From 22b059ed59e61105a16e7e7b45822ecaf07a844d Mon Sep 17 00:00:00 2001 From: mattphysics Date: Thu, 3 Aug 2017 16:10:04 +0200 Subject: [PATCH] Add files via upload --- .../IRF_PD100_SMOOTHED_CO2.dat | 3007 +++++++++++++++++ DATA/PlaSim_Ensembles/2co2_ym.npy | Bin 0 -> 321680 bytes DATA/PlaSim_Ensembles/co2_1pr_ym.npy | Bin 0 -> 321680 bytes DATA/RCP_Data/RCP26.dat | 200 ++ DATA/RCP_Data/RCP3PD_EMISSIONS.DAT | 774 +++++ DATA/RCP_Data/RCP45.dat | 200 ++ DATA/RCP_Data/RCP45_EMISSIONS.DAT | 774 +++++ DATA/RCP_Data/RCP60.dat | 200 ++ DATA/RCP_Data/RCP6_EMISSIONS.DAT | 774 +++++ DATA/RCP_Data/RCP85.dat | 200 ++ DATA/RCP_Data/RCP85_EMISSIONS.DAT | 774 +++++ FIGURES/Figure_5/Figure_5a.py | 77 + FIGURES/Figure_5/Figure_5b.py | 77 + FIGURES/Figure_6/Figure_6a.py | 90 + FIGURES/Figure_6/Figure_6b.py | 67 + FIGURES/Figure_7/Figure_7.py | 346 ++ 16 files changed, 7560 insertions(+) create mode 100644 DATA/Carbon_Response/IRF_PD100_SMOOTHED_CO2.dat create mode 100644 DATA/PlaSim_Ensembles/2co2_ym.npy create mode 100644 DATA/PlaSim_Ensembles/co2_1pr_ym.npy create mode 100644 DATA/RCP_Data/RCP26.dat create mode 100644 DATA/RCP_Data/RCP3PD_EMISSIONS.DAT create mode 100644 DATA/RCP_Data/RCP45.dat create mode 100644 DATA/RCP_Data/RCP45_EMISSIONS.DAT create mode 100644 DATA/RCP_Data/RCP60.dat create mode 100644 DATA/RCP_Data/RCP6_EMISSIONS.DAT create mode 100644 DATA/RCP_Data/RCP85.dat create mode 100644 DATA/RCP_Data/RCP85_EMISSIONS.DAT create mode 100644 FIGURES/Figure_5/Figure_5a.py create mode 100644 FIGURES/Figure_5/Figure_5b.py create mode 100644 FIGURES/Figure_6/Figure_6a.py create mode 100644 FIGURES/Figure_6/Figure_6b.py create mode 100644 FIGURES/Figure_7/Figure_7.py diff --git a/DATA/Carbon_Response/IRF_PD100_SMOOTHED_CO2.dat b/DATA/Carbon_Response/IRF_PD100_SMOOTHED_CO2.dat new file mode 100644 index 0000000..8ce5a76 --- /dev/null +++ b/DATA/Carbon_Response/IRF_PD100_SMOOTHED_CO2.dat @@ -0,0 +1,3007 @@ +# COLUMN 1 : YEAR +# ----------------------------------- +# COLUMN 2 : NCAR CSM1.4 +# COLUMN 3 : HadGEM2-ES +# COLUMN 4 : MPI-ESM +# COLUMN 5 : Bern3D-LPJ (reference) +# COLUMN 6 : Bern3D-LPJ (ensemble median) +# COLUMN 7 : Bern2.5D-LPJ +# COLUMN 8 : CLIMBER2-LPJ +# COLUMN 9 : DCESS +# COLUMN 10 : GENIE (ensemble median) +# COLUMN 11 : LOVECLIM +# COLUMN 12 : MESMO +# COLUMN 13 : UVic2.9 +# COLUMN 14 : ACC2 +# COLUMN 15 : Bern-SAR +# COLUMN 16 : MAGICC6 (ensemble median) +# COLUMN 17 : TOTEM2 +# ----------------------------------- +# COLUMN 18 : MULTI-MODEL MEAN +# COLUMN 19 : MULTI-MODEL STDEV +# + 5.0000000e-01 4.5780427e+01 4.5699516e+01 4.7062969e+01 4.5721374e+01 4.5646540e+01 4.3917359e+01 4.5864284e+01 4.4704057e+01 4.3492209e+01 4.3648101e+01 4.3315397e+01 4.4362812e+01 4.2408819e+01 4.4518633e+01 4.4944756e+01 4.2300117e+01 4.4511066e+01 1.3108875e+00 + 1.5000000e+00 4.1928942e+01 4.3665893e+01 4.4406151e+01 4.3477602e+01 4.3382139e+01 4.0139913e+01 4.1789565e+01 4.1681070e+01 4.0894253e+01 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+0.39060611E+03 +0.39028365E+03 +0.38997887E+03 +0.38968372E+03 +0.38938764E+03 +0.38908573E+03 +0.38877757E+03 +0.38846376E+03 +0.38813561E+03 +0.38779445E+03 +0.38745867E+03 +0.38713817E+03 +0.38683535E+03 +0.38654969E+03 +0.38627319E+03 +0.38599539E+03 +0.38571149E+03 +0.38542107E+03 +0.38512479E+03 +0.38481407E+03 +0.38449029E+03 +0.38417170E+03 \ No newline at end of file diff --git a/DATA/RCP_Data/RCP3PD_EMISSIONS.DAT b/DATA/RCP_Data/RCP3PD_EMISSIONS.DAT new file mode 100644 index 0000000..3a4d51d --- /dev/null +++ b/DATA/RCP_Data/RCP3PD_EMISSIONS.DAT @@ -0,0 +1,774 @@ + +RCP3PD__EMISSIONS____________________________ +CONTENT: GLOBAL ANNUAL EMISSIONS. +RUN: RCP3PD (RCP3-Peak&Decline), FINAL RELEASE, 26 Nov. 2009 +RCP3PD CONTACT: IMAGE group, Detlef van Vuuren (riahi@iiasa.ac.at) +DATE: 26/11/2009 11:29:06 +MAGICC-VERSION: 6.3.09, 25 November 2009 +FILE PRODUCED BY: RCP Concentration Calculation & Data Group, M. Meinshausen, S. Smith, K. Riahi, D. van Vuuren +DOCUMENTATION: M. Meinshausen, S. Smith et al. (2011) "The RCP GHG concentrations and their extension from 1765 to 2300", DOI 10.1007/s10584-011-0156-z, Climatic Change. +CMIP5 INFO: http://cmip-pcmdi.llnl.gov/cmip5/ +RCP DATABASE: http://www.iiasa.ac.at/web-apps/tnt/RcpDb +FURTHER INFO: For data sources, aknowledgements and further information, see http://www.pik-potsdam.de/~mmalte/rcps. +NOTE: THIS EMISSION DATASET ONLY TO BE USED FOR EMISSION-DRIVEN ESM CMIP5 RUNS, AS CONCENTRATIONS, NOT EMISSIONS, SHALL BE PRESCRIBED IN MAIN CMIP5 RUNS. + RCP3PD starts 2005; 20th century data and earlier is provided for convenience. + +COLUMN_DESCRIPTION________________________________________ +1. FossilCO2 - Fossil & Industrial CO2 (Fossil, Cement, Gas Flaring & Bunker Fuels) +2. OtherCO2 - Landuse related CO2 Emissions +3. CH4 - Methane +4. N2O - Nitrous Oxide +5. - 11. - Tropospheric ozone precursors, aerosols and reactive gas emissions +12. - 23. - Flourinated gases controlled under the Kyoto Protocol, (HFCs, PFCs, SF6) +24. - 39. - Ozone Depleting Substances controlled under the Montreal Protocol (CFCs, HFCFC, Halons, CCl4, MCF, CH3Br, CH3Cl) + + + &THISFILE_SPECIFICATIONS + THISFILE_DATACOLUMNS = 39, + THISFILE_FIRSTYEAR = 1765, + THISFILE_LASTYEAR = 2500, + THISFILE_ANNUALSTEPS = 1, + THISFILE_FIRSTDATAROW = 39, + THISFILE_UNITS = SEE ROW 37, + THISFILE_DATTYPE = RCPDAT + / + + COLUMN: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 + UNITS: GtC/yr GtC/yr MtCH4/yr MtN2O-N/yr MtS/yr MtCO/yr Mt/yr MtN/yr Mt/yr Mt/yr MtN/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr + YEARS FossilCO2 OtherCO2 CH4 N2O SOx CO NMVOC NOx BC OC NH3 CF4 C2F6 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file diff --git a/DATA/RCP_Data/RCP45_EMISSIONS.DAT b/DATA/RCP_Data/RCP45_EMISSIONS.DAT new file mode 100644 index 0000000..2c041b8 --- /dev/null +++ b/DATA/RCP_Data/RCP45_EMISSIONS.DAT @@ -0,0 +1,774 @@ + +RCP45__EMISSIONS____________________________ +CONTENT: GLOBAL ANNUAL EMISSIONS. +RUN: RCP4.5, FINAL RELEASE, 26 Nov. 2009 +RCP4.5 CONTACT: MiniCAM group, Allison Thomson (Allison.Thomson@pnl.gov) +DATE: 26/11/2009 11:29:06 +MAGICC-VERSION: 6.3.09, 25 November 2009 +FILE PRODUCED BY: RCP Concentration Calculation & Data Group, M. Meinshausen, S. Smith, K. Riahi, D. van Vuuren +DOCUMENTATION: M. Meinshausen, S. Smith et al. (2011) "The RCP GHG concentrations and their extension from 1765 to 2300", DOI 10.1007/s10584-011-0156-z, Climatic Change. +CMIP5 INFO: http://cmip-pcmdi.llnl.gov/cmip5/ +RCP DATABASE: http://www.iiasa.ac.at/web-apps/tnt/RcpDb +FURTHER INFO: For data sources, aknowledgements and further information, see http://www.pik-potsdam.de/~mmalte/rcps. +NOTE: THIS EMISSION DATASET ONLY TO BE USED FOR EMISSION-DRIVEN ESM CMIP5 RUNS, AS CONCENTRATIONS, NOT EMISSIONS, SHALL BE PRESCRIBED IN MAIN CMIP5 RUNS. + RCP4.5 starts 2005; 20th century data and earlier is provided for convenience. + +COLUMN_DESCRIPTION________________________________________ +1. FossilCO2 - Fossil & Industrial CO2 (Fossil, Cement, Gas Flaring & Bunker Fuels) +2. OtherCO2 - Landuse related CO2 Emissions +3. CH4 - Methane +4. N2O - Nitrous Oxide +5. - 11. - Tropospheric ozone precursors, aerosols and reactive gas emissions +12. - 23. - Flourinated gases controlled under the Kyoto Protocol, (HFCs, PFCs, SF6) +24. - 39. - Ozone Depleting Substances controlled under the Montreal Protocol (CFCs, HFCFC, Halons, CCl4, MCF, CH3Br, CH3Cl) + + + &THISFILE_SPECIFICATIONS + THISFILE_DATACOLUMNS = 39, + THISFILE_FIRSTYEAR = 1765, + THISFILE_LASTYEAR = 2500, + THISFILE_ANNUALSTEPS = 1, + THISFILE_FIRSTDATAROW = 39, + THISFILE_UNITS = SEE ROW 37, + THISFILE_DATTYPE = RCPDAT + / + + COLUMN: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 + UNITS: GtC/yr GtC/yr MtCH4/yr MtN2O-N/yr MtS/yr MtCO/yr Mt/yr MtN/yr Mt/yr Mt/yr MtN/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr + YEARS FossilCO2 OtherCO2 CH4 N2O SOx CO NMVOC NOx BC OC NH3 CF4 C2F6 C6F14 HFC23 HFC32 HFC43_10 HFC125 HFC134a HFC143a HFC227ea HFC245fa SF6 CFC_11 CFC_12 CFC_113 CFC_114 CFC_115 CARB_TET MCF HCFC_22 HCFC_141B HCFC_142B HALON1211 HALON1202 HALON1301 HALON2402 CH3BR CH3CL + 1765 0.30000000E-02 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.83383669E+00 0.10762744E-01 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.15726700E+03 0.31002110E+04 + 1766 0.30000000E-02 0.53382963E-02 0.19632619E+01 0.51910845E-02 0.98882647E-01 0.90502213E+01 0.15968747E+01 0.10950162E+00 0.10699800E+00 0.56591996E+00 0.85423057E+00 0.10752073E-01 0.00000000E+00 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file diff --git a/DATA/RCP_Data/RCP6_EMISSIONS.DAT b/DATA/RCP_Data/RCP6_EMISSIONS.DAT new file mode 100644 index 0000000..d09559b --- /dev/null +++ b/DATA/RCP_Data/RCP6_EMISSIONS.DAT @@ -0,0 +1,774 @@ + +_RCP6__EMISSIONS____________________________ +CONTENT: GLOBAL ANNUAL EMISSIONS; +RUN: RCP6, FINAL RELEASE, 30 May. 2010 +RCP6.0 CONTACT: AIM group, Toshihiko Masui (masui@nies.go.jp) & Kenichi Matsumoto (matsumoto.kenichi@nies.go.jp) +DATE: 30/5/2010 01:02:33 +MAGICC-VERSION: 6.3.09, 25 November 2009 +FILE PRODUCED BY: RCP Concentration Calculation & Data Group, M. Meinshausen, S. Smith, K. Riahi, D. van Vuuren et al. +DOCUMENTATION: M. Meinshausen, S. Smith et al. (2011) "The RCP GHG concentrations and their extension from 1765 to 2300", DOI 10.1007/s10584-011-0156-z, Climatic Change. +CMIP5 INFO: http://cmip-pcmdi.llnl.gov/cmip5/ +RCP DATABASE: http://www.iiasa.ac.at/web-apps/tnt/RcpDb +FURTHER INFO: For data sources, aknowledgements and further information, see