{"id":528,"date":"2023-05-04T00:23:43","date_gmt":"2023-05-03T23:23:43","guid":{"rendered":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/?page_id=528"},"modified":"2023-07-07T14:31:49","modified_gmt":"2023-07-07T13:31:49","slug":"programme","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/","title":{"rendered":"Programme"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]<\/p>\n

Conference programme<\/span><\/b><\/h2>\n

Schedule of Oral and Poster Presentations. All timings listed are local UK time (British Summer Time; BST; UTC+1).<\/p>\n

In the detailed programmes (orals\/posters), click on the title to see the full abstract.<\/p>\n

PDF version of conference programme: [Letter size pdf<\/a>] [A4 size pdf<\/a>].[\/vc_column_text][vc_tta_tabs][vc_tta_section title=”Overview” tab_id=”1683196006861-3f180069-832b”][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nMonday 3 July<\/a><\/span><\/td>\nTuesday 4 July<\/a><\/span><\/td>\nWednesday 5 July<\/a><\/span><\/td>\nThursday 6 July<\/a><\/span><\/td>\nFriday 7 July<\/a><\/span><\/td>\n<\/tr>\n
08:00\u201308:30<\/td>\nRegistration<\/td>\n<\/td>\n<\/tr>\n
08:30\u201309:00<\/td>\n<\/tr>\n
09:00\u201309:30<\/td>\nOpening Session<\/td>\nModeling: M1 Ensembles<\/span><\/td>\nBreakout Preparation<\/td>\nPredictability & Processes: P3 Stratosphere<\/td>\nPredictability & Processes: P5 Precipitation & Tropical Waves<\/td>\n<\/tr>\n
09:30\u201310:00<\/td>\n<\/tr>\n
10:00\u201310:30<\/td>\n<\/tr>\n
10:30\u201311:00<\/td>\nMorning Coffee<\/td>\n<\/tr>\n
11:00\u201311:30<\/td>\nPredictability & Processes: P1 MJO & Teleconnections<\/td>\nR2O: R2 Skill & Verification<\/td>\nBreakout 1<\/td>\nPredictability & Processes: P4 Other Processes<\/td>\nR2O: R4 Climate Services<\/td>\n<\/tr>\n
11:30\u201312:00<\/td>\n<\/tr>\n
12:00\u201312:30<\/td>\nBreakout 2<\/td>\n<\/tr>\n
12:30\u201313:00<\/td>\n<\/tr>\n
13:00\u201313:30<\/td>\n<\/td>\n(13:00: Group photo)<\/td>\nLunch Break<\/td>\n<\/td>\n(Running Out of Time relay)<\/td>\n<\/tr>\n
13:30\u201314:00<\/td>\n<\/td>\n<\/tr>\n
14:00\u201314:30<\/span><\/td>\nPoster Session 1<\/a><\/span>
\n(Block A)<\/a><\/span><\/td>\n		Poster Session 2<\/a><\/span>
\n(Block A)<\/a><\/span><\/td>\n		Poster Session 3<\/a><\/span>
\n(Block B)<\/a><\/span><\/td>\n		Poster Session 4<\/a><\/span>
\n(Block B)<\/a><\/span><\/td>\n		Modeling: M3 Downscaling, Machine Learning & Model Biases<\/span><\/td>\n<\/tr>\n
14:30\u201315:00<\/span><\/td>\n<\/tr>\n
15:00\u201315:30<\/span><\/td>\n<\/tr>\n
15:30\u201316:00<\/td>\nAfternoon Coffee<\/td>\n<\/tr>\n
16:00\u201316:30<\/td>\nR2O: R1 Extremes<\/td>\nPredictability & Processes: P2 Land & Aerosols<\/td>\nR2O: R3 Post-Processing<\/td>\nModeling: M2 Ensembles & Processes<\/td>\nBreakout Reports & Closing Discussion<\/td>\n<\/tr>\n
16:30\u201317:00<\/td>\n<\/tr>\n
17:00\u201317:30<\/td>\n<\/tr>\n
17:30\u201318:00<\/td>\nIce Breaker *<\/td>\n<\/td>\nECR Event *<\/td>\n<\/td>\n<\/tr>\n
18:00\u201318:30<\/td>\n<\/tr>\n
18:30\u201319:00<\/td>\nConference Dinner *<\/td>\n<\/tr>\n
19:00\u201319:30<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
19:30\u201320:00<\/td>\n<\/tr>\n
20:00\u201320:30<\/td>\n<\/tr>\n
20:30\u201321:00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

* Timings of evening events are provisional[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Monday 3rd” tab_id=”1683195947081-c683d9d7-1745″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
08:00\u201309:00<\/strong><\/td>\nRegistration<\/strong><\/td>\n<\/tr>\n
09:00\u201310:30<\/strong><\/td>\nOpening Session
\n<\/strong>Session Chair: Frederic Vitart (ECMWF)<\/td>\n<\/tr>\n
09:00\u201309:15<\/td>\n<\/td>\n<\/td>\nWelcome from the University of Reading, WCRP and S2S Project<\/td>\n<\/tr>\n
09:15\u201309:30<\/td>\n<\/td>\nChris Davis (WWRP, NCAR)<\/td>\nWWRP: Welcome and Future Vision<\/td>\n<\/tr>\n
09:30\u201310:00<\/td>\n<\/td>\nBrian Hoskins (University of Reading)<\/td>\nBasic ideas on possible S2S predictive power<\/a><\/td>\n<\/tr>\n
10:10\u201310:30<\/td>\n<\/td>\nGilbert Brunet (Bureau of Meteorology)<\/td>\nSubseasonal to Seasonal Prediction: a thirty-year journey<\/td>\n<\/tr>\n
10:30\u201311:00<\/strong><\/td>\nMorning Coffee<\/strong><\/td>\n<\/tr>\n
11:00\u201313:00<\/strong><\/td>\nPredictability & Processes: P1 MJO & Teleconnections
\n<\/strong>Session Chair: Andrew Charlton-Perez (University of Reading)<\/td>\n<\/tr>\n
11:00\u201311:15<\/td>\n188<\/td>\nCristiana Stan
\n(George Mason University)<\/td>\n		Advances in the prediction of MJO-Teleconnections in the S2S forecast systems<\/a><\/td>\n<\/tr>\n
11:15\u201311:30<\/td>\n191<\/td>\nHyemi Kim
\n(Ewha Womans University & Stony Brook University)<\/td>\n		The Maritime Continent barrier effect on MJO predictability: perfect-model ensemble forecasts with the CESM2 aqua-planet<\/a><\/td>\n<\/tr>\n
11:30\u201311:45<\/td>\n209<\/td>\nKunio Yoneyama
\n(JAMSTEC)<\/td>\n		Some indications of key components for the MJO and relevant phenomena over the Maritime Continent from the recent field observations<\/a><\/td>\n<\/tr>\n
11:45\u201312:00<\/td>\n198<\/td>\nDonaldi Permana
\n(Center for Research and Development – Indonesia Agency for Meteorology Climatology and Geophysics (BMKG))<\/td>\n		The impact of the BSISO on boreal summer rainfall anomalies in Indonesia<\/a><\/td>\n<\/tr>\n
12:00\u201312:15<\/td>\n260<\/td>\nJune-Yi Lee
\n(Research Center for Climate Sciences, Pusan National University)<\/td>\n		Boreal Summer Intraseasonal Oscillation: Propagation, Interannual Variability, and Impacts on Extremes<\/a><\/td>\n<\/tr>\n
12:15\u201312:30<\/td>\n086<\/td>\nRobert W. Lee
\n(University of Reading)<\/td>\n		ENSO modulation of MJO teleconnections to the North Atlantic & Europe<\/a><\/td>\n<\/tr>\n
12:30\u201312:45<\/td>\n211<\/td>\nChristian M. Grams
\n(Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT))<\/td>\n		Predictability and windows of sub-seasonal forecast opportunity for North Atlantic-European weather regimes<\/a><\/td>\n<\/tr>\n
12:45\u201313:00<\/td>\n237<\/del><\/td>\nDavid Martin Straus<\/del>
\n(George Mason University)
\n<\/del>This talk has been moved to the P4 Session at 12:00<\/em><\/td>\n		Uncertainty in Diabatic Heating within MJO phases 3-4 and Consequences for Mid-Latitude Predictability: Large Ensemble Studies with the ECMWF Model<\/a><\/del><\/td>\n<\/tr>\n
13:00\u201314:00<\/strong><\/td>\nLunch Break<\/strong><\/td>\n<\/tr>\n
14:00\u201315:30<\/strong><\/span><\/td>\nPoster Session 1 (Block A)<\/strong><\/a><\/span><\/td>\n<\/tr>\n
15:30\u201316:00<\/strong><\/td>\nAfternoon Coffee<\/strong><\/td>\n<\/tr>\n
16:00\u201317:30<\/strong><\/td>\nR2O: R1 Extremes
\n<\/strong>Session Chair: Hai Lin (Environment and Climate Change Canada)
\n<\/strong><\/td>\n<\/tr>\n
16:00\u201316:15<\/td>\n192<\/td>\nChristopher J. White
\n(Department of Civil and Environmental Engineering, University of Strathclyde)<\/td>\n		Subseasonal-to-seasonal prediction case studies: extreme events and applications<\/a><\/td>\n<\/tr>\n
16:15\u201316:30<\/td>\n060<\/td>\nJames Carruthers
\n(Newcastle University)<\/td>\n		Using sub-seasonal forecasting to predict temporally compounding extreme events<\/a><\/td>\n<\/tr>\n
16:30\u201316:45<\/td>\n149<\/td>\nChia-Ying Lee
\n(Lamont-Doherty Earth Observatory, Columbia University)<\/td>\n		Subseasonal tropical cyclone precipitation prediction in GEOS-S2S and the WMO S2S models<\/a><\/td>\n<\/tr>\n
16:45\u201317:00<\/td>\n152<\/td>\nH\u00e9l\u00e8ne Vermes
\n(Laboratoire de l’Atmosph\u00e8re et des Cyclones (LACy), CNRS, Universit\u00e9 de La R\u00e9union, M\u00e9t\u00e9o-France)<\/td>\n		Using monthly forecast of extreme events in the southwest Indian Ocean for disaster risk management: co-creation of a decision support tool for tropical cyclone risk anticipation<\/a><\/td>\n<\/tr>\n
17:00\u201317:15<\/td>\n035<\/td>\nMelanie Alayne Schroers
\n(School of Meteorology, University of Oklahoma)<\/td>\n		Prediction and Impacts of 14-day Extreme Precipitation Periods within the CONUS<\/a><\/td>\n<\/tr>\n
17:15\u201317:30<\/td>\n100<\/td>\nPauline Rivoire
\n(Institute of Earth Surface Dynamics, University of Lausanne)<\/td>\n		Assessment of S2S ensemble extreme precipitation forecasts over Europe<\/a><\/td>\n<\/tr>\n
17:30\u201319:00<\/strong><\/td>\nIce Breaker<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Tuesday 4th” tab_id=”1683154685372-f1d16a79-8ecf”][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
09:00\u201310:30<\/strong><\/td>\nModeling: M1 Ensembles
\n<\/strong>Session Chair: Andrea Molod (NASA Global Modeling and Assimilation Office)
