Search

SFU Research Data (FRDR) Logo
WETMETH: A new wetland methane model for implementation in Earth system models
Federated Research Data Repository / dépôt fédéré de données de recherche
Nzotungicimpaye, Claude-Michel — 2022-03-15 WETMETH is a new wetland methane model developed for implementation in Earth system models. It is currently embedded in the frozen ground version of the University of Victoria Earth System Climate Model (UVic ESCM), an Earth system model of intermediate complexity (EMIC). Here we provide model output files with all variables analyzed in the model description manuscript. These model outputs include results from a historical run from 1850 to 2019 and sensitivity runs over the 2000-2009 decade.
SFU Research Data (FRDR) Logo
Quantifying land carbon cycle feedbacks under negative CO2 emissions - Supplementary Data
Federated Research Data Repository / dépôt fédéré de données de recherche
Chimuka, V. Rachel; Nzotungicimpaye, Claude-Michel; Zickfeld, Kirsten — 2023-05-31 Earth system model data (time series) simulating the land and ocean carbon response in (i) a CDR-reversibility scenario and (ii) a zero emissions scenario. Both scenarios are run in fully coupled, biogeochemically and radiatively coupled modes. Spatial data is also included for the radiatively coupled CDR-reversibility scenario. This data was generated by the University of Victoria's Earth System Climate Model (UVic-ESCM).
SFU Research Data (FRDR) Logo
Earth system model simulations highlighting the need for methane mitigation to comply with the 2°C global warming limit
Federated Research Data Repository / dépôt fédéré de données de recherche
Nzotungicimpaye, Claude-Michel — 2023-10-31 Climate simulations by the University of Victoria Earth System Climate Model (UVic ESCM) aimed at investigating the importance of urgent methane mitigation, alongside reaching net-zero carbon emissions by mid-century, to comply with the 2°C global warming limit. These model simulations are associated with a publication in Communications Earth & Environment by Nzotungicimpaye et al.
Zenodo Logo
CMIP6 scenarios' radiative forcing of non-CO2 greenhouse gases and aerosols for UVic ESCM simulations (1850-2500)
Zenodo
Mathesius, Sabine; Wright, Nesha; Mengis, Nadine; MacIsaac, Alexander J.; Nzotungicimpaye, Claude-Michel; Keller, David; Giang, Tran; Zickfeld, Kirsten — 2024-04-24 Overview This repository contains the input files for the UVic Earth System Climate Model (ESCM) that are required to simulate the historical period (1850-2014) and the extended CMIP6 SSP-RCP scenarios SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0, SSP5-3.4, SSP5-8.5 (2015-2500). For simulations of these scenarios, the model is forced with aggregated non-CO2 greenhouse gas radiative forcing, land use cover, aerosol radiative forcing, and either CO2 concentration or CO2 emissions. The radiative forcing of CO2 is calculated internally by the UVic ESCM. The following files are included in this repository: CO2 concentrations  (for concentration-driven simulations) A_co2_hist.nc A_co2_119.nc A_co2_126.nc A_co2_245.nc A_co2_370.nc A_co2_434.nc A_co2_460.nc A_co2_534.nc A_co2_585.nc   CO2 emissions (for emission-driven simulations) F_co2emit_119.nc F_co2emit_126.nc F_co2emit_245.nc F_co2emit_370.nc F_co2emit_434.nc F_co2emit_460.nc F_co2emit_534.nc F_co2emit_585.nc   Land use cover fractions (pasture and crops) L_agricfra_hist_and_ssp119.nc L_agricfra_hist_and_ssp126.nc L_agricfra_hist_and_ssp245.nc L_agricfra_hist_and_ssp370.nc L_agricfra_hist_and_ssp434.nc L_agricfra_hist_and_ssp460.nc L_agricfra_hist_and_ssp534.nc L_agricfra_hist_and_ssp585.nc   Aggregated non-CO2 greenhouse gas forcing A_aggfor_hist.nc A_aggfor_119.nc A_aggfor_126.nc A_aggfor_245.nc A_aggfor_370.nc A_aggfor_434.nc A_aggfor_460.nc A_aggfor_534.nc A_aggfor_585.nc   Aerosol optical depth A_sulphod_hist.nc A_sulphod_119.nc A_sulphod_126.nc A_sulphod_245.nc A_sulphod_370.nc A_sulphod_434.nc A_sulphod_460.nc A_sulphod_534.nc A_sulphod_585.nc   Detailed description 1.  CO2 concentrations The CO2 concentrations are provided here as the annual global mean mole fraction of CO2 in ppm and identical with the CMIP6 input data available at https://esgf-node.llnl.gov/search/input4mips/. 2.  CO2 emissions The CO2 emissions are the same as provided by RCMIP (Meinshausen et al., 2020). Here the Agriculture, Forestry and Other Land Use (AFOLU) emissions are represented as “F_co2eland” emissions. Also, the sector based emissions from Aircraft, the Industrial Sector, International Shipping, Residential Commercial Other, Solvents Production and Application, the Transportation Sector, and Waste are aggregated into the Fossil and Industrial emissions and represented as “F_co2efuel” emissions. Both the F_co2eland and F_co2efuel emissions are finally aggregated into total CO2 emissions represented as “F_co2emit”. These aggregated CO2 emissions are likewise identical to globally averaged CMIP6 input data available at https://esgf-node.llnl.gov/search/input4mips/. All three CO2 emission variables are included in the “F_co2emit*.nc” files. In addition to the SSP-RCP-scenario CO2 emissions also the historical CO2 emissions are included in all files (starting in year 1750). 