European Centre for Research and Teaching in Environmental Geoscience

CEREGE (Centre Européen de Recherche et d’Enseignement de Géosciences de l’Environnement) is a joint research center located in Provence, at the Technopôle Environnement Arbois Méditerranée, Petit Plateau de l’Arbois (Aix-en-Provence, Les Milles) and on the St Charles campus of AMU in Marseille. Thanks to its theoretical, methodological, and technological approaches to research, CEREGE is strongly interdisciplinary.

Research themes
  • Climate
  • Sustainable Environment
  • Earth and Planets
  • Ressources, Réservoirs and Hydrosystems
CEREGE regroups around 130 permanent staff (45 university lecturers and professors, 40 researchers and 45 engineers, technicians, and administrative staff), and 110 temporary staff including around 60 graduate students. CEREGE belongs to OSU-Institut PYTHEAS (Observatoire des Sciences de l’Univers), participates in the research federation ECCOREV (CNRS- INEE), contributes to two operations EQUIPEX : ASTER-CEREGE and NANO-ID, LABEX OT-Med and SERENADE (A*MIDEX).
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21 to 30 of 41 Results
2_America_Data_Import_Peat.ipynb
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Jupyter Notebook - 13.1 KB - MD5: 4acb1d26c60c15e8ad472188b965c80c
Code
This notebook will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles
2_America_Data_Import_Peat.py
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Python Source Code - 7.6 KB - MD5: ee5dc376ed5f2be49e4125105bde2bea
Code
This code will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles
2_Asia_Oceania_Data_Import_Peat.ipynb
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Jupyter Notebook - 12.6 KB - MD5: 45dd12aa67af30d36636be39e3436737
Code
This notebook will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles
2_Asia_Oceania_Data_Import_Peat.py
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Python Source Code - 7.3 KB - MD5: 7aadf793ebc05409196952a7e7477680
Code
This code will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles
2_Data_Import_Peat.ipynb
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Jupyter Notebook - 204.2 KB - MD5: 49714f9c6d1bba4ef193a86103fd83c4
Code
This notebook will download and process (reproject, union) peat shapefiles
2_Data_Import_Peat.py
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Python Source Code - 6.5 KB - MD5: 3b50a90ec99dc1f651bfabd5ce1faecc
Code
This code will download and process (reproject, union) peat shapefiles
3_Seasonality_Index.ipynb
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Jupyter Notebook - 331.4 KB - MD5: de477606342adce6dd7fecc70d03da0b
Code
This notebook will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)
3_Seasonality_Index.py
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Python Source Code - 9.2 KB - MD5: 9122c11174bdf1944f009d4fa8b4c973
Code
This code will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)
4_Tropical_Peats.ipynb
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Jupyter Notebook - 215.2 KB - MD5: aea19aa99261170a0c1ab8a775eb5622
Code
This notebook will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR
4_Tropical_Peats.py
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Python Source Code - 19.4 KB - MD5: 6761d5c0833253811a79547ff622a3ee
Code
This code will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR
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