Biblio
Filters: Author is Jerry Tjiputra [Clear All Filters]
Regional hydrological cycle changes in response to an ambitious mitigation scenario. Climatic Change 120, (2013).
Phytoplankton abundance in the Barents Sea is predictable up to five years in advance. Communications Earth & Environment 4, (2023). Abstract
Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations. Geoscientific Model Development 13, (2020).
Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2). Geoscientific Model Development 13, (2020).
Ocean Biogeochemical Predictions—Initialization and Limits of Predictability. Frontiers in Marine Science (2020).doi:10.3389/fmars.2020.00386
Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models. Journal of Geophysical Research (JGR): Oceans 121, (2016).
A model-based evaluation of the Inverse Gaussian transit-time distribution method for inferring anthropogenic carbon storage in the ocean. Journal of Geophysical Research (JGR): Oceans 123, (2018).
Key physical processes and their model representation for projecting climate impacts on subarctic Atlantic net primary production: A synthesis. Progress in Oceanography 217, (2023).
Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science 9, (2022).
Ensemble data assimilation for ocean biogeochemical state and parameter estimation at different sites. Ocean Modelling 112, (2017).
The effects of aggressive mitigation on steric sea level rise and sea ice changes. Climate Dynamics 40, (2013).
