1) Event Search

2) Cloud Deployment

3) Future / Historic & Event / Site-Search

4) Compression of Empirical

5) GM Selection (Low Priority)

Viktor

Karim

Sung

James

1) event_search_im.py retrieves ims given station, simgroup

4) empirical data stored in something like h5 but only the necessary items and as floats, not strings

SeisFinder : Event-search and Historic/Future data

SeisFinder AWS deployment

SeisFinder: Seismogram Data Compression for Event Search

1) Post-processing for Karim

2) Karim queries

3) Investigate HF on Mahuika (low priority)

Melody

Jonney

Jason

1a) Simulation count calculator created

re-running cybershake v18p6

Simulation count calculator

Investigate HF scaling on Mahuika

1) Run Validation using GMSimVersion func w/ 1 realisation

2) Wall clock estimation of actual vs predicted CS18p6 (both sim and total levels)

3) HF scaling investigation

4) Update Cybershake Install python3

5) Dashboard for actual core hours / HPC status to date

6) Automated submission on Mahuika

7) Binary version of EMOD3D tools, intergarte into slurm workflow etc

8) LF Vs30ref

9) Continued Sim Verification (low priority)

Robin

Jonney

Claudio

Jason

Melody

3) Simulations run. To-do: investigate differences

7) HF has been separated from EMOD3D and both have had their CMake reduced

8) Reading Vs30ref values from VM is re-enabled

4) HPC Dashboard

Automated submission on Mahuika

WCT estimation - Sprint 17

HF scaling investigation

Switching versions of Binary (EMOD3D, HF)

LF Vs30ref

1) Develop plan for creating all 4 createSRF.py source types & Implement Type 1 (pt-source) faults

2) Run validation w/ multiple uncertainties

James / Jason

Viktor

Robin / Sarah

Plan for source uncertainty for all types

Implemented for type 1

1) Provide PGA & Liquefaction/Landslide Probability for Power Lines to Amelia for 1 realisation of AlpineF2K

2) Run groundfailure on supercomputer & run for subset of Cybershake

 Jason