The implication of input data aggregation on upscaling of soil organic carbon changes

  1. Grosz, Balazs Peter
  2. Dechow, René
  3. Hoffmann, Holger ORCID logo
  4. Zhao, Gang
  5. Constantin, Julie
  6. Raynal, Helene
  7. Wallach, Daniel ORCID logo
  8. coucheney, elsa ORCID logo
  9. Lewan, Elisabet ORCID logo
  10. Eckersten, Henrik
  11. Specka, Xenia ORCID logo
  12. Kersebaum, Kurt Christian ORCID logo
  13. Nendel, Claas ORCID logo
  14. Kuhnert, Matthias
  15. Yeluripati, Jagadeesh ORCID logo
  16. Kiese, Ralf ORCID logo
  17. Haas, Edwin ORCID logo
  18. Klatt, Steffen
  19. Teixeira, Edmar ORCID logo
  20. Bindi, Marco
  21. Trombi, Giacomo
  22. Moriondo, Marco ORCID logo
  23. DORO, Luca ORCID logo
  24. Roggero, Pier Paolo ORCID logo
  25. Zhao, Zhigan ORCID logo
  26. Wang, Enli ORCID logo
  27. Vanuytrecht, Eline ORCID logo
  28. Tao, Fulu
  29. Rötter, Reimund ORCID logo
  30. Cammarano, Davide ORCID logo
  31. Asseng, Senthold ORCID logo
  32. Weihermüller, Lutz ORCID logo
  33. Siebert, Stefan ORCID logo
  34. Gaiser, Thomas
  35. Ewert, Frank

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WeightNameValue
1000 Titel
  • The implication of input data aggregation on upscaling of soil organic carbon changes
1000 Autor/in
  1. Grosz, Balazs Peter |
  2. Dechow, René |
  3. Hoffmann, Holger |
  4. Zhao, Gang |
  5. Constantin, Julie |
  6. Raynal, Helene |
  7. Wallach, Daniel |
  8. coucheney, elsa |
  9. Lewan, Elisabet |
  10. Eckersten, Henrik |
  11. Specka, Xenia |
  12. Kersebaum, Kurt Christian |
  13. Nendel, Claas |
  14. Kuhnert, Matthias |
  15. Yeluripati, Jagadeesh |
  16. Kiese, Ralf |
  17. Haas, Edwin |
  18. Klatt, Steffen |
  19. Teixeira, Edmar |
  20. Bindi, Marco |
  21. Trombi, Giacomo |
  22. Moriondo, Marco |
  23. DORO, Luca |
  24. Roggero, Pier Paolo |
  25. Zhao, Zhigan |
  26. Wang, Enli |
  27. Vanuytrecht, Eline |
  28. Tao, Fulu |
  29. Rötter, Reimund |
  30. Cammarano, Davide |
  31. Asseng, Senthold |
  32. Weihermüller, Lutz |
  33. Siebert, Stefan |
  34. Gaiser, Thomas |
  35. Ewert, Frank |
1000 Erscheinungsjahr 2015
1000 LeibnizOpen
1000 Publikationstyp
  1. Kongressschrift |
  2. Artikel |
1000 Online veröffentlicht
  • 2015-05-11
1000 Erschienen in
1000 Quellenangabe
  • 5:SP5-19
1000 FRL-Sammlung
1000 Übergeordneter Kongress
1000 Copyrightjahr
  • 2015
1000 Verlagsversion
  • https://ojs.macsur.eu/index.php/Reports/article/view/SP5-19 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • In regionalization studies the spatial resolution of driving data is often restricted by data availability or limited computational capacity. Method and level of spatial driver aggregation in upscaling studies are sources of uncertainty and might bias aggregated model results. The suitability of upscaled model results using aggregated driving data depends on both the sensitivity of the model to these model drivers and the scale of interest to which the model output will be aggregated. An important component of soil plant atmosphere systems is the soil organic matter content influencing GHG emissions and the soil fertility of croplands. The implications of driver aggregation schemes on different system properties of croplands have been examined in a scaling exercise within the joint research project MACSUR. In this study, meteorological driving data and data on soil properties on several aggregation levels have been used to calculate the organic carbon change of cropland soils of North Rhine-Westphalia with an ensemble of biogeochemical models. The results of this scaling exercise show that the aggregation of meteorological data has little impact on modeled soil organic carbon changes. However, model uncertainty increases slightly with decreasing scale of interest from NUTS 2 level to smaller grid cell size. Conversely, the aggregation of soil properties resulted in high uncertainty ranges constraining the predictable scale of interest for all models. The study gives an indication on adequate spatial aggregation schemes in dependence on the scope of regionalization studies addressing soil organic carbon changes.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006413549 |
1000 Liste der Beteiligten
  1. http://d-nb.info/gnd/1047871750|http://d-nb.info/gnd/13314917X|https://orcid.org/0000-0001-9811-5065|https://frl.publisso.de/adhoc/uri/WmhhbywgR2FuZw==|https://frl.publisso.de/adhoc/uri/Q29uc3RhbnRpbiwgSnVsaWU=|https://frl.publisso.de/adhoc/uri/UmF5bmFsLCBIZWxlbmU=|https://orcid.org/0000-0003-3500-8179|https://orcid.org/0000-0001-5988-2085|https://orcid.org/0000-0001-9662-3410|https://frl.publisso.de/adhoc/uri/RWNrZXJzdGVuLCBIZW5yaWs=|https://orcid.org/0000-0002-1890-0192|https://orcid.org/0000-0002-3679-8427|https://orcid.org/0000-0001-7608-9097|https://frl.publisso.de/adhoc/uri/S3VobmVydCwgTWF0dGhpYXM=|https://orcid.org/0000-0003-3107-2595|https://orcid.org/0000-0002-2814-4888|https://orcid.org/0000-0003-0664-642X|https://frl.publisso.de/adhoc/uri/S2xhdHQsIFN0ZWZmZW4=|https://orcid.org/0000-0002-4835-0590|http://d-nb.info/gnd/1079245189|https://frl.publisso.de/adhoc/uri/VHJvbWJpLCBHaWFjb21v|https://orcid.org/0000-0002-8356-7517|https://orcid.org/0000-0003-1404-2255|https://orcid.org/0000-0002-7269-4334|https://orcid.org/0000-0003-1533-7215|https://orcid.org/0000-0002-6653-5791|https://orcid.org/0000-0002-1247-6183|https://frl.publisso.de/adhoc/uri/VGFvLCBGdWx1|https://orcid.org/0000-0002-3804-9964|https://orcid.org/0000-0003-0918-550X|https://orcid.org/0000-0002-7583-3811|https://orcid.org/0000-0003-1991-7735|https://orcid.org/0000-0002-9998-0672|http://d-nb.info/gnd/1147126089|http://d-nb.info/gnd/137278721
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Bundesministerium für Ernährung und Landwirtschaft |
1000 Fördernummer
  1. 2812ERA115
  2. 2812ERA115
1000 Förderprogramm
  1. Modeling European Agriculture with Climate Change for Food Security (MACSUR)
  2. Modeling European Agriculture with Climate Change for Food Security (MACSUR)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Modeling European Agriculture with Climate Change for Food Security (MACSUR)
    1000 Fördernummer 2812ERA115
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Ernährung und Landwirtschaft |
    1000 Förderprogramm Modeling European Agriculture with Climate Change for Food Security (MACSUR)
    1000 Fördernummer 2812ERA115
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6413549.rdf
1000 Erstellt am 2019-03-26T12:55:36.523+0100
1000 Erstellt von 218
1000 beschreibt frl:6413549
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Tue Oct 25 17:14:57 CEST 2022
1000 Objekt bearb. Tue Oct 25 17:14:57 CEST 2022
1000 Vgl. frl:6413549
1000 Oai Id
  1. oai:frl.publisso.de:frl:6413549 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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