3.  Land use cover The land-use forcing is provided as the pasture and cropland grid cell fraction (variable names: “L_cropfra” and “L_pastfra”; in file: “L_agricfra.nc”). The UVic ESCM translates pasture and cropland fractions internally into C3 grass or C4 grass fractions, depending on the local conditions. The land-use cover is based on LUH2v2f “states.nc” data (available at https://luh.umd.edu/data.shtml) and has been regridded and reaggregated for the UVic ESCM. The cropland fraction of the UVic ESCM input (“L_cropfra”) is the sum of all crop types given by LUH2v2f (“c3ann”, “c3nfxc”, “c3per”, “c4ann”, “C4per”), whereas the pasture fraction (“L_pastfra”) is the sum of LUH2v2f’s pasture fraction and rangeland fraction (“pastr”, “range”). The land-use forcing covers the period 850-2100. 4.  Non-CO2 greenhouse gas radiative forcing The aggregated radiative forcing of 44 non-CO2 greenhouse gases (GHG) was calculated from the respective atmospheric GHG concentrations (provided by RCMIP for CMIP6, see References), following the approach of Meinshausen et al. 2020 and Etminan et al. 2016. Radiative forcing of tropospheric ozone, stratospheric ozone, and stratospheric water vapor from methane oxidation was calculated as described in Smith et al. 2018. The following non-CO2 GHG are accounted for in the aggregated forcing files (“A_aggfor.nc”): N2O; CH4; CFC11; CFC12; HFC134a; C2F6; C6F14; CF4; HFC23; HFC32; HFC43_10; HFC125; HFC143a; HFC227ea; HFC245fa; SF6; CFC113; CFC114; CFC115; HCFC22; HCFC142B; HCFC141B; HALON1211; HALON1301; HALON2402; CH3BR; CH3CL; CCL4; CH2CL2; CH3CCL3; NF3; HFC365mfc; C3F8; C4F10; HFC236fa; C5F12; CHCL3; cC4F8; HFC152a; SO2F2; C7F16; C8F18; stratospheric and  tropospheric O3; water vapor from CH4 oxidation. 5.  Aerosol radiative forcing Aerosol optical depth (AOD) 2D input data for the UVic ESCM was created using a UVic grid with the scripts and data provided by Stevens et al. (2017). The data provided describes nine different plumes globally which are scaled with time to produce monthly aerosol optical depth forcing for the years 1850-2018 (Stevens et al., 2017). For the future projection of the years 2018-2100, the same scripts were run with input data from Fiedler et al. (2019). To extend aerosol optical depth data from 2100 to 2500, the last year of available data (i.e. 2100) was repeated.  Since the AOD input caused too great a negative forcing in the historical period, a scaling factor was implemented into the UVic ESCM, which allows to scale aerosol forcing from AOD data. The scaling factor was set to 0.7, which gives a globally averaged forcing of -1.03 Wm-2 in 2011. Note that the file "A_sulphod_hist.nc" contains not only the data of the historical period (1850-2014) but also the data of the scenario SSP5-8.5 (extended until 2500).   References Fiedler, S., Stevens, B., Gidden, M., Smith, S. J., Riahi, K., & van Vuuren, D. (2019). First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect. Geoscientific Model Development, 12(3), 989-1007.Etminan, M., Myhre, G., Highwood, E., and Shine, K.: Radiative forcing of carbon dioxide, methane, and nitrous oxide: A significant revision of the methane radiative forcing, Geophys. Res. Lett., 43, 12614–12623, https://doi.org/10.1002/2016GL071930, 2016. Meinshausen, M., Nicholls, Z. R., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., ... & Wang, R. H. (2020). The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development, 13(8), 3571-3605. Smith, C. J., Forster, P. M., Allen, M., Leach, N., Millar, R. J., Passerello, G. A., & Regayre, L. A. (2018). FAIR v1. 3: a simple emissions-based impulse response and carbon cycle model. Geoscientific Model Development, 11(6), 2273-2297. Stevens, B., Fiedler, S., Kinne, S., Peters, K., Rast, S., Müsse, J., Smith, S. J., and Mauritsen, T.: MACv2-SP: a parameterization of anthropogenic aerosol optical properties and an associated Twomey effect for use in CMIP6, Geosci. Model Dev., 10, 433-452, https://doi.org/10.5194/gmd-10-433-2017, 2017 RCMIP GHG concentration data: https://zenodo.org/record/4589756/files/rcmip-concentrations-annual-means-v5-1-0.csv RCMIP Emissions data: https://rcmip-protocols-au.s3-ap-southeast-2.amazonaws.com/v5.1.0/rcmip-emissions-annual-means-v5-1-0.csv Input4mips CO2 concentration data: https://esgf-node.llnl.gov/search/input4mips/ LUH2 land-use cover data: https://luh.umd.edu/data.shtml https://creativecommons.org/licenses/by/4.0/legalcode

Map search instructions

1.Turn on the map filter by clicking the “Limit by map area” toggle.
2.Move the map to display your area of interest. Holding the shift key and clicking to draw a box allows for zooming in on a specific area. Search results change as the map moves.
3.Access a record by clicking on an item in the search results or by clicking on a location pin and the linked record title.
Note: Clusters are intended to provide a visual preview of data location. Because there is a maximum of 50 records displayed on the map, they may not be a completely accurate reflection of the total number of search results.

(Author: Nzotungicimpaye, Claude-Michel)

Limit by:

Clear all

to