ISIMIP3b simulation round simulation protocol - Fisheries and Marine Ecosystems (regional)
Introduction
General concept
The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.
ISIMIP is intended to be structured in successive rounds connected to the different phases of the climate model intercomparison CMIP (ISIMIP Mission & Implementation document).
The main components of the ISIMIP framework are:
- A common set of climate and other forcing data which will be distributed via a central database;
- A common modelling protocol to ensure consistency across sectors and scales in terms of data, format and scenario set-up;
- A central archive where the output data will be collected and made available to the scientific community.
ISIMIP3b
GCM-based simulations assuming fixed 2015 direct human influences for the future
The ISIMIP3b part of the third simulation round is dedicated to a quantification of climate-related risks at different levels of climate change and socio-economic conditions. The group 1 simulations refer to the pre-industrial and historical period of the CMIP6-based climate simulations. Group 2 covers all future projections assuming fixed 2015 levels of socio-economic forcing and different future projections of climate (SSP126, SSP37 and SSP585). Group3 simulations account for future changes in socio-economic drivers and are intended to be started in summer 2021.
You can find the ISIMIP3a protocol, which is is dedicated to impact model evaluation and improvement and detection and attribution of observed impacts, here.
Simulation protocol
In this protocol we describe the scenarios & experiments in ISIMIP3b simulation round, the different input datasets, the output variables, and how to report model results specifically for Fisheries and Marine Ecosystems (regional). An overview of all sectors can be found at protocol.isimip.org.
Throughout the protocol we use specifiers that denote a particular scenario, experiment, variable or other parameter. We use these specifiers in the tables below, in the filenames of the input data sets, and ask you to use the same specifiers in your output files. More on reporting data can be found at the end of this document.
Model versioning
To ensure consistency between ISIMIP3a and ISIMIP3b as well as the different experiments within a simulation round, we require that modelling groups use the same version of an impact model for the experiments in ISIMIP3a and ISIMIP3b. If you cannot fulfill this, please indicate that by using a suffix for your model name (e.g. simple version numbering: MODEL-v1, MODEL-v2 or following semantic versioning: MODEL-2.0.0, see also reporting model results).
This versioning does not only apply to changes in the computational logic of the model, but also to input parameters, calibration or setup. If model versions are not reported, we will name them according to the simulation round (e.g. MODEL-isimip3a). We require the strict versioning to ensure that differences between model results are fully attributable to the changes in model forcings.
Scenarios & Experiments
Scenario definitions
| Scenario specifier | Description |
|---|---|
| picontrol | Pre-industrial climate as simulated by the GCMs. |
| historical | Historical climate as simulated by the GCMs. |
| ssp126 | SSP1-RCP2.6 climate as simulated by the GCMs. |
| ssp370 | SSP3-RCP7 climate as simulated by the GCMs. |
| ssp585 | SSP5-RCP8.5 climate as simulated by the GCMs. |
| Scenario specifier | Description |
|---|---|
| 1850soc |
Fixed year-1850 direct human influences (e.g. land use, nitrogen deposition and fertilizer input, fishing effort). Please label your simulations |
| histsoc |
Varying direct human influences in the historical period (1850-2014) (e.g. observed changes in historical land use, nitrogen deposition and fertilizer input, fishing effort). Please label your model run |
| 2015soc |
Fixed year-2015 direct human influences (e.g. land use, nitrogen deposition and fertilizer input, fishing effort). Please label your simulations |
| nat |
No direct human influences (naturalized run). Please only label your model run |
| Scenario specifier | Description |
|---|---|
| default | For all experiments other than the sensitivity experiments. |
General note regarding sensitivity experiments
The sensitivity experiments are meant to be "artificial" deviations from the default settings. So for example if your model does not at all account for changes in CO₂ concentrations (no option to switch it on or off) the run should be labeled as default in the sensitivity specifier of the file name even if the run would be identical to the 1850co2 sensitivity setting.
The particular sensitivity scenario for an experiment is given in the experiments table below. For most experiments no sensitivity scenario is given, so the default label applies.