http://www.pik-potsdam.de/~mmalte/rcps. +NOTE: THIS EMISSION DATASET ONLY TO BE USED FOR EMISSION-DRIVEN ESM CMIP5 RUNS, AS CONCENTRATIONS, NOT EMISSIONS, SHALL BE PRESCRIBED IN MAIN CMIP5 RUNS. + RCP6 starts 2005; 20th century data and earlier is provided for convenience; ECP6.0 standard extension with stabilisation beyond 2150. + +COLUMN_DESCRIPTION________________________________________ +1. FossilCO2 - Fossil & Industrial CO2 (Fossil, Cement, Gas Flaring & Bunker Fuels) +2. OtherCO2 - Landuse related CO2 Emissions +3. CH4 - Methane +4. N2O - Nitrous Oxide +5. - 11. - Tropospheric ozone precursors, aerosols and reactive gas emissions +12. - 23. - Flourinated gases controlled under the Kyoto Protocol, (HFCs, PFCs, SF6) +24. - 39. - Ozone Depleting Substances controlled under the Montreal Protocol (CFCs, HFCFC, Halons, CCl4, MCF, CH3Br, CH3Cl) + + + &THISFILE_SPECIFICATIONS + THISFILE_DATACOLUMNS = 39, + THISFILE_FIRSTYEAR = 1765, + THISFILE_LASTYEAR = 2500, + THISFILE_ANNUALSTEPS = 1, + THISFILE_FIRSTDATAROW = 39, + THISFILE_UNITS = SEE ROW 37, + THISFILE_DATTYPE = RCPDAT + / + + COLUMN: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 + UNITS: GtC/yr GtC/yr MtCH4/yr MtN2O-N/yr MtS/yr MtCO/yr Mt/yr MtN/yr Mt/yr Mt/yr MtN/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr + YEARS FossilCO2 OtherCO2 CH4 N2O SOx CO NMVOC NOx BC OC NH3 CF4 C2F6 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file diff --git a/DATA/RCP_Data/RCP85_EMISSIONS.DAT b/DATA/RCP_Data/RCP85_EMISSIONS.DAT new file mode 100644 index 0000000..22e4121 --- /dev/null +++ b/DATA/RCP_Data/RCP85_EMISSIONS.DAT @@ -0,0 +1,774 @@ + +RCP85__EMISSIONS____________________________ +CONTENT: GLOBAL ANNUAL EMISSIONS. +RUN: RCP8.5, FINAL RELEASE, 26 Nov. 2009 +RCP8.5 CONTACT: MESSAGE group, Keywan Riahi (riahi@iiasa.ac.at) +DATE: 26/11/2009 11:29:06 +MAGICC-VERSION: 6.3.09, 25 November 2009 +FILE PRODUCED BY: RCP Concentration Calculation & Data Group, M. Meinshausen, S. Smith, K. Riahi, D. van Vuuren +DOCUMENTATION: M. Meinshausen, S. Smith et al. (2011) "The RCP GHG concentrations and their extension from 1765 to 2300", DOI 10.1007/s10584-011-0156-z, Climatic Change. +CMIP5 INFO: http://cmip-pcmdi.llnl.gov/cmip5/ +RCP DATABASE: http://www.iiasa.ac.at/web-apps/tnt/RcpDb +FURTHER INFO: For data sources, aknowledgements and further information, see http://www.pik-potsdam.de/~mmalte/rcps. +NOTE: THIS EMISSION DATASET ONLY TO BE USED FOR EMISSION-DRIVEN ESM CMIP5 RUNS, AS CONCENTRATIONS, NOT EMISSIONS, SHALL BE PRESCRIBED IN MAIN CMIP5 RUNS. + RCP8.5 starts 2005; 20th century data and earlier is provided for convenience. + +COLUMN_DESCRIPTION________________________________________ +1. FossilCO2 - Fossil & Industrial CO2 (Fossil, Cement, Gas Flaring & Bunker Fuels) +2. OtherCO2 - Landuse related CO2 Emissions +3. CH4 - Methane +4. N2O - Nitrous Oxide +5. - 11. - Tropospheric ozone precursors, aerosols and reactive gas emissions +12. - 23. - Flourinated gases controlled under the Kyoto Protocol, (HFCs, PFCs, SF6) +24. - 39. - Ozone Depleting Substances controlled under the Montreal Protocol (CFCs, HFCFC, Halons, CCl4, MCF, CH3Br, CH3Cl) + + + &THISFILE_SPECIFICATIONS + THISFILE_DATACOLUMNS = 39, + THISFILE_FIRSTYEAR = 1765, + THISFILE_LASTYEAR = 2500, + THISFILE_ANNUALSTEPS = 1, + THISFILE_FIRSTDATAROW = 39, + THISFILE_UNITS = SEE ROW 37, + THISFILE_DATTYPE = RCPDAT + / + + COLUMN: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 + UNITS: GtC/yr GtC/yr MtCH4/yr MtN2O-N/yr MtS/yr MtCO/yr Mt/yr MtN/yr Mt/yr Mt/yr MtN/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr kt/yr + YEARS FossilCO2 OtherCO2 CH4 N2O SOx CO NMVOC NOx BC OC NH3 CF4 C2F6 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0.59200000E-01 0.77000000E-02 0.71400000E+00 0.83501100E+02 0.22740100E+02 0.15632390E+03 0.73118400E+03 0.49490600E+02 0.11970000E+00 0.13592900E+03 0.90440000E+00 0.96000000E-01 0.41780000E+01 0.50300000E+00 0.91300000E+00 0.24700000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.20000000E-02 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.80000000E-02 0.00000000E+00 0.16033900E+03 0.35110820E+04 + 2499 0.14872500E+01 0.00000000E+00 0.92314360E+03 0.13344000E+02 0.12856400E+02 0.69028320E+03 0.17623960E+03 0.26241600E+02 0.42496000E+01 0.23907200E+02 0.67176900E+02 0.71600000E-01 0.59200000E-01 0.77000000E-02 0.71400000E+00 0.83501100E+02 0.22740100E+02 0.15632390E+03 0.73118400E+03 0.49490600E+02 0.11970000E+00 0.13592900E+03 0.90440000E+00 0.96000000E-01 0.41780000E+01 0.50300000E+00 0.91400000E+00 0.24700000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.20000000E-02 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.80000000E-02 0.00000000E+00 0.16035100E+03 0.35110820E+04 + 2500 0.14846000E+01 0.00000000E+00 0.92319470E+03 0.13344000E+02 