Global ammonia emissions from CAMEO throughout the century for 3 scenarios (2000-2100)
- 1. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Description
Global ammonia emissions from the CAMEO process-based model (general model description and evaluation can be found in Beaudor et al., 2023, GMD; https://doi.org/10.5194/gmd-16-1053-2023).
Monthly files containing global NH3 emissions and Manure application rates in gN.m2.yr-1 (2.5° lon x 1.27° lat; IPSL-CM6A-LR Earth System Model resolution):
1) total agricultural emissions (TOT_AGRI; the sum of manure management and agricultural soil emissions)
2) manure management emissions (MANURE_MANAG.)
3) agricultural soil emissions (SOIL_AGRI)
4) natural soil emissions (SOIL_NAT) corrected for baresoil (excluding Sahara in this new version)
5) Fraction of continent (CONT_FRAC) from the model to use for CTM prescription or global budget calculation
6) TAN and non TAN applied to grassland from ruminants during grazing (tan_input_graz, nontan_input_graz)
7) TAN and non TAN applied to grassland from ruminants and considered as fertilizers (tan_input_manureApp_grass, nontan_input_manureApp_grass)
8) TAN and non TAN applied to cropland from all types of animal and considered as fertilizers (tan_input_manureApp_crop, nontan_input_manureApp_crop)
9) Grazing intensity (grazing_intensity, unitless)
10) Net Primary Production of grassland and grass biomass dedicated to livestock feed (NPP_grass, Cgrass_ingested in gC.m2.yr-1)
The four files correspond to a specific simulation using input4MIPs forcing files :
- Present-day simulation from 2000 to 2014
- Future simulation from 2015 to 2100 under scenario SSP-2.45
- Future simulation from 2015 to 2100 under scenario SSP-4.34
- Future simulation from 2015 to 2100 under scenario SSP-5.85
Note that these datasets have been prepared in the scope of a publication to be submitted.
Beaudor, M., N. Vuichard, J. Lathière, D. Hauglustaine., Historical and future ammonia emissions database (2000-2100) from the CAMEO process-based model, in preparation.
Files
Files
(3.3 GB)
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md5:cbef1c198ee575612287002f147ef896
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106.4 MB | Download |
md5:91abff98eaa75a34f74c1dd1c18850b3
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702.6 MB | Download |
md5:5233cc3f114212302113b77d950c9547
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702.8 MB | Download |
md5:1069c31344b771d3afb92ac2115b57ef
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702.7 MB | Download |
md5:229870ce037b744b71d0b211dc8581ea
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59.4 MB | Download |
md5:b5a2248a4b45c144e0e6bd99e5d3024e
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340.2 MB | Download |
md5:28329139d8da582c325e31b809ad29ab
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340.2 MB | Download |
md5:12a4099fc70cd619fba0967448c423bc
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340.2 MB | Download |
Additional details
References
- Beaudor et al. (2023). Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model:10.5194