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update carbon plot

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This commit is contained in:
lisazeyen 2023-08-24 14:19:34 +02:00
parent 3679687ed7
commit e41357e3d5
1 changed files with 64 additions and 78 deletions
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142
scripts/plot_summary.py
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@ -365,8 +365,7 @@ def historical_emissions(countries):
"""
# https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16
# downloaded 201228 (modified by EEA last on 201221)
fn = "data/eea/UNFCCC_v23.csv"
df = pd.read_csv(fn, encoding="latin-1")
df = pd.read_csv(snakemake.input.co2, encoding="latin-1", low_memory=False)
df.loc[df["Year"] == "1985-1987", "Year"] = 1986
df["Year"] = df["Year"].astype(int)
df = df.set_index(
@ -390,16 +389,24 @@ def historical_emissions(countries):
e["waste management"] = "5 - Waste management"
e["other"] = "6 - Other Sector"
e["indirect"] = "ind_CO2 - Indirect CO2"
e["total wL"] = "Total (with LULUCF)"
e["total woL"] = "Total (without LULUCF)"
# e["total wL"] = "Total (with LULUCF)"
# e["total woL"] = "Total (without LULUCF)"
e["other LULUCF"] = "4.H - Other LULUCF"
pol = ["CO2"] # ["All greenhouse gases - (CO2 equivalent)"]
if "GB" in countries:
countries.remove("GB")
countries.append("UK")
year = np.arange(1990, 2018).tolist()
year = df.index.levels[0][df.index.levels[0]>=1990]
missing = pd.Index(countries).difference(df.index.levels[2])
if not missing.empty:
logger.warning(f"The following countries are missing and not considered when plotting historic CO2 emissions: {missing}")
countries = pd.Index(df.index.levels[2]).intersection(countries)
idx = pd.IndexSlice
co2_totals = (
df.loc[idx[year, e.values, countries, pol], "emissions"]
@ -462,100 +469,80 @@ def plot_carbon_budget_distribution(input_eurostat):
plt.rcParams["xtick.labelsize"] = 20
plt.rcParams["ytick.labelsize"] = 20
# historic emissions
countries = snakemake.params.countries
e_1990 = co2_emissions_year(
countries, input_eurostat, opts, snakemake, year=1990
)
emissions = historical_emissions(countries)
# add other years https://sdi.eea.europa.eu/data/0569441f-2853-4664-a7cd-db969ef54de0
emissions.loc[2019] = 2.971372
emissions.loc[2020] = 2.691958
emissions.loc[2020] = 2.869355
if snakemake.config["foresight"] == "myopic":
path_cb = "results/" + snakemake.params.RDIR + "/csvs/"
co2_cap = pd.read_csv(path_cb + "carbon_budget_distribution.csv", index_col=0)[["cb"]]
co2_cap *= e_1990
else:
supply_energy = pd.read_csv(snakemake.input.balances,
index_col=[0,1,2], header=[0,1,2, 3])
co2_cap = supply_energy.loc["co2"].droplevel(0).drop("co2").sum().unstack().T/1e9
co2_cap.rename(index=lambda x: int(x), inplace=True)
plt.figure(figsize=(10, 7))
gs1 = gridspec.GridSpec(1, 1)
ax1 = plt.subplot(gs1[0, 0])
ax1.set_ylabel("CO$_2$ emissions (Gt per year)", fontsize=22)
ax1.set_ylim([0, 5])
ax1.set_ylabel("CO$_2$ emissions \n [Gt per year]", fontsize=22)
# ax1.set_ylim([0, 5])
ax1.set_xlim([1990, snakemake.params.planning_horizons[-1] + 1])
path_cb = "results/" + snakemake.params.RDIR + "/csvs/"
countries = snakemake.params.countries
e_1990 = co2_emissions_year(countries, input_eurostat, opts, year=1990)
CO2_CAP = pd.read_csv(path_cb + "carbon_budget_distribution.csv", index_col=0)
ax1.plot(e_1990 * CO2_CAP[o], linewidth=3, color="dodgerblue", label=None)
emissions = historical_emissions(countries)
ax1.plot(emissions, color="black", linewidth=3, label=None)
# plot committed and uder-discussion targets
# plot committed and under-discussion targets
# (notice that historical emissions include all countries in the
# network, but targets refer to EU)
ax1.plot(
[2020],
[0.8 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="black",
markeredgecolor="black",
)
ax1.plot(
[2030],
[0.45 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="white",
markeredgecolor="black",
)
[2030],
[0.45 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="black",
markeredgecolor="black",
)
ax1.plot(
[2030],
[0.6 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="black",
markeredgecolor="black",
)
[2050],
[0.0 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="black",
markeredgecolor="black",
label="EU commited target",
)
ax1.plot(
[2050, 2050],
[x * emissions[1990] for x in [0.2, 0.05]],
color="gray",
linewidth=2,
marker="_",
alpha=0.5,
)
ax1.plot(
[2050],
[0.01 * emissions[1990]],
marker="*",
markersize=12,
markerfacecolor="white",
linewidth=0,
markeredgecolor="black",
label="EU under-discussion target",
zorder=10,
clip_on=False,
)
ax1.plot(
[2050],
[0.125 * emissions[1990]],
"ro",
marker="*",
markersize=12,
markerfacecolor="black",
markeredgecolor="black",
label="EU committed target",
)
for col in co2_cap.columns:
ax1.plot(co2_cap[col], linewidth=3, label=col)
ax1.legend(
fancybox=True, fontsize=18, loc=(0.01, 0.01), facecolor="white", frameon=True
)
plt.grid(axis="y")
path_cb_plot = "results/" + snakemake.params.RDIR + "/graphs/"
plt.savefig(path_cb_plot + "carbon_budget_plot.pdf", dpi=300)
plt.savefig(snakemake.output.co2_emissions, bbox_inches="tight")
#%%
if __name__ == "__main__":
if "snakemake" not in globals():
from _helpers import mock_snakemake
snakemake = mock_snakemake("plot_summary")
snakemake = mock_snakemake("plot_summary_perfect")
logging.basicConfig(level=snakemake.config["logging"]["level"])
@ -569,6 +556,5 @@ if __name__ == "__main__":
for sector_opts in snakemake.params.sector_opts:
opts = sector_opts.split("-")
for o in opts:
if "cb" in o:
plot_carbon_budget_distribution(snakemake.input.eurostat)
if any(["cb" in o for o in opts]) or (snakemake.config["foresight"]=="perfect"):
plot_carbon_budget_distribution(snakemake.input.eurostat)