CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
2020 Annual Meeting e-poster: Testing ensemble 4D-Var data assimilation approaches – Chris Edwards (UCSC)
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
2020 Annual Meeting e-poster: Our First Data Assimilation Experiments for a Regional Darwin Model – Paul Mattern (UCSC)
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
2020 Annual Meeting e-poster: A Bayesian Approach to Size-structured Matrix Population Model – Francois Ribalet (UW)
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
2020 Annual Meeting e-poster: Darwin Implementation for Hawaii – Brian Powell (UH)
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
CBIOMES Goes to Ocean Sciences 2020
Look out for members of the CBIOMES team, sharing their work at this year’s Ocean Sciences conference taking place February 16-21 in San Diego, California. Continue reading “CBIOMES Goes to Ocean Sciences 2020”
NEW CBIOMES PUBLICATION
Jann Paul Mattern, Christopher A. Edwards, Christopher N. Hill (2019), Dual number-based variational data assimilation: Constructing exact tangent linear and adjoint code from nonlinear model evaluations, PLoS One, doi: 10.1371/journal.pone.0223131
Get the PDF [Requires login]
A simple finite difference‐based approximation for biogeochemical tangent linear and adjoint models
by Helen Hill for CBIOMES
CBIOMES investigators Paul Mattern and Chris Edwards present a technique that accurately approximates tangent linear and adjoint models for data assimilation applications based only on evaluations of the nonlinear model. The resulting approximation offers a simple way to create readily maintained tangent linear and adjoint model code as only major changes to the nonlinear model formulation necessitate modifications of the tangent linear or adjoint model code. Continue reading “A simple finite difference‐based approximation for biogeochemical tangent linear and adjoint models”