Data.up

By following this link you certify that you adhere to the following condition for using these data:

You are using these data for marine SDM (Species Distribution Models) or marine SDM-related applications.
You properly cite the data in any publication.
You do not call these data CMIP6 data.

Dataset Name: CMIP6-SDM: Climate Model Intercomparison Project Phase 6 (CMIP6) regridded outputs for Species Distribution Models

Authors: Corentin Clerc (ETHZ) and Olivier Torres (LMD-ENS)

Description: The CMIP6-SDM dataset provides climate model simulations from the CMIP6 exercise, standardized in a common format for use by the marine species distribution models (SDM) community. It contains outputs from different models encompassing historical runs and two climate change scenarios (SSP126 and SSP585). This dataset is not intended for any other use; users seeking broader CMIP6 data should access the ESGF repository directly.

Directory Structure: CLIMATOLOGIES/SCENARIO/PERIOD/DEPTHLAYER

└── CLIMATOLOGIES

  ├── HISTORICAL
  │   └── 1991_2010
  │       ├── DEPTH_0_10
  │       ├── DEPTH_0_100
  │       └── DEPTH_200_300
  ├── SSP126
  │   ├── 2041_2060
  │   │   ├── DEPTH_0_10
  │   │   ├── DEPTH_0_100
  │   │   └── DEPTH_200_300
  │   └── 2081_2100
  │       ├── DEPTH_0_10
  │       ├── DEPTH_0_100
  │       └── DEPTH_200_300
  └── SSP585
      ├── 2041_2060
      │   ├── DEPTH_0_10
      │   ├── DEPTH_0_100
      │   └── DEPTH_200_300
      └── 2081_2100
          ├── DEPTH_0_10
          ├── DEPTH_0_100
          └── DEPTH_200_300

Each folder contains a list of monthly climatologies for the specified period at specified depth layers (0-10m, 0-100m, and 200-300m)

Data Specifications:

Spatial Resolution: 1 degree
Grid Size: 360×180
Temporal Resolution: Monthly

Variables Included (in the original model units, that should be defined by CMIP6 standards):

Chlorophyll Concentration (chl)
Detritus Carbon Concentration (detoc)
Dissolved Iron Concentration (dfe)
Dissolved Inorganic Carbon Concentration (dissic)
Dissolved Organic Carbon Concentration (dissoc)
Mixed Layer Thickness (mlotst)
Nitrate Concentration (no3)
Dissolved Oxygen Concentration (o2)
pH
Phytoplankton Carbon Concentration (phyc)
Phosphate Concentration (po4)
Primary Production (pp)
Downward Shortwave Radiation at the Ocean Surface (rsdo)
Silicate Concentration (si)
Sea Water Salinity (so)
Sea Surface Partial Pressure of CO2 (spco2)
Total Alkalinity (talk)
Sea Water Potential Temperature (thetao)
Zooplankton Carbon Concentration (zooc)
Sea Surface Height (zos)

Data Processing Details:

All the files processed in this database come from the CMIP6 database and can be accessed and downloaded directly on ESGF (https://esgf-node.ipsl.upmc.fr/projects/cmip6-ipsl/). For the purposes of this project, only the main members have been processed (i.e. r1i1p1f1 or r1i1p1f2).
To homogenize this database and make the various models comparable easily, the files were regridded on a 1° resolution grid (360×180 grid). All files for each variable and each model underwent exactly the same treatment.
Files are first decompressed using Python's xarray module, then merged in time to obtain a single file (if several files represent the desired time period) using the CDO mergetime command. These files are then regridded using the CDO remapdis command. Special care is applied during this regridding step to ensure the presence of various bounds for smooth regridding.
Monthly Climatologies are computed from the horizontally regridded model outputs, using cdo ymonmean to compute monthly climatology and Ferret to extract vertical layers.
In this database, data are not regridded vertically, so each model remains on its initial vertical grid. Only one modification is applied to the CESM2 model, to change the unit of the vertical axis from centimeters to meters.

Usage Notes:

This dataset is specifically tailored for use by the marine species distribution models (SDM) community. Users seeking broader CMIP6 data for other purposes should access the ESGF repository directly. Users should refer to CMIP6 documentation for model-specific details and caveats. Monthly climatology data can be used for various climate analyses, including trend analysis, anomaly detection, and climate change impact assessments. Citation: [Insert citation for CMIP6 dataset]

[DESCRIPTION OF PREDICTORS FROM OBSERVATIONS]

— Corentin Clerc 2024/03/06 15:26

Blue-Cloud 2026

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