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settings.py
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57 lines (45 loc) · 1.97 KB
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# This file is part of SEALEVEL - a tool to estimates future sea-level rise
# constrained by past obervations and long-term sea-level commitment
# Copyright (C) 2016 Matthias Mengel working at PIK Potsdam
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# LICENSE.txt for more details.
import os
import numpy as np
calibfolder = "data/calibration"
# The emulator of Deconto & Pollard ice sheet contribution is not
# calibrated here. See github.com/matthiasmengel/fast_ant_sid for
# the calibration of ant_dp16.
calibrate_these = [
"thermexp",
"gic",
"gis_smb",
"gis_sid",
# "ant_smb",
# "ant_sid",
]
projected_slr_folder = "data/projection"
scenarios = ["rcp26", "rcp45", "rcp85"]
contrib_ids = ["thermexp", "gic", "gis_smb", "gis_sid", "ant_smb", "ant_sid"]
# PNAS 2016 like Antarctic ice sheet contributon
project_these = ["thermexp", "gic", "gis_smb", "gis_sid", "ant_smb",
"ant_sid"]
# Nature Communications 2018 like Antarctic ice sheet contributon
project_these = ["thermexp", "gic", "gis_smb", "gis_sid", "ant_dp16"]
proj_period = np.arange(1900, 2101, 1)
# the number of monte carlo samples, 10000 used in PNAS paper
nrealizations = 100
# only possible if you have an ensemble of global mean temperature
# projections
probablistic_climate = False
# No edits below this line needed.
# Convert relative to absolute paths, to make them accessible
# across the operating system
project_root = os.path.dirname(os.path.abspath(__file__))
calibfolder = os.path.join(project_root, calibfolder)
projected_slr_folder = os.path.join(project_root, projected_slr_folder)