v0001¶
The tables in this page describe the input data belonging to the v0001 distribution.
Available resolution¶
- R02B04 (icon_grid_0005_R02B04_G, with middle atmosphere)
NOTES:
- This distribution is based on T63L47 input data for ECHAM6-HAM.
- This distribution is meant to be used together with the version: icon-hammoz-distrib-prerelease_1.0.
- Table of contents
- v0001
Preparation of the data¶
The files were prepared by Marc Salzmann (University of Leipzig).
All the scripts used for the preparation of the new files of v0001 are available in the code in the directory <your_icon_hammoz_distrib_root_dir>/hammoz/util
Symbols¶
Explanation of the 'symbols' used in the table:
- "---" : data are resolution independent
- XXXX : data are yearly interpolated
- RES : data are dependent on horizontal resolution
- RCP*, rcp* : data are available for different scenarios
HAMMOZ¶
HAMMOZ¶
| File name | Brief description | Source resolution | Author / Contact person | Reference |
| lut_kappa.nc | Lookup table for Growth Factor | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
| lut_optical_properties_M7.nc | Lookup table for optical properties used by M7 | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
| lut_optical_properties_lw_M7.nc | Lookup table for optical properties | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
| parnuc.15H2SO4.A0.total.nc | Lookup table for total particle formation rate | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
| solmin.txt | Ion production rate for min solar activity | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
| solmax.txt | Ion production rate for max solar activity | --- | Sebastian Rast | /pool/data - MPI-Meteorology [1] |
HAMMOZ/icon_grid_0005_R02B04_G¶
| File name | Brief description | Source resolution | Author / Contact person | Reference | Comment / Related Issue |
| dust_potential_sources_RES.nc | Distribution of potential dust sources | 0.5 x 0.5 | Ina Tegen | Tegen et al.(2002) [2], Stier et al.(2005) [3] | |
| dust_preferential_sources_RES.nc | Distribution of preferential dust sources | 0.5 x 0.5 | Ina Tegen | Tegen et al.(2002) [2], Stier et al.(2005) [3] | |
| dust_regions_RES.nc | Region definition for regional dust scaling | Tanja Stanelle / Colombe Siegenthaler | #433 | ||
| msg_pot_sources_RES.nc | MSG satellite-based map of dust source activation frequencies (DSAF) for prescribing potential dust sources in the Sahara | 1 x 1 | Bernd Heinold | Schepanski et al (2007) [4] | |
| ham_oxidants_monthly_RESL47_macc.nc | Oxidants fields from MACC | T106LR L60 | Martin Schultz | Inness et al.(2012) [5] | based on an 7-year (2003-2009) climatology |
| soil_type_all_RES.nc | Soil type | 0.5 x 0.5 | Ina Tegen / Yiran Peng | Tegen et al.(2002) [2], Stier et al.(2005) [3], Xu et al.(2006) [6], Cheng et al.(2008) [7] | #253 |
| soilpHfrac_RES.nc | Fraction of soil PH | T63 | Sebastian Rast | /pool/data - MPI-Meteorology [1] | #555 |
| surface_rough.12m.RES.nc | Surface roughness | 0.5 x 0.5 | Ina Tegen | Tegen et al.(2002) [2], Stier et al.(2005) [3] | |
| xtsurf_v2_RES.nc | Surface variables | T63 | Declan O'Donnell |
Emissions inventories¶
ACCMIP interpolated¶
Ref: http://accent.aero.jussieu.fr/ACCMIP_metadata.php
README: https://redmine.hammoz.ethz.ch/attachments/1257/README.accmip_interpolated.txt
NOTE:
- The accmip_interpolated dataset is missing the inter-annual variability in the biomassburning emissions since it is based on an interpolation of scenarios.
- Please see also #222 for some additional information about the reading of the emissions through the emi_spec.txt matrix
| File name | Brief description | Source resolution | Author / Contact person | Reference | Comments / Related issue |
| accmip_interpolated_emissions_RCP*_SPECIES_DOMAIN_XXXX_RES.nc | emission of SPECIES in DOMAIN | 0.5 x 0.5 | Angelika Heil | Lamarque et al. (2010) [8] | SPECIES and DOMAIN are described in the table below, DOMAIN can be aircraft, anthropogenic, biomassburning, ships |
The following table describes the files from the above table. Each row corresponds to a SPECIES and each column to a DOMAIN (aircraft, anthropogenic, biomassburning, ships and oceanic). The crosses indicate the existence of emissions data for the corresponding SPECIES and DOMAIN.
| SPECIES name in HAMMOZ | SPECIES name in filenames | aircraft | anthropogenic | biomassburning | ships |
| BC | x | x | x | x | |
| DMS | C2H6S | x | |||
| OC | x | x | x | ||
| SO2 | x | x | x |
Time coverage available:
icon_grid_0005_R02B04_G: 1999-2015
Available scenarios: RCP45, RCP85
AEROCOM_II emissions¶
Ref: outdated: http://aerocom.met.no/emissions.html - http://aerocom.met.no/download/emissions/AEROCOM_B-PRE/other_ncf_2000/
NOTE:
- The following emission files are coming from the AEROCOM (and not AEROCOM II) dataset.
| File name | Brief description | Source resolution | Author / Contact person | Reference | Comments / Related issue |
| continuous_volcanoes.dat | Continuous volc emissions | --- | Frank Dentener | Dentener et al.,(2006) [9] | #313, #555, units included |
| explosive_volcanoes.dat | Eruptive volc emissions | --- | Frank Dentener | Dentener et al.,(2006) [9] | #313, #555, units included |
| emiss_aerocom_DMS_monthly_CLIM_RES.nc | terrestrial DMS emissions | 1 x 1 | Philip Stier | Dentener et al.,(2006) [9] , Pham, M. et al.,(1995) [10] | #555, units included |
| emiss_aerocom_OC_monthly_2000_RES.nc | OC biogenic emissions | 1 x 1 | Philip Stier | Dentener et al.,(2006) [9], Guenther et al (1995) [11] | #580, Name miscellaneous, the file is based on GEIA Inventory for 1990. The file emiss_aerocom_OC_monthly_1850_T*.nc has been deleted. |
GFAS wildfire emissions¶
Ref:
NOTE:
- Daily wildfire emissions are recommended to be used for model evaluation. Simulations with daily GFAS emission data shows better agreement with observations than simulations with monthly AeroCom emissions (Veira et al., 2015) [12].
- Global GFAS emissions for SO2, BC, OC and C2H6S (DMS) are multiplied with the recommended official scaling factor of 3.4 (Kaiser et al, 2012) [13] in the emi_spec-file.
- GFASv1.0 data is used for March 2000 until September 2014, GFASv1.2 data is used for End of September 2014 until December 2015
| File name | Brief description | Source resolution | Author / Contact person | Reference | Original file version | Comments / Related issue |
| daily/emiss_GFAS_SPECIES_wildfire_XXXX_RES.nc | emission of SPECIES | 0.5x0.5 | Olaf Stein | http://join.iek.fz-juelich.de/macc/acces | 03.2000-09.2014 : GFASv1.0, 09.2014 - : GFASv1.2 | #361, #484 |
Available SPECIES are: bc, oc, so2, c2h6s
Time coverage:
-daily wildfire emissions for so2, bc, oc and c2h6s are available from 1st of March 2000 until 31st of December 2015
"others" ¶
| File name | Brief description | Source resolution | Author / Contact person | Reference | Comments / Related issue |
| emiss_fields_dms_sea_monthly_RES.nc | DMS sea-water concentration | 1x1 | Silvia Kloster | Lana et al.,(2011) [14] | #170 |
Reference papers¶
[1] /pool/data MPI-Meteorology
[2] Tegen, I., S. P. Harrison, K. E. Kohfeld, I. C. Prentice, M. C. Coe, and M. Heimann, 2002. The impact of vegetation and preferential source areas on global dust aerosol: Results from a model study. J.Geophys.Res.,107, doi:10.1029/2001JD000963. doi:10.1029/2001JD000963.
[3] Stier, P., J. Feichter, S. Kinne, S. Kloster, E. Vignati, J. Wilson, L. Ganzeveld, I. Tegen, M. Werner, Y. Balkanski, M. Schulz and O. Boucher, 2005. The aerosol-climate model ECHAM5-HAM. Atmos. Chem. Phys., 5, 1125-1156.
[4] Schepanski, K., I. Tegen, B. Laurent, B. Heinold, and A. Macke (2007), A new Saharan dust source activation frequency map derived from MSG-SEVIRI IR-channels, Geophys. Res. Lett., 34, L18803, doi:10.1029/2007GL030168.
[5] Inness, A. et al. 2012. The MACC reanalysis: An 8-year dataset of atmospheric composition, Atmos. Chem. Phys. Discuss., 12, 31247–31347.
[6] Xu X., Jason K. Levy, Lin Zhaohui, Chen Hong, An investigation of sand-dust storm events and land surface characteristics in China using NOAA NDVI data, Global and Planetary Change, Volume 52, Issues 1-4, Monitoring and Modelling of Asian Dust Storms, July 2006, Pages 182-196, ISSN 0921-8181, DOI: 10.1016/j.gloplacha.2006.02.009. (http://www.sciencedirect.com/science/article/B6VF0-4JW127M1/2/3a408226bb1be599b81158b71ef17ba0)
[7] Cheng, T., Peng, Y., Feichter, J., and Tegen, I., 2008. An improvement on the dust emission scheme in the global aerosol-climate model ECHAM5-HAM, Atmos. Chem. Phys., 8, 1105-1117, doi:10.5194/acp-8-1105-2008.
[8] Lamarque J. F. et al., 2010. Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application, Atmos. Chem. Phys., 10, 7017-7039, doi:10.5194/acp-10-7017-2010 (http://www.atmos-chem-phys.net/10/7017/2010/acp-10-7017-2010.html)
[9] Dentener, F., et al., 2006. Emissions of primary aerosol and precursor gases in the years 2000 and 1750, prescribed data-sets for AEROCOM, Atmos. Chem. Phys. Disc., 6, 2703–2763.
[10] Pham, M., Muller, J., Brasseur, G., Granier, C., and Megie, G., 1995 : A Three-Dimensional Study of the Tropospheric Sulfur Cycle, J. Geophys. Res., 100, 26 061–26 092.1089,1108.
[11] Guenther, A., et al., 1995, A global model of natural volatile organic compound emissions, J. Geophys. Res., 100(D5), 8873–8892, doi:10.1029/94JD02950.
[12] Veira, A., Kloster, S., Schutgens, N. A. J., and Kaiser, J. W., 2015: Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation, Atmos. Chem. Phys., 15, 7173-7193, doi:10.5194/acp-15-7173-2015.
[13] Kaiser, J. W., et al. 2012: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527–554, doi:10.5194/bg-9-527-2012.
[14] Lana, A., et al., 2011. An updated climatology of surface dimethlysulfide concentrations and emission fluxes in the global ocean, Global Biogeochem. Cycles, 25, GB1004, http://onlinelibrary.wiley.com/doi/10.1029/2010GB003850/abstract