\n<\/strong><\/td>\n<\/tr>\n
09:00\u201309:15<\/td>\n072<\/td>\nYuhei Takaya
\n(Meteorological Research Institute, Japan Meteorological Agency)<\/td>\n		Summary of S2S Ensemble Sub-project<\/a><\/td>\n<\/tr>\n
09:15\u201309:30<\/td>\n246<\/td>\nJudith Berner
\n(National Center for Atmospheric Research, U.S.A.)<\/td>\n		Impact of Stochastic Parameterization on S2S Forecasts with CESM<\/a><\/td>\n<\/tr>\n
09:30\u201309:45<\/td>\n050<\/td>\nTongwen Wu
\n(Earth System Modeling and Prediction Center, China Meteorological Administration)<\/td>\n		CMA-CPSv3: A sub-seasonal to annual climate prediction system in China Meteorological Administration<\/a><\/td>\n<\/tr>\n
09:45\u201310:00<\/td>\n095<\/td>\nMasashi Sumitomo
\n(Japan Meteorological Agency)<\/td>\n		New JMA forecast data for S2S Project based on a coupled model<\/a><\/td>\n<\/tr>\n
10:00\u201310:15<\/td>\n029<\/td>\nRae-Seol Park
\n(Korea Institute of Atmospheric Prediction Systems)<\/td>\n		Korean Integrated Model: expansion of prediction target to extended range forecasts<\/a><\/td>\n<\/tr>\n
10:15\u201310:30<\/td>\n069<\/td>\nWilliam James Crawford
\n(U. S. Naval Research Laboratory, Monterey)<\/td>\n		The Navy Earth System Prediction Capability Version 2\u00a0 Ensemble Forecast System<\/a><\/td>\n<\/tr>\n
10:30\u201311:00<\/strong><\/td>\nMorning Coffee<\/strong><\/td>\n<\/tr>\n
11:00\u201313:00<\/strong><\/td>\nR2O: R2 Skill & Verification
\n<\/strong>Session Chair: Arun Kumar (National Centers for Environmental Prediction)
\n<\/strong><\/td>\n<\/tr>\n
11:00\u201311:15<\/td>\n089<\/td>\nCaio Coelho
\n(CPTEC\/INPE)<\/td>\n		The S2S sub-project on Research to Operations (R2O): forecast and verification products development<\/a><\/td>\n<\/tr>\n
11:15\u201311:30<\/td>\n255<\/td>\nD R Pattanaik
\n(India Meteorological Department)<\/td>\n		Extended Range Forecast of Monsoon over India at Met-subdivision and Districts levels : Prospect of its applications in Agriculture<\/a><\/td>\n<\/tr>\n
11:30\u201311:45<\/td>\n126<\/td>\nFelipe M. de Andrade
\n(National Institute for Space Research)<\/td>\n		Skill assessment and sources of predictability for sub-seasonal rainfall forecasts in Africa<\/a><\/td>\n<\/tr>\n
11:45\u201312:00<\/td>\n044<\/td>\nMarisol Osman
\n(Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT))<\/td>\n		Multi-model Assessment of the Sub-seasonal Predictive Skill for the Year-round Atlantic-European Weather Regimes<\/a><\/td>\n<\/tr>\n
12:00\u201312:15<\/td>\n096<\/td>\nS. Abhik
\n(School of Earth, Atmosphere, and Environment, Monash University, Australia)<\/td>\n		The Indo-Pacific Maritime Continent Barrier Effect on MJO Prediction in Subseasonal-to-Seasonal Prediction Models<\/a><\/td>\n<\/tr>\n
12:15\u201312:30<\/td>\n196<\/del><\/td>\nPhilip Pegion<\/del>
\n(NOAA)<\/del><\/td>\n		Coupled Model Diagnostic Tools for UFS Subseasonal to Seasonal Model Development<\/del><\/td>\n<\/tr>\n
12:30\u201312:45<\/td>\n009<\/td>\nClaire Spillman
\n(Bureau of Meteorology)<\/td>\n		Predicting ocean extremes at subseasonal to seasonal timescales for operational decision support<\/a><\/td>\n<\/tr>\n
12:45\u201313:00<\/td>\n245<\/td>\nAbigail Jaye
\n(National Center for Atmospheric Research, U.S.A.)<\/td>\n		State-dependent Forecast Skill in S2S Forecasts<\/a><\/td>\n<\/tr>\n
13:00\u201314:00<\/strong><\/td>\nLunch Break, including group photo outside the Palmer Building front entrance at 13:00<\/strong><\/td>\n<\/tr>\n
14:00\u201315:30<\/strong><\/td>\nPoster Session 2 (Block A)<\/strong><\/a><\/span><\/td>\n<\/tr>\n
15:30\u201316:00<\/strong><\/td>\nAfternoon Coffee<\/strong><\/td>\n<\/tr>\n
16:00\u201317:30<\/strong><\/td>\nPredictability & Processes: P2 Land & Aerosols
\n<\/strong>Session Chair: Magdalena Balmaseda (ECMWF)
\n<\/strong><\/td>\n<\/tr>\n
16:00\u201316:15<\/td>\n258<\/td>\nYongkang Xue
\n(University of California, Los Angeles (UCLA))<\/td>\n		Progress Towards for better Understanding of the Sources of Global S2S Precipitation Prediction using Land Temperatures Anomaly over high mountains: A brief overview from the GEWEX\/LS4P Initiative<\/a><\/td>\n<\/tr>\n
16:15\u201316:30<\/td>\n259<\/td>\nJulia Green
\n(University of Arizona)<\/td>\n		An Emergent Constraint to Improve the Representation of Biosphere-Atmosphere Feedbacks in Earth System Models<\/a><\/td>\n<\/tr>\n
