New developments in the General NOAA Operational Modeling Environment (GNOME)
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1 New developments in the General NOAA Operational Modeling Environment (GNOME) Christopher H. Barker NOAA Office of Response and Restoration Emergency Response Division
2 Outline ORR / ERD background GNOME / ADIOS History ComputaAonal Structure / Features Oil Database ScripAng / Extending Web Interface
3 NOAA Emergency Response Division US National Contingency Plan: NOAA to provide Scientific Support Support for Hazardous Materials spill response in Coastal Waters All Hazards response support for over 35 years Provide support for responses/year In- house, interdisciplinary team of spill scientists A 24/7 National network of expert support
4 ERD Modeling Model development in- house Model developers and operaaonal modelers are the same team We understand the strengths an limitaaons We can add features / fix bugs on the fly Tools are developed specifically to support response
5 Oil Spill Response Model Requirements Quick to iniaalize: Answers within hours Easy to Calibrate: What if the results do not match the field observaaons? Wide range of scales Can ingest whatever is available: HF Radar, circulaaon models, etc. And not just oil: marine debris, whale carcasses, larvae, bodies
6 GNOME 1: C++ Desktop GUI (Windows and Mac Carbon) Code is tightly integrated Primarily Transport Weathering Completely Independent (ADIOS) Limited Batch Mode
7 GNOME 2 Goals Web interface Full scripting interface Integrated weathering Easier to add new features Plug in your own Movers, Weatherers, Maps, Element Types Easier to test/maintain/improve Open Source development model
8 GNOME Key Features: Particle Tracking (Lagrangian Elements) Linear Superposition of Physical processes
9 GNOME Key Components Movers Anything that moves an element Weatherers Changes the element s properties Maps Interaction with shoreline/bottom Releases When and where (and what) elements are injected
10 Wide Range of Problems Subsurface Blowout Fully 3- d Weathering of multi- component oil Tsunami Debris Surface Wind drift only Very large time/spatial scale Larva modeling: 2 or 3- d Larval behavior
11 Currents: GNOME Inputs Pattern scaled by time series Pattern scaled by components of wind Circulation models: Rectangular grids Curvilinear grids Unstructured grids Winds: Time series at a point Gridded winds from met models
12 Oil Types: Spill Sources Non- weathering Simple oils Full ADIOS database Plume model Point or line Instantaneous or continuous Can superimpose multiple spills
13 Fate / Weathering Pseudo- component model Distillation cuts (SARA) Saturates Aromatics Asphaltines Resins ~1000 oils in database Estimations for missing properties Generic Oils
14 Weathering Algorithms Spreading Evaporation Natural Dispersion Sedimentation Emulsion formation Biodegradation Dissolution
15 Weathering Algorithms Spreading Evaporation Natural Dispersion Sedimentation Emulsion formation Biodegradation New! Dissolution
16 Weathering Algorithms Spreading Evaporation Natural Dispersion Sedimentation Emulsion formation Biodegradation And Improved! Dissolution
17 Response OpAons Skimming Dispersant Application Burning All really simple user- specified effectiveness
18 GNOME ScripAng Interface: Fully Python Scripted Batch processing Add your own front end Add your own movers, etc in Python (or any code called from Python)
19 GNOME Web Interface: Running on NOAA server Simple use (location files) Intuition building Educational Download/save your setup. Run your own server: (could be your laptop) Custom locations, etc.
20 GNOME Transport Mode
21 Oil Budget
22 Oil Database
23 GOODS
24 ORR web site: WebGNOME: The Source Code: Chris Barker NOAA Office of Response and Restoration Emergency Response Division
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