Overview
- Introductory CAPRI Training Session and GAMS Tutorial Announcement We are thrilled to announce that this year's Introductory CAPRI Training Session will take place from 23 to 26 September 2024. In addition, we are offering a voluntary GAMS tutorial for those with no prior experience with the GAMS modeling language, scheduled from 27 to 30 August 2024. To participate in the course, please register here. Please note that completing a self-study tutorial is a prerequisite for participating in the course. We look forward to your participation!
older News:
- CAPRI Developer Meeting 2024 The Capri Developer Meeting 2024 will take place on the 27th-28th February in Berlin (on the Campus Nord of the Humboldt University; Hannoversche Straße 27, 10115 Berlin. Haus 12. (Room 2.01)). For further information please contact: davide.pignotti@thuenen.de. The aim of the CAPRI Advanced Training Session (Developer Meeting) is to organize knowledge transfer between developers, experienced users and other participants in the form of presentations on various new developments in CAPRI. Participants will be informed about the relevance, underlying theory, data and technical implementation and will have the opportunity to discuss the new modules. Here you can find the agenda. (last update: 23/02/24)
- GAMS pre-course as part of the CAPRI online Training Session 2023 successfully completed!!! The GAMS beginners course took place from 6th-8th September. In three days, 15-20 participants learned the basics of the mathematical programming language GAMS and how it can be used to describe the supply side of CAPRI using a didactic model. (last update: 11/09/23)
- Maintenance release 2.7 and associated results are available for download. The release fixes some market model problems and uses the “new” feed distribution by default. Get the new release from this page
Impressum
Inhaltlich Verantwortlicher 10 Absatz 3 MDStV: Alexander Gocht, Bundesallee 50, D-38116 Braunschweig und Heinz-Peter Witzke, Nussallee 21, D-53115 Bonn Haftungshinweis Trotz sorgfältiger inhaltlicher Kontrolle übernehmen wir keine Haftung für die Inhalte externer Links. Für den Inhalt der verlinkten Seiten sind ausschließlich deren Betreiber verantwortlich.
Selected environmental indicators at 1x1 km grid resolution- DNDC link and Statistical Meta Model from DNDC
Main Contributors for DNDC link: Adrian Leip
Main Contributor for statistical meta model: Wolfgang Britz, Adrian Leip
DNDC for DeNitrification-DeComposition is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. The model can be used for predicting crop growth, soil temperature and moisture regimes, soil carbon dynamics, nitrogen leaching, and emissions of trace gases including nitrous oxide (N2O), nitric oxide (NO), dinitrogen (N2), ammonia (NH3), methane (CH4) and carbon dioxide (CO2). At JRC, the DNDC model is currently used by the Climate Change Unit, Greenhouse gases in Agriculture, Forestry and other Land Uses Action of JRC.
For represenative combination of crops and soils for each NUTS II regions, DNDC runs were performed, systematically changing mineral and organic application rates, and allowing for irrigation or not. Each run covered 100 years to allow for a stabilization of the carbon and nitrogen content of the soil. The observations from those about 100.000 simulation runs were used to estimate statistical regression models per crop for selected output variables of DNDC:
- Water and nitrogen leached
- Gaseous emission of nitrogen: NO, N2, NH3
- Water transpirated and water evaporated
- Crop yields
using soil and climatic parameters, as well as potential yields and fertilizer application rates as explanatory variables. In more then 70% of the cases, the R2 was above 85% with all variables at a significance level above 0.1%. Given that perfect calibration of the DNDC crop yields at the estimated fertilizer application rates to those estimated from MARS potential yields and scaled to be consistent to the one observed at NUTS II level would be impossible, the potential yields are re-calibrated in the forecasting step.
More information
Wolfgang Britz and Adrian Leip:
A statistical meta model of DNDC to estimate nitrogen fate and the water cycle at 1x1 km grid at Pan-European scale, JRC, 2007 (pdf, foils)
Leip, A., Marchi, G., Koeble, R., Kempen, Britz W. and Li, C.:
Linking an economic model for European agriculture with a mechanistic model to estimate nitrogen losses from cropland soil in Europe
Biogeosciences, 5(1): 73-94A
Last Updated:Tuesday, October 28, 2008
