The AWRA system using ewater Source Water Information Research and Development Alliance (WIRADA)

Transcription

1 The AWRA system using ewater Source Water Information Research and Development Alliance (WIRADA) Matt Stenson Deputy Program Leader Environmental Information Systems 29 May 2012 LAND AND WATER/WATER FOR A HEALTHY COUNTRY

2 What is the AWRA system? System for Australian Water Resources Assessments Continental scale historical water balance system Fusion of models and observations Makes strong use of remotely sensed observations Comprised of model components, data streams, processing steps, provenance system orchestrated by a workflow engine (currently Delft-FEWS). Development of the AWRA system using ewater Source Matt Stenson Page 2

3 AWRA System Components AWRA-L for landscape processes A gridded hydrology model representing various landscape processes such as ET, groundwater and flow to river E 0 P Surface runoff R I n Optimum transpiration Direct evaporation E S 0 Soil surface water balance S r Runoff routing EVI Vegetation adjustment U max Maximum root water uptake I 0 QF T max Actual transpiration T S s Root zone water balance D Stream flow accumulation Q S g Ground water balance BF Development of the AWRA system using ewater Source Matt Stenson Page 3

4 AWRA System Components AWRA-R for river modelling A river reach model representing inflows, storage, groundwater, exchanges, extractions and routing. Each reach is represented by a template model Development of the AWRA system using ewater Source Matt Stenson Page 4

5 Presentation title Presenter name Page 5 Development of the AWRA system using ewater Source Matt Stenson Page 5

6 ewater Source as the Basis for AWRA-R Source External Interface Development of the AWRA system using ewater Source Matt Stenson Page 6

7 Source Architecture Persistence System Data Model User Interface Simulation Engine System Tests Application Layer Command Line

8 General Purpose Interfaces Source Modelling Engine has extensive capabilities traditionally interfaced through a desktop application via a graphical user interface The Source External Interface exposes the Source Modelling Engine for use beyond the graphical user interface Web Interface Graphical User Interface Command Line Interface Source External Interface Source Modelling Engine OpenMI Interface Legacy and highly customised Interfaces Development of the AWRA system using ewater Source Matt Stenson Page 8

9 Command Line Client Server Implement the Source External Interface Server Communicate via named pipes or net.tcp protocols Readily incorporated into batch scripts or executed by other programs via standard console commands Client Built using Windows Communication Framework Technology Development of the AWRA system using ewater Source Matt Stenson Page 9

10 Windows Communication Foundation Windows Communication Foundation allowed define a general purpose Source Service WCF Service The first implementation was a Command Line client and server application Plain C# Web Server Command Line WCF Source External Interface Source Modelling Engine Development of the AWRA system using ewater Source Matt Stenson Page 10

11 Reach Modelling: How are we representing a river? Development of the AWRA system using ewater Source Matt Stenson Page 11

12 Example Region Barwon Catchment Development of the AWRA system using ewater Source Matt Stenson Page 12

13 River Reach Model Development of the AWRA system using ewater Source Matt Stenson Page 13

14 Example Region Hydrology Upstream Gauges: (Barwon Mungindi) (Gil Gil Weemelah) (Moonie Gundablouie) Downstream Gauge: (Barwon Mogil Mogil) Development of the AWRA system using ewater Source Matt Stenson Page 14

15 River Reach Model Inflows Storage Diversions Development of the AWRA system using ewater Source Matt Stenson Page 15

16 Systems Modelling: How do we model Australia? Development of the AWRA system using ewater Source Matt Stenson Page 16

17 AWRA Regions AWRA-R for 190 Reaches out of a region covering ~396 catchments Calibration in R Gauge data compiled manually Development of the AWRA system using ewater Source Matt Stenson Page 17

18 AWRA Regions Each reach is assigned an identifier (the d/s gauge number) Corresponding parameters are stored in a text file Topology the upstream reach(es) for each reach are stored in a text file Inputs are stored in text files Development of the AWRA system using ewater Source Matt Stenson Page 18

19 AWRA Regions Delft-FEWS orchestrating data, landscape modelling, reach modelling 1 Modelling Engine for each reach (e.g. 190 instances of Source) At each time-step: AWRA-L generates run-off AWRA-R runs each reach model with appropriate inputs and parameters Development of the AWRA system using ewater Source Matt Stenson Page 19

20 Calibration: What are the best parameter values for this river? Development of the AWRA system using ewater Source Matt Stenson Page 20

21 Easier calibration Microsoft Project Trident workflow software for the calibration workflow ewater Source for the river reach model (AWRA-R) Development of the AWRA system using ewater Source Matt Stenson Page 21

22 The Source template Development of the AWRA system using ewater Source Matt Stenson Page 22

23 The Source template Inflows to the reach Development of the AWRA system using ewater Source Matt Stenson Page 23

24 The Source template Modelled outflow Development of the AWRA system using ewater Source Matt Stenson Page 24

25 The Source template Model parameters Development of the AWRA system using ewater Source Matt Stenson Page 25

26 Calibration parameters What parameter values make the model produce outflows that most closely match gauged outflow? Process Pick parameter values Run model Compare output to gauged flow Score parameters Development of the AWRA system using ewater Source Matt Stenson Page 26

27 Calibration parameters 1. Inflow attenuation (per inflow) attenuation = (1/velocity) * inflow_length 2. Inflow loss (all inflows same) general_loss 3. Runoff scaling factor Runoff = rainfall_runoff_scaling_factor * AWRA_L Development of the AWRA system using ewater Source Matt Stenson Page 27

28 Problem definition Model definition The model runs the Source template Input files to load as CSV Objective definition How to score results? Square root of RMSE of outflows Hypercube Definition Search space for parameters Min/max for each calibration parameter Development of the AWRA system using ewater Source Matt Stenson Page 28

29 End-to-end Calibration The [Hydrologist s] Workbench

30 Conclusions Development of the AWRA system using ewater Source Matt Stenson Page 30

31 Future Work Data Assimilation, currently under development in AWRA-L, in the future for AWRA-R, possibly AWRA-G Data Assimilation in AWRA-R will require Source to save and load states; will be a big job. Linked calibration between AWRA-L and AWRA-R and later AWRA-G Uncertainty analysis Development of the AWRA system using ewater Source Matt Stenson Page 31

32 Acknowledgments AWRA System Integration: Dave Penton Ben Leighton Paul Manser Jamie Vleeshouwer Peter Fitch Qifeng Bai Heron Brink Garth Warren Jean-Michele Perraud Irina Emelyanova AWRA Model Development: Neil Viney Russell Crosbie Julien Lerat Zahra Paydar Luk Peeters Klaus Joehnk Rebecca Doble Bureau Leads: Andrew Frost Derek Bacon Adam Smith Development of the AWRA system using ewater Source Matt Stenson Page 32

33 Thank you Land and Water/Environmental Information Systems Matt Stenson Deputy Program Leader t e matthew.stenson@csiro.au w LAND AND WATER/WATER FOR A HEALTHY COUNTRY

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