{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import netCDF4 as nc\n",
"import matplotlib.pylab as plt\n",
"import imp\n",
"import csv\n",
"import pandas as pd\n",
"from io import StringIO"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# AISM_VUB\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_AISM_VUB_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_AISM_VUB_SU_RCP45 = SL_wTd_nos_base_AISM_VUB_R1_RCP45+SL_wTd_nos_base_AISM_VUB_R2_RCP45+SL_wTd_nos_base_AISM_VUB_R3_RCP45+SL_wTd_nos_base_AISM_VUB_R4_RCP45+SL_wTd_nos_base_AISM_VUB_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# BISI_LBL\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_BISI_LBL_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_BISI_LBL_SU_RCP45 = SL_wTd_nos_base_BISI_LBL_R1_RCP45+SL_wTd_nos_base_BISI_LBL_R2_RCP45+SL_wTd_nos_base_BISI_LBL_R3_RCP45+SL_wTd_nos_base_BISI_LBL_R4_RCP45+SL_wTd_nos_base_BISI_LBL_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# CISM_NCA\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_CISM_NCA_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_CISM_NCA_SU_RCP45 = SL_wTd_nos_base_CISM_NCA_R1_RCP45+SL_wTd_nos_base_CISM_NCA_R2_RCP45+SL_wTd_nos_base_CISM_NCA_R3_RCP45+SL_wTd_nos_base_CISM_NCA_R4_RCP45+SL_wTd_nos_base_CISM_NCA_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# FETI_VUB\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_FETI_VUB_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_FETI_VUB_SU_RCP45 = SL_wTd_nos_base_FETI_VUB_R1_RCP45+SL_wTd_nos_base_FETI_VUB_R2_RCP45+SL_wTd_nos_base_FETI_VUB_R3_RCP45+SL_wTd_nos_base_FETI_VUB_R4_RCP45+SL_wTd_nos_base_FETI_VUB_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# GRIS_LSC\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_GRIS_LSC_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_GRIS_LSC_SU_RCP45 = SL_wTd_nos_base_GRIS_LSC_R1_RCP45+SL_wTd_nos_base_GRIS_LSC_R2_RCP45+SL_wTd_nos_base_GRIS_LSC_R3_RCP45+SL_wTd_nos_base_GRIS_LSC_R4_RCP45+SL_wTd_nos_base_GRIS_LSC_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# IMAU_VUB\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_IMAU_VUB_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_IMAU_VUB_SU_RCP45 = SL_wTd_nos_base_IMAU_VUB_R1_RCP45+SL_wTd_nos_base_IMAU_VUB_R2_RCP45+SL_wTd_nos_base_IMAU_VUB_R3_RCP45+SL_wTd_nos_base_IMAU_VUB_R4_RCP45+SL_wTd_nos_base_IMAU_VUB_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# ISSM_JPL\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_ISSM_JPL_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_ISSM_JPL_SU_RCP45 = SL_wTd_nos_base_ISSM_JPL_R1_RCP45+SL_wTd_nos_base_ISSM_JPL_R2_RCP45+SL_wTd_nos_base_ISSM_JPL_R3_RCP45+SL_wTd_nos_base_ISSM_JPL_R4_RCP45+SL_wTd_nos_base_ISSM_JPL_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# ISSM_UCI\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_ISSM_UCI_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_ISSM_UCI_SU_RCP45 = SL_wTd_nos_base_ISSM_UCI_R1_RCP45+SL_wTd_nos_base_ISSM_UCI_R2_RCP45+SL_wTd_nos_base_ISSM_UCI_R3_RCP45+SL_wTd_nos_base_ISSM_UCI_R4_RCP45+SL_wTd_nos_base_ISSM_UCI_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# MALI_LAN\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_MALI_LAN_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_MALI_LAN_SU_RCP45 = SL_wTd_nos_base_MALI_LAN_R1_RCP45+SL_wTd_nos_base_MALI_LAN_R2_RCP45+SL_wTd_nos_base_MALI_LAN_R3_RCP45+SL_wTd_nos_base_MALI_LAN_R4_RCP45+SL_wTd_nos_base_MALI_LAN_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# PISM_AWI\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_PISM_AWI_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_PISM_AWI_SU_RCP45 = SL_wTd_nos_base_PISM_AWI_R1_RCP45+SL_wTd_nos_base_PISM_AWI_R2_RCP45+SL_wTd_nos_base_PISM_AWI_R3_RCP45+SL_wTd_nos_base_PISM_AWI_R4_RCP45+SL_wTd_nos_base_PISM_AWI_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# PISM_DMI\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_PISM_DMI_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_PISM_DMI_SU_RCP45 = SL_wTd_nos_base_PISM_DMI_R1_RCP45+SL_wTd_nos_base_PISM_DMI_R2_RCP45+SL_wTd_nos_base_PISM_DMI_R3_RCP45+SL_wTd_nos_base_PISM_DMI_R4_RCP45+SL_wTd_nos_base_PISM_DMI_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# PISM_PIK\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_PISM_PIK_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_PISM_PIK_SU_RCP45 = SL_wTd_nos_base_PISM_PIK_R1_RCP45+SL_wTd_nos_base_PISM_PIK_R2_RCP45+SL_wTd_nos_base_PISM_PIK_R3_RCP45+SL_wTd_nos_base_PISM_PIK_R4_RCP45+SL_wTd_nos_base_PISM_PIK_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# PISM_VUW\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_PISM_VUW_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_PISM_VUW_SU_RCP45 = SL_wTd_nos_base_PISM_VUW_R1_RCP45+SL_wTd_nos_base_PISM_VUW_R2_RCP45+SL_wTd_nos_base_PISM_VUW_R3_RCP45+SL_wTd_nos_base_PISM_VUW_R4_RCP45+SL_wTd_nos_base_PISM_VUW_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# PS3D_PSU\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_PS3D_PSU_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_PS3D_PSU_SU_RCP45 = SL_wTd_nos_base_PS3D_PSU_R1_RCP45+SL_wTd_nos_base_PS3D_PSU_R2_RCP45+SL_wTd_nos_base_PS3D_PSU_R3_RCP45+SL_wTd_nos_base_PS3D_PSU_R4_RCP45+SL_wTd_nos_base_PS3D_PSU_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# SICO_UHO\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_SICO_UHO_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_SICO_UHO_SU_RCP45 = SL_wTd_nos_base_SICO_UHO_R1_RCP45+SL_wTd_nos_base_SICO_UHO_R2_RCP45+SL_wTd_nos_base_SICO_UHO_R3_RCP45+SL_wTd_nos_base_SICO_UHO_R4_RCP45+SL_wTd_nos_base_SICO_UHO_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# Read data\n",
"# UA_UNN\n",
"\n",
"fname=\"../ComputeProjections4OneIceModel_SSPs/EnsembleSingleModelProjections/SL_wTd_nos_base_UA_UNN_RCP45.nc\"\n",
"ncf = nc.Dataset(fname, \"r\")\n",
"\n",
"Time = ncf.variables[\"Time\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R0_RCP45 = ncf.variables[\"Antarctica\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R1_RCP45 = ncf.variables[\"EAIS\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R2_RCP45 = ncf.variables[\"Ross\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R3_RCP45 = ncf.variables[\"Amundsen\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R4_RCP45 = ncf.variables[\"Weddell\"][:]\n",
