TT154: Model Quality Control

Learn how to easily resolve model initialisation errors, reduce output data storage requirements, and how to assess a model simulation’s health

TT154 Model Quality Control

Overview

This course aims to build your understanding of the TUFLOW engine and its various check and result files to enable you with the knowledge and skills necessary to build healthy models. This information is extremely valuable to: 

  1. Increase your work efficiency during model build activities.  Attendees will learn step by step methods how to diagnose and resolve modelling errors. 
  2. Build models requiring minimum output data storage needs. This is becoming an important consideration as year-on-year models become larger, are built to a finer resolution and/or projects are requiring a larger number of simulations. 
  3. Assess model health and learn how to resolve identified issues.  

Healthy models are happy models. They provide reliable results and run at the fastest possible speed. Building healthy models supports the delivery of trustworthy project outcomes and increases your project delivery efficiency.  

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Need to Know

Format

This course will be run over 3 to 4 hours either in classroom or via Zoom.

The online version of this course is limited to a class size of six trainees so that all participants receive a personalised experience and there is plenty of scope to interact and discuss with the trainer. Short preparation session will be held the week prior to the course to ensure all trainees can access the training portal, have the necessary software installed and course data downloaded.

The classroom in person course is limited to a class size of twelve trainees.

The hands-on training part is completely interactive with each attendee completing the QGIS exercises under the guidance of our trainer.

Prerequisites

Entry level ability in using TUFLOW and QGIS is necessary.  Prior completion of the following free eLearning courses is required: 

Dates

Available

TT154O: Model Quality Control - UK - Online (16 May) - Available

16 May 2024 - 10:00 (GMT) ,
ends: 16 May 2024 - 14:00 (GMT)

Time: 10:00am (London/UK)
Location: Online
Duration: 3-4 hrs
Cost (pp): £250 (ex VAT) / €300 (ex VAT)
Max class size: 6

Registration Form
Available

TT154O: Model Quality Control - AUS - Online (13 Jun) - Available

13 June 2024 - 10:00 (AEST) ,
ends: 13 June 2024 - 13:30 (AEST)

Time: 10:00am (Brisbane, Australia)
Location: Online
Duration: 3.5 hrs
Cost (pp): AUD $550 (ex GST)
Max class size: 6

Registration Form
Available

TT154C: Model Quality Control - Perth (6 Nov) - Available

6 November 2024 - 13:30 (AWST) ,
ends: 6 November 2024 - 17:00 (AWST)

Time: 1:30pm (Perth, Australia)
Location: Karstens, Level 1/111 St. Georges Terrace, Perth, WA 6000
Duration: 3.5 hrs
Cost (pp): AUD $700 (ex GST)
Max class size: 12

Registration Form
Available

TT154C: Model Quality Control - Auckland (11 Dec) - Available

11 December 2024 - 13:30 (NZDT) ,
ends: 11 December 2024 - 17:00 (NZDT)

Time: 1:30pm (Auckland, NZ)
Location: Karstens, Tower 1, Level 4, 205 Queen St, Auckland 1010
Duration: 3.5 hrs
Cost (pp): NZD $700 (ex GST)
Max class size: 12

Registration Form
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Content

Step by step guidance how to: 

  • Resolve model initialisation errors. 
  • Reduce model result output data storage requirements. 
  • Assess TUFLOW Classic/HPC 2D domain health. 
  • Assess ESTRY (TUFLOW’s 1D solver) 1D domain health. 
  • Assess 1D/2D linking health. 
  • How to use knowledge gained from model health analysis to refine a model to increase simulation speed.