PISCES 1D configuration model: forcing and output files
This repository contains data files (netCDF format) related to the model configuration developed and used by Joan Llort between 2011 and 2019. The model is a 1D configuration based on PISCES v1 and the specific routines and namelist are here:
https://github.com/jllort/PISCESv1_1D
The data in this repository is organised in two groups:
- The first group contains the forcing files used to create and idealised representation of Southern Ocean water columns. Forcing files were automatically modified to force PISCES models with different mixed layer depth and iron environments. The files presented here are for a single water column but they can be modified using the python routines in the GitHub link above.
- The second group contains the outputs for one of the experiments. We studied the impact of changes in ferricilne, winter mixed layer and summer mixed layer depths over Southern Ocean primary production.
Simple
Identification info
- Date (Creation)
- 2015-01-09
Owner
- Credit
- NEMO Ocean Engine' Gurvan Madec, and the NEMO team (2008)
- Credit
- Bopp, L., O. Aumont, P. Cadule, S. Alvain, and M. Gehlen. 2005. “Response of Diatoms Distribution to Global Warming and Potential Implications: A Global Model Study: DIATOMS AND CLIMATE CHANGE.” Geophysical Research Letters 32 (19): n/a-n/a. https://doi.org/10.1029/2005GL023653.
- Status
- Completed
Principal investigator
- Topic category
-
- Oceans
Extent
Temporal extent
- Time period
- 2015-01-09 2019-01-01
Vertical element
- Minimum value
- 0
- Maximum value
- 2000
- Identifier
- EPSG::5715
- Name
- MSL depth
- Maintenance and update frequency
- Not planned
- NASA/GCMD Keywords, Version 8.5
-
- EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | PELAGIC | OCEANIC ZONE
- EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | PROTISTS | PLANKTON | PHYTOPLANKTON
- EARTH SCIENCE SERVICES | MODELS | CLIMATE CHANGE IMPACT ASSESSMENT MODELS
- EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | ECOSYSTEM FUNCTIONS | PRIMARY PRODUCTION
- EARTH SCIENCE SERVICES | MODELS | CARBON CYCLE/CARBON BUDGET MODELS
- Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
Resource constraints
- Classification
- Unclassified
Resource constraints
- Use limitation
- The data described in this record are the intellectual property of the University of Tasmania through the Institute for Marine and Antarctic Studies.
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Website
-
http://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Llort, Joan (2019). PISCES 1D configuration model: forcing and output files. Institute for Marine and Antarctic Studies, University of Tasmania. Data accessed at https://metadata.imas.utas.edu.au/geonetwork/srv/en/metadata.show?uuid=9e4a5cac-b3db-4dae-b34d-8b45db1001de on (access date).
- Language
- English
- Character encoding
- UTF8
Content Information
- Content type
- Physical measurement
Distribution Information
- Distribution format
-
-
NetCDF
-
NetCDF
- OnLine resource
-
DATA ACCESS - model outputs NetCDF format [direct download ~6GB]
- OnLine resource
-
imas:NFI_LLort_PISCES_1D_MAP
MAP - location of ocean model
Resource lineage
- Statement
- Biogeochemical model PISCES, in 1D configuration, forced with an idealised seasonal cycle. More details: Llort, Joan. 2015. Bloom Phenology, Mechanisms and Future Change in the Southern Ocean. Phdthesis, Université Pierre et Marie Curie - Paris 6. https://hal.archives-ouvertes.fr/tel-01140801/document. Llort, Joan, Marina Lévy, Jean-Baptiste Sallée, and Alessandro Tagliabue. 201 Onset, Intensification, and Decline of Phytoplankton Blooms in the Southern Ocean. ICES Journal of Marine Science: Journal Du Conseil 72 (6): 197184. https://doi.org/10.1093/icesjms/fsv053. Nicholson, Sarah-Anne, Marina Lévy, Joan Llort, Sebastiaan Swart, and Pedro M. S. Monteiro. 2016.Investigation into the Impact of Storms on Sustaining Summer Primary Productivity in the Sub-Antarctic Ocean. Geophysical Research Letters, January, 2016GL069973. https://doi.org/10.1002/2016GL069973. Bopp, L., O. Aumont, P. Cadule, S. Alvain, and M. Gehlen. 2005. Response of Diatoms Distribution to Global Warming and Potential Implications: A Global Model Study: DIATOMS AND CLIMATE CHANGE. Geophysical Research Letters 32 (19): n/a-n/a. https://doi.org/10.1029/2005GL023653.
- Hierarchy level
- Dataset
Metadata
- Metadata identifier
-
9e4a5cac-b3db-4dae-b34d-8b45db1001de
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/9e4a5cac-b3db-4dae-b34d-8b45db1001de
Point of truth URL of this metadata record
- Date info (Creation)
- 2020-09-17T11:34:27
- Date info (Revision)
- 2020-09-17T11:34:27
Metadata standard
- Title
- ISO 19115-3:2018