Data

Tools

Indexes

Applications

Experiments

Open Source Science

Recent Releases of A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v6.0.1

What's Changed

  • hotfix: bug in boundingboxfromcountries by @ValentinGebhart in https://github.com/CLIMADA-project/climadapython/pull/1018
  • fix broken online documentation by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/1024

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v6.0.0...v6.0.1

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid 12 months ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v6.0.0

What's Changed

  • Add flood module paper to citation guide by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/923
  • plot NaNs in gray color and use log color bar by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/929
  • New interpolation util functionality by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/930
  • Remove attribute-style accesses to (Geo)DataFrames columns and xarray Datasets variables and attributes within tutorials by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/941
  • Remove attribute-style accesses to (Geo)DataFrames columns and xarray Datasets variables and attributes by @luseverin in https://github.com/CLIMADA-project/climada_python/pull/939
  • Warn about and discourage the use of pickle to save objects by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/942
  • default installation with python 3.11 by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/945
  • Bug fix in Hazard.getmdr and impact calculation in case of a single exposure point and MDR values of 0 by @bguillod in https://github.com/CLIMADA-project/climadapython/pull/948
  • Load IBTrACs file from archive in case by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/956
  • CI/GitHub Actions: set job timeout 20 minutes by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/958
  • Use context manager for xarray dataset file opening by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/953
  • New implementation of Knutson scaling incl. fix to negative freqs and double counting by @aleeciu in https://github.com/CLIMADA-project/climada_python/pull/734
  • Add pre-commit to dependencies with appropriate config by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/892
  • develop-black by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/962
  • Develop black by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/963
  • format exceptions by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/964
  • exposures-init-geometry by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/890
  • Combining several interpolation functions using a new util function by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/918
  • black-workflow by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/968
  • Restructuring of the documentation by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/972
  • Add localreturnperiod method to Impact objects and new tutorial by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/971
  • Update IBTrACS to version 4.1 by @ChrisFairless in https://github.com/CLIMADA-project/climada_python/pull/976
  • exposures: appropriate error message in latitude/longitude properties by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/982
  • added getbounds functions for EPSG 4326 by @ValentinGebhart in https://github.com/CLIMADA-project/climadapython/pull/980
  • remove pyepsg from requirements by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/955
  • optimize concatenation of centroids by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/989
  • Add osm-flex to CLIMADA core by @luseverin in https://github.com/CLIMADA-project/climada_python/pull/981
  • eccodes dependency update by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/947
  • Update Euler Guide by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/986
  • Feature/from netcdf fast by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/993
  • change short description in README.md by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/1014
  • Shift cyclostrophic argument to modelkwargs in fromtracks by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/936
  • Checks in readers/writers to enforce correct types for event_name and event_id container and elements by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/951
  • pydoc: fix bullet points and indentation by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/1016
  • Fix Author List on Zenodo by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/1011

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v5.0.0...v6.0.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid 12 months ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v5.0.0

What's Changed

  • Bugfix lonbounds returning range > 360 degrees by @ChrisFairless in https://github.com/CLIMADA-project/climadapython/pull/859
  • Improve impact calc error messages when there is a mismatch of impf ids between exposures and impfset by @luseverin in https://github.com/CLIMADA-project/climada_python/pull/863
  • Adding issue templates to Github by @spjuhel in https://github.com/CLIMADA-project/climada_python/pull/867
  • Feature/centroids as gdf by @chahank in https://github.com/CLIMADA-project/climada_python/pull/787
  • util.coordinates: remove broken disttocoast function by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/840
  • Catch case where new Hazard fraction is unintentionally zero by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/869
  • Let readthedocs build the documentation environment based on envclimada.yml by @peanutfun in https://github.com/CLIMADA-project/climadapython/pull/687
  • Remove content tables and update tutorial files by @luseverin in https://github.com/CLIMADA-project/climada_python/pull/872
  • Refine Risk Assessment Terms: Vulnerability and Impact Functions (Update GuideIntroduction.ipynb) by @DahyannAraya in https://github.com/CLIMADA-project/climadapython/pull/802
  • Add polynomial s shape impact function by @chahank in https://github.com/CLIMADA-project/climada_python/pull/878
  • split hazard module by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/871
  • euler user guide update by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/880
  • Make GitHub CI execute unit tests in Petals via reusable workflow by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/855
  • Update unsequa to fully support the latest version of SALib by @luseverin in https://github.com/CLIMADA-project/climada_python/pull/886
  • Create an empty centroids in Hazard.concat() with CRS from the first hazlist. by @manniepmkam in https://github.com/CLIMADA-project/climadapython/pull/881
  • Fix links in pull request template by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/901
  • WIP: Introduce a second version of the Holland 2010 model by @ThomasRoosli in https://github.com/CLIMADA-project/climada_python/pull/846
  • Allow downgrading of Python and update links in contribution guide by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/900
  • Explicitly convert event_name to strings in Impact.from_hdf5 by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/894
  • Use geopandas.plot() for Centroids.plot() by @sarah-hlsn in https://github.com/CLIMADA-project/climada_python/pull/896
  • setgeometry by @emanuel-schmid in https://github.com/CLIMADA-project/climadapython/pull/889
  • Split tropicalcyclone module by @ThomasRoosli in https://github.com/CLIMADA-project/climadapython/pull/911
  • Add module for calibrating impact functions by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/692
  • Add functions to compute, plot, store the local hazard exceedence intensity and RP maps (new branch) by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/898
  • Ensure csr matrices are in "canonical format" before impact calculation by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/893
  • Feature/set geometry bis by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/912
  • fix read the docs by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/922
  • Compiled hazard tutorial (some plots were missing) by @ValentinGebhart in https://github.com/CLIMADA-project/climada_python/pull/919

