AWARE characterization factor samples

Files contain 4999 samples of AWARE characterization factors, as well as sampled independent data used in their calculations and selected intermediate results. AWARE is a consensus-based method development to assess water use in LCA. It was developed by the WULCA UNEP/SETAC working group. Its characterization factors represent the relative Available WAter REmaining per area in a watershed, after the demand of humans and aquatic ecosystems has been met. It assesses the potential of water deprivation, to either humans or ecosystems, building on the assumption that the less water remaining available per area, the more likely another user will be deprived. The code used to generate the samples can be found here: https://github.com/PascalLesage/aware_cf_calculator/ The following datasets are supplied: <strong>1) AWARE_characterization_factor_samples.zip</strong> Actual characterization factors resulting from the Monte Carlo Simulation. Contains 4 zip files: * monthly_cf.zip: contains 116,484 arrays of 4999 monthly characterization factor samples for each of 9707 watershed and for each month, in csv format. Names are cf_&lt;BAS34S_ID&gt;_&lt;MONTH&gt;.csv, where &lt;BAS34S_ID&gt; is the watershed id and &lt;MONTH&gt; is the first three letters of the month ('jan', 'feb', etc.). * average_agri_cf.zip: contains 9707 arrays of 4999 annual average, agricultural use, characterization factor samples for each watershed, in csv format. Names are cf_average_agri_&lt;BAS34S_ID&gt;.csv. * average_non_agri_cf.zip: contains 9707 arrays of 4999 annual average, non-agricultural use, characterization factor samples for each watershed, in csv format. Names are cf_average_non_agri_&lt;BAS34S_ID&gt;.csv. * average_unknown_cf.zip: contains 9707 arrays of 4999 annual average, unspecified use, characterization factor samples for each watershed, in csv format. Names are cf_average_unknown_&lt;BAS34S_ID&gt;.csv.. <strong>2) AWARE_base_data.xlsx</strong> Excel file with the deterministic data, per watershed and per month, for each of the independent variables used in the calculation of AWARE characterization factors. Specifically, it includes: Monthly irrigation<br> Description: irrigation water, per month, per basin<br> Unit: m3/month<br> Location in Excel doc: Irrigation<br> File name once imported: irrigation.pickle<br> table shape: (11050, 12) Non-irrigation hwc: electricity, domestic, livestock, manufacturing<br> Description: non-irrigation uses of water<br> Unit: m3/year<br> Location in Excel doc: hwc_non_irrigation<br> File name once imported: electricity.pickle, domestic.pickle,<br> livestock.pickle, manufacturing.pickle<br> table shape: 3 x (11050,) avail_delta<br> Description: Difference between "pristine" natural availability<br> reported in PastorXNatAvail and natural availability calculated<br> from "Actual availability as received from WaterGap - after<br> human consumption" (Avail!W:AH) plus HWC.<br> This should be added to calculated water availability to<br> get the water availability used for the calculation of EWR<br> Unit: m3/month<br> Location in Excel doc: avail_delta<br> File name once imported: avail_delta.pickle<br> table shape: (11050, 12) avail_net<br> Description: Actual availability as received from WaterGap - after human consumption<br> Unit: m3/month<br> Location in Excel doc: avail_net<br> File name once imported: avail_net.pickle<br> table shape: (11050, 12) pastor<br> Description: fraction of PRISTINE water availability that should be reserved for environment<br> Unit: unitless<br> Location in Excel doc: pastor<br> File name once imported: pastor.pickle<br> table shape: (11050, 12) area<br> Description: area<br> Unit: m2<br> Location in Excel doc: area<br> File name once imported: area.pickle<br> table shape: (11050,)<br> It also includes: * information on the distributions used for each variable (uncertainty tab) * two filters used to exclude watersheds that are either in Greenland (polar filter) or without data from the Pastor et al. (2014) method (122 cells), representing small coastal cells with no direct overlap (pastor filter). (filters tab) <strong>3) independent_variable_samples.zip</strong> Samples for each of the independent variables used in the calculation of characterization factors. Only random variables are contained. For all watershed or watershed-months without samples, the Monte Carlo simulation used the deterministic values found in the AWARE_base_data.xlsx file. The files are in csv format. The first column contains the watershed id (BAS34S_ID) if the data is annual or the (BAS34S_ID, month) for data with a monthly resolution. the other 4999 columns contain the sampled data. The names of the files are &lt;variable_name.csv&gt;. <strong>4) intermediate_variables.zip</strong> Contains results of intermediate calculations, used in the calculation of characterization factors. The zip file contains 3 zip files: * AMD_world_over_AMD_i.zip: contains 116,484 arrays (for each watershed-month) of 4999 calculated values of the ratio between the AMD (Availability Minus Demand) for the watershed-month and AMD_glo, the world weighted AMD average. Format is csv.<br> * AMD_world.zip: contains one array of 4999 calculated values of the world average AMD. Format is csv. * HWC.zip: contains 116,484 arrays (for each watershed-month) of 4999 calculated values of the total Human Water Consumption. Format is csv. <strong>5) watershedBAS34S_ID.zip</strong> Contains the GIS files to link the watershed ids (BAS34S_ID) to actual spatial data.

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