000905400 001__ 905400
000905400 005__ 20230127125339.0
000905400 037__ $$aFZJ-2022-00652
000905400 041__ $$aEnglish
000905400 1001_ $$0P:(DE-Juel1)6952$$aSchultz, Martin$$b0$$eCorresponding author$$ufzj
000905400 1112_ $$aAI4Good$$cvirtual$$d2022-01-12 - 2022-01-12$$gAI4Good$$wSwitzerland
000905400 245__ $$aDeep Learning for Weather Forecasting and Climate Prediction
000905400 260__ $$c2022
000905400 3367_ $$033$$2EndNote$$aConference Paper
000905400 3367_ $$2DataCite$$aOther
000905400 3367_ $$2BibTeX$$aINPROCEEDINGS
000905400 3367_ $$2DRIVER$$aconferenceObject
000905400 3367_ $$2ORCID$$aLECTURE_SPEECH
000905400 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1642493332_23750$$xInvited
000905400 500__ $$aPublication website includes recorded streaming. AI4Good website: https://aiforgood.itu.int/
000905400 520__ $$aAI methods are rapidly taking hold in almost any aspect of our lives. In some specialized application areas, computers are outperforming humans with respect to image or audio analysis, speech recognition, and controlled movements. Nevertheless, weather and climate prediction still uses humongous computer codes, which solve thousands of differential equations on the fastest supercomputers. Everywhere along the workflow of such prediction systems researchers are trying out how AI could transform or even revolutionize weather and climate forecasting. While there are some promising research pathways, several scientific and technical challenges have to be overcome before we might see a widespread adaptation of such methods in weather centres and research organisations.  I will discuss recent achievements and ongoing activities and I may be tempted to speculate about fundamental, inherent limitations of AI concepts in this application area.
000905400 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000905400 536__ $$0G:(DE-Juel-1)ESDE$$aEarth System Data Exploration (ESDE)$$cESDE$$x1
000905400 8564_ $$uhttps://aiforgood.itu.int/event/ai-and-climate-science-martin-schultz-duncan-watson-parris/
000905400 909CO $$ooai:juser.fz-juelich.de:905400$$pVDB
000905400 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)6952$$aForschungszentrum Jülich$$b0$$kFZJ
000905400 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000905400 9141_ $$y2022
000905400 920__ $$lyes
000905400 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000905400 980__ $$aconf
000905400 980__ $$aVDB
000905400 980__ $$aI:(DE-Juel1)JSC-20090406
000905400 980__ $$aUNRESTRICTED