform: Delft-FEWS • Storage: Deltares OpenArchive
  • 17. Recent developments: Global wflow • Setup at 1x1 km2 • Using globally available base data: • MERIT elevation data • Soilgrids soil data • Globcover / Corine landcover data • With minimal calibration
  • 18. Recent developments: Global wflow • Setup at 1x1 km2 • Using globally available base data: • MERIT elevation data • Soilgrids soil data • Globcover / Corine landcover data • With minimal calibration Samaniego, Luis, Rohini Kumar, and Sabine Attinger. "Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale." Water Resources Research 46.5 (2010).
  • 19. Recent developments: Global wflow • Setup at 1x1 km2 • Using globally available base data: • MERIT elevation data • Soilgrids soil data • Globcover / Corine landcover data • With minimal calibration
  • 20. Recent developments: Global wflow Linked to other modules D-Hydrology & D-Flow FMD-Hydrology & D-Water Quality D-Hydrology & D-Soil Erosion
  • 22. Where are we now with the Global Data Services • Still under development (early beta stage at present) • Available on the Deltares network (now) • Available for external beta-testers Q1 2020 (sign up) • Official release end of Q1 2020
  • 23. Where are we now and next steps Develop a platform that has: • Easy access to (global) data • Enables quick setup of model & tools • Includes a Model Analysis Framework • To support Water Resources Management & Planning
  • 24. Your feedback is appreciated • General look and feel • Which additional features would be useful • Are the available data sources useful • What should be changed to make it (more) useful • What kind of opportunities do you see?