1) 400m Whole NZ validation run (tectonic classification)

2) Re-run advanced IMs

1) Robin

2) Jonney

1) Ground Motion Extraction

2) Hikurangi Geometry

3) Tectonic Classification

4) Mw Reconciliation (comparison : John Ristau vs international dataset)

1)Viktor

2) James

3) Mike /  James

4) ?

5) ?

1) Cybershake Subduction (8 faults) :

Complete BB after IM plot checks

2)Running 200m sims LF only - on Kisti / Maui (until Maui allocation leaves 100k)

1. lower south island / all rels (KISTI)(Maui)
2. Central South island / all rels (Maui)
3. all faults/1 rel (KISTI) (Maui)
4. remaining faults/all rels (KISTI)

4) Empirical DS - DB calculation

5) Empirical / Cybershake / ratio hazard maps

1)Jason

2) Sung

1. Generalize hacks for KISTI
2. CH estimation based on linear regression
3. Integrate with pre-processing (starting with VM)
   1. Separate db creation out of install
   2. Create generic slurm for the rest of install, make install operate on each fault
   3. Create a generic slurm for VM generation
4. Pre-processing - GCMT to realisation – add some conditional logic about tectonic type (Brendon / Robin to consult about conditional parameters)
   
   

1. James
2. Jason / Brendon
3. Jonney
4. James

1. GM Selection for Empirical
   1. Integrate workflow into seistech master
   2. Synthetic tests for GCIM between Empirical and Simulation (1 rupture, N ruptures)
   3. For Daniel: - what tasks for him to do?
   4. Testing, trial calculations
2. Automate documentation
3. Front-end

1. 1. Milestone #2
      1. authentication.
      2. user access to individual tab controlled by authentication
      3. User data managed by API, and additional user data kept in a separate db
      4. Data integrity and consistency between Auth0 and separate db maintained.
   2. Milestone #3
      1. API call framework - plan the API proxy
      2. Create Mock API's with canned JSON response
      3. Call mocked API from the front end and ingest JSON. To demonstrate an example of full functionality of the front end
   3. Milestone #4: API – 2
      1. Create an API proxy - including error messages for restricted access
   1. 1. Call existing Core API’s from the front end replacing the mocks.
      2. JWT authorisation between the proxy and the core API
   2. Milestone #5: Deployment of 3 core environments
      1. Deploy DEV, TEST/EA, PROD versions
      2. Deployment is fully automated via scripts and config files.
      3. Update or switch-over is easily achieved utilizing deployment slots 
      4. Disruption is kept minimal when updated.

4) Empirical DS - DB calculation

1. Daniel / Claudio
2. Background task (Jason)
3. Andy

Roadmap (scientific functionality list)

Production - TODO (longer term tasks)

1. NN - GMM
   1. Implement an initial basic pipeline with some NN config + flexible feature selection & preprocessing
   2. Add hypo-depth to NN GMM dataset
2. GM Classifier – see link

1. SimAtlas simulation+animation:
   1. Test auto workflow with batch 4. (total 100 faults)
   2. Once batch 4 is done. Keep fueling the fire
2. Data management policy (classification of data importance.
3. NoisePy
4. NeSI allocation: Chat with NeSI, keep subscription allocation separate)
5. Velocity Model basins

1. Sung/Jonney
2. Sung