DSD-INT 2019 ShorelineS and future coastline modelling - RoelvinkDeltares
Presentation by Dano Roelvink, IHE Delft Institute for Water Education, The Netherlands, at the Delft3D and XBeach User Day: Coastal morphodynamics, during Delft Software Days - Edition 2019. Wednesday, 13 November 2019, Delft.
DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Qual...Deltares
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Brief introduction to the topic on Oceanography. Anyone who have interested to study the basic of oceanography may be refer to this slide.
for me information kindly refer to the text book
"Essentials of Oceanography" Alan P. Trujillo Harold V. Thurman
(Eleventh Edition)
Use of MIKE 21/3 in the Hydraulic Analysis for the Dublin Port ABR Project - ...Stephen Flood
2015 DHI UK & Ireland Symposium
KEYNOTE: Use of MIKE 21/3 in the Hydraulic Analysis for the Dublin Port ABR Project
Adrian Bell (RPS),
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DSD-INT 2019 ShorelineS and future coastline modelling - RoelvinkDeltares
Presentation by Dano Roelvink, IHE Delft Institute for Water Education, The Netherlands, at the Delft3D and XBeach User Day: Coastal morphodynamics, during Delft Software Days - Edition 2019. Wednesday, 13 November 2019, Delft.
DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Qual...Deltares
Presentation by Hélène Boisgontier, Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.
Brief introduction to the topic on Oceanography. Anyone who have interested to study the basic of oceanography may be refer to this slide.
for me information kindly refer to the text book
"Essentials of Oceanography" Alan P. Trujillo Harold V. Thurman
(Eleventh Edition)
Use of MIKE 21/3 in the Hydraulic Analysis for the Dublin Port ABR Project - ...Stephen Flood
2015 DHI UK & Ireland Symposium
KEYNOTE: Use of MIKE 21/3 in the Hydraulic Analysis for the Dublin Port ABR Project
Adrian Bell (RPS),
Tuesday 21 April 2015 at 10:30 - 11:00
This project essentially looked at the stability of a deepened approach channel and examined the impact of the dredging and disposal for the scheme in support of a public planning hearing. The modelling used coupled MIKE 21 FM HD-SW-ST models as well as well as MIKE 21 and MIKE 3 FM HD and MT models.
Climate and weather by Aditya Ghosh
Published on Feb 11, 2013
Good presentation recommended for educators teaching the Grade 12 Geography under Topic : The Atmosphere
The Estuarine System consists of deepwater tidal habitats and adjacent tidal wetlands that are usually semienclosed by land but have open, partly obstructed, or sporadic access to the open ocean, and in which ocean water is at least occasionally diluted by freshwater runoff from the land. The salinity may be periodically increased above that of the open ocean by evaporation. Along some low-energy coastlines there is appreciable dilution of sea water. Offshore areas with typical estuarine plants and animals, such as red mangroves (Rhizophora mangle) and eastern oysters (Crassostrea virginica), are also included in the Estuarine System.
DSD-INT 2019 3D model of the North Sea using Delft3D FM-ZijlDeltares
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DSD-INT 2022 Upcoming Delft3D FM Suite 2023.01 New features + Improvements - ...Deltares
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an overview of my research and teaching areas in floating wind, offshore wind, data science, machine learning, turbulence modelling, blade dynamics, etc
Climate and weather by Aditya Ghosh
Published on Feb 11, 2013
Good presentation recommended for educators teaching the Grade 12 Geography under Topic : The Atmosphere
The Estuarine System consists of deepwater tidal habitats and adjacent tidal wetlands that are usually semienclosed by land but have open, partly obstructed, or sporadic access to the open ocean, and in which ocean water is at least occasionally diluted by freshwater runoff from the land. The salinity may be periodically increased above that of the open ocean by evaporation. Along some low-energy coastlines there is appreciable dilution of sea water. Offshore areas with typical estuarine plants and animals, such as red mangroves (Rhizophora mangle) and eastern oysters (Crassostrea virginica), are also included in the Estuarine System.
DSD-INT 2019 3D model of the North Sea using Delft3D FM-ZijlDeltares
Presentation by Firmijn Zijl, Deltares, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2019. Tuesday, 12 November 2019, Delft.
AS Level Physical Geography - Hydrology and Fluvial GeomorphologyArm Punyathorn
Water is an agent of change in the atmosphere, geosphere and biosphere. In this chapter we will try to understand the passage of water as it changes states.We will also look at how the forces of river can shape land forms as well as civilization
Seas and Oceans are dynamic ecosystems. Oceans are very vast bodies of water. Wind blowing on the surface of the ocean has the greatest effect on the movement of surface water. Vertical or horizontal movement of both surface and deep water masses happen in the world’s oceans. They are called as Ocean currents. Currents normally move in certain specific directions. Hence, they aid in the circulation of the moisture on Earth. Because ocean currents circulate water worldwide, they have a significant impact on the movement of energy and moisture between the oceans and the atmosphere. As a result, they are important to the world’s weather.
