pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

17301 11 94570 2 275271 document 94570 f2a3a3ec-a746-4a97-84bc-9fab87a36e90_13633_-_daniel_huppmann_2.pdf application/pdf 4f4177c99ed78440ef61aaa36e2fea3d MD5 1769271 2021-07-05 10:32:54 https://pure.iiasa.ac.at/id/eprint/17301/1/f2a3a3ec-a746-4a97-84bc-9fab87a36e90_13633_-_daniel_huppmann_2.pdf 17301 1 1 application/pdf text en public cc_by_4

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published 94571 1 275278 document 94571 indexcodes.txt text/x-c++ 5eea269cf4fac9e5a60876a4414c9a82 MD5 13078 2021-07-05 10:42:47 https://pure.iiasa.ac.at/id/eprint/17301/2/indexcodes.txt 17301 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/94570 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/94570 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/94570 archive 353 disk0/00/01/73/01 2021-07-05 10:37:52 2021-08-27 17:34:58 2021-07-05 10:37:52 article show Huppmann D. 2107 0000-0002-7729-7389 Gidden M. 2108 0000-0003-0687-414X Nicholls Z. Hörsch J. Lamboll R. Kishimoto P. 2210 0000-0002-8578-753X Burandt T. Fricko O. 2004 0000-0002-6835-9883 Byers E. 2115 0000-0003-0349-5742 Kikstra J. 2256 0000-0001-9405-1228 Brinkerink M. Budzinski M. Maczek F. Zwickl-Bernhard S. Welder L. Álvarez Quispe E.F. Smith C. 9291 0000-0003-0599-4633 pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios pub ECE IACC S3 The open-source Python package pyam provides a suite of features and methods for the analysis, validation and visualization of reference data and scenario results generated by integrated assessment models, macro-energy tools and other frameworks in the domain of energy transition, climate change mitigation and sustainable development. It bridges the gap between scenario processing and visualisation solutions that are "hard-wired" to specific modelling frameworks and generic data analysis or plotting packages. The package aims to facilitate reproducibility and reliability of scenario processing, validation and analysis by providing well-tested and documented methods for timeseries aggregation, downscaling and unit conversion. It supports various data formats, including sub-annual resolution using continuous time representation and "representative timeslices". The code base is implemented following best practices of collaborative scientific-software development. This manuscript describes the design principles of the package and the types of data which can be handled. The usefulness of pyam is illustrated by highlighting several recent applications. 2021-06-28 published 10.12688/openreseurope.13633.1 130 103 3104 97 2585 3149 3162 public Open Research Europe 1 e74 TRUE 2732-5121 http://pure.iiasa.ac.at/id/eprint/17201/ Open ENergy TRansition ANalyses for a low-carbon Economy (Open ENTRANCE, H2020 835896) Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making (NAVIGATE, H2020 821124) Exploring National and Global Actions to reduce Greenhouse gas Emissions (ENGAGE, H2020 821471) FALSE yes info:eu-repo/grantAgreement/EC/H2020/835896/EU//Open ENTRANCE; info:eu-repo/grantAgreement/EC/H2020/821124/EU//NAVIGATE; info:eu-repo/grantAgreement/EC/H2020/821471/EU//ENGAGE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess