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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31 to 40 of 41 Results
5_Precip_Reconstruction.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 - 557.1 KB - MD5: 8324b04aef79baaa64e5c07ecc02fc6a
Code
This notebook will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data
5_Precip_Reconstruction.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 - 21.7 KB - MD5: 51f4f64aba511a2b0c61bcf4e4a34c5a
Code
This code will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data
Age_depth_models.txt
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Plain Text - 1.0 KB - MD5: dfd566a1d8d9674b85545246dd78122b
Code
rbacon code for age/depth models
BDM1-7dates.tab
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Tabular Data - 269 B - 5 Variables, 9 Observations - UNF:6:sRazKBE7YsXHLsA1uOO5Gw==
Data
14C dates of core BDM1-7 with topcore assigned to year 2019
CEN-17.4dates.tab
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Tabular Data - 747 B - 5 Variables, 24 Observations - UNF:6:HUgIdSVW3yTYTdxEsVPikQ==
Data
14C dates of core CEN-17.4 with topcore assigned to year 2014
LOK-5-5dates.tab
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Tabular Data - 284 B - 5 Variables, 10 Observations - UNF:6:M6e3BLVRS8Uz3IwpqSIgig==
Data
14C dates of core LOK5-5 with topcore assigned to year 2020
ReadMe_Age_depth_models.txt
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Plain Text - 637 B - MD5: 2cd19f3543b6f034e0f54528b4cef90d
Documentation
Contents summary
ReadMe_Tropical_peats.txt
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Plain Text - 5.1 KB - MD5: 5fcb477530e3b48365d2d4db52fb4ad9
Documentation
Contents summary
requirements.txt
Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis
Plain Text - 2.5 KB - MD5: f2917372e009c14f124564152f426265
CodeDocumentation
File containing the reference parameters used to calibrate all the maps
Tools.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 - 1007 B - MD5: d12500b3c5721c815a91fe5bef2e501e
Code
Tool to deal with memory and CPU issues
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