New Contributors

  • @luseverin made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/863
  • @spjuhel made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/867
  • @DahyannAraya made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/802
  • @ValentinGebhart made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/898

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v4.1.1...v5.0.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 1 year ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v4.1.1

What's Changed

  • tropcyclone: fix for tracks crossing antimeridian by @tovogt in https://github.com/CLIMADA-project/climadapython/pull/839
  • update to xarray 2024.2 by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/851

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v4.1.0...v4.1.1

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid about 2 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v4.1.0

What's Changed

  • Remove python version pin from conda specs by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/786
  • Fix distapprox with "geosphere" method and close points by @tovogt in https://github.com/CLIMADA-project/climadapython/pull/792
  • Goodbye Stamen by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/798
  • Encourage contributions in README and CONTRIBUTING by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/797
  • Fix exponent clipping in Holland 2010 implementation by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/793
  • Add shapes argument to geoimfromarray() in climada.util.plot by @yklpaul0902 in https://github.com/CLIMADA-project/climadapython/pull/805
  • Change default Hazard.eventname to string of eventid by @sarah-hlsn in https://github.com/CLIMADA-project/climada_python/pull/795
  • Recommend using Mamba to install CLIMADA by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/809
  • Fix Miniforge link in install guide by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/812
  • update euler guide by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/794
  • fix yearsets.samplefrompoisson by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/823
  • DiscRates csv support by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/818
  • Fix the exception tests for the latest version of xarray by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/827
  • Feature/tc holland vtrans by @ThomasRoosli in https://github.com/CLIMADA-project/climada_python/pull/833
  • Allow reading Hazard events that are not dates from xarray by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/837
  • api-client getdatasetfile by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/821
  • adapt to changed worldbank data by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/841
  • consequently use gettestfile by @emanuel-schmid in https://github.com/CLIMADA-project/climadapython/pull/822
  • Improved readability of the developer guide by @sarah-hlsn in https://github.com/CLIMADA-project/climada_python/pull/808
  • Update environment specs by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/845
  • add impact.select resetfrequency option by @timschmi95 in https://github.com/CLIMADA-project/climadapython/pull/847
  • Integration of CalcDeltaImpact class of unsequa into develop by @simonameiler in https://github.com/CLIMADA-project/climada_python/pull/844
  • Avoid redundant calls to np.unique in Impact.impact_at_reg by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/848
  • Update GitHub CI action versions by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/849

New Contributors

  • @yklpaul0902 made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/805
  • @sarah-hlsn made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/795

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v4.0.1...v4.1.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid about 2 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v4.0.1

What's Changed

  • Doc/update readme by @chahank in https://github.com/CLIMADA-project/climada_python/pull/778
  • move package data by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/781
  • Fix empty data frame concatenation in emdatimpactyearlysum by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/783
  • Use GitHub actions for unit testing by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/745
  • Antimeridian issue in get_country_code by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/785

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v4.0.0...v4.0.1

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 2 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v4.0.0