DSD-INT 2022 Upcoming Delft3D FM Suite 2023.01 New features + Improvements - ...Deltares
Presentation by Rob Prevel and Arthur van Dam (Deltares, Netherlands), at the Delft3D User Days, during Delft Software Days - Edition 2022. Tuesday, 15 November 2022.
an overview of my research and teaching areas in floating wind, offshore wind, data science, machine learning, turbulence modelling, blade dynamics, etc
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Kyeong Soo Kim, Academic Weeks Videoconference Session with Pakistan COMSATS Institute of Information Technology (CIIT), Swansea University, Swansea, Wales UK, Dec. 14, 2010.
From Cloud to Fog: the Tao of IT Infrastructure DecentralizationFogGuru MSCA Project
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The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Offers a Lambda scheduling service over Lambda Grids
Supports both on-demand and scheduled data retrieval
Supports bulk data-transfer facilities using lambda-switched networks
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports out-of-band tools for adaptive placement of data replicas
A Grid Computing Platform where Communication Function is in Balance with Computation and Storage.
Lambda Data Grid Service architecture interacts with Cyber-infrastructure, and overcomes data limitations efficiently & effectively by:
treating the “network” as a primary resource just like “storage” and “computation”
treating the “network” as a “scheduled resource”
relying upon a massive, dynamic transport infrastructure: Dynamic Optical Network
40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facilityinside-BigData.com
In this deck from the Swiss HPC Conference, Mark Wilkinson presents: 40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facility.
"DiRAC is the integrated supercomputing facility for theoretical modeling and HPC-based research in particle physics, and astrophysics, cosmology, and nuclear physics, all areas in which the UK is world-leading. DiRAC provides a variety of compute resources, matching machine architecture to the algorithm design and requirements of the research problems to be solved. As a single federated Facility, DiRAC allows more effective and efficient use of computing resources, supporting the delivery of the science programs across the STFC research communities. It provides a common training and consultation framework and, crucially, provides critical mass and a coordinating structure for both small- and large-scale cross-discipline science projects, the technical support needed to run and develop a distributed HPC service, and a pool of expertise to support knowledge transfer and industrial partnership projects. The on-going development and sharing of best-practice for the delivery of productive, national HPC services with DiRAC enables STFC researchers to produce world-leading science across the entire STFC science theory program."
Watch the video: https://wp.me/p3RLHQ-k94
Learn more: https://dirac.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports both on-demand and scheduled data retrieval
Supports a meshed wavelength switched network capable of establishing an end-to-end lightpath in seconds
Supports bulk data-transfer facilities using lambda-switched networks
Supports out-of-band tools for adaptive placement of data replicas
Offers network resources as Grid services for Grid computing
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DSD-INT 2015 - Performance of Delft3D Flexible Mesh in a complex intertidal bay
1. Performance of Delft3D
Flexible Mesh in a complex
intertidal bay
Comparison with Delft3D, Mike21
Bart-Jan van der Spek
Sander Post
3 November 2015
2. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Introduction
Background
Project in the Western Port Bay, Australia
Objective
“Model comparison between a structured grid model (Delft3D) and two unstructured
grid models Delft3D FM and MIKE to determine the most appropriate model for
further research”
Selection of preferred modelling software based on:
(Preliminary) model calibration
Run times
Representation of complex features
Wetting and drying of intertidal mudflats
2
3. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Geographical setting Western Port Bay
3
Estuary of irregular shape
40km east-west
40km north-south
680km² in total
270km² intertidal area
Two islands
Two entrances
4. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model packages
Delft3D Flow (version 4.01.00)
Developed by Deltares
Structured grid using rectilinear or curvilinear cells
For spatial discretization of the equations a cell-centred finite difference method is used
For time integration an implicit scheme is used
MIKE 21 FM HD (Service Pack 2, 2014)
Developed by DHI
Unstructured Mesh using triangles and quadrilateral elements
For spatial discretization of the equations a cell-centred finite volume method is used
For time integration an explicit scheme is used
Delft3D Flexible Mesh (version 1.1.125)
Developed by Deltares
Unstructured Mesh using linear (1D) and polygonal cells with at most 6 sides
For spatial discretization of the equations a staggered grid finite volume approach is used
For time integration an implicit scheme is used
4
5. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model set up
Hydrodynamic modelling
Depth-averaged 2D
Detailed bathymetry input for all models:
LiDAR survey
Multi beam echo sounder survey
Water level boundary conditions (in combination with Neumann)
0.125º Global Tidal Model by DTU Space
Comparable model resolutions.