16:30\u201316:45<\/td>\n110<\/td>\nBethan L. Harris
\n(UK Centre for Ecology & Hydrology\/National Centre for Earth Observation)<\/td>\n		Global observations highlight regions where vegetation can enhance S2S predictability<\/a><\/td>\n<\/tr>\n
16:45\u201317:00<\/td>\n107<\/td>\nConstantin Ardilouze
\n(CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o France, CNRS)<\/td>\n		Predicting the leaf area index in a dynamical S2S forecast system<\/a><\/td>\n<\/tr>\n
17:00\u201317:15<\/td>\n157<\/td>\nAriane Frassoni
\n(INPE)<\/td>\n		The Second Phase of the WGNE Aerosol Project: Evaluating the impact of aerosols on the Subseasonal Prediction<\/a><\/td>\n<\/tr>\n
17:15\u201317:30<\/td>\n007<\/td>\nJoshua Talib
\n(UK Centre for Ecology and Hydrology)<\/td>\n		Surface drivers of sub-seasonal predictability across Africa<\/a><\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
18:30\u201321:00<\/strong><\/td>\nConference Dinner<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Wednesday 5th” tab_id=”1683187380929-4bb74275-35d3″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
09:00\u201310:30<\/strong><\/td>\nBreakout Preparation
\n<\/strong>Session Chair: Robert Lee (University of Reading)<\/td>\n<\/tr>\n
09:00\u201309:15<\/td>\n242<\/td>\nDorothy Koch
\n(NOAA OAR Weather Program Office)
\nPresented by Mark Olsen<\/em>
\n(NOAA OAR Weather Program Office)<\/em><\/td>\n		NOAA\u2019s S2S Program Plan and Project Highlights<\/a><\/td>\n<\/tr>\n
09:15\u201309:30<\/td>\n081<\/td>\nRichard Mladek
\n(ECMWF)<\/td>\n		The technical development of the S2S database<\/a><\/td>\n<\/tr>\n
09:30\u201309:45<\/td>\n049<\/td>\nXing Hu
\n(China Meteorological Administration)<\/td>\n		Progress of CMA S2S Data Archive Centre<\/a><\/td>\n<\/tr>\n
09:45\u201310:00<\/td>\n017<\/td>\nPaul Dirmeyer
\n(George Mason University)<\/td>\n		The Land Sub-project of S2S<\/a><\/td>\n<\/tr>\n
10:00\u201310:15<\/td>\n261<\/td>\nLaura Ferranti
\n(ECMWF)
\nPresented by Matthieu Chevallier<\/em>
\n(ECMWF)<\/em><\/td>\n		WMO infrastructure for operational subseasonal forecasting<\/a><\/td>\n<\/tr>\n
10:15\u201310:30<\/td>\n<\/td>\n<\/td>\nBreakout instructions<\/td>\n<\/tr>\n
10:30\u201311:00<\/strong><\/td>\nMorning Coffee<\/strong><\/td>\n<\/tr>\n
11:00\u201313:00<\/strong><\/td>\nBreakout Session
\n<\/strong><\/strong>Breakout Group Chairs:
\n<\/strong><\/strong><\/p>\n
    \n
  1. Christian Grams<\/li>\n
  2. Hai Lin<\/li>\n
  3. Christopher Roberts<\/li>\n
  4. Jason Furtado<\/li>\n
  5. Randal Koster<\/li>\n
  6. Felipe M. de Andrade<\/li>\n
  7. Dominik B\u00fceler<\/li>\n
  8. Linda Hirons<\/li>\n<\/ol>\n<\/td>\n<\/tr>\n
13:00\u201314:00<\/strong><\/td>\nLunch Break<\/strong><\/td>\n<\/tr>\n
14:00\u201315:30<\/strong><\/td>\nPoster Session 3 (Block B)<\/strong><\/a><\/span><\/td>\n<\/tr>\n
15:30\u201316:00<\/strong><\/td>\nAfternoon Coffee<\/strong><\/td>\n<\/tr>\n
16:00\u201317:30<\/strong><\/td>\nR2O: R3 Post-Processing
\n<\/strong>Session Chair: Caio Coelho (CPTEC\/INPE)<\/td>\n<\/tr>\n
16:00\u201316:15<\/td>\n236<\/td>\nAndrew W. Robertson
\n(IRI, Columbia University)<\/td>\n		A multimodel real-time system for global probabilistic subseasonal forecasts of precipitation and temperature<\/a><\/td>\n<\/tr>\n
16:15\u201316:30<\/td>\n251<\/td>\nMarie Drouard
\n(Institute of Geosciences (IGEO, CSIC-UCM), Madrid)<\/td>\n		Sub-seasonal to seasonal prediction of summer heatwaves in the Iberian Peninsula using machine learning algorithms<\/a><\/td>\n<\/tr>\n
16:30\u201316:45<\/td>\n046<\/td>\nNina Horat
\n(Karlsruhe Institute of Technology (KIT))<\/td>\n		Deep learning for post-processing global probabilistic forecasts on sub-seasonal time-scales<\/a><\/td>\n<\/tr>\n
16:45\u201317:00<\/td>\n116<\/td>\nLuc\u00eda M. Castro
\n(Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Ciencias de la Atm\u00f3sfera y los Oc\u00e9anos – Servicio Meteorologico Nacional)<\/td>\n		Skill assessment of weekly temperature anomalies in the SubX Project for the extended austral summer in South America<\/a><\/td>\n<\/tr>\n
17:00\u201317:15<\/td>\n225<\/td>\nSteven Woolnough
\n(National Centre for Atmopsheric Science, University of Reading)<\/td>\n		The potential for using weather patterns to advance sub-seasonal forecasting in Southeast Asia<\/a><\/td>\n<\/tr>\n