"SL_wTd_nos_base_UA_UNN_R5_RCP45 = ncf.variables[\"Peninsula\"][:]\n",
"SL_wTd_nos_base_UA_UNN_SU_RCP45 = SL_wTd_nos_base_UA_UNN_R1_RCP45+SL_wTd_nos_base_UA_UNN_R2_RCP45+SL_wTd_nos_base_UA_UNN_R3_RCP45+SL_wTd_nos_base_UA_UNN_R4_RCP45+SL_wTd_nos_base_UA_UNN_R5_RCP45\n",
"ncf.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"SL_wTd_nos_base_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_SU_RCP45,SL_wTd_nos_base_BISI_LBL_SU_RCP45,SL_wTd_nos_base_CISM_NCA_SU_RCP45,SL_wTd_nos_base_FETI_VUB_SU_RCP45,SL_wTd_nos_base_GRIS_LSC_SU_RCP45,SL_wTd_nos_base_IMAU_VUB_SU_RCP45,SL_wTd_nos_base_ISSM_JPL_SU_RCP45,SL_wTd_nos_base_ISSM_UCI_SU_RCP45,SL_wTd_nos_base_MALI_LAN_SU_RCP45,SL_wTd_nos_base_PISM_AWI_SU_RCP45,SL_wTd_nos_base_PISM_DMI_SU_RCP45,SL_wTd_nos_base_PISM_PIK_SU_RCP45,SL_wTd_nos_base_PISM_VUW_SU_RCP45,SL_wTd_nos_base_PS3D_PSU_SU_RCP45,SL_wTd_nos_base_SICO_UHO_SU_RCP45,SL_wTd_nos_base_UA_UNN_SU_RCP45])\n",
"\n",
"SL_wTd_nos_base_R1_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_R1_RCP45,SL_wTd_nos_base_BISI_LBL_R1_RCP45,SL_wTd_nos_base_CISM_NCA_R1_RCP45,SL_wTd_nos_base_FETI_VUB_R1_RCP45,SL_wTd_nos_base_GRIS_LSC_R1_RCP45,SL_wTd_nos_base_IMAU_VUB_R1_RCP45,SL_wTd_nos_base_ISSM_JPL_R1_RCP45,SL_wTd_nos_base_ISSM_UCI_R1_RCP45,SL_wTd_nos_base_MALI_LAN_R1_RCP45,SL_wTd_nos_base_PISM_AWI_R1_RCP45,SL_wTd_nos_base_PISM_DMI_R1_RCP45,SL_wTd_nos_base_PISM_PIK_R1_RCP45,SL_wTd_nos_base_PISM_VUW_R1_RCP45,SL_wTd_nos_base_PS3D_PSU_R1_RCP45,SL_wTd_nos_base_SICO_UHO_R1_RCP45,SL_wTd_nos_base_UA_UNN_R1_RCP45])\n",
"\n",
"SL_wTd_nos_base_R2_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_R2_RCP45,SL_wTd_nos_base_BISI_LBL_R2_RCP45,SL_wTd_nos_base_CISM_NCA_R2_RCP45,SL_wTd_nos_base_FETI_VUB_R2_RCP45,SL_wTd_nos_base_GRIS_LSC_R2_RCP45,SL_wTd_nos_base_IMAU_VUB_R2_RCP45,SL_wTd_nos_base_ISSM_JPL_R2_RCP45,SL_wTd_nos_base_ISSM_UCI_R2_RCP45,SL_wTd_nos_base_MALI_LAN_R2_RCP45,SL_wTd_nos_base_PISM_AWI_R2_RCP45,SL_wTd_nos_base_PISM_DMI_R2_RCP45,SL_wTd_nos_base_PISM_PIK_R2_RCP45,SL_wTd_nos_base_PISM_VUW_R2_RCP45,SL_wTd_nos_base_PS3D_PSU_R2_RCP45,SL_wTd_nos_base_SICO_UHO_R2_RCP45,SL_wTd_nos_base_UA_UNN_R2_RCP45])\n",
"\n",
"SL_wTd_nos_base_R3_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_R3_RCP45,SL_wTd_nos_base_BISI_LBL_R3_RCP45,SL_wTd_nos_base_CISM_NCA_R3_RCP45,SL_wTd_nos_base_FETI_VUB_R3_RCP45,SL_wTd_nos_base_GRIS_LSC_R3_RCP45,SL_wTd_nos_base_IMAU_VUB_R3_RCP45,SL_wTd_nos_base_ISSM_JPL_R3_RCP45,SL_wTd_nos_base_ISSM_UCI_R3_RCP45,SL_wTd_nos_base_MALI_LAN_R3_RCP45,SL_wTd_nos_base_PISM_AWI_R3_RCP45,SL_wTd_nos_base_PISM_DMI_R3_RCP45,SL_wTd_nos_base_PISM_PIK_R3_RCP45,SL_wTd_nos_base_PISM_VUW_R3_RCP45,SL_wTd_nos_base_PS3D_PSU_R3_RCP45,SL_wTd_nos_base_SICO_UHO_R3_RCP45,SL_wTd_nos_base_UA_UNN_R3_RCP45])\n",
"\n",
