Marine Klimaforschung


Hier finden Sie Modell- und Datenbasen, die wir verwenden bzw. empfehlen.

Numerical Modelling

  • Nucleus for European Modelling (NEMO)
    NEMO (Nucleus for European Modelling of the Ocean) is a state-of-the-art modeling framework for oceanographic research, operational oceanography seasonal forecast and climate studies. NEMO is used by a large community: 240 projects in 27 countries (14 in Europe, 13 elsewhere), 350 registered users (numbers for year 2008). NEMO is available under CeCILL license (public license).
    To gain access to the system, you need to register.
  • Paleoclimate Modelling Intercomparison Project (PMIP)
    The Paleoclimate Modelling Intercomparison Project was a project to coordinate and encourage the systematic study of atmospheric general circulation models (AGCMs) and to assess their ability to simulate large climate changes such as those that occurred in the distant past. Project goals included identifying common responses of AGCMs to imposed paleoclimate "boundary conditions," understanding the differences in model responses, comparing model results with paleoclimate data, and providing AGCM results for use in helping in the analysis and interpretation of paleoclimate data. PMIP initially focused on the mid-Holocene (6,000 years before present) and the Last Glacial Maximum (21,000 yr BP). One of the goals of PMIP was to determine which scientific results are model-dependent. The PMIP experiments were limited to studying the equilibrium response of the atmosphere (and such surface characteristics as snow cover) to changes in boundary conditions (e.g., insolation, ice-sheet distribution, CO2).
  • Paleoclimate Modelling Intercomparison Project - Phase 2 (PMIP2)
    PMIP 2 continued to stimulate development and improvement of paleo-environmental data sets. As in PMIP 1, analyses focused on both model-model and model-data comparisons. The project studied the role of climate feedbacks arising for the different climate subsystems (atmosphere, ocean, land surface, sea ice and land ice) and evaluated the capability of state of the art climate models to reproduce climate states that are radically different from those of today. Results from both coupled ocean-atmosphere models and ocean-atmosphere-vegetation models were considered in this second phase.
  • Coupled Model Intercomparison Project (CIMP)
    Started in 1995, CMIP provides a community-based infrastructure in support of climate model diagnosis, validation, intercomparison, documentation and data access.

Data (atmosphere, ocean, continent)

    This Global Digital Elevation Model (GDEM) is the most detailed data set of continental elevations currently available to science. Based on the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), the NASA released the data in June 2009. The GDEM was created by processing and stereo-correlating the 1.3 million-scene ASTER archive of optical images, covering Earth's land surface between 83 degrees North and 83 degrees South latitudes. The GDEM is produced with 30-meter (98-feet) postings, and is formatted as 23,000 one-by-one- degree tiles. The GDEM is available for download from NASA's EOS data archive and free of charge.
  • CMIP3 multi-model dataset
    The CMIP3 dataset is "the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset". Ten global climate models were compared, and the results included in the IPCC report IV. The data can be downloaded and used for scientific studies at this website, maintained by the Center for Climatic Research.
  • JRA-25 Atlas
    Quality-controlled observational data from past decades and the latest numerical assimilation and prediction technology were used to produce a long-term record of the state of the atmosphere. The reanalysis covers the 26-year period from 1979 to 2004, and provides consistent and high-quality data. The JRA-25 product is widely used for research on meteorology and climatology, as well as for operational climate monitoring and seasonal forecasting. Maps of annual, seasonal and monthly averaged climate fields of various meteorological variables from the JRA-25 products have been archived as the JRA-25 Atlas. The Atlas is free to be used for research and education.
  • NCEP data
    The United States National Centers for Environmental Prediction (NCEP) delivers national and global weather, water, climate and space weather guidance. Some of their data can be visualised directly at this website. Linear Correlations in Atmospheric Seasonal/Monthly Averages from 1948 to 2009 can be downloaded here.
  • Climate Explorer
    This data collection is maintained by Geert jan van Oldenborgh and includes detailed Dutch meteorological data from KNMI (Royal Netherlands Meteorological Institute) but also other data sets. Registration is necessary for several applications.