17:15\u201317:30<\/td>\n172<\/td>\nCamille Marie-Jeanne Laurence Le Coz
\n(Laboratoire de M\u00e9t\u00e9orologie Dynamique-IPSL, Ecole Polytechnique, Institut Polytechnique de Paris, ENS, PSL Research University, Sorbonne Universit\u00e9, CNRS)<\/td>\n		Multi-model sub-seasonal forecasts of 2m-temperature over Europe using Wasserstein barycentre<\/a><\/td>\n<\/tr>\n
17:30\u201319:00<\/strong><\/td>\nEarly Career Researcher Event<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Thursday 6th” tab_id=”1683194759842-1078913e-3b77″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
09:00\u201310:30<\/strong><\/td>\nPredictability & Processes: P3 Stratosphere
\n<\/strong>Session Chair: Cristiana Stan (George Mason University)<\/td>\n<\/tr>\n
09:00\u201309:15<\/td>\n031<\/td>\nChaim Garfinkel
\n(Hebrew University)<\/td>\n		The Stratospheric Network for the Assessment of Predictability (SNAP): the role of stratosphere-troposphere coupling for S2S skill<\/a><\/td>\n<\/tr>\n
09:15\u201309:30<\/td>\n233<\/td>\nJason Furtado
\n(School of Meteorology, University of Oklahoma)<\/td>\n		Representation and Predictability of Stratospheric Wave Reflection Events in Subseasonal Forecast Models<\/a><\/td>\n<\/tr>\n
09:30\u201309:45<\/td>\n012<\/td>\nBowen Liu<\/span>
\n(Nanjing University of Information Science and Technology)<\/td>\n		Precursory Signals in the Stratospheric Meridional Mass Circulation for Mid-Latitude Cold Air Outbreak Events of High and Low Sub-Seasonal Predictability<\/a><\/td>\n<\/tr>\n
09:45\u201310:00<\/td>\n066<\/td>\nRachel Wai-Ying Wu
\n(ETH Zurich)<\/td>\n		Bimodality in the Predictability of Sudden Stratospheric Warming Events: A Case Study of the 2009 and 2018 Events<\/a><\/td>\n<\/tr>\n
10:00\u201310:15<\/td>\n146<\/td>\nAndrew James Charlton-Perez
\n(University of Reading)<\/td>\n		A Minimal Model to Diagnose the Contribution of the Stratosphere to Tropospheric Forecast Skill<\/a><\/td>\n<\/tr>\n
10:15\u201310:30<\/td>\n067<\/td>\nJonas Spaeth
\n(University of Munich (LMU))<\/td>\n		Anomalies in tropospheric extended-range forecast uncertainty arising from stratosphere-troposphere coupling<\/a><\/td>\n<\/tr>\n
10:30\u201311:00<\/strong><\/td>\nMorning Coffee<\/strong><\/td>\n<\/tr>\n
11:00\u201313:00<\/strong><\/td>\nPredictability & Processes: P4 Other Processes
\n<\/strong>Session Chair: Hyemi Kim (Ewha Womans University)<\/td>\n<\/tr>\n
11:00\u201311:15<\/td>\n006<\/td>\nHai Lin
\n(Environment and Climate Change Canada)<\/td>\n		Subseasonal variability of the warm Arctic \u2013 cold North American pattern<\/a><\/td>\n<\/tr>\n
11:15\u201311:30<\/td>\n230<\/td>\nJohn Methven
\n(University of Reading)<\/td>\n		Relating the properties of quasi-stationary Rossby waves to the jet that they live on<\/a><\/td>\n<\/tr>\n
11:30\u201311:45<\/td>\n123<\/td>\nIago Perez Fern\u00e1ndez
\n(Universidad de la Rep\u00fablica)<\/td>\n		Predictability of Long-lived of Rossby Wave Packets during Southern Hemisphere Summer<\/a><\/td>\n<\/tr>\n
11:45\u201312:00<\/td>\n022<\/td>\nShreya Keshri
\n(Earth and Climate Science, Indian Institute of Science Education and Research Pune)<\/td>\n		A survey of Mixed Rossby-Gravity waves and quantification of their association with extratropical disturbances<\/a><\/td>\n<\/tr>\n
12:00\u201312:15<\/td>\n237<\/td>\nDavid Martin Straus
\n(George Mason University)
\nThis talk has been moved from the P1 Session<\/em><\/td>\n		Uncertainty in Diabatic Heating within MJO phases 3-4 and Consequences for Mid-Latitude Predictability: Large Ensemble Studies with the ECMWF Model<\/a><\/td>\n<\/tr>\n
12:15\u201312:30<\/td>\n164<\/td>\nBoris Dewitte
\n(CEAZA\/CECI)<\/td>\n		Forecast opportunity at subseasonal-to-seasonal timescales in the South Eastern Pacific<\/a><\/td>\n<\/tr>\n
12:30\u201312:45<\/td>\n130<\/td>\nJing Yang
\n(Key Laboratory of Environmental Change and Natural Disaster\/Faculty of Geographical Science, Beijing Normal University)<\/td>\n		Intraseasonal Melting of Northern Barents Sea Ice Forced by Circumpolar Clockwise-Propagating Atmospheric Waves during Early Summer<\/a><\/td>\n<\/tr>\n
12:45\u201313:00<\/td>\n256<\/td>\nElizabeth Barnes
\n(Colorado State University)<\/td>\n		Interpretable Machine Learning for S2D Prediction and Discovery: data-driven approaches to the method of analogs<\/a><\/td>\n<\/tr>\n
