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1 to 10 of 15 Results
Oct 13, 2023
Wang, Wenjie, 2022, "Measurement data of ozone pollution in Beijing", https://doi.org/10.17617/3.LEFS4A, Edmond, V5
Reference data for paper "Precise ozone mitigation strategy from the perspective of atmospheric oxidation capacity". When using the data, please refer to the paper mentioned above. If further data needed, please contact the corresponding authors.
Nov 18, 2022
Wang, Wenjie, 2022, "dataset of ozone pollution in Beijing", https://doi.org/10.17617/3.8A6SXQ, Edmond, V1
Reference data for paper "Precise ozone mitigation strategy from the perspective of atmospheric oxidation capacity". When using the data, please refer to the paper mentioned above. If further data needed, please contact the corresponding authors.
Nov 3, 2022
Thang, Nguyen Manh; Formolo, Michael; Flury, Sabine; Ferdelman, Timothy, 2022, "BONUS Baltic Gas Sediment Data from Gdansk Bay - R/V Oceania Expedition 2009", https://doi.org/10.17617/3.CKRIGM, Edmond, V1
Sediment pore water and solid phase data from Gdansk Bay. Collected during R/V Oceania expedition to Gdansk Bay in November 2009 in the framework of the BONUS Baltic Gas project.
Oct 24, 2022
Kleidon, Axel, 2022, "How to sustain the terrestrial biosphere in the Anthropocene? Datasets and Figures", https://doi.org/10.17617/3.F0Q6X2, Edmond, V1
This depository contains PDF versions of the figures of the paper as well as the scripts and data used to create the maps. Check the README file for description of individual files.
Aug 29, 2022
Zängl, Günther; Reinert, Daniel; Prill, Florian, 2022, "Grid Refinement in ICON v2.6.4 (research data)", https://doi.org/10.17617/3.NOC2AE, Edmond, V3
This dataset provides additional information (primary data, grids, namelists, etc.) related to the publication "Grid Refinement in ICON v2.6.4" submitted to Geoscientific Model Development. See the README_research_data.pdf file for further details.
Aug 25, 2022
Jordan, Armin; Moossen, Heiko; Rothe, Michael; Brand, Willi; Heimann, Martin; Rödenbeck, Christian, 2022, "Atmospheric flask sampling program of MPI-BGC, version 2022.1", https://doi.org/10.17617/3.ZQX1LI, Edmond, V1
This dataset contains the quality controlled, calibrated measurements of atmospheric greenhouse gas concentration and isotopic composition from air flask samples collected at a global network of stations. Version 2022.1 contains the observations from 2004 until early 2022. Sampli...
Aug 12, 2022
Linardakis, Leonidas, 2022, "Dataset for: Improving scalability of Earth System Models through coarse-grained component concurrency - a case study with the ICON v2.6.5 modelling system", https://doi.org/10.17617/3.FGFQZG, Edmond, V1
This dataset contains the ICON code, the experiments run scripts, and the experiments time results and the derived scaling values, for the article: "Improving scalability of Earth System Models through coarse-grained component concurrency - a case study with the ICON v2.6.5 model...
Aug 9, 2022
Giorgetta, Marco, 2022, "The ICON-A model for direct QBO simulations on GPUs", https://doi.org/10.17617/3.5CYUFN, Edmond, V2
This dataset provides additional information for the related publication, see below. Details for the content are given in the README.pdf file.
Aug 4, 2022
Sanchez, Sabrina, 2022, "MPG Geomagnetic field forecast from 2020 to 2120", https://doi.org/10.17617/3.MZGFPM, Edmond, V1
Geomagnetic field forecast from 2020 to 2120, based on the assimilation of COV-OBS.x1 (Gillet et al, 2015) and Kalmag (Baerenzung et al, 2020) by an ensemble of 3D dynamo simulations. The forecast was issued in the context of the IGRF-13 for geomagnetic field forecast between 202...
Jul 15, 2022
Hohenegger, Cathy, 2022, "Code for "ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales"", https://doi.org/10.17617/3.1XTSR6, Edmond, V1
This dataset provides the model source code for the simulations described in the publication "ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales" submitted to Geoscientific Model Development (GMD)
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