Open sbassett opened 2 years ago
Comet planner data: C:\Users\sbassett.TNC\Box\USCA Project (CO and NM)\Model Development\Data\US_COMET-Planner_Download_2021_09_29.xlsx
Attribute | Description |
---|---|
total_ghg_co2 | Mean of total greenhouse gas emission reductions in metric tonnes CO2 equivalent per acre per year (MT CO2e/ac/yr) |
total_ghg_co2_sterr | Standard error of the mean for total greenhouse gas emission reductions in metric tonnes CO2 equivalent per acre per year (MT CO2e/ac/yr) |
total_ghg_co2_min | Minimum of total greenhouse gas emission reductions in metric tonnes CO2 equivalent per acre per year (MT CO2e/ac/yr) |
total_ghg_co2_max | Maximum of total greenhouse gas emission reductions in metric tonnes CO2 equivalent per acre per year (MT CO2e/ac/yr) |
n | sample size for COMET-Farm modeled practices |
to convert the Standard Error to Standard Deviation as required by the lc_params file, I will use of SD = SE * sqrt(N) [per https://handbook-5-1.cochrane.org/chapter_7/7_7_3_2_obtaining_standard_deviations_from_standard_errors_and.htm ]
Will weight by irrigated/non-irrigated based on 2018 irrigation census.
Around 25% of "Land in farms (acres)" are "Acres irrigated". State | Land in Farms (acres) | Acres irrigated | Proportion irrigated |
---|---|---|---|
CO | 11,056,259* | 2,458,742 | 0.222385 |
NM | 1,825,827* | 675,330 | 0.369876 |
*total farm acres are from the 2017 census of agriculture
C:\Users\sbassett.TNC\Documents\GitHub\NWLAND\raw_data\CultivatedLands_ActivityFlux_Workspace.xlsx
copy A28:G124 to lc_params sheet to close this issue
Take county-averages for suite of practices, weighted by practice implementation rate (e.g. 33%, 33%, 33% for three practices with no overlap).