Overview of near-term decadal climate prediction and its applications: Technical note
dc.contributor.author | Gonzalez-Reviriego, Nube |
dc.contributor.author | Caron, Louis-Philippe |
dc.contributor.author | Solaraju Murali, Balakrishnan |
dc.contributor.author | Doblas Reyes, Francisco |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental |
dc.date.accessioned | 2021-06-22T09:14:59Z |
dc.date.available | 2021-06-22T09:14:59Z |
dc.date.issued | 2018-07-15 |
dc.identifier.citation | González-Reviriego, N. [et al.]. Overview of near-term decadal climate prediction and its applications: Technical note. 2018. |
dc.identifier.uri | http://hdl.handle.net/2117/347727 |
dc.description | Technical Memoranda |
dc.description.abstract | This document provides a synthesis of the current knowledge on decadal prediction. The document is divided in three parts. The first section provides an overview of the external forcings and the slow climate oscillations that provide predictability at the decadal timescale. The second section describes the different steps of a typical decadal prediction experiment: initialization, simulation, post-processing and forecast quality assessment. That section also provides a short summary on to the level of skill currently available from decadal prediction systems. Finally, the third section provides an overview of different applications that have attempted to make use of decadal predictions, in particular in agriculture-relevant sectors. The document concludes by offering a perspective on the development of decadal prediction in the upcoming years. |
dc.description.sponsorship | We would like to acknowledge financial support from the European Union’s Horizon 2020 Research & Innovation programme (EUCP; grant agreement no. 776613) and from the Ministerio de Economía y Competitividad (MINECO) as part of the CLINSA project (CGL2017-85791-R). Balakrishnan Solaraju Murali would also like to acknowledge financial support from the Marie Skłodowska-Curie fellowship (grant agreement No. 713673) and from “La Caixa Banking Foundation" for the financial support received through the “La Caixa” INPhINIT Fellowship Grant for Doctoral studies at Spanish Research Centres of Excellence. LPC’s contract is co-financed by the MINECO under Juan de la Cierva Incorporación postdoctoral fellowship number IJCI-2015-23367. |
dc.format.extent | 41 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | BSC-ESS-2018-001 |
dc.subject | Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental |
dc.subject.lcsh | Weather forecasting |
dc.subject.other | Climate |
dc.subject.other | Decadal prediction |
dc.subject.other | Agriculture |
dc.title | Overview of near-term decadal climate prediction and its applications: Technical note |
dc.type | External research report |
dc.subject.lemac | Previsió del temps |
dc.relation.publisherversion | https://earth.bsc.es/wiki/lib/exe/fetch.php?media=library:external:technical_memoranda:bsc-ess-2018-001-dcp-jrc.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 31800410 |
dc.description.version | Preprint |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/713673/EU/Innovative doctoral programme for talented early-stage researchers in Spanish host organisations excellent in the areas of Science, Technology, Engineering and Mathematics (STEM)./INPhINIT |
local.citation.author | González-Reviriego, N.; Caron, L.; Solaraju-Murali, B.; Doblas, F. |
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