Software code for ESP3 and Casal2.

R Software enabling to selct and visualise topnet simulations outputs

• Global agreement with the UKESM: Much global climate model assessment research is at the 50-100km scale. The nested ocean model in the NZESM however can resolve features such as eddies at a scale of roughly 20km. Considering this, we must confirm that the NZESM gives results which agree with global models when assessed over large regions. Regional results around Aotearoa New Zealand will certainly differ but the global picture over long periods must broadly agree, e.g. with respect to global mean warming. The ongoing ability to work with the world leading (and large) ocean model development team at the Met Office is essential for this work. • Understanding marine heatwaves in a warming climate: The seas around Aotearoa New Zealand are warming fast (e.g. NIWA's sea surface temperature update, January 2019). The NZESM’s ability to examine them in high resolution whilst also assessing their effect on global climate in a coupled model is unique. Therefore, as well as developing regional ocean metrics, I will also work with the global atmosphere model developers at the Met Office to examine global impacts. This fits squarely within our remit to ‘[u]nderstand the future impact of potential climate change, extremes and vulnerability’. (NIWA’s Statement of Corporate Intent 2018-19, page 25).

R code for developing NZ River Maps v2 on the external shiny server

Delay difference model implemented in R for scallops, and generic individual-based model implemented in R.

This is an improved TopNet-GW version based on Eigen model.

NIWA collects large volumes of boat ramp interview data on paper forms every year, and the time, expense and delays associated with entering these data into FNZ’s Rec_data database are considerable. The NIWA software development team have been developing of an android recreational boat ramp interview survey app, which will completed under this task. An image based fishing location entry module will be developed and tested as part of this task, so the app can be deployed and field tested by a small number of interviewers, before it is rolled out nationally.

Casal2 software package. Written in C++. Open source and available on git.io. Formal releases managed by NIWA. Main NIWA contributors Kath Large, Teresa A'mar, Ian Doonan.

Further development of the Casal2 software. No data are involved. https://github.com/NIWAFisheriesModelling/CASAL2