"SL_wTd_nos_base_R4_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_R4_RCP45,SL_wTd_nos_base_BISI_LBL_R4_RCP45,SL_wTd_nos_base_CISM_NCA_R4_RCP45,SL_wTd_nos_base_FETI_VUB_R4_RCP45,SL_wTd_nos_base_GRIS_LSC_R4_RCP45,SL_wTd_nos_base_IMAU_VUB_R4_RCP45,SL_wTd_nos_base_ISSM_JPL_R4_RCP45,SL_wTd_nos_base_ISSM_UCI_R4_RCP45,SL_wTd_nos_base_MALI_LAN_R4_RCP45,SL_wTd_nos_base_PISM_AWI_R4_RCP45,SL_wTd_nos_base_PISM_DMI_R4_RCP45,SL_wTd_nos_base_PISM_PIK_R4_RCP45,SL_wTd_nos_base_PISM_VUW_R4_RCP45,SL_wTd_nos_base_PS3D_PSU_R4_RCP45,SL_wTd_nos_base_SICO_UHO_R4_RCP45,SL_wTd_nos_base_UA_UNN_R4_RCP45])\n",
"\n",
"SL_wTd_nos_base_R5_RCP45 =np.vstack([SL_wTd_nos_base_AISM_VUB_R5_RCP45,SL_wTd_nos_base_BISI_LBL_R5_RCP45,SL_wTd_nos_base_CISM_NCA_R5_RCP45,SL_wTd_nos_base_FETI_VUB_R5_RCP45,SL_wTd_nos_base_GRIS_LSC_R5_RCP45,SL_wTd_nos_base_IMAU_VUB_R5_RCP45,SL_wTd_nos_base_ISSM_JPL_R5_RCP45,SL_wTd_nos_base_ISSM_UCI_R5_RCP45,SL_wTd_nos_base_MALI_LAN_R5_RCP45,SL_wTd_nos_base_PISM_AWI_R5_RCP45,SL_wTd_nos_base_PISM_DMI_R5_RCP45,SL_wTd_nos_base_PISM_PIK_R5_RCP45,SL_wTd_nos_base_PISM_VUW_R5_RCP45,SL_wTd_nos_base_PS3D_PSU_R5_RCP45,SL_wTd_nos_base_SICO_UHO_R5_RCP45,SL_wTd_nos_base_UA_UNN_R5_RCP45])\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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],
"source": [
"# compute cumulative probability distributions\n",
"cdfnum = 1000\n",
"cdfstep = int(len(SL_wTd_nos_base_RCP45[:,0])/cdfnum)\n",
"print(cdfstep)\n",
"\n",
"SL_wTd_nos_base_R0_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_RCP45[1,:])):\n",
" print(\"R0: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R0_RCP45_cdf=np.vstack([SL_wTd_nos_base_R0_RCP45_cdf, slcdf])\n",
"\n",
"\n",
"SL_wTd_nos_base_R1_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_R1_RCP45[1,:])):\n",
" print(\"R1: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_R1_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_R1_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R1_RCP45_cdf=np.vstack([SL_wTd_nos_base_R1_RCP45_cdf, slcdf])\n",
"\n",
"SL_wTd_nos_base_R2_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_R2_RCP45[1,:])):\n",
" print(\"R2: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_R2_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_R2_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R2_RCP45_cdf=np.vstack([SL_wTd_nos_base_R2_RCP45_cdf, slcdf])\n",
"\n",
"SL_wTd_nos_base_R3_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_R3_RCP45[1,:])):\n",
" print(\"R3: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_R3_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_R3_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R3_RCP45_cdf=np.vstack([SL_wTd_nos_base_R3_RCP45_cdf, slcdf])\n",
"\n",
"SL_wTd_nos_base_R4_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_R4_RCP45[1,:])):\n",
" print(\"R4: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_R4_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_R4_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R4_RCP45_cdf=np.vstack([SL_wTd_nos_base_R4_RCP45_cdf, slcdf])\n",
"\n",
"SL_wTd_nos_base_R5_RCP45_cdf = [0] * (cdfnum+1)\n",
"for t in range(len(SL_wTd_nos_base_R5_RCP45[1,:])):\n",
" print(\"R5: \",t)\n",