What's Changed

  • add atregidevent by @aleeciu in https://github.com/CLIMADA-project/climadapython/pull/642
  • Don't re-project projected polygon gdfs in metre-disaggregation by @Evelyn-M in https://github.com/CLIMADA-project/climada_python/pull/666
  • Accurate error message for missing configuration by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/670
  • Data API data model extension by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/624
  • Add setup instructions for VSCode to installatio instructions by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/677
  • added assigncentroids for impact objects by @timschmi95 in https://github.com/CLIMADA-project/climadapython/pull/602
  • Improve lines disaggregation method by @chahank in https://github.com/CLIMADA-project/climada_python/pull/679
  • Change test data impf.id to test non-default params by @chahank in https://github.com/CLIMADA-project/climada_python/pull/676
  • Add one test with different impact function by @chahank in https://github.com/CLIMADA-project/climada_python/pull/681
  • Add section to GuideCLIMADATutorial.ipynb by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/668
  • Feature/haz type in step impf by @chahank in https://github.com/CLIMADA-project/climada_python/pull/675
  • Update Readthedocs installation / unittest instructions by @Evelyn-M in https://github.com/CLIMADA-project/climada_python/pull/689
  • dependency upgrades by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/682
  • Improve impact calc error messages by @leonie-villiger in https://github.com/CLIMADA-project/climada_python/pull/691
  • fix test.testexposuresvaluepass by @NicolasColombi in https://github.com/CLIMADA-project/climadapython/pull/697
  • Bugfix: yearsets frequency curve calculations fail by @ChrisFairless in https://github.com/CLIMADA-project/climada_python/pull/703
  • Update EMDAT VARNAMES for version 2023 by @simonameiler in https://github.com/CLIMADA-project/climada_python/pull/701
  • Feature/coverage nightlight by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/659
  • Feature/fix nightlight test by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/716
  • Allow for numpy arrays in hazard select by @chahank in https://github.com/CLIMADA-project/climada_python/pull/719
  • Feature/move tests to integration by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/709
  • Add developer requirements to setup.py by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/712
  • Deprecate superfluous classmethods of Centroids by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/721
  • Suggest installing CLIMADA via conda in installation instructions by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/714
  • Feature/change impact total value by @chahank in https://github.com/CLIMADA-project/climada_python/pull/702
  • Feature/fix nightlight test by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/718
  • Avoid Impact storing a pyproj.CRS object by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/713
  • Docs: Remove envdeveloper.yml from install guide by @tovogt in https://github.com/CLIMADA-project/climadapython/pull/727
  • Improve performance of LitPop by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/720
  • Reassign centroids by default by @chahank in https://github.com/CLIMADA-project/climada_python/pull/730
  • TCTracks: Option to read additional variables from IBTrACS (e.g. "nature"/stormtype) by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/728
  • upgradeshapely2.0fix by @emanuel-schmid in https://github.com/CLIMADA-project/climadapython/pull/731
  • logging best practice by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/724
  • Feature/move unittest by @NicolasColombi in https://github.com/CLIMADA-project/climada_python/pull/732
  • cleaning up data api file cache by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/737
  • Use Pytest for running tests by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/726
  • Tag-Refactoring by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/736
  • Small text updates in the git development guide. by @chahank in https://github.com/CLIMADA-project/climada_python/pull/738
  • TCTracks: improve hdf5 I/O by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/735
  • TCTracks.fromsimulationsemanuel: optionally, only load a subset by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/741
  • Set savemat=False by @chahank in https://github.com/CLIMADA-project/climadapython/pull/746
  • Remove all uses of Tag from climada/engine by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/743
  • Remove Tag attribute from DiscRates by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/755
  • Remove Tag attribute from ImpactFuncSet by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/753
  • Remove Tag attribute from MeasureSet by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/754
  • apiclient: allow searching for None by @emanuel-schmid in https://github.com/CLIMADA-project/climadapython/pull/752
  • Refactor TropCyclone for external use in other modules by @tovogt in https://github.com/CLIMADA-project/climada_python/pull/749
  • calculated chunksizes greater than zero by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/762
  • Fix bug in centroids natural earth feature test by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/768
  • fix hardcoded text elements in the plots of the forecast class by @ThomasRoosli in https://github.com/CLIMADA-project/climada_python/pull/769
  • Make Impact.impact_at_reg support all zero impacts by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/773
  • Feature/unsequa multiprocessing by @chahank in https://github.com/CLIMADA-project/climada_python/pull/763
  • Update installation instructions by @peanutfun in https://github.com/CLIMADA-project/climada_python/pull/776
  • Remove pandas append to concat by @chahank in https://github.com/CLIMADA-project/climada_python/pull/777
  • Remove Tag from Hazard by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/767
  • Remove Tag from Exposures by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/756
  • Tag Removal Modules Structure Rearranged by @emanuel-schmid in https://github.com/CLIMADA-project/climada_python/pull/779

New Contributors

  • @leonie-villiger made their first contribution in https://github.com/CLIMADA-project/climada_python/pull/691

Full Changelog: https://github.com/CLIMADA-project/climada_python/compare/v3.3.3...v4.0.0

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 2 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

Release for climada registration in conda-forge

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 3 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

Description

Patch-relaese with altered base config file so that the basic installation test passes.

Changed

  • The base config file climada/conf/climada.conf has an entry for CONFIG.hazard.test_data.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 3 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

Dependency Changes

new:

  • sparse (>=0.13) for #578

updated:

  • python 3.9 - python 3.8 will still work, but python 3.9 is now the default version for installing climada (#614)
  • contextily >=1.0 (no longer restricted to <1.2 as contextily.sources has been replaced in #517)
  • cartopy >=0.20.0,<0.20.3 (>=0.20.3 has an issue with geographic crs in plots)
  • matplotlib >=3.2,<3.6 (3.6 depends on cartopy 0.21)

Added

  • climada.hazard.Hazard.from_xarray_raster(_file) class methods for reading Hazard objects from an xarray.Dataset, or from a file that can be read by xarray. #507, #589, #652.
  • climada.engine.impact.Impact objects have new methods from_hdf5 and write_hdf5 for reading their data from, and writing it to, H5 files #606
  • climada.engine.impact.Impact objects has a new class method concat for concatenation of impacts based on the same exposures #529.
  • climada.engine.impact_calc: this module was separated from climada.engine.impact and contains the code that dealing with impact calculation while the latter focuses on impact data #560.
  • The classes Hazard, Impact and ImpactFreqCurve have a novel attribute frequency_unit. Before it was implicitly set to annual, now it can be specified and accordingly displayed in plots. #532.
  • CONTRIBUTING.md #518.
  • Changelog based on the CLIMADA release overview and https://keepachangelog.com template #626.

Changed

  • The Impact calculation underwent a major refactoring. Now the suggested way to run an impact calculation is by climada.engine.impact_calc.ImpactCalc.impact(). #436, #527.
  • Addition of uncertainty helper methods variables: list of hazard, list of impact function sets, and hazard fraction. This allows to pre-compute hazards or impact function sets from different sources from which one can then sample uniformly. #513
  • Full initialization of most Climada objects is now possible (and suggested!) in one step, by simply calling the constructor with all arguments required for coherently filling the object with data: #560, #553, #550, #564, #563, #565, #573, #569, #570, #574, #559, #571, #549, #567, #568, #562.
  • It is possible now to set the fraction of a Hazard object to None which will have the same effect as if it were 1 everywhere. This saves a lot of memory and calculation time, #541.
  • The online documentation has been completely overhauled: #597, #600, #609, #620, #615, #617, #622, #656.
  • Updated installation instructions #644

Fixed

  • several antimeridian issues: #524, #551, #613.
  • bug in climada.hazard.Centroids.set_on_land() when coordinates go around the globe: #542, #543.
  • bug in climada.util.coordinates.get_country_code() when all coordinates are on sea.
  • suppress pointless warnings in plotting functions, #520.
  • test coverage improved: #583, #594, #608, #616, #637.
  • deprecated features removed: #517, #535,#566,

Deprecated

  • climada.enginge.impact.Impact.calc() and climada.enginge.impact.Impact.calc_impact_yearset(), #436.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid about 3 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v3.2.0

changed environment: - scikit-learn >=1.0 >=0.23 - rasterio >=1.2.7,<1.3 >=1.2.7

new features: - Warning class added. Allows creating warning maps from generic 2d-maps, or form Hazard or Impact objects. - Set of lines and polygons util functions. Exposures with lines and/or polygons can be disaggregated to points, which can be used to compute impacts that can be reaggregated afterward.

updated features: - Offline mode for API client enabled. Results from the CLIMADA data api can be cached and re-used later without internet connection.

minor changes: - Most tutorials and guides have been overhauled and consolidated. - Updated API wrapper functions: get clearer error messages when data doesn't exist and added method to get the standard centroids to create new hazards. - If more than one dataset with equal data-type and name meet the requirements, the API client only fetches the newest version, unless version='any' is specified.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 3 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

minor changes:

  • The setup.py and MANIFEST.in files were adapted to include the climada.engine.unsequa module in the package build.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v3.1.1

minor changes: * update hyperlinks in README.md * download test files from CLIMADA Data Api (enabling installation tests for PyPi installation) * climada.util.plot.get_transformation: more tolerant CRS handling