13:00\u201314:00<\/strong><\/td>\nLunch Break<\/strong><\/td>\n<\/tr>\n
14:00\u201315:30<\/strong><\/td>\nPoster Session 4 (Block B)<\/strong><\/a><\/span><\/td>\n<\/tr>\n
15:30\u201316:00<\/strong><\/td>\nAfternoon Coffee<\/strong><\/td>\n<\/tr>\n
16:00\u201317:30<\/strong><\/td>\nModeling: M2 Ensembles & Processes
\n<\/strong>Session Chair: Yuhei Takaya (Meteorological Research Institute, Japan Meteorological Agency)<\/td>\n<\/tr>\n
16:00\u201316:15<\/td>\n084<\/td>\nMagdalena Alonso Balmaseda
\n(ECMWF)<\/td>\n		Towards consistent representation of the boundary forcing temporal variability in S2S reforecasts and real-time forecasts<\/a><\/td>\n<\/tr>\n
16:15\u201316:30<\/td>\n001<\/td>\nFrederic Vitart
\n(ECMWF)<\/td>\n		Sub-seasonal prediction at ECMWF<\/a><\/td>\n<\/tr>\n
16:30\u201316:45<\/td>\n085<\/td>\nAndrea Molod
\n(NASA Global Modeling and Assimilation Office)<\/td>\n		Prediction and Predictability Studies with NASA’s GEOS-S2S Modeling and Assimilation System<\/a><\/td>\n<\/tr>\n
16:45\u201317:00<\/td>\n137<\/td>\nQing Bao
\n(Chinese Academy of Sciences (CAS), Institute of Atmospheric Physics (IAP))
\nPresented by Yangke Liu
\n(Chinese Academy of Sciences (CAS), Institute of Atmospheric Physics (IAP))<\/em><\/td>\n		Impacts of humidity initialization on MJO prediction: a study in an operational Sub-seasonal to seasonal system<\/a><\/td>\n<\/tr>\n
17:00\u201317:15<\/td>\n019<\/td>\nSusmitha Joseph
\n(Indian Institute of Tropical Meteorology, Pune )<\/td>\n		Development of a Multi-physics Multi-ensemble system for efficient subseasonal prediction<\/a><\/td>\n<\/tr>\n
17:15\u201317:30<\/td>\n177<\/td>\nMatthew Newman
\n(NOAA\/Physical Sciences Laboratory)<\/td>\n		A Linear Inverse Model for Improved Model Guidance of CPC\u2019s Week 3-4 Operational Temperature Outlooks<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Friday 7th” tab_id=”1683195451407-4774ff8f-8570″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
09:00\u201310:30<\/strong><\/td>\nPredictability & Processes: P5 Precipitation & Tropical Waves
\n<\/strong>Session Chair: Susmitha Joesph (Indian Institute of Tropical Meteorology)<\/td>\n<\/tr>\n
09:00\u201309:15<\/td>\n062<\/td>\nArun Kumar
\n(Climate Prediction Center, NOAA)<\/td>\n		Attribution of North American Subseasonal Precipitation Prediction Skill<\/a><\/td>\n<\/tr>\n
09:15\u201309:30<\/td>\n148<\/td>\nXiangbo Feng (National Centre for Atmospheric Science, University of Reading)<\/td>\nEquatorial waves: precursors to tropical cyclone occurrence and intensification<\/a><\/td>\n<\/tr>\n
09:30\u201309:45<\/td>\n131<\/td>\nVincent Owanda Otieno
\n(Technical University of Kenya)<\/td>\n		Characterization of Intra-Seasonal Variability during Extreme Dry Seasons over the Greater Horn of Africa (GHA): Implications for Climate Adaptation and Mitigation<\/a><\/td>\n<\/tr>\n
09:45\u201310:00<\/td>\n193<\/td>\nJuliana Dias
\n(NOAA Physical Sciences Laboratory)<\/td>\n		Are equatorial waves a practical source of deterministic sub-seasonal predictive skill?<\/a><\/td>\n<\/tr>\n
10:00\u201310:15<\/td>\n214<\/td>\nPhilippe Peyrille
\n(CNRM, Meteo-France)
\nPresented by Damien Specq
\n(CNRM, Meteo-France)<\/em><\/td>\n		Multiple tropical waves occurrence drive extreme precipitation events in the central Sahel<\/a><\/td>\n<\/tr>\n
10:15\u201310:30<\/td>\n160<\/td>\nKieran Mark Rainwater Hunt
\n(University of Reading)<\/td>\n		Nonlinear intensification of monsoon low pressure systems by the BSISO<\/a><\/td>\n<\/tr>\n
10:30\u201311:00<\/strong><\/td>\nMorning Coffee<\/strong><\/td>\n<\/tr>\n
11:00\u201313:00<\/strong><\/td>\nR2O: R4 Climate Services
\n<\/strong>Session Chair: Andrew Robertson (IRI, Columbia University)<\/td>\n<\/tr>\n
11:00\u201311:15<\/td>\n097<\/td>\nJoanne Robbins
\n(Met Office)<\/td>\n		Exploring the challenges and opportunities of S2S forecast application development through the Subseasonal-to-Seasonal (S2S) Real Time Pilot (RTP) Initiative<\/a><\/td>\n<\/tr>\n
11:15\u201311:30<\/td>\n257<\/td>\nMike DeFlorio
\n(Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California San Diego)<\/td>\n		The transition from California\u2019s extreme drought to major flooding: Evaluating CW3E\u2019s S2S forecasts of the onslaught of landfalling atmospheric rivers and associated extreme precipitation in December 2022 – January 2023<\/a><\/td>\n<\/tr>\n