" sortind = np.argsort(SL_wTd_nos_base_R5_RCP45[:,t])\n",
"\n",
" slcdf = []\n",
" slcdf.append(0)\n",
" for i in range(1,cdfnum+1):\n",
" cdfval = float(i/cdfnum)\n",
" slval = SL_wTd_nos_base_R5_RCP45[sortind[i*cdfstep],t]\n",
" slcdf.append(slval)\n",
" SL_wTd_nos_base_R5_RCP45_cdf=np.vstack([SL_wTd_nos_base_R5_RCP45_cdf, slcdf])\n",
"\n",
"\n",
"Percentile = np.arange(0,float((cdfnum+1)/cdfnum),float(1/cdfnum))\n",
"\n",
"# write cdfs\n",
"ncfile = nc.Dataset('Cdfs/SL_wTd_nos_base_RCP45_cdf.nc','w', format='NETCDF4')\n",
"ncfile.createDimension('Time', None)\n",
"ncfile.createDimension('Percentile', None)\n",
"\n",
"SL_wTd_weighted_base_R0 = ncfile.createVariable('Antarctica', 'f4', ('Time','Percentile'))\n",
"SL_wTd_weighted_base_R1 = ncfile.createVariable('EAIS', 'f4', ('Time','Percentile'))\n",
"SL_wTd_weighted_base_R2 = ncfile.createVariable('Ross', 'f4', ('Time','Percentile'))\n",
"SL_wTd_weighted_base_R3 = ncfile.createVariable('Amundsen', 'f4', ('Time','Percentile'))\n",
"SL_wTd_weighted_base_R4 = ncfile.createVariable('Weddell', 'f4', ('Time','Percentile'))\n",
"SL_wTd_weighted_base_R5 = ncfile.createVariable('Peninsula', 'f4', ('Time','Percentile'))\n",
"p = ncfile.createVariable('Percentile', 'f4', 'Percentile')\n",
"t = ncfile.createVariable('Time', 'f4', 'Time')\n",
"\n",
"t[:] = Time\n",
"t.units = 'years'\n",
"SL_wTd_weighted_base_R0[:,:] = SL_wTd_nos_base_R0_RCP45_cdf\n",
"SL_wTd_weighted_base_R1[:,:] = SL_wTd_nos_base_R1_RCP45_cdf\n",
"SL_wTd_weighted_base_R2[:,:] = SL_wTd_nos_base_R2_RCP45_cdf\n",
"SL_wTd_weighted_base_R3[:,:] = SL_wTd_nos_base_R3_RCP45_cdf\n",
"SL_wTd_weighted_base_R4[:,:] = SL_wTd_nos_base_R4_RCP45_cdf\n",
"SL_wTd_weighted_base_R5[:,:] = SL_wTd_nos_base_R5_RCP45_cdf\n",
"p[:] = Percentile\n",
"\n",
"SL_wTd_weighted_base_R0.units = 'meter'\n",
"SL_wTd_weighted_base_R1.units = 'meter'\n",
"SL_wTd_weighted_base_R2.units = 'meter'\n",
"SL_wTd_weighted_base_R3.units = 'meter'\n",
"SL_wTd_weighted_base_R4.units = 'meter'\n",
"SL_wTd_weighted_base_R5.units = 'meter'\n",
"\n",
"p.units = 'percent'\n",
"\n",
"ncfile.close()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"200\n",
"200\n"
]
},
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1d80228bda0>]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"print(len(Time))\n",
"print(len(SL_wTd_nos_base_R0_RCP45_cdf[0:-1,500]))\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,10])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,50])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,166])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,500])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,833])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,950])\n",
"plt.plot(Time,SL_wTd_nos_base_R0_RCP45_cdf[0:-1,990])\n"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.29786622524261475\n",
"0.4696774184703827\n",
"0.8328699469566345\n"
]
}
],
"source": [
"print(SL_wTd_nos_base_R0_RCP45_cdf[-1,833])\n",
"print(SL_wTd_nos_base_R0_RCP45_cdf[-1,950])\n",
"print(SL_wTd_nos_base_R0_RCP45_cdf[-1,990])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}