Experiments
| Experiment | Short description |
Pre-industrial 1601-1849 |
Historical 1850-2014 |
Future 2015-2100 |
|---|---|---|---|---|
pre-industrial controlhistsoc 1st priority |
CF: no climate change, pre-industrial CO₂ fixed at 1850 levels |
picontrol |
picontrol |
picontrol |
| DHF: varying management before 2015, then fixed at 2015 levels thereafter |
1850soc |
histsoc |
2015soc |
|
pre-industrial control2015soc 1st priority |
CF: no climate change, pre-industrial CO₂ fixed at 1850 levels | does not have to be simulated as the following year already provide a large sample of years with stable climate and constant (2015soc) / no (nat) DHF for period |
picontrol |
picontrol |
| DHF: fixed at 2015 levels for all periods |
2015soc |
2015soc |
||
pre-industrial controlnat 2nd priority |
CF: no climate change, pre-industrial CO₂ fixed at 1850 levels | does not have to be simulated as the following year already provide a large sample of years with stable climate and constant (2015soc) / no (nat) DHF for period |
picontrol |
picontrol |
| DHF: No direct human influences |
nat |
nat |
||
RCP2.6histsoc 1st priority |
CF: Simulated historical climate and CO₂ in historical period, then SSP1-RCP2.6 climate & CO₂ | "histsoc" version of the pre-industrial period of the pre-industrial control experiment |
historical |
ssp126 |
| DHF: varying management before 2015, then fixed at 2015 levels thereafter |
histsoc |
2015soc |
||
RCP2.62015soc 1st priority |
CF: Simulated historical climate and CO₂ in historical period, then SSP1-RCP2.6 climate & CO₂ | "2015soc" version of the pre-industrial period of the pre-industrial control experiment |
historical |
ssp126 |
| DHF: fixed at 2015 levels for all periods |
2015soc |
2015soc |
||
RCP2.6nat 2nd priority |
CF: Simulated historical climate and CO₂ in historical period, then SSP1-RCP2.6 climate & CO₂ | "nat" version of the pre-industrial period of the pre-industrial control experiment |
historical |
ssp126 |
| DHF: No direct human influences |
nat |
nat |
||
RCP7histsoc 1st priority |
CF: SSP3-RCP7 climate & CO₂ | "histsoc" version of pre-industrial of pre-industrial control experiment runs | "histsoc" version of the historical period of the RCP2.6 experiment |
ssp370 |
| DHF: varying management before 2015, then fixed at 2015 levels thereafter |
2015soc |
|||
RCP72015soc 1st priority |
CF: SSP3-RCP7 climate & CO₂ | "2015soc" version of pre-industrial of pre-industrial control experiment runs | "2015soc" version of the historical period of the RCP2.6 experiment |
ssp370 |
| DHF: fixed at 2015 levels for all periods |
2015soc |
|||
RCP7nat 2nd priority |
CF: SSP3-RCP7 climate & CO₂ | "nat" version of pre-industrial of pre-industrial control experiment runs | "nat" version of the historical period of the RCP2.6 experiment |
ssp370 |
| DHF: No direct human influences |
nat |
|||
RCP8.5histsoc 1st priority |
CF: SSP5-RCP8.5 climate & CO₂ | "histsoc" version of pre-industrial of pre-industrial control experiment runs | "histsoc" version of the historical period of the RCP2.6 experiment |
ssp585 |
| DHF: varying management before 2015, then fixed at 2015 levels thereafter |
2015soc |
|||
RCP8.52015soc 1st priority |
CF: SSP5-RCP8.5 climate & CO₂ | "2015soc" version of pre-industrial of pre-industrial control experiment runs | "2015soc" version of the historical period of the RCP2.6 experiment |
ssp585 |
| DHF: fixed at 2015 levels for all periods |
2015soc |
|||
RCP8.5nat 2nd priority |
CF: SSP5-RCP8.5 climate & CO₂ | "nat" version of pre-industrial of pre-industrial control experiment runs | "nat" version of the historical period of the RCP2.6 experiment |
ssp585 |
| DHF: No direct human influences |
nat |
Note regarding models requiring spin-up
For models requiring spin-up, please use the pre-industrial control data and CO₂ concentration and DHF fixed at 1850 levels for the spin up as long as needed. Please note that the "pre-industrial control run" from 1601-1849 is part of the regular experiments that should be reported and hence the spin-up has to be finished before that.
Input data
The base directory for input data at DKRZ is:
/work/bb0820/ISIMIP/ISIMIP3b/InputData/
Further information on accessing ISIMIP data can be found at ISIMIP - getting started.