0.12856400E+02 0.69028320E+03 0.17623960E+03 0.26241600E+02 0.42496000E+01 0.23907200E+02 0.67176900E+02 0.71600000E-01 0.59200000E-01 0.77000000E-02 0.71400000E+00 0.83501100E+02 0.22740100E+02 0.15632390E+03 0.73118400E+03 0.49490600E+02 0.11970000E+00 0.13592900E+03 0.90440000E+00 0.96000000E-01 0.41780000E+01 0.50300000E+00 0.91400000E+00 0.24700000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.20000000E-02 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.80000000E-02 0.00000000E+00 0.16035100E+03 0.35110820E+04 diff --git a/FIGURES/Figure_5/Figure_5a.py b/FIGURES/Figure_5/Figure_5a.py new file mode 100644 index 0000000..d7f007b --- /dev/null +++ b/FIGURES/Figure_5/Figure_5a.py @@ -0,0 +1,77 @@ +# Generate Figure 5a of Van Zalinge et al. (2017), On determining the point of no return in climate change, Earth System Dynamics. +import numpy as N +import matplotlib.pyplot as plt +from numpy import trapz +import matplotlib as mpl +mpl.rcParams['lines.linewidth'] = 2 + +############# +#DATA PLASIM# +############# +# Instantaneous doubling +GMST_2CO2=N.load('../../DATA/PlaSim_Ensembles/2co2_ym.npy') +# Smooth increase of 1% per year +GMST_1PR=N.load('../../DATA/PlaSim_Ensembles/co2_1pr_ym.npy') +len_ens=200. + +##################################### +#FORCING PROFILE 1 PERCENT EACH YEAR# +##################################### +CO2=N.zeros(len_ens) +for i in N.arange(len_ens): + if i<=70: + CO2[i]=1./70.*i + else: + CO2[i]=1. + +##################################### +#EXPECTATION VALUE MINUS BEGIN VALUE# +##################################### +EXP_1pr=N.zeros(len_ens) +EXP_2CO2=N.zeros(len_ens) + +for i in N.arange(len_ens): + EXP_1pr[i]=N.mean(GMST_1PR[i])-287.804719046 + EXP_2CO2[i]=N.mean(GMST_2CO2[i])-287.804719046 +EXP_2CO2[0]=0 +EXP_1pr[0]=0 + +################ +#GREEN FUNCTION# +################ +Green=N.zeros(len_ens) +Green=N.gradient(EXP_2CO2) + +# N.save('/Users/user/Thesis_Brenda/Codes/Figure_14/DATA/Green_exp.npy',Green) +############# +#CONVOLUTION# +############# +exp_LRT=N.zeros(len_ens) +for t in N.arange(len_ens): + f=N.zeros(len_ens) + for sigma in N.arange(len_ens): + if t-sigma>=0: + f[sigma]=CO2[t-sigma] + else: + f[sigma]=0 + exp_LRT[t]=trapz(Green*f,dx=1) + +###### +#PLOT# +###### +plt.plot(exp_LRT+287.804719046,label="LRT",color='#0066FF') +plt.plot(EXP_1pr+287.804719046, label="PLASIM",color='#F37C51') + +#################### +#CUSTOMIZING LAYOUT# +#################### +plt.xlabel('Years',fontsize='20') +plt.ylabel('Exp (K)',fontsize='20') +plt.title("Expectation value GMST",fontsize='20') + +plt.xticks(fontsize='16') +plt.yticks(fontsize='16') + +plt.gcf().subplots_adjust(bottom=0.15) +plt.legend(loc=4, fontsize='16') +plt.show() diff --git a/FIGURES/Figure_5/Figure_5b.py b/FIGURES/Figure_5/Figure_5b.py new file mode 100644 index 0000000..dd88c2f --- /dev/null +++ b/FIGURES/Figure_5/Figure_5b.py @@ -0,0 +1,77 @@ +# Generate Figure 5b of Van Zalinge et al. (2017), On determining the point of no return in climate change, Earth System Dynamics. +import numpy as N +import matplotlib.pyplot as plt +from numpy import trapz +import matplotlib as mpl +mpl.rcParams['lines.linewidth'] = 2 + +############# +#DATA PLASIM# +############# +# Instantaneous doubling +GMST_2CO2=N.load('../../DATA/PlaSim_Ensembles/2co2_ym.npy') +# Smooth increase of 1% per year +GMST_1PR=N.load('../../DATA/PlaSim_Ensembles/co2_1pr_ym.npy') +len_ens=200. + +##################################### +#FORCING PROFILE 1 PERCENT EACH YEAR# +##################################### +CO2=N.zeros(len_ens) +for i in N.arange(len_ens): + if i<=70: + CO2[i]=1./70.*i + else: + CO2[i]=1. + +##################################### +#VARECTATION VALUE MINUS BEGIN VALUE# +##################################### +VAR_1pr=N.zeros(len_ens) +VAR_2CO2=N.zeros(len_ens) + +for i in N.arange(len_ens): + VAR_1pr[i]=N.var(GMST_1PR[i])-0.00843298290214 + VAR_2CO2[i]=N.var(GMST_2CO2[i])-0.00843298290214 + + +################ +#GREEN FUNCTION# +################ +Green=N.zeros(len_ens) +Green=N.gradient(VAR_2CO2) + +# N.save('/Users/user/Thesis_Brenda/Codes/Figure_14/DATA/Green_var.npy',Green) + +############# +#CONVOLUTION# +############# +var_LRT=N.zeros(len_ens) +for t in N.arange(len_ens): + f=N.zeros(len_ens) + for sigma in N.arange(len_ens): + if t-sigma>=0: + f[sigma]=CO2[t-sigma] + else: + f[sigma]=0 + var_LRT[t]=trapz(Green*f,dx=1) + +###### +#PLOT# +###### +plt.plot(var_LRT+0.00843298290214, label="LRT",color='#0066FF') +plt.plot(VAR_1pr+0.00843298290214, label="PLASIM",color='#F37C51') + +#################### +#CUSTOMIZING LAYOUT# +#################### +plt.legend(loc=4, fontsize='16') +plt.xlabel('Years',fontsize='20') +plt.ylabel('VAR (K$^2$)',fontsize='20') +plt.xticks(fontsize='16') +plt.yticks(fontsize='16') +plt.title("Variance