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Merge branch 'develop' into main
# Conflicts: # climada/_version.py
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.gitignore

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@@ -126,9 +126,6 @@ venv.bak/
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# mac finder files
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.DS_Store
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# directory with input data for hazard emulator tutorial
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data/emulator
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# climada system data files
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# they get downloaded separately from the repo
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data/system/global_coast*

climada.conf

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"test_data": "{test_directory}/entity/disc_rates/test/data"
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},
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"engine": {
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"test_data": "{test_directory}/engine/test/data",
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"supplychain": {
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"local_data": {
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"wiod": "{engine.test_data}"
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}
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}
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"test_data": "{test_directory}/engine/test/data"
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},
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"exposures": {
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"test_data": "{test_directory}/entity/exposures/test/data"

climada/__init__.py

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ENT_DEMO_FUTURE,
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EXP_DEMO_H5,
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HAZ_DEMO_FL,
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HAZ_DEMO_FLDDPH,
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HAZ_DEMO_FLDFRC,
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HAZ_DEMO_MAT,
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HAZ_DEMO_H5,
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TC_ANDREW_FL,
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DEMO_GDP2ASSET,
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DEMO_DIR.joinpath('demo_emdat_impact_data_2020.csv'),
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DEMO_DIR.joinpath('histsoc_landuse-15crops_annual_FR_DE_DEMO_2001_2005.nc'),
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DEMO_DIR.joinpath('hist_mean_mai-firr_1976-2005_DE_FR.hdf5'),
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DEMO_DIR.joinpath('WS_Europe.xls'),
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DEMO_DIR.joinpath('Portugal_firms_June_2017.csv'),
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DEMO_DIR.joinpath('Portugal_firms_2016_17_18_MODIS.csv'),
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DEMO_DIR.joinpath('SRTM15+V2.0_sample.tiff'),
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] + WS_DEMO_NC
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}
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climada/_version.py

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__version__ = '2.2.0'
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__version__ = '3.0.0-cand'

climada/conf/climada.conf

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"forecast": {
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"plot_dir": "{local_data.save_dir}/forecast/plots",
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"local_data": "{local_data.save_dir}/forecast"
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},
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"supplychain": {
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"resources": {
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"wiod16": "http://www.wiod.org/protected3/data16/wiot_ROW/"
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},
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"local_data": {
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"wiod": "{local_data.system}/WIOD"
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}
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},
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"uncertainty": {
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"local_data": {
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},
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"exposures": {
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"def_ref_year": 2018,
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"crop_production": {
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"local_data": "{local_data.system}/ISIMIP_crop"
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},
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"litpop": {
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"resources": {
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"world_bank_inc_group": "http://databank.worldbank.org/data/download/site-content/OGHIST.xls"
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"https://www.nasa.gov/specials/blackmarble/*/tiles/georeferrenced/",
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"https://eoimages.gsfc.nasa.gov/images/imagerecords/144000/144898/"]
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}
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},
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"spam_agrar": {
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"resources": {
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"spam2005_api_access": "https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/DHXBJX/",
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"spam2005_dataset": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DHXBJX"
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}
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}
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},
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"hazard": {
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"drought": {
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"resources": {
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"spei_file_url": "http://digital.csic.es/bitstream/10261/153475/8"
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}
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},
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"landslide": {
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"local_data": "."
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},
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"relative_cropyield": {
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"local_data": "{exposures.crop_production.local_data}",
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"filename_wheat_mask": "mask_winter_and_spring_wheat_areas_phase3.nc4"

climada/engine/__init__.py

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"""
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from .impact import *
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from .cost_benefit import *
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from .supplychain import *

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