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid about 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v3.1.0

updated features: * new function get_admin1_geometries: return GeoDataFrame with geometries of admin 1 regions within given countries. * 'set' method deprecated. New methods 'from'. * '+init CRS specs' deprecated. * data-api client refactored: * method names changed, list_data_type_infos returns only data types with active datasets (data types with only test data are hidden) * concatenation of CLIMADA objects was removed from get_hazard and get_exposures * util.interpolate * refactoring: the module util.interpolate was removed and the methods therein were refactored and integrated in util.coordinates. * a new method _nearest_neighbor_euclidean was added to find nearest neighbors with a k-d tree using Euclidean metric. * the default distance for exposure.assign_centroids was changed to euclidean. This is faster than haversine for (quasi-)gridded data but less accurate. * TCTracks.from_ibtracs_netcdf: now stores selected agency for each track variable * Uncertainty Quantification * renaming module from uncertainty_quantification to unsequa * updating of all plotting methods * addition of helper methods for the most common uncertainty input parameters for exposures, hazard, impact functions, entities, measures. * hazard.select works with extent. * addition of hazard.select_tight to reduce a hazard to a box around an exposure. * adaptations to Natural Earth (v5.0.0) from 2021-12-08. The file format has changed and posed a problem to the shapefile.Reader, which consequently was replaced by shapereader.Reader.\ Note: This may lead to a KeyError 'GDP_MD' in various places, e.g. climada.util.finance.nat_earth_adm0. To come over it, remove the cached Natural Earth files in ~/.local/share/cartopy/shapefiles/natural_earth/.

changed environment: * cartopy >= 0.20 (0.18 - 0.19) * cfgrib 0.9.7 - 0.9.9 (>= 0.9.7) * contextily 1.0 - 1.1 (1.0) * numba != 0.55.0 * rasterio >= 1.2.7 (1.1 - 1.2.6)

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid about 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v3.0.1

Hotfix for possibly biased results from the api_client.Client.get_hazard method. Limit hazard concatenation to a single dataset by default

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v3.0.0

This is the first release of the core package after CLIMADA sources have been devided into climadapython (core) and climadapetals (extensions).

changed environment: * cartopy>=0.18,<0.20.0 (>=0.18) \ 0.20 and higher are not accepted yet, because of their changes in the CRS objects. * rasterio>=1.1,<1.2.7 (>=1.1) \ 1.2.7 an higher are not accepted yet, also because of their changes in the CRS objects.

updated features: * uncertainty_quantification: a complete rewriting of the module and its API. Now it can do uncertainty and sensitivity analysis for impact and cost benefit. All the data is stored in a data class with pandas dataframes attributes. Several plotting methods have been added. Saving and loading from hdf5 files has been added. * impacts_funcs: added two easily modifiable generic impact functions (a step and a sigmoid function) which can be used for a broad range of hazards and resolutions. * api_client: added convenience methods for creating CLIMADA objects from files accessible through the api, get_hazard, get_exposures and get_litpop, \ and for collecting dataset information into data frames: into_datasets_df, into_files_df.

minor changes: * litpop: fix of faulty shape handling for admin1 shapes with a hole (e.g. Brandenburg) * litpop: remove parameter reproject_first (and functionality for reproject_first=False in _get_litpop_single_polygon) * litpop: minor improvements in readability and code efficiency, incl. better documentation * litpop: method LitPop().set_nightlights is renamed to LitPop().set_nightlight_intensity. * config: the setup_logging function was removed from the module, to change the logging level programmatically config.LOGGER.setLevel can be used.

removed modules: The following modules have been moved to CLIMADA-project/climadapetals: * climada,engine.supplychain * `climada.entity.exposures.blackmarble *climada.entity.exposures.cropproduction *climada.entity.exposures.gdpasset *climada.entity.exposures.openstreetmap *climada.entity.exposures.spamagrar *climada.entity.impactfuncs.drought *climada.entity.impactfuncs.relativecropield *climada.entity.impactfuncs.riverflood *climada.hazard.drought *climada.hazard.emulator *climada.hazard.landslide *climada.hazard.lowflow *climada.hazard.relativecropyield *climada.hazard.riverflood *climada.hazard.tcrainfield *climada.hazard.tcsurgebathtub *climada.hazard.tctracksforecast *climada.hazard.wildfire`