GMST",fontsize='20') +plt.gcf().subplots_adjust(bottom=0.15) +plt.gcf().subplots_adjust(left=0.17) + +plt.show() diff --git a/FIGURES/Figure_6/Figure_6a.py b/FIGURES/Figure_6/Figure_6a.py new file mode 100644 index 0000000..ffdef6e --- /dev/null +++ b/FIGURES/Figure_6/Figure_6a.py @@ -0,0 +1,90 @@ +# Generate Figure 6a of Van Zalinge et al. (2017), On determining the point of no return in climate change, Earth System Dynamics. +import numpy as N +import matplotlib.pyplot as plt +import matplotlib.colors +import matplotlib as mpl +mpl.rcParams['lines.linewidth'] = 2. + +######################### +#THE POINT OF NO RETURNS# +######################### +PofnoR45=2055 +PofnoR60=2057 +PofnoR85=2047 +PofnoR26=2097 + +############### +#RCP SCENARIOS# +############### +file = open("../../DATA/RCP_Data/RCP45.dat","r") +lines = file.readlines() +RCP45=N.array(lines,'f') + +file = open("../../DATA/RCP_Data/RCP85.dat","r") +lines = file.readlines() +RCP85=N.array(lines,'f') + +file = open("../../DATA/RCP_Data/RCP60.dat","r") +lines = file.readlines() +RCP60=N.array(lines,'f') + +file = open("../../DATA/RCP_Data/RCP26.dat","r") +lines = file.readlines() +RCP26=N.array(lines,'f') + +################### +#EXPONENTIAL DECAY# +################### +def f(t,C_0): + y=(C_0-400.)*N.exp(-t/25.)+400. + return y + +tt=N.arange(2000,2200) + +############ +#PLOT RCP85# +############ +plt.plot(tt,RCP85,color='#9D0444') + +plt.plot(tt[PofnoR85-2000:],f(N.arange(len(tt[PofnoR85-2000:])),RCP85[PofnoR85-2000]),color='#9D0444',linestyle=':') +plt.scatter(tt[PofnoR85-2000:][0],RCP85[PofnoR85-2000], marker='o',s=90, color='#9D0444',linestyle=':',label='RCP8.5 $\pi_t=2047$') + +############ +#PLOT RCP60# +############ +plt.plot(tt,RCP60,color='#F37C51') + +plt.plot(tt[PofnoR60-2000:],f(N.arange(len(tt[PofnoR60-2000:])),RCP60[PofnoR60-2000]),color='#F37C51',linestyle=':') +plt.scatter(tt[PofnoR60-2000:][0],RCP60[PofnoR60-2000], marker='o',s=90, color='#F37C51',linestyle=':',label='RCP6.0 $\pi_t=2057$') + +############ +#PLOT RCP45# +############ +plt.plot(tt,RCP45,color='#0066FF') + +plt.plot(tt[PofnoR45-2000:],f(N.arange(len(tt[PofnoR45-2000:])),RCP45[PofnoR45-2000]),color='#0066FF',linestyle=':') +plt.scatter(tt[PofnoR45-2000:][0],RCP45[PofnoR45-2000], marker='o',s=90, color='#0066FF',linestyle=':',label='RCP4.5 $\pi_t=2055$') + + +############ +#PLOT RCP26# +############ +plt.plot(tt,RCP26,color='#148F77') + +plt.plot(tt[PofnoR26-2000:],f(N.arange(len(tt[PofnoR26-2000:])),RCP26[PofnoR26-2000]),color='#148F77',linestyle=':') +plt.scatter(tt[PofnoR26-2000:][0],RCP26[PofnoR26-2000], marker='o',s=90, color='#148F77',linestyle=':',label='RCP2.6 $\pi_t=2097$') + +#################### +#CUSTOMIZING LAYOUT# +#################### +plt.xticks(fontsize='16') +plt.yticks(fontsize='16') +plt.xlabel("Year", fontsize=20) +plt.ylabel('CO$_2$eq (ppmv)',fontsize='20') + +plt.gcf().subplots_adjust(bottom=0.13) + +#plt.legend(scatterpoints=1, loc=1, fontsize='16') +plt.legend(scatterpoints=1, fontsize='16', loc=3, ncol=2)#, mode='expand', scatterpoints=1, fontsize='16') +plt.axis([2000,2150,250,750]) +plt.show() diff --git a/FIGURES/Figure_6/Figure_6b.py b/FIGURES/Figure_6/Figure_6b.py new file mode 100644 index 0000000..50d2b25 --- /dev/null +++ b/FIGURES/Figure_6/Figure_6b.py @@ -0,0 +1,67 @@ +# Generate Figure 6b of Van Zalinge et al. (2017), On determining the point of no return in climate change, Earth System Dynamics. +import numpy as N +import matplotlib.pyplot as plt +import matplotlib.colors +import matplotlib as mpl +mpl.rcParams['lines.linewidth'] = 2. + +######################### +#THE POINT OF NO RETURNS# +######################### +PofnoR08=2057 +PofnoR09=2055 +PofnoR099=2051 + +############### +#RCP SCENARIOS# +############### +file = open("../../DATA/RCP_Data/RCP45.dat","r") +lines = file.readlines() +RCP45=N.array(lines,'f') + +################### +#EXPONENTIAL DECAY# +################### +def f(t,C_0): + y=(C_0-400.)*N.exp(-t/25.)+400. + return y + +tt=N.arange(2000,2200) + +#################### +#PROBABILITY IS 0.8# +#################### +plt.plot(tt,RCP45[:200],color='#0066FF') + +plt.plot(tt[PofnoR08-2000:],f(N.arange(len(tt[PofnoR08-2000:])),RCP45[PofnoR08-2000]),color='#148F77',linestyle=':') +plt.scatter(tt[PofnoR08-2000:][0],RCP45[PofnoR08-2000], marker='o',s=90, color='#148F77',label='$\\beta_T=0.80$ $\pi_t=2057$') + +#################### +#PROBABILITY IS 0.9# +#################### +plt.plot(tt[PofnoR09-2000:],f(N.arange(len(tt[PofnoR09-2000:])),RCP45[PofnoR09-2000]),color='#F37C51',linestyle=':') +plt.scatter(tt[PofnoR09-2000:][0],RCP45[PofnoR09-2000], marker='o',s=90, color='#F37C51',label='$\\beta_T=0.90$ $\pi_t=2055$') + + +##################### +#PROBABILITY IS 