Some of the datasets are tagged as mandatory. This does not mean that the data must be used in all cases, but if your models uses input data of this kind, we require to use the specified dataset. If an alterntive data set is used instead, we cannot consider it an ISIMIP simulation. If the mandatory label is not given, you may use alternative data (please document this clearly).
Climate forcing
The climate forcing input files can be found on DKRZ using the following pattern:
climate/ocean/uncorrected/global/monthly/<climate-scenario>/<climate-forcing>/<climate-forcing>_<ensemble-member>_<climate-scenario>_<climate-variable>_onedeg_global_daily_<start-year>_<end-year>.nc # 1° grid
climate/ocean/uncorrected/global/monthly/<climate-scenario>/<climate-forcing>/<climate-forcing>_<ensemble-member>_<climate-scenario>_<climate-variable>_halfdeg_global_daily_<start-year>_<end-year>.nc # 0.5° grid
Variable availability is mainly based on the data published in ESGF and may vary between the CMIP experiments.
Some variables are available as extracted versions from vertically resolved data. Their variable names have been suffixed with -bot (ocean bottom), -surf (surface values) or -vint (vertically integrated), respectively.
| Title | Specifier | Institution | Original resolution | Ensemble member | Priority |
|---|---|---|---|---|---|
| GFDL-ESM4 | gfdl-esm4 | National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA | 720x576 | r1i1p1f1 | 1 |
| UKESM1-0-LL | ukesm1-0-ll | Met Office Hadley Centre, Fitzroy Road, Exeter, Devon, EX1 3PB, UK | 360x330 | r1i1p1f2 | 2 |
| MPI-ESM1-2-HR | mpi-esm1-2-hr | Max Planck Institute for Meteorology, Hamburg 20146, Germany | 802x404 | r1i1p1f1 | 3 |
| IPSL-CM6A-LR | ipsl-cm6a-lr | Institut Pierre Simon Laplace, Paris 75252, France | 362x332 | r1i1p1f1 | 4 |
Note on climate forcing priority
The priority for the different climate forcing datasets is from top to bottom. If you cannot use all climate forcing datasets, please concentrate on those at the top of the table.
| Variable | Variable specifier | Unit | Resolution | Models | ||
|---|---|---|---|---|---|---|
| Ocean variables mandatory | ||||||
| Mass Concentration of Total Phytoplankton Expressed as Chlorophyll | chl | kg m-3 |
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| Sea Floor Depth | deptho | m |
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| Downward Flux of Particulate Organic Carbon | expc-bot | mol m-2 s-1 |
|
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| Particulate Organic Carbon Content | intpoc | kg m-2 |
|
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| Primary Organic Carbon Production by All Types of Phytoplankton | intpp | mol m-2 s-1 |
|
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| Net Primary Organic Carbon Production by Diatoms | intppdiat | mol m-2 s-1 |
|
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| Net Primary Mole Productivity of Carbon by Diazotrophs | intppdiaz | mol m-2 s-1 |
|
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| Maximum Ocean Mixed Layer Thickness Defined by Sigma T | mlotstmax | m |
|
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| Dissolved Oxygen Concentration | o2, o2-bot, o2-surf | mol m-3 |
|
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| pH | ph, ph-bot, ph-surf | 1 |
|
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| Phytoplankton Carbon Concentration | phyc, phyc-vint | mol m-3 |
|
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| Mole Concentration of Diatoms expressed as Carbon in sea water | phydiat, phydiat-vint | mol m-3 |
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| Mole Concentration of Diazotrophs Expressed as Carbon in Sea Water | phydiaz, phydiaz-vint | mol m-3 |
|
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| Primary Carbon Production by Total Phytoplankton | pp | mol m-3 s-1 |
|
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| Sea Water Salinity | so, so-bot, so-surf | 0.001 |
|
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| Net Downward Shortwave Radiation at Sea Water Surface | rsntds | W m-2 |
|
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| Sea Ice Area Fraction | siconc | % |
|
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| Sea Water Potential Temperature | thetao | °C |
|
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| Ocean Model Cell Thickness | thkcello | m |
|
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| Sea Water Potential Temperature at Sea Floor | tob | °C |
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| Sea Surface Temperature | tos | °C |
|