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v2.2.0

changed environment: * pycountry (iso3166) * peewee (new) * deprecation (new) * geopandas >=0.8 (>=0.6,<0.9)

new features: * Select TC tracks from IBTrACS by genesis basin (TCTracks.read_ibtracs_netcdf). * Discard single-point TC tracks from IBTrACS (TCTracks.read_ibtracs_netcdf). * Initiate CropProduction exposures directly from netcdf files with yield and cultivated area data (CropProduction.set_from_area_and_yield_nc4, CropProduction.set_from_spam_ray_mirca (convenience wrapper)). * Init LitPop exposures for custom geographic shapes with methods LitPop.set_custom_shape and LitPop.set_custom_shape_from_countries * Init population or nightlight exposures with convenience wrappers LitPop.set_population and LitPop.set_nightlights * Universal country ISO code conversion function country_to_iso in climada.util.coordinates. * Reproject 2D np.ndarray to be aligned to a reference grid with align_raster_data in util.coordinates. * Mask array with given shapes with mask_raster_with_geometry in util.coordinates. * Tropical Cyclone random walk: Ability to use global,pre-calculated landfall decay parameters (use_global_decay_params=True in calc_perturbed_trajectories, set as default). * Add second-order sensitivity index plot. * Added methods hazard.concat (concatenate several hazard) and hazard.changecentroids (project the hazard onto new centroids). * Added method centroids.union (create the union of centroids). * Centroids is now initiated with a geometry attribute with a default CRS (climada.util.constants.DEFCRS) * Added module climada.util.api_client containing a basic wrapper around the data API on https://climada.ethz.ch

updated features: * Impact Function Naming Pattern Changed\ The naming pattern for impact functions is now impf_... and not if_... anymore. These changes affect large parts of the code, notebooks and data files.\ Although we tried hard to keep backward compatibility, some user scripts and data files may need to be adapted.\ When updating an existing CLIMADA installation, it's suggested to run the following commands in a shell/terminal: conda update -n climada_env –f requirements/env_climada.yml conda activate climada_env python -c 'import climada; climada.setup_climada_data(reload=True)' * litpop module: * Code of litpop module has been completely revised and performance of LitPop.set_* methods improved, * Parameter res_km no longer supported in LitPop.set_* methods, use res_arcsec instead with 1 km = ca. 30 arcsec * climada.entity.exposures.litpop.litpop (climada.entity.exposures.litpop), * climada.entity.exposures.litpop.nightlight (climada.entity.exposures.nightlight), * climada.entity.exposures.litpop.gpwpopulation (climada.entity.exposures.gpwimport). * Import calling sequences remain unchanged, e.g. from climada.entity import litpop. * yearsets module: * update of variable names * a sampling vector (2D array) replaced the sampling dictionary * the same event cannot occur more than once in the same year * the user can specify lam (the number of years around which the Poisson distribution is centered) * simplification of the function compute_imp_per_year (computeannualimpacts) * simplification of wrapper functions (split into two wrapper functions depending on whether a sampling_vect needs to be generated or is provided) * centroids module: * Method centroids.append changed behaviour: rasters are transformed to points before appending and raster information is lost.

minor changes: * Plots improved * Using pycountry package instead of iso3166 for across modules. * Improved performance for Impact.select and TropCyclone.set_from_tracks. * Fix TC rainfield computation for tracks that don't have 1-hour time steps. * Cutting off TC tracks moving outside of [-70,+70] degrees latitude in synthetic tracks. * Bug fixes to TC random walk (calc_perturbed_trajectories) related to landfall decay. * Improve plots in the uncertainty module. * geopandas version 0.6 was abandanoned. It is now required to be 0.8 or higher. Direct assignment of the crs attribute in a GeoDataFrame or Exposures object is not possible anymore. Instead set_crs must be used. * Exposures has a new method set_gdf that can be used to set the GeoDataFrame and update the crs at once.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 4 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v2.1.1

This release addresses several minor issues of the CLIMADA project while no actual source code has been changed: - path to climada config file fixed in setup.py - CLIMADA logo included - tutorials included in documentation - installation guide link fixed

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 5 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v2.1.0

v2.1.0

due date: 2021-04-01

description: Contains recently developed modules and module updates.

changed environment: * python == 3.8 (>=3.6) * openpyxl >= 3.0 (new) * pandas-datareader >= 0.9 (0.8) * pathos >= 0.2 (new * pyxlsb >= 1.0 (new) * pyepsg >= 0.4 (new) * SALib >= 1.3.0 (new)

new features * Landslide: new hazard * Stormeurope: new hazard including forecast functionality * isimipcrop: bug fix and code clean up: Restructuring of the method plotcomparingmaps in relativecropyield hazard as a function (solves issue #112). Minor changes to fix bugs and update of parameters in cropproduction.py: new conversion factors from tons to kcal KCALPERTON based on Mueller et al. (2021, https://doi.org/10.1088/1748-9326/abd8fc) * Forecast: a new class to calculate and plot forecasted impacts, e.g. based on weather forecasts. Can inform preventive action or warning decisions. * Uncertainty: module to conduct global uncertainty and sensitivity analysis on CLIMADA impact and cost-benefit outputs based on the SALib package. * SupplyChain: module to conduct Input-Output modeling.