0.99# +##################### +plt.plot(tt[PofnoR099-2000:],f(N.arange(len(tt[PofnoR099-2000:])),RCP45[PofnoR099-2000]),color='#9D0444',linestyle=':') +plt.scatter(tt[PofnoR099-2000:][0],RCP45[PofnoR099-2000], marker='o',s=90, color='#9D0444',label='$\\beta_T=0.99$ $\pi_t=2051$') + + + +#################### +#CUSTOMIZING LAYOUT# +#################### +plt.xticks(fontsize='16') +plt.yticks(fontsize='16') + +plt.xlabel("Year", fontsize=20) +plt.ylabel('CO$_2$eq (ppmv)',fontsize='20') + +plt.gcf().subplots_adjust(bottom=0.13) +plt.legend(scatterpoints=1,loc=4, fontsize='16') +plt.axis([2000,2200,250,600]) + +plt.show() diff --git a/FIGURES/Figure_7/Figure_7.py b/FIGURES/Figure_7/Figure_7.py new file mode 100644 index 0000000..46db98e --- /dev/null +++ b/FIGURES/Figure_7/Figure_7.py @@ -0,0 +1,346 @@ +# Generate Figure 7a, 7b of Van Zalinge et al. (2017), On determining the point of no return in climate change, Earth System Dynamics. +# ============================================================ +# PACKAGE IMPORT +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import os + +from datetime import datetime,timedelta +from scipy.optimize import leastsq +from scipy.stats import norm + +# Graphics functions ========================================= +def figsize(scale): + '''Give fraction of width, get figsize in inches with height scaled according to golden_mean''' + fig_width_pt = 426.79135 # Get this from LaTeX using \the\textwidth + inches_per_pt = 1.0/72.27 # Convert pt to inch + golden_mean = (np.sqrt(5.0)-1.0)/2.0 # Aesthetic ratio (you could change this) + fig_width = fig_width_pt*inches_per_pt*scale # width in inches + fig_height = fig_width*golden_mean # height in inches + fig_size = [fig_width,fig_height] + return fig_size + +def figsize2(width,height): + '''Give fraction of width and heigt, get figsize in inches''' + textwidth_pt = 426.79135 + textheight_pt = 426.79135 + inches_per_pt = 1.0/72.27 + return textwidth_pt * inches_per_pt * width,textheight_pt * inches_per_pt * height + +# I make my own newfig and savefig functions +def newfig(width,nr=1,nc=1,**kwargs): + '''use function figsize''' + fig,ax = plt.subplots(nrows=nr,ncols=nc,figsize=figsize(width),**kwargs) + return fig, ax + +def newfig2(width,height,nr=1,nc=1,**kwargs): + '''use function figsize2''' + fig,ax = plt.subplots(nrows=nr,ncols=nc,figsize=figsize2(width,height),**kwargs) + return fig, ax + +def savefig(fig,filename): + fig.savefig('{}.pgf'.format(filename),bbox_inches='tight',dpi=400,rasterized=True) + fig.savefig('{}.pdf'.format(filename),bbox_inches='tight',dpi=400,rasterized=True) + +# ============================================================ +# Further Functions + +# Mitigation scenarios +def mitscen(emis,tstart,efold): + '''return emissions under a reduction scenario that starts at t=tstart and decays expoentially with efolding timescale efold + assumes timestep of Delta t = 1 yr and tstart is counted from the start with t_start = 0 + ''' + emisreduce = np.zeros(emis.shape) + index = np.arange(emis.shape[0]) + emisreduce[:] = emis + emisreduce[index>=tstart] = emis[tstart] * np.exp(-(index[tstart:]-tstart)/efold) + + return emisreduce + +# Radiative forcing +def getRadForcCO2(C): + '''radiative forcing due to CO2 relative to 1750''' + alpha = 5.35 + C0 = 278 # ppm # pre-industrial CO2 (1750) + return alpha * np.log(C/C0) + +# Compute temperature response +def getDeltaTCO2_v1(EMIS_CO2_GtC,CO2_0,G_CO2,G_Temp,radForc_factor): + ''' + compute Temperature response from emissions + radiative forcing is scaled up by a factor of 'radForc_factor' + ''' + MA = 28.97 # kg kmol^{-1} # mean molecular weight of air + MC = 12.011 # kg kmol^{-1} # mean molecular weight of C + TM = 5.1352e18 # kg # total mass of atmosphere + factorC = (1/MC) * (MA/TM) * 1e18 # conversion from Gt to ppm + EMIS_CO2_ppm = factorC * EMIS_CO2_GtC + + # Compute CO2 concentration as function of time + DeltaC_CO2_ppm = np.convolve(G_CO2,EMIS_CO2_ppm,mode='full')[:EMIS_CO2_ppm.shape[0]] + C_CO2_ppm = CO2_0 + DeltaC_CO2_ppm + # Compute radiative forcing relative to 1750 + radForc_CO2 = getRadForcCO2(C_CO2_ppm) * radForc_factor + + # Compute temperature perturbation + DeltaT_CO2 = np.convolve(G_Temp,radForc_CO2,mode='full')[:radForc_CO2.shape[0]] + + res = { + 'EMIS_GtC':EMIS_CO2_GtC, + 'EMIS_ppm':EMIS_CO2_ppm, + 'C_CO2_ppm':C_CO2_ppm, + 'radForc_CO2':radForc_CO2, + 'DeltaT_CO2':DeltaT_CO2 + } + return res + +# Joos et al., 2013 IRF for emissions to concentrations +def IRFexpFit(a0,a1,a2,a3,tau1,tau2,tau3,time): + '''exponential fit from Joos et al., 2011''' + return a0 + a1 * np.exp(-time/tau1) + a2 * np.exp(-time/tau2) + a3 * np.exp(-time/tau3) + +# Fit exponential +def fitGfunc4(time,a1,t1): + return a1 * np.exp(-time/t1) + +def devGGfit(params,time,Garr,Gfunc): + ''' deviation between fit and data''' + return Gfunc(time,*params) - Garr + +# ============================================================ +# ============================================================ +# DATA + +# Load RCP Emission data +emisrcp26 = pd.read_table('../../DATA/RCP_Data/RCP3PD_EMISSIONS.DAT',skiprows=37,delim_whitespace=True,index_col=0,parse_dates=True,infer_datetime_format=True) +emisrcp26.index = pd.period_range('%i-01-01'%emisrcp26.index[0],'%i-01-01' % emisrcp26.index[-1],freq='a') + +emisrcp45 = pd.read_table('../../DATA/RCP_Data/RCP45_EMISSIONS.DAT',skiprows=37,delim_whitespace=True,index_col=0,parse_dates=True,infer_datetime_format=True) +emisrcp45.index = pd.period_range('%i-01-01'%emisrcp45.index[0],'%i-01-01' % emisrcp45.index[-1],freq='a') + +emisrcp60 = pd.read_table('../../DATA/RCP_Data/RCP6_EMISSIONS.DAT',skiprows=37,delim_whitespace=True,index_col=0,parse_dates=True,infer_datetime_format=True) +emisrcp60.index = pd.period_range('%i-01-01'%emisrcp60.index[0],'%i-01-01' % emisrcp60.index[-1],freq='a') + +emisrcp85 = pd.read_table('../../DATA/RCP_Data/RCP85_EMISSIONS.DAT',skiprows=37,delim_whitespace=True,index_col=0,parse_dates=True,infer_datetime_format=True) +emisrcp85.index = pd.period_range('%i-01-01'%emisrcp85.index[0],'%i-01-01' % emisrcp85.index[-1],freq='a') + +# ============================================================ +# GREEN FUNCTIONS + +# CARBON GREEN FUNCTION FROM JOOS ET AL., 2013 +a0,a1,a2,a3,tau1,tau2,tau3=2.17278e-01, 2.24037e-01, 2.82381e-01, 2.76303e-01, 3.94409e+02, 3.65393e+01, 4.30365e+00 +time1000 = np.arange(1000) +# For mean response +G_CO2 = IRFexpFit(a0,a1,a2,a3,tau1,tau2,tau3,time1000) + +# Variance from Joos Data +pd100 = np.loadtxt('../../DATA/Carbon_Response/IRF_PD100_SMOOTHED_CO2.dat') +G_CO2_var = pd100[:1000,18]**2 + +# PLASIM Data +# add pre-industrial reference before perturbation at 0-th timestep for each member +T0 = 287.804719046 # K # reference temperature, pre-industrial +Tvar0 = 0.00843298290214 # K^2 # pre-industrial temperature variance +GMST_2co2 = np.zeros((201,201)) +GMST_2co2[1:,:] = np.load('../../DATA/PlaSim_Ensembles/2co2_ym.npy') +GMST_2co2[0,:] = T0 +GMST_1pct = np.zeros((201,201)) +GMST_1pct[1:,:] = np.load('../../DATA/PlaSim_Ensembles/co2_1pr_ym.npy') +GMST_1pct[0,:] = T0 + +# ensemble mean +EXP_2co2 = GMST_2co2.mean(axis=1) +EXP_1pct = GMST_1pct.mean(axis=1) + +# ensemble standard deviation +VAR_2co2 = GMST_2co2.var(axis=1) +VAR_1pct = GMST_1pct.var(axis=1) + +VAR_2co2[0] = Tvar0 +VAR_1pct[0] = Tvar0 + +# CO2 Forcing in ppm for abrupt and smooth scenarios +C0 = 278 # ppm +CO2_2co2 = C0 * np.ones(EXP_2co2.shape[0]) +CO2_2co2[1:] = 2 * C0 + +CO2_1pct = C0 * 1.01**(np.arange(EXP_1pct.shape[0])) +CO2_1pct[CO2_1pct>2*C0] = 2*C0 + +# Radiative forcing in W m^-2 from CO2 Forcing +F2co2 = getRadForcCO2(CO2_2co2) +F1pct = getRadForcCO2(CO2_1pct) + +# Compute Data based green functions +Garrd = 1/F2co2[1] * np.diff(EXP_2co2) +Garrd = np.array(list(Garrd)+[Garrd[-1]]) + +Garr_vard = 1/F2co2[1] * np.diff(VAR_2co2) +Garr_vard = np.array(list(Garr_vard)+[Garr_vard[-1]]) + +# For long simulations (longer than the simulations on which the Green function is based) we need to extend the Green function. We do so by exponential fits to the data and thereby generate response function for simulations of up to 500 years duration. The data-based functions are used for as long as possible + +# Green function for mean response +time = np.arange(Garrd.shape[0]) +par7 = leastsq(devGGfit,[1,2],args=(time[1:],Garrd[1:],fitGfunc4))[0] + +time500 = np.arange(500) +G_Temp_i = fitGfunc4(time500,*par7) +G_Temp_i[0] = Garrd[0] + +# Assign data-based Green function for t<=200 years +G_Temp = np.copy(G_Temp_i) +G_Temp[:Garrd.shape[0]] = Garrd + +# Green function for variance of response +# Variance: Simple white noise with mean and variance from data-based G +time500 = np.arange(500) +Garr_var = np.random.normal(loc=Garr_vard.mean(),scale=Garr_vard.std(),size=len(time500)) +Garr_var[:Garr_vard.shape[0]] = Garr_vard + +# ============================================================ +# SIMULATION RESULTS + +# Compute temperature distributions for mitigation scenarios, based on RCP emissions, with exponential emission reduction starting in a given year + +CO2_0 = 278.05158 # ppm # pre-industrial CO2 concentration + +# RCP2.6 +muT2100 = pd.Series(index=np.arange(2005,2099).astype('str')) +varT200_Tonly = pd.Series(index=np.arange(2005,2099).astype('str')) + +for tstart in range(2005,2100): + emisco226 = mitscen(emisrcp26['FossilCO2'][:'2100'].values,tstart-1765,25) + res = getDeltaTCO2_v1(emisco226,CO2_0,G_CO2,G_Temp,0.6) + muT2100[str(tstart)] = res['DeltaT_CO2'][-1] + + varT200_Tonly[str(tstart)] = Tvar0 + np.convolve(Garr_var,res['radForc_CO2'],mode='full')[:res['radForc_CO2'].shape[0]][-1] + +T0926 = norm.ppf(0.9,muT2100,varT200_Tonly**0.5) + +# RCP4.5 +muT2100 = pd.Series(index=np.arange(2005,2099).astype('str')) +varT200_Tonly = pd.Series(index=np.arange(2005,2099).astype('str')) + +for tstart in range(2005,2100): + emisco245 = mitscen(emisrcp45['FossilCO2'][:'2100'].values,tstart-1765,25) + res = getDeltaTCO2_v1(emisco245,CO2_0,G_CO2,G_Temp,0.6) + muT2100[str(tstart)] = res['DeltaT_CO2'][-1] + + varT200_Tonly[str(tstart)] = Tvar0 + np.convolve(Garr_var,res['radForc_CO2'],mode='full')[:res['radForc_CO2'].shape[0]][-1] + +T0945 = norm.ppf(0.9,muT2100,varT200_Tonly**0.5) + +# RCP6.0 +muT2100 = pd.Series(index=np.arange(2005,2099).astype('str')) +varT200_Tonly = pd.Series(index=np.arange(2005,2099).astype('str')) + +for tstart in range(2005,2100): + emisco260 = mitscen(emisrcp60['FossilCO2'][:'2100'].values,tstart-1765,25) + res = getDeltaTCO2_v1(emisco260,CO2_0,G_CO2,G_Temp,0.6) + muT2100[str(tstart)] = res['DeltaT_CO2'][-1] + + varT200_Tonly[str(tstart)] = Tvar0 + np.convolve(Garr_var,res['radForc_CO2'],mode='full')[:res['radForc_CO2'].shape[0]][-1] + +T0960 = norm.ppf(0.9,muT2100,varT200_Tonly**0.5) + +# RCP8.5 +muT2100 = pd.Series(index=np.arange(2005,2099).astype('str')) +varT200_Tonly = pd.Series(index=np.arange(2005,2099).astype('str')) + +for tstart in range(2005,2100): + emisco285 = mitscen(emisrcp85['FossilCO2'][:'2100'].values,tstart-1765,25) + res = getDeltaTCO2_v1(emisco285,CO2_0,G_CO2,G_Temp,0.6) + muT2100[str(tstart)] = res['DeltaT_CO2'][-1] + + varT200_Tonly[str(tstart)] = Tvar0 + np.convolve(Garr_var,res['radForc_CO2'],mode='full')[:res['radForc_CO2'].shape[0]][-1] + +T0985 = norm.ppf(0.9,muT2100,varT200_Tonly**0.5) + + +# Point of no return +T0926 = pd.Series(T0926,index=muT2100.index) +T0945 = pd.Series(T0945,index=muT2100.index) +T0960 = pd.Series(T0960,index=muT2100.index) +T0985 = pd.Series(T0985,index=muT2100.index) + + +# ============================================================ +# PLOTTING +# ============================================================ + +# FIGURE 7a + +fig,ax = newfig(1.0) +T0926.plot(ax=ax,label='RCP2.6') +T0945.plot(ax=ax,label='RCP4.5') +T0960.plot(ax=ax,label='RCP6.0') +T0985.plot(ax=ax,label='RCP8.5') +pd.Series(2*np.ones(T0985.shape),index=muT2100.index).plot(c='k',linestyle='--',label='') +ax.set_xlabel('year starting to reduce emissions') +ax.set_ylabel(r'$90\%$ Warming in 2100 relative to pre-industrial') +ax.set_title(r'PLASIM warming for exponential emissions decrease (25 yr)') +ax.legend() +#savefig(fig,'PLASIM_DeltaT_emisreduce6_2') +plt.show() + + +# ============================================ + +#FIGURE 7b + +#PofnoR26 = T0926.index[np.where(T0926>=2)[0][0]] +PofnoR45 = int(T0945.index[np.where(T0945>=2)[0][0]]) +PofnoR60 = int(T0960.index[np.where(T0960>=2)[0][0]]) +PofnoR85 = int(T0985.index[np.where(T0985>=2)[0][0]]) + +# Plot concentrations for mitigation starting at point of no return +fig,ax = newfig(1.0) +years = np.arange(1765,2101) + +# RCP2.6 +resn26 = getDeltaTCO2_v1(emisrcp26['FossilCO2'][:'2100'].values,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resn26['C_CO2_ppm'],c='C0') + +# RCP4.5 +resn45 = getDeltaTCO2_v1(emisrcp45['FossilCO2'][:'2100'].values,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resn45['C_CO2_ppm'],c='C1') + +emisco245 = mitscen(emisrcp45['FossilCO2'][:'2100'].values,PofnoR45-1765,25) +resy45 = getDeltaTCO2_v1(emisco245,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resy45['C_CO2_ppm'],'--',c='C1') + +# RCP6.0 +resn60 = getDeltaTCO2_v1(emisrcp60['FossilCO2'][:'2100'].values,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resn60['C_CO2_ppm'],c='C2') + +emisco260 = mitscen(emisrcp60['FossilCO2'][:'2100'].values,PofnoR60-1765,25) +resy60 = getDeltaTCO2_v1(emisco260,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resy60['C_CO2_ppm'],'--',c='C2') + +# RCP8.5 +resn85 = getDeltaTCO2_v1(emisrcp85['FossilCO2'][:'2100'].values,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resn85['C_CO2_ppm'],c='C3') + +emisco285 = mitscen(emisrcp85['FossilCO2'][:'2100'].values,PofnoR85-1765,25) +resy85 = getDeltaTCO2_v1(emisco285,CO2_0,G_CO2,G_Temp,0.6) +ax.plot(years,resy85['C_CO2_ppm'],'--',c='C3') + +ax.plot(PofnoR45,resy45['C_CO2_ppm'][np.where(years==PofnoR45)],'o',label=r'RCP4.5, $\pi_t = %i$' % PofnoR45,c='C1') +ax.plot(PofnoR60,resy60['C_CO2_ppm'][np.where(years==PofnoR60)],'o',label=r'RCP6.0, $\pi_t = %i$' % PofnoR60,c='C2') +ax.plot(PofnoR85,resy85['C_CO2_ppm'][np.where(years==PofnoR85)],'o',label=r'RCP8.5, $\pi_t = %i$' % PofnoR85,c='C3') + +ax.set_xlim(2000,2100) +ax.set_ylim(350,600) +ax.ticklabel_format(axis='x',scilimits=(-5,5)) +ax.legend() +ax.set_xlabel('Year') +ax.set_ylabel(r'CO$_2$ (ppm)') + +#savefig(fig,'PLASIM_PofnoR_CO2') +plt.show() + +# ============================================================ + +# End of script