5
6. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D model
Two domains to allow resolution difference
Three DD boundaries
Due to grid development restrictions
Curvilinear in main channel branches
Rectilinear grid in complex bathymetry
(Upper North Arm)
87,800 computational elements
6
7. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
MIKE 21
Only triangular elements
Resolution varies
Approximately 100,000 computational elements
More elements than Delft3D model :
To achieve comparable resolution in key
areas with curvilinear of rectilinear cells
7
8. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D FM
8
Unstructured model
Capable to combine benefits of curvilinear cells and triangles
Curvilinear in deeper channels with uniform flow direction
Highly variable resolution
80,000 computational elements
9. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D
9
Key area:
Lower North Arm
10. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
MIKE 21
10
Key area:
Lower North Arm
11. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D FM
11
Key area:
Lower North Arm
12. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D
12
Key area:
Upper North Arm
13. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
MIKE 21
13
Key area:
Upper North Arm
14. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D FM
14
Key area:
Upper North Arm
15. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D
15
Key area:
Western Entrance
16. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
MIKE 21
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Key Area:
Western Entrance
17. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Delft3D FM
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Key area:
Western Entrance
18. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison
Spatially constant bed roughness
Manning’s n coefficient of 0.025 for all models
Assessment of the performance
Model calibration
Run times
Representation of complex features
Wetting and drying of intertidal flats
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Location of measured data
19. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison - calibration
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(very) Comparable results
20. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison - calibration
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Comparable results
No single model performs better
Statistical Measure (modelled – observed)
Model
MIKE 21 Delft3D D-Flow
Mean peak ebb speed difference (m/s) 0.00 0.00 -0.01
Mean peak flood speed difference (m/s) 0.02 -0.01 0.01
Root-mean-square of ebb speed difference 0.03 0.04 0.03
Root-mean-square of flood speed difference 0.06 0.06 0.05
Mean ebb % difference relative to maximum observed speed -0.2 -0.3 -0.6
Mean flood % difference relative to maximum observed
speed 3.1
-1.9 1.5
Mean peak ebb direction difference (°) -1 -3 -2
Mean peak flood direction difference (°) 0 -2 -2
21. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – run times
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All models were optimized in terms of model efficiency to reduce run times
Delft3D – implicit numerical scheme with fixed time step
MIKE and Delft3D FM – explicit numerical scheme with dynamic time step
Delft3D: approx. 88,000 computational elements
MIKE21: approx. 100,000 computational elements
D-flow FM: approx. 80,000 computational elements
Due to DD domains only 2 cores could be used for Delft3D
Core Usage
Model run time for 31 day period (hours)
MIKE 21 Delft3D D-Flow
Single Core 60 24 18
Multiple Cores 12 (8 cores) 12 (2 cores) 11 (8 cores)
22. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – complex features
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Example: Upper North Arm
Tendency for flow to be concentrated in subtidal channel in Deltares models
Expected to be a result of differences in numerical scheme
Current speed differences
Point 4
23. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – complex features
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Example: Upper North Arm
Delft3D
Peak Flood Peak Ebb
24. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – complex features
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Example: Upper North Arm
MIKE
Peak Flood Peak Ebb
25. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – complex features
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Example: Upper North Arm
Delft3D FM
Peak Flood Peak Ebb
26. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Model Comparison – Wetting and drying
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Despite the different wetting and drying schemes the models show similar
representation of wetting and drying
Delft3D
27. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Conclusions
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Overall similar results
With MIKE having tendency for spreading channelised flow compared to Deltares models
All models achieve (very) reasonable and similar level of calibration
Using a single processor, DFM has substantially faster run times
Small variability in run times using multiple cores
Similar representation of wetting and drying
Unstructured mesh provides much more flexibility when constructing a complex model
domain compared to a structured grid using rectangular cells and domain decomposition.
28. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
Thank you for your attention!
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29. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
MIKE
30. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
MIKE
31. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
Delft3D including grid (bathy data cell centred and grid cell averaged, function DP module)
32. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
Delft3D including grid (bathy data cell centred and grid cell averaged, function DP module)
33. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
MIKE grid
34. Performance of Delft3D Flexible Mesh in a complex intertidal bay | 3 November 2015
BONUS material
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MIKE tendency for spreading channelised flow over wider area
Delft3D grid