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sector:agriculture:start [2026/04/01 09:18] – kotzullasector:agriculture:start [2026/06/15 12:40] (current) – [Specific QA/QC procedures for the agriculture sector] tarakji
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 The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Vos et al. (2026), Chapter 1.3)[(VOSETAL2026)].   The following list summarizes the most important reasons for recalculations. Recalculations result from improvements in input data and methodologies (for details see Vos et al. (2026), Chapter 1.3)[(VOSETAL2026)].  
   -  Adding of a transport module in the inventory model PY-GAS-EM: substrate transports to biogas plants and manure transports across district borders (NUTS 3 areas) are considered. Since manure application techniques differ between the NUTS 3 areas, this leads to slightly different NH<sub>3</sub> emissions at the federal level compared with the situation in the last submission without transports across district borders.   -  Adding of a transport module in the inventory model PY-GAS-EM: substrate transports to biogas plants and manure transports across district borders (NUTS 3 areas) are considered. Since manure application techniques differ between the NUTS 3 areas, this leads to slightly different NH<sub>3</sub> emissions at the federal level compared with the situation in the last submission without transports across district borders.
-  -  Mineral fertilizers: The NH<sub>3</sub> emission factors for straight fertilizers used in the last sub-mission (0.084 kg NH<sub>3</sub> per kg N) has been corrected to a lower value (0.024 NH<sub>3</sub> per kg N) following a correction in EMEP (2023).+  -  Mineral fertilizers: The NH<sub>3</sub> emission factors for straight fertilizers used in the last sub-mission (0.084 kg NH<sub>3</sub> per kg N) has been corrected to a lower value (0.024 NH<sub>3</sub> per kg N) following a correction in EMEP/EEA (2023)[(EMEPEEA2023)].
   -  Dairy cows: N and TAN excretions are now estimated from milk yield, milk urea content and protein content of milk instead of from the modeled feed.    -  Dairy cows: N and TAN excretions are now estimated from milk yield, milk urea content and protein content of milk instead of from the modeled feed. 
   -  Dairy cows: The officially recorded final milk yields for 2023 are significantly higher than the preliminary official figures used in the 2025 submission. This is due to an improved calculation method that will continue to be used in the future and which was subsequently applied for 2022. For reporting purposes a method was developed to adjust the officially recorded milk yields for the years before 2022 upwards, to achieve time series consistency.    -  Dairy cows: The officially recorded final milk yields for 2023 are significantly higher than the preliminary official figures used in the 2025 submission. This is due to an improved calculation method that will continue to be used in the future and which was subsequently applied for 2022. For reporting purposes a method was developed to adjust the officially recorded milk yields for the years before 2022 upwards, to achieve time series consistency. 
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 Furthermore, in addition to UNFCCC, UNECE and NEC reviews, the Py-GAS-EM model is continuously validated by experts of KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft, Association for Technology and Structures in Agriculture) and the EAGER group (European Agricultural Gaseous Emissions Inventory Researchers Network).  Furthermore, in addition to UNFCCC, UNECE and NEC reviews, the Py-GAS-EM model is continuously validated by experts of KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft, Association for Technology and Structures in Agriculture) and the EAGER group (European Agricultural Gaseous Emissions Inventory Researchers Network). 
  
-[(VOSETAL2026> Vos, C., Rösemann, C., Haenel, H.-D., Dämmgen, U., Döring, U., Wulf, S., Eurich-Menden, Döhler, H., Steuer, B., Osterburg, B., Fuß, R. (2026): Calculations of gaseous and particulate emissions from German agriculture 1990 – 2024: Report on methods and data (RMD) Submission 2026. www.eminv-agriculture.de, 2026)]+[(VOSETAL2026> Vos, C., Rösemann, C., Haenel, H.-D., Dämmgen, U., Döring, U., Wulf, S., Eurich-Menden, Döhler, H., Steuer, B., Osterburg, B., Fuß, R. (2026): Calculations of gaseous and particulate emissions from German agriculture 1990 – 2024: Report on methods and data (RMD) Submission 2026. https://git-dmz.thuenen.de/vos/emissionsagriculture2026/-/wikis/home, 2026)]
  
 [(BITTMANETAL2014> Bittman, S., Dedina, M., Howard C.M., Oenema, O., Sutton, M.A., (eds) (2014): Options for Ammonia Mitigation. Guidance from the UNECE task Force on Reactive Nitrogen. Centre for Ecology and Hydrology, Edinburgh, UK, 2014)] [(BITTMANETAL2014> Bittman, S., Dedina, M., Howard C.M., Oenema, O., Sutton, M.A., (eds) (2014): Options for Ammonia Mitigation. Guidance from the UNECE task Force on Reactive Nitrogen. Centre for Ecology and Hydrology, Edinburgh, UK, 2014)]
  
 +[(EMEPEEA2013> EMEP/EEA (2013): EMEP/EEA air pollutant emission inventory guidebook – 2013, https://www.eea.europa.eu/en/analysis/publications/emep-eea-guidebook-2013/part-b-sectoral-guidance-chapters/4-agriculture/3-b-manure-management/@@download/file; Copenhagen, 2013)]
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 +[(EMEPEEA2023> EMEP/EEA (2023): EMEP/EEA air pollutant emission inventory guidebook 2023, EEA Report No 06/2023, https://www.eea.europa.eu/en/analysis/publications/emep-eea-guidebook-2023.; Copenhagen, 2023)]
 +
 +[(UBA2026> UBA (2026): National Inventory Report (NID) 2026 for the German Greenhouse Gas Inventory 1990-2024. Dessau-Roßlau, April 2026.)]
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 +[(STEHFESTBOUWMAN2006> Stehfest E., Bouwman L. (2006): N2O and NO emission from agricultural fields and soils under natural vegetation: summarizing available measurement data and modelling of global emissions. Nutr. Cycl. Agroecosyst. 74, 207 – 228., https://doi.org/10.1007/s10705-006-9000-7; 2006 )]