IMR_2025_NOBA_CC_FP

NoBa - Management scenarios under climate change - climate change and fisheries projections

Dataset Creator	Dataset Title	Dataset Release Date	Dataset Publisher	Dataset DOI	Online Resource
Cecilie Hansen, Richard D.M. Nash, Kenneth F. Drinkwater, Solfrid Sætre Hjøllo	NoBa - Management scenarios under climate change - climate change and fisheries projections	2025-01-27T00:00:00:00Z	Institute of Marine Research	10.21335/NMDC-474993428	http://metadata.nmdc.no/metadata-api/landingpage/79cc4ce153552f6e6e9b83a6a282bd01

Role	First Name	Last Name	Middle Name
DIF Author	Arnfinn	Morvik
Technical Contact	Solfrid	Hjøllo	Sætre
Investigator	Cecilie	Hansen

Category	Topic	Term	Variable Level 1	Variable Level 2
EARTH SCIENCE	BIOSPHERE	ECOLOGICAL DYNAMICS	ECOSYSTEM FUNCTIONS	FOOD-WEB DYNAMICS

Oceans

end-to-end model,climate change,NoBa,Nordic and Barents Seas

Start Date	Stop Date
1981-01-01	2068-12-31

Complete

Location Category	Location Type	Location Subregion1
Ocean	Arctic Ocean	Barents Sea
Ocean	Atlantic Ocean	North Atlantic Ocean

unrestricted

Institute of Marine Research

Data Center Name	Personnel	Data Center URL
Institute of Marine Research, Norwegian Marine Data Center Institute of Marine Research, Norwegian Marine Data Center	Datacenter Arnfinn Morvik
NO/IMR Institute of Marine Research	Originating institution Solfrid Sætre Hjøllo	http://www.imr.no

Distribution Media	Distribution Format
OPeNDAP	NetCDF

The Nordic and Barents Seas Atlantis model (NoBa) simulations run with output from the Regional Ocean Model System (ROMS) covering the period from 1981-2068, represeinting the historical period (1981-2005) and the IPCC RCP4.5 scenario (2006-2068). The fisheries follow the historical fishing pressures from stock assessments for the period until 2017, after which it is represented by different levels of the fishing mortality at maximum sustainable yield; 0.6, 0.8, 1.0 and 1.1. The fishing mortality at maximum sustainable yield is calculated within the model, and is held constant for the period from 2018-2068. Each scenario has 14 replicates, where the growth rate of mesozooplankton is perturbed, using the observed variability from the time series of mesozooplankton in the Norwegian sea for the period from 1995-2017. Atlantis is a deterministic model, and this variability creates as solution space for each scenario. In addition, for each scenario there are two set-ups for the number of species being harvested. One which allows harvest only on todays commercially important species, and one where the number of species being harvested is increase to include also the functional groups 'small pelagic fish', 'large demersal' and 'other demersal' (based on catch statistics), and mesopelagic fish and mesozooplankton (based on intereste in these resources). In total this adds up to 112 simulations. The aim of the study was to explore the impact of climate change and changes in management strategies on the ecosystem of the Nordic and Barents Seas (Hansen et al., 2019).

URL Content Type	URL
GET DATA	https://ftp.nmdc.no/nmdc/IMR/modeldata/NoBa/Hansen_et_al_2019_global_sustainability_catch_biomass_txt_files.tar.gz
GET DATA	https://ftp.nmdc.no/nmdc/IMR/modeldata/NoBa/Hansen_et_al_2019_local_stewardship_catch_biomass_txt_files.tar.gz
GET DATA	https://ftp.nmdc.no/nmdc/IMR/modeldata/NoBa/Hansen_et_al_2019_national_enterprise_catch_biomass_txt_files.tar.gz
GET DATA	https://ftp.nmdc.no/nmdc/IMR/modeldata/NoBa/Hansen_et_al_2019_world_market_catch_biomass_txt_files.tar.gz

Norwegian Marine Datacentre

CEOS IDN DIF

9.7.1

2025-01-27T00:00:00:00Z

CC BY 4.0

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