minor changes * Utility: * Addition of Logger level context manager * New functions: geo_scatter_categorical, multibar_plot, value_to_monetary_unit, sig_dig, mapping_point2grid, mapping_grid2flattened * Improvedfunctions: latlon_bounds (performance), read_raster_bounds, points_to_raster (handling of antimeridian), * License harmonisation * Error message to warn for change in the way items are accessed in Exposures() class. * Developers Guide updated * Main tutorials updated * Add figsize argument to all plotting function * Tropical cyclone hazard: * Track input from IBTrACS: rescale wind speeds of different agencies to 1-minute sustained winds, better control over agency choice and handling of missing values * Track input from other sources: CHAZ (Lee et al. 2018), STORM (Bloemendaal et al. 2020) * Wind fields: improve overall performance, choose accuracy of distance metric for better performance or higher accuracy * Calibration of default parameters for synthetic tracks generation * Greatly improve performance of Exposures.assign_centroids function

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 5 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - v2.0-beta

With this release the increasing difficulties to set up a valid conda environment should be addressed. It is expected that this release has issues and hoped that they can be identified and addressed soon.

changed environment: - geopandas version up to 0.8 compatible - conda-forge is first choice channel now, because there were several issues with the default channel

major changes: - climada.entity.exposures.Exposures restructured, unshackled from GeoDataFrame inheritance, uses composition instead. - The GeoDataFrame data is now a property of the Exposures object: exposure.gdf. - The default crs, climada.util.constants.DEFCRS is now 'EPSG:4326'. It used to be {'init': 'EPSG:4326'}. - The changed default format is now correctly interpreted by the CRS.fromuser_input method of both packages, rasterio and pyproj. - The crs format {'init': '[source]:[id]'} is not generally accepted anymore. In certain cases the crs have to be redefined to be compatible with climada 2.x.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 5 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

changed environment

Many external dependencies had to be updated or added, among others:

  • numpy: 1.16 > 1.18
  • pandas: 0.24 > 1.0
  • gdal: 2.3 > 3.0
  • matplotlib: 3.1 > 3.2
  • rasterio: 1.0 > 1.1
  • xarray: 0.12 > 0.13
  • netcdf4: 1.4 >1.5

:warning: If you are upgrading from a previous version, updating the conda environment will likely fail. Please create a new conda environment instead. See the docs on installing CLIMADA.

new features:

  • module riverflood_
  • modules relativecropyield_ and croppotential_, classes RelativeCropyield (Hazard) and CropProduction (Exposure): assess climate impacts on agricultural crop yields (rice, maize, wheat, soy) based on global gridded crop model runs from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), e.g. ISIMIP2b, combined with crop statistics from FAOSTAT.
  • module lowflow_, class LowFlow (hazard): assess climate change impacts on surface water discharge (river low flow) based on hydrological model runs from ISIMIP.
  • module climada.engine.impactdata_: Functions to read reported impact data from The International Disaster Database EM-DAT and load into a CLIMADA Impact instance.
  • class climada.entity.impactfuncs.tropcyclone.IFSTropCyclone: regionally calibrated impact function set for TC wind (based on Eberenz et al., in review; c.f. climada_papers)

minor changes:

  • module tropcyclone_ :use statistical estimate as a fallback only if radius information is missing from the reported data
  • module util.constants :add NATEARTHCENTROIDS150AS and NATEARTHCENTROIDS360AS datasets
  • module util.coordinates : method getcountrycode has mapping of disputed areas to values above 900
  • module util.coordinates : new method get_isimip_gridpoints()
  • class hazard.tctracks.TCTracks_: new fields bounds and extent, new method subset
  • class hazard.centroids.Centroids: new method from_geodataframe(), new optional parameter extent in select()

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 5 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA -

changed environment

Many external dependencies had to be updated or added, among others:

  • numpy: 1.16 > 1.19
  • pandas: 0.24 > 1.0
  • gdal: 2.3 > 3.0
  • matplotlib: 3.1 > 3.2
  • rasterio: 1.0 > 1.1
  • xarray: 0.12 > 0.13
  • netcdf4: 1.4 >1.5

:warning: If you are upgrading from a previous version, updating the conda environment will likely fail. Please create a new conda environment instead. See the docs on installing CLIMADA.

new features:

