April 21 2021 release (#35)

     * Updated readme and added comparison graph files for this release version
     * Added inventory country totals as a module E outputs
     * Added diagnostic to compare inventory totals to CEDS, GAINS, and EDGAR
     * Added code check for duplicate CEDS sectors in scaling mapping files
     * Fixed scaling mappings for Australia, Canada, S Korea, Taiwan to remove duplicates and improve scaling behavior
     * Added diagnostic outputs for country inventories and corresponding CEDS country level data
     * Major change to Australia scaling - only use power and metals sectors (dominated by point sources for all species)
     * Added REAS32 comparisons
     * Added REAS32 scaling for S Korea and Taiwan (#325) to improve overall time series
     * Add capability to remove an iso from gridded results
     * Fix some warnings, don't read mapping file metadata.
     * Added user defined suffix to gridding outputs (#279)
     * Added N2O to nc generation routine and fixed writing of gridded air data out to file
     * Updated to current EDGAR v5.0 and added N2O as a gridded emission
     * Added scripts to generate gridding diagnostic line plots
     
     Co-authored-by: [email protected] <[email protected]>
     Co-authored-by: Hamza Ahsan <[email protected]>
     Co-authored-by: Smith, Steven J (PNNL-JGCRI) <[email protected]>

Makefile

@@ -145,7 +145,12 @@ clean-diagnostic:
 	rm -fv $(DIAG_OUT)/ceds-comparisons/sector-level/*.csv \
 	rm -fv $(DIAG_OUT)/ceds-comparisons/sector-level/*.pdf \
 	rm -fv $(DIAG_OUT)/user-data/*.csv \
-	rm -fv $(DIAG_OUT)/user-data/*.png
+	rm -fv $(DIAG_OUT)/user-data/*.png \
+	rm -fv $(DIAG_OUT)/gridding-diagnostic-plots/cell_group_by_sector/*.pdf \
+	rm -fv $(DIAG_OUT)/gridding-diagnostic-plots/cell_group_totals/*.jpeg \
+	rm -fv $(DIAG_OUT)/gridding-diagnostic-plots/seasonal-line-plots/*.pdf \
+	rm -fv $(DIAG_OUT)/gridding-diagnostic-plots/single_cell_by_sector/*.pdf \
+	rm -fv $(DIAG_OUT)/gridding-diagnostic-plots/single_cell_totals/*.jpeg
 
 clean-final:
 	rm -fv $(FINAL_OUT)/*.csv
@@ -729,7 +734,6 @@ $(MED_OUT)/C.$(EM)_NC_emissions.csv: \
 	$(MED_OUT)/A.NC_activity.csv \
 	$(MED_OUT)/E.$(EM)_ARG_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CAN_to2011_inventory.csv \
-	$(MED_OUT)/E.$(EM)_CAN_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CAN_2018_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CHN_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CHN_2018_inventory.csv \
@@ -738,6 +742,7 @@ $(MED_OUT)/C.$(EM)_NC_emissions.csv: \
 	$(MED_OUT)/E.$(EM)_Japan_inventory.csv \
 	$(MED_OUT)/E.$(EM)_KOR2017_inventory.csv \
 	$(MED_OUT)/E.$(EM)_REAS_inventory.csv \
+	$(MED_OUT)/E.$(EM)_REAS32_inventory.csv \
 	$(MED_OUT)/E.$(EM)_UNFCCC_inventory.csv \
 	$(MED_OUT)/E.$(EM)_UNFCCC_update_inventory.csv \
 	$(MED_OUT)/E.$(EM)_US_inventory.csv \
@@ -822,6 +827,11 @@ $(MED_OUT)/E.$(EM)_REAS_inventory.csv: \
 	$(MOD_E)/E.REAS_emissions.R
 	Rscript $< $(EM) --nosave --no-restore
 
+# ee1-2
+$(MED_OUT)/E.$(EM)_REAS32_inventory.csv: \
+	$(MOD_E)/E.REAS32_emissions.R
+	Rscript $< $(EM) --nosave --no-restore
+
 # ee1-2
 $(MED_OUT)/E.$(EM)_ARG_inventory.csv: \
 	$(MOD_E)/E.Argentina_emissions.R
@@ -832,11 +842,6 @@ $(MED_OUT)/E.$(EM)_CAN_to2011_inventory.csv: \
 	$(MOD_E)/E.CAN_emissions_olderData.R
 	Rscript $< $(EM) --nosave --no-restore
 
-# ee1-2
-$(MED_OUT)/E.$(EM)_CAN_inventory.csv: \
-	$(MOD_E)/E.CAN_emissions_newerData.R
-	Rscript $< $(EM) --nosave --no-restore
-
 # ee1-2
 $(MED_OUT)/E.$(EM)_CAN_2018_inventory.csv: \
 	$(MOD_E)/E.CAN_emissions_2018.R
@@ -893,7 +898,6 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(MOD_F)/F1.inventory_scaling.R \
 	$(MOD_F)/F1.1.Argentina_scaling.R \
 	$(MOD_F)/F1.1.CAN_scaling_olderData.R \
-	$(MOD_F)/F1.1.CAN_scaling_newerData.R \
 	$(MOD_F)/F1.1.CAN_scaling_2018.R \
 	$(MOD_F)/F1.1.China_scaling.R \
 	$(MOD_F)/F1.1.China_MEIC_2018_scaling.R \
@@ -902,6 +906,7 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(MOD_F)/F1.1.EMEP_NFR14_scaling.R \
 	$(MOD_F)/F1.1.Japan_scaling.R \
 	$(MOD_F)/F1.1.REAS_scaling.R \
+	$(MOD_F)/F1.1.REAS32_scaling.R \
 	$(MOD_F)/F1.1.South_korea_scaling_2017.R \
 	$(MOD_F)/F1.1.UNFCCC_scaling.R \
 	$(MOD_F)/F1.1.US_scaling.R \
@@ -912,7 +917,6 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(PARAMS)/emissions_scaling_functions.R \
 	$(MED_OUT)/E.$(EM)_ARG_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CAN_to2011_inventory.csv \
-	$(MED_OUT)/E.$(EM)_CAN_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CAN_2018_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CHN_inventory.csv \
 	$(MED_OUT)/E.$(EM)_CHN_2018_inventory.csv \
@@ -921,6 +925,7 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(MED_OUT)/E.$(EM)_Japan_inventory.csv \
 	$(MED_OUT)/E.$(EM)_KOR2017_inventory.csv \
 	$(MED_OUT)/E.$(EM)_REAS_inventory.csv \
+	$(MED_OUT)/E.$(EM)_REAS32_inventory.csv \
 	$(MED_OUT)/E.$(EM)_UNFCCC_inventory.csv \
 	$(MED_OUT)/E.$(EM)_US_inventory.csv \
 	$(MED_OUT)/E.$(EM)_US-EPA_inventory.csv \
@@ -948,6 +953,7 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(SC_MAPPINGS)/EMEP_NFR14_SO2_scaling_method.csv \
 	$(SC_MAPPINGS)/jpn_scaling_mapping.csv \
 	$(SC_MAPPINGS)/REAS_scaling_mapping.csv \
+	$(SC_MAPPINGS)/REAS32_scaling_mapping.csv \
 	$(SC_MAPPINGS)/S_Korea_scaling_mapping.csv \
 	$(SC_MAPPINGS)/UNFCCC_scaling_mapping.csv \
 	$(SC_MAPPINGS)/UNFCCC_scaling_year.csv \
@@ -956,7 +962,6 @@ $(MED_OUT)/F.$(EM)_scaled_emissions.csv: \
 	$(SC_MAPPINGS)/US-EPA_scaling_mapping.csv \
 	$(SC_MAPPINGS)/US-GHG_scaling_mapping.csv \
 	$(SC_MAPPINGS)/Australia_scaling_mapping.csv \
-	$(SC_MAPPINGS)/Australia_NOx_scaling_mapping.csv \
 	$(SC_MAPPINGS)/Taiwan_scaling_mapping.csv \
 	$(SC_MAPPINGS)/Taiwan_scaling_method.csv \
 	$(MED_OUT)/D.$(EM)_default_total_EF.csv \

README.md

@@ -1,6 +1,16 @@
 # CEDS
 The Community Emissions Data System (CEDS) produces consistent estimates of global air emissions species over the industrial era (1750 - present). The system is written in R and uses open-source data (with the exception of the IEA energy statistics which must be purchased from IEA). CEDS is publicly available through an [Open Source License](#license-section).
 
+**April 2021 Release:** April 21, 2021 (v\_2021\_04\_21)
+
+This release updates emissions for four isos: Australia, Canada, South Korea, and Taiwan as shown [in Figure S9 here](./documentation/Version_comparison_figures_v_2021_04_21_vs_v_2021_02_05.pdf). Global trends are similar to the v\_2021\_02\_05 release. Global gridded emission data have also been produced with updated spatial distributions for most sectors.
+
+* See the [release notes](https://github.com/JGCRI/CEDS/wiki/Release-Notes) for a summary of changes.
+* [Graphs of emission differences](./documentation/Version_comparison_figures_v_2021_04_21_vs_v_2016_07_16(CMIP6).pdf) between this version and the CEDS CMIP6 data release documented in Hoesly et al (2018a). 
+* [Graphs of emission differences](./documentation/Version_comparison_figures_v_2021_04_21_vs_v_2019_12_23.pdf) between this version and the previous December 2019 CEDS data release. 
+* Emissions by country and sector, archived [here](http://doi.org/10.5281/zenodo.4737769).
+* Gridded emissions in the same format as the CMIP6 data release areavailable at [PNNL DataHub](https://data.pnnl.gov/dataset/CEDS-4-21-21).
+
 
 **Feb 2021 Release:** February 05, 2021 (v\_2021\_02\_05)