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| Sea Water X Velocity | uo | m s-1 |
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| Sea Water Y Velocity | vo | m s-1 |
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| Sea Water Z Velocity | wo | m s-1 |
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| Mole Concentration of Mesozooplankton expressed as Carbon in sea water | zmeso, zmeso-vint | mol m-3 |
|
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| Mole Concentration of Microzooplankton expressed as Carbon in sea water | zmicro, zmicro-vint | mol m-3 |
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| Zooplankton Carbon Concentration | zooc, zooc-vint | mol m-3 |
|
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Other climate datasets
| Variable | Variable specifier | Unit | Resolution | Datasets | ||
|---|---|---|---|---|---|---|
| Atmospheric composition mandatory | ||||||
|
Atmospheric CO2 concentration |
climate/atmosphere_composition/co2/<climate-scenario>/co2_<climate-scenario>_annual_<start_year>_<end_year>.txt
|
|||||
| co2 | ppm |
|
Meinshausen, Raper, & Wigley (2011) for 1850-2005 and 2016-2100 and Dlugokencky & Tans (2019) from 2006-2015 |
|||
Socioeconomic forcing
| Dataset | Included variables (specifier) | Covered time period | Resolution | Reference/Source and Comments | ||
|---|---|---|---|---|---|---|
| Fishing mandatory | ||||||
|
Fishing effort |
socioeconomic/fishing/effort_historical_1950_2014.csv
|
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|
|
|
Data comprise the nominal effort of industrial and artisanal fleets aggregated into 6 functional groups. Source: Rousseau et al., 2019, PNAS 116 (25) 12238-12243. |
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|
Fish catch |
socioeconomic/fishing/catch_historical_1950_2014.csv
|
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|
|
|
Data comprise the nominal effort of industrial and artisanal fleets aggregated into 6 functional groups. Reference for data source: Watson and Tidd, 2018, Marine Policy, 93: 171-177. |
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| Population mandatory | ||||||
|
Population 5' grid |
socioeconomic/pop/<soc_scenario>/population_<soc_scenario>_5arcmin_annual_<start-year>_<end-year>.nc
|
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HYDE v3.2.1 (Klein Goldewijk et al., 2017). Decadal data prior to year 2000 have been linearly interpolated in time. |
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Population 0.5° grid |
socioeconomic/pop/<soc_scenario>/population_<soc_scenario>_30arcmin_annual_<start-year>_<end-year>.nc
|
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HYDE v3.2.1 (Klein Goldewijk et al., 2017). Decadal data prior to year 2000 have been linearly interpolated in time. Aggregated to 0.5° spatial resolution |
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Population national |
socioeconomic/pop/<soc_scenario>/population_<soc_scenario>_national_annual_<start-year>_<end-year>.csv
|
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HYDE v3.2.1 (based on WPP 2017 revision, following the methodology of Klein Goldewijk et al., 2017). Decadal data prior to year 1950 have been linearly interpolated in time. |
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Population density 5' grid |
socioeconomic/pop/<soc_scenario>/population-density_<soc_scenario>_5arcmin_annual_<start-year>_<end-year>.nc
|
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HYDE v3.2.1 (Klein Goldewijk et al., 2017). Decadal data prior to year 2000 have been linearly interpolated in time. |
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Population density 0.5° grid |
socioeconomic/pop/<soc_scenario>/population-density_<soc_scenario>_30arcmin_annual_<start-year>_<end-year>.nc
|
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HYDE v3.2.1 (Klein Goldewijk et al., 2017). Decadal data prior to year 2000 have been linearly interpolated in time. Aggregated to 0.5° spatial resolution |
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Population density national |
socioeconomic/pop/<soc_scenario>/population-density_<soc_scenario>_national_annual_<start-year>_<end-year>.csv
|
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HYDE v3.2.1 (based on WPP 2017 revision, following the methodology of Klein Goldewijk et al., 2017). Decadal data prior to year 1950 have been linearly interpolated in time. |
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| GDP mandatory | ||||||
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GDP |
socioeconomic/gdp/<soc_scenario>/<soc_scenario>_gdp_annual_<start-year>_<end-year>.nc
|
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Historic country-level GDP data are an extension of the data provided by Geiger, 2018 (https://www.earth-syst-sci-data.net/10/847/2018/essd-10-847-2018.html), and are derived mainly from the Maddison Project database. Gridded GDP data will be provided by c. 07/2021. |
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Geographic data and information
| Dataset | Included variables (specifier) | Resolution | Reference/Source and Comments | |||
|---|---|---|---|---|---|---|
| Land/Sea masks | ||||||
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landseamask |
geo_conditions/landseamask/landseamask.nc
|
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|
0.5° grid | This is the land-sea mask of the W5E5 dataset (Lange, 2019a; Cucchi et al., 2020). Over all grid cells marked as land by this mask, all climate data that are based on W5E5 (GSWP3-W5E5 as well as climate data bias-adjusted using W5E5) are guaranteed to represent climate conditions over land. |
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landseamask_no-ant |
geo_conditions/landseamask/landseamask_no-ant.nc
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0.5° grid | Same as landseamask but without Antarctica. |
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landseamask_water-global |
geo_conditions/landseamask/landseamask_water-global.nc
|
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0.5° grid | This is the generic land-sea mask from ISIMIP2b that is to be used for global water simulations in ISIMIP3. It marks more grid cells as land than landseamask. Over those additional land cells, the climate data that are based on W5E5 (GSWP3-W5E5 as well as climate data bias-adjusted using W5E5) are not guaranteed to represent climate conditions over land. Instead they may represent climate conditions over sea or a mix of conditions over land and sea. |
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Output data
ISIMIP output variables are usually reported with the dimensions (time,lat,lon). For variables with a number of levels (e.g. layers or depth), an alternative set of dimensions is given in the comment column in the table below. More information about level dimensions can be found here and here on the ISIMIP webpage.
Please note that unless otherwise defined, the variables in ISIMIP should be reported relative to the grid cell land area.
Output variables
| Variable long name | Variable specifier | Unit | Resolution | Comments | ||
|---|---|---|---|---|---|---|
| Mandatory output from global and regional models (provide as many as possible). All biomasses are in wet weight, not g C. | ||||||
| Total Consumer Biomass Density | tcb | g m-2 |
|
All consumers (trophic level >1, vertebrates and invertebrates) |
||
| Total Consumer Biomass Density in log10 Weight Bins | tcblog10 | g m-2 |
|
Level dimensions: (time, bins, lat, lon). If the model is size-structured, please provide biomass in equal log10 g C weight bins (1g, 10g, 100g, 1kg, 10kg, 100kg) and use the dimensions stucture mentioned above |
||
| Total Pelagic Biomass Density | tpb | g m-2 |
|
All pelagic consumers (trophic level >1, vertebrates and invertebrates) |
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| Total Catch (all commercial functional groups / size classes) | tc | g m-2 |
|
Catch at sea (commercial landings plus discards, fish and invertebrates) |
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| Total Catch in log10 Weight Bins | tclog10 | g m-2 |
|
Level dimensions: (time, bins, lat, lon). If the model is size-structured, please provide catch in equal log10 g C weight bins (1g, 10g, 100g, 1kg, 10kg, 100kg) and use the dimensions stucture mentioned above. |
||
| Total Pelagic Catch | tpc | g m-2 |
|
Catch at sea of all pelagic consumers (trophic level >1, vertebrates and invertebrates) |
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| Total Demersal Catch | tdc | g m-2 |
|
Catch at sea of all demersal consumers (trophic level >1, vertebrates and invertebrates) |
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| Optional output from global and regional models. All biomasses are in wet weight, not g C. | ||||||
| Biomass Density of Small Pelagics <30cm | bp30cm | g m-2 |
|
If a pelagic species and L infinity is <30 cm, include in this variable |
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| Biomass Density of Medium Pelagics >=30cm and <90cm | bp30to90cm | g m-2 |
|
If a pelagic species and L infinity is >=30 cm and <90cm, include in this variable |
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| Biomass Density of Large Pelagics >=90cm | bp90cm | g m-2 |
|
If a pelagic species and L infinity is >=90cm, include in this variable |
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| Biomass Density of Small Demersals <30cm | bd30cm | g m-2 |
|
If a demersal species and L infinity is <30 cm, include in this variable |
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| Biomass Density of Medium Demersals >=30cm and <90cm | bd30to90cm | g m-2 |
|
If a demersal species and L infinity is >=30 cm and <90cm, include in this variable |
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| Biomass Density of Large Demersals >=90cm | bd90cm | g m-2 |
|
If a demersal species and L infinity is >=90cm, include in this variable |
||
| Catch Density of Small Pelagics <30cm | cp30cm | g m-2 |
|
Catch at sea of pelagic species with L infinity <30 cm |
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| Catch Density of Medium Pelagics >=30cm and <90cm | cp30to90cm | g m-2 |
|
Catch at sea of pelagic species with L infinity >=30 cm and <90 cm |
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| Catch Density of Large Pelagics >=90cm | cp90cm | g m-2 |
|
Catch at sea of pelagic species with L infinity >=90 cm |
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| Catch Density of Small Demersals <30cm | cd30cm | g m-2 |
|
Catch at sea of demersal species with L infinity <30 cm |
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| Catch Density of Medium Demersals >=30cm and <90cm | cd30to90cm | g m-2 |
|
Catch at sea of demersal species with L infinity >=30 cm and <90 cm |
||
| Catch Density of Large Demersals >=90cm | cd90cm | g m-2 |
|
Catch at sea of demersal species with L infinity >=90 cm |
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| Other | ||||||
| Total Demersal Biomass Density | tdb | g m-2 |
|
All demersal consumers (trophic level >1, vertebrates and invertebrates) |
||
Ocean regions
| Ocean region | Specifier | Coordinates (west, south, east, north) |
|---|---|---|
| North Sea | north-sea | -4.5, 50.5, 9.5, 62.5 |
| Baltic Sea | baltic-sea | 15.5, 55.5, 23.5, 64.5 |
| North-west Meditteranean | nw-med-sea | -1.5, 36.5, 6.5, 43.5 |
| Adriatic Sea | adriatic-sea | 11.5, 39.5, 20.5, 45.5 |
| Mediterranean Sea | med-glob | -6.5, 29.5, 35.5, 45.5 |
| South-East Australia | se-australia | 120.5, -47.5, 170.5, -23.5 |
| Eastern Bass Strait | east-bass-strait | 145.5, -41.5, 151.5, -37.5 |
| Cook Strait | cook-strait | 174.5, -46.5, 179.5, -40.5 |
| North Humboldt Sea | humboldt-n | -93.5, -20.5, -69.5, 6.5 |
Reporting model results
The specification on how to submit the data, as well as further information and instructions are given on the ISIMIP website at:
https://www.isimip.org/protocol/preparing-simulation-files
It is important that you comply precisely with the formatting specified there, in order to facilitate the analysis of your simulation results in the ISIMIP framework. Incorrect formatting can seriously delay the analysis. The ISIMIP Team will be glad to assist with the preparation of these files if necessary.
File names consist of a series of identifier, separated by underscores. Things to note:
- Report one variable per file
- In filenames, use lowercase letters only
- Use underscore (
_) to separate identifiers - Variable names consist of a single word without hyphens or underscores
- Use hyphens (
-) to separate strings within an identifier, e.g. in a model name - If no specific
sens-scenariois given in the experiments table, usedefault. - NetCDF file extension is
.nc
Please name the files in the Fisheries and Marine Ecosystems (regional) sector according to the following pattern:
<model>_<climate-forcing>_<bias-adjustment>_<climate-scenario>_<soc-scenario>_<sens-scenario>_<variable>_<ocean-region>_<time-step>_<start-year>_<end-year>.nc
and replace the identifiers with the specifiers given in the tables of this document. Examples would be:
lpjml_gfdl-esm4_w5e5_picontrol_histsoc_default_qtot_global_annual_2001_2010.nc
lpjml_ukesm1-0-ll_w5e5_ssp585_2015soc_2015co2_yield-mai-noirr_global_annual_2006_2010.nc
The following regular expression can be used to validate and parse the file name for the fisheries and marine ecosystems (regional) sector:
(?P<model>[a-z0-9-+.]+)_(?P<climate_forcing>[a-z0-9-]+)_(?P<bias_adjustment>[a-z0-9-]+)_(?P<climate_scenario>[a-z0-9-]+)_(?P<soc_scenario>[a-z0-9-]+)_(?P<sens_scenario>[a-z0-9-]+)_(?P<variable>[a-z0-9]+)_(?P<ocean_region>[a-z0-9-]+)_(?P<time_step>[a-z0-9-]+)_(?P<start_year>\d{4})_(?P<end_year>\d{4}).nc
For questions or clarifications, please contact info@isimip.org or the data managers directly (isimip-data@pik‐potsdam.de) before submitting files.
References
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