  • module riverflood_
  • modules relativecropyield_ and croppotential_, classes RelativeCropyield (Hazard) and CropProduction (Exposure): assess climate impacts on agricultural crop yields (rice, maize, wheat, soy) based on global gridded crop model runs from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), e.g. ISIMIP2b, combined with crop statistics from FAOSTAT.
  • module lowflow_, class LowFlow (hazard): assess climate change impacts on surface water discharge (river low flow) based on hydrological model runs from ISIMIP.
  • module climada.engine.impactdata_: Functions to read reported impact data from The International Disaster Database EM-DAT and load into a CLIMADA Impact instance.
  • class climada.entity.impactfuncs.tropcyclone.IFSTropCyclone: regionally calibrated impact function set for TC wind (based on Eberenz et al., in review; c.f. climada_papers)

minor changes:

  • module tropcyclone_ :use statistical estimate as a fallback only if radius information is missing from the reported data
  • module util.constants :add NATEARTHCENTROIDS150AS and NATEARTHCENTROIDS360AS datasets
  • module util.coordinates : method getcountrycode has mapping of disputed areas to values above 900
  • module util.coordinates : new method get_isimip_gridpoints()
  • class hazard.tctracks.TCTracks_: new fields bounds and extent, new method subset
  • class hazard.centroids.Centroids: new method from_geodataframe(), new optional parameter extent in select()

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid over 5 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - lecture 2020

This version mainly fixes a bug in the readthedocs configuration which produced truncated source documentation. Apart from that there are only minor changes. - climada.plot.geoimfrom_array handles NAN in intensity data - the build status of the README page points to the now appropriate Jenkins pipeline.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - lecture 2020

  • storm_europe: new module Provides models to calculate economic damages of European winter windstorms/extratropical cyclones.
  • util.finance.gdp: new feature GDP data for the country TWN (Republic of China / Taiwan) is not provided by World Bank API usually called in climada.util.finance.gdp. As a workaround, a new feature is provided to call util.finance.gdp(’TWN’) returning GDP data from another data source (International Monetary Fund, IMF). The IMF data is not accessed via an API but from a static CSV-file available in the repository at data.system.GDPTWNIMFWEOdata.csv. The file contains current GDP data from 1980 to 2024 (GDP data are estimates/ projections after 2018). Data Source: https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/index.aspx More specifically: https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/weorept.aspx?sy=1980&ey=2024&scsm=1&ssd=1&sic=1&sort=country&ds=.&br=1&pr1.x=42&pr1.y=10&c=528&s=NGDPD%2CNGDP_D%2CNGDPDPC&grp=0&a=

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - lecture 2020

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by emanuel-schmid almost 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - correction for Windows

  • remove import elevation module not available for Windows

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar about 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - new tropical cyclone features

  • TCSurge for tropical cyclone surge approximation implemented.
  • Climate change impacts on wind intensity and frequency in tropcical cyclones implemented.
  • Combination of measures in cost benefit analysis implemented.
  • Version used for cost benefit analysis explanatory paper.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar over 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - raster handlers

  • new Centroids class which supports raster and point data.
  • Exposures can be set from raster data and can handle raster centroids.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar over 6 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - documentation structure

  • documentation: add contributors, data , configuration and introduction sections. update installation and tutorials section.
  • tutorials: moved from script folder to doc folder
  • LitPop: include new population data version v4.11
  • unit tests: update according to update World Bank

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar almost 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - lecture 2019

  • release to be used in the lecture of 2019.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar almost 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - measures set and impact functions set consistent

  • MeasureSet structure similar to ImpactSet: measures can have same name, but different hazard type.
  • MeasureSet: Rename add_measure to append and append to extend
  • ImpactSet: Rename add_func to append and append to extend

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar almost 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - cost-benefit plots

  • improvements in documentation
  • correct plots in cost_benefit

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar almost 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - litpop

  • version ready for lecture "Climate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation"
  • added LitPop model. Population data used: v4.10.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar almost 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - add Impact Excel writer and reader

version used for idmc calculations.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar about 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - cost-benefit

Adaptation measures appraisal added.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar about 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - CLIMADA - a global weather and climate risk assessment platform

-First stable version to compute risk assessment metrics. -Provides models to compute tropical cyclone economic damages (TropCyclone and BlackMarble classes) -Version used in paper: CLIMADA - a global weather and climate risk assessment platform, Aznar-Siguan, G. and Bresch, D. N..

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar about 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - improved BlackMarble performance

-improve performance on black marble provinces computation. -first draft on cost benefit computations (this is not ready to use yet).

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar over 7 years ago

A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - Risk assessment for Tropical Cyclones with Black Marble

Tropical cyclones' tctracks and tropcyclone modules have been optimised for faster execution. Black Marble economical exposures methodology implemented.

Scientific Software - Peer-reviewed - Jupyter Notebook
Published by gabrielaznar over 7 years ago