11:30\u201311:45<\/td>\n057<\/td>\nLinda Hirons
\n(NCAS, University of Reading)<\/td>\n		Using a co-production approach to support effective application of S2S forecasts in Africa<\/a><\/td>\n<\/tr>\n
11:45\u201312:00<\/td>\n174<\/td>\nMasilin Gudoshava
\n(IGAD Climate Predictions and Applications Centre)<\/td>\n		Application of real time S2S forecasts over Eastern Africa in the co-production of climate services<\/a><\/td>\n<\/tr>\n
12:00\u201312:15<\/td>\n071<\/td>\nRandal Koster
\n(Global Modeling and Assimilation Office, NASA\/Goddard Space Flight Center)<\/td>\n		The Subseasonal Forecasting of Hydrological Variables:\u00a0 Improvement Strategies Inferred from a Water Balance Model Analysis<\/a><\/td>\n<\/tr>\n
12:15\u201312:30<\/td>\n166<\/td>\nWee Leng Tan
\n(Centre for Climate Research Singapore)
\nPresented by Chen Schwartz<\/em>
\n(Centre for Climate Research Singapore)<\/em><\/td>\n		Application of S2S for Disaster Management: Development of products for Southeast Asia<\/a><\/td>\n<\/tr>\n
12:30\u201312:45<\/td>\n208<\/td>\nEmily Black
\n(University of Reading and the National Centre for Atmospheric Science)<\/td>\n		Application of sub-seasonal forecasts for farmer decision support in eastern and southern Africa<\/a><\/td>\n<\/tr>\n
12:45\u201313:00<\/td>\n181<\/td>\nErik W. Kolstad
\n(NORCE, Bjerknes Centre for Climate Research)<\/td>\n		Use of S2S forecasts in the Climate Futures centre for applied research<\/a><\/td>\n<\/tr>\n
13:00\u201314:00<\/strong><\/td>\nLunch Break, including Running Out of Time<\/span><\/a> walking relay participation opportunity<\/strong><\/td>\n<\/tr>\n
14:00\u201315:30<\/strong><\/td>\nModeling: M3 Downscaling, Machine Learning & Model Biases
\n<\/strong>Session Chair: Anca Brookshaw (ECMWF)<\/td>\n<\/tr>\n
14:00\u201314:15<\/td>\n217<\/td>\nHoteit Ibrahim
\n(King Abdullah University of Science and Technology)
\nPresented by Thang Luong
\n(King Abdullah University of Science and Technology)<\/em><\/td>\n		On the development of a S2S forecasting system for the Arabian Peninsula using convective-permitting ensemble dynamical downscaling<\/a><\/td>\n<\/tr>\n
14:15\u201314:30<\/td>\n243<\/td>\nTy Dickinson
\n(School of Meteorology, University of Oklahoma)<\/td>\n		Forecasting Subseasonal Extreme Precipitation in the Contiguous United States Using a Convolutional Neural Network<\/a><\/td>\n<\/tr>\n
14:30\u201314:45<\/td>\n104<\/td>\nDominik B\u00fceler
\n(ETH Z\u00fcrich)<\/td>\n		Northern Hemisphere extratropical cyclone biases in ECMWF sub-seasonal forecasts<\/a><\/td>\n<\/tr>\n
14:45\u201315:00<\/td>\n178<\/td>\nKirsten Mayer
\n(National Center for Atmospheric Research, U.S.A.)<\/td>\n		Identifying State-Dependent Subseasonal Predictability Bias with Explainable Neural Networks<\/a><\/td>\n<\/tr>\n
15:00\u201315:15<\/td>\n090<\/td>\nMatthew Widlansky
\n(Cooperative Institute for Marine and Atmospheric Research, School of Ocean and Earth Science and Technology, University of Hawai\u2019i at M\u0101noa)<\/td>\n		Assessing opportunities for improved coastal data assimilation in ocean model analyses and forecasting systems<\/a><\/td>\n<\/tr>\n
15:15\u201315:30<\/td>\n120<\/td>\nSteffen Tietsche
\n(ECMWF)<\/td>\n		Underestimation of Arctic warming trends in sub-seasonal forecasts<\/a><\/td>\n<\/tr>\n
15:30\u201316:00<\/strong><\/td>\nAfternoon Coffee<\/strong><\/td>\n<\/tr>\n
16:00\u201317:30<\/strong><\/td>\nBreakout Reports & Closing Discussion
\n<\/strong>Session Chair: Steve Woolnough (National Centre for Atmospheric Science, University of Reading)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Posters A” tab_id=”1687372191928-17383015-b9e0″][vc_column_text]Posters in Block A are to be displayed throughout Monday and Tuesday, and presented in either Poster Session 1 (Monday, 14:00-15:30) or Poster Session 2 (Tuesday, 14:00-15:30).<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Poster #<\/strong><\/td>\nAuthor (Affiliation)<\/strong><\/td>\nTitle<\/strong><\/td>\nPresenting Session<\/strong><\/td>\n<\/tr>\n
A1<\/td>\nMarcela Ulate (U.S. Naval Research Laboratory, UCAR)<\/td>\nImpact of Stochastic Kinetic Energy Backscatter Scheme on the Navy Earth System Prediction Capability prediction of the Madden Julian Oscillation during 2017<\/a><\/td>\n1<\/td>\n<\/tr>\n
A2<\/td>\nYangke Liu (CAS-IAP)<\/td>\nMadden\u2013Julian Oscillation prediction skill of CAS-IAP model<\/a><\/td>\n2<\/td>\n<\/tr>\n
A3<\/td>\nBaoqiang Xiang (GFDL\/NOAA, UCAR)<\/td>\nSubseasonal prediction of diverse MJO and BSISO events in GFDL SPEAR model<\/a><\/td>\n1<\/td>\n<\/tr>\n
A4<\/td>\nJing Yang (Beijing Normal University)<\/td>\nBoreal summer extratropical intraseasonal waves over the Eurasian continent and real-time monitoring metrics<\/a><\/td>\n2<\/td>\n<\/tr>\n
A5<\/td>\nLa\u00eds Fernandes (Portland State University)<\/td>\nENSO-MJO effects on the lifecycle of North Pacific Atmospheric Rivers<\/a><\/td>\n1<\/td>\n<\/tr>\n
A6<\/td>\nYoung-Kwon Lim (University of Maryland, Baltimore County, and NASA Goddard Space Flight Center, Global Modeling and Assimilation Office)<\/td>\nPrediction skill of the eastward propagating Madden-Julian Oscillation and associated dynamics in NASA\u2019s GEOS-S2S forecast system<\/a><\/td>\n2<\/td>\n<\/tr>\n
A7<\/td>\nJung-Eun Esther Kim (Ewha Womans University)<\/td>\nS2S predictability of Western North Pacific Subtropical High due to the decadal change in ENSO<\/a><\/td>\n1<\/td>\n<\/tr>\n
A8<\/td>\nLaura Baker (NCAS, University of Reading)<\/td>\nUnderstanding the intermittency of the wintertime North Atlantic Oscillation and East Atlantic Pattern seasonal forecast skill in the Copernicus C3S multi-model ensemble<\/a><\/td>\n2<\/td>\n<\/tr>\n
A9<\/td>\nMasuo Nakano (Japan Agency for Marine-Earth Science and Technology)<\/td>\nImpact of the Boreal Summer Intraseasonal Oscillation on Typhoon Tracks in the Western North Pacific and the Prediction Skill of the ECMWF Model<\/a><\/td>\n1<\/td>\n<\/tr>\n
A10<\/td>\nElena Saggioro (University of Reading)<\/td>\nProbabilistic causal network modelling of Southern Hemisphere jet stream long-range predictability in spring-to-summer<\/a><\/td>\n2<\/td>\n<\/tr>\n
A11<\/td>\nTao Zhu (Key Laboratory of Environmental Change and Natural Disaster\/Faculty of Geographical Science, Beijing Normal University)<\/td>\nTwo Types of Mid-High-Latitude Low-Frequency Intraseasonal Oscillations near the Ural Mountains during Boreal Summer<\/a><\/td>\n1<\/td>\n<\/tr>\n
A12<\/td>\nConstantin Ardilouze (CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o France, CNRS)<\/td>\nFlow dependence of wintertime subseasonal prediction skill over Europe<\/a><\/td>\n2<\/td>\n<\/tr>\n
A13<\/td>\nJeffrey B. Basara (School of Meteorology; School of Civil Engineering and Environmental Science; University of Oklahoma)
\nPresented by Taylor Grace (OU) and Daniel Mesheske (OU)<\/em><\/td>\n		Analysis of the 2022 Flash Drought Across the South-Central United States<\/a><\/td>\n1<\/td>\n<\/tr>\n
A14<\/td>\nMarybeth Arcodia (Colorado State University)<\/td>\nAssessing Decadal Variability of Subseasonal Predictability using Explainable Machine Learning<\/a><\/td>\n2<\/td>\n<\/tr>\n
A15<\/td>\nDanni Du (University of Colorado, Boulder)<\/td>\nPotential increase in MJO predictability under global warming<\/a><\/td>\n1<\/td>\n<\/tr>\n
A16<\/td>\nChaim Garfinkel (Hebrew University)<\/td>\nThe winter North Pacific teleconnection in response to ENSO and the MJO in operational subseasonal forecasting models is too weak<\/a><\/td>\n2<\/td>\n<\/tr>\n
A17<\/td>\nChristopher David Roberts (European Centre for Medium-Range Weather Forecasts)<\/td>\nEuro-Atlantic weather regimes and their modulation by tropospheric and stratospheric teleconnection pathways in ECMWF reforecasts<\/a><\/td>\n1<\/td>\n<\/tr>\n
A18<\/td>\nSasha Glanville (National Center for Atmospheric Research)<\/td>\nSubseasonal predictability from atmospheric, land, and ocean initial states<\/a><\/td>\n2<\/td>\n<\/tr>\n
A19<\/td>\nAngela Benedetti (ECMWF)
\nPresented by Frederic Vitart (ECMWF)<\/em><\/td>\n		The impact of biomass burning emissions on seasonal prediction: a study using the ECMWF\u2019s coupled Ensemble Prediction System<\/a><\/td>\n1<\/td>\n<\/tr>\n
A20<\/td>\nDaniel Mesheske (Department of Civil Engineering and Environmental Science – University of Oklahoma)<\/td>\nInterseasonal terrestrial-atmospheric drivers of flash drought over Europe<\/a><\/td>\n2<\/td>\n<\/tr>\n
A21<\/td>\nJing Yang (Beijing Normal University)<\/td>\nSubseasonal Warming of Surface Soil Enhances Precipitation Over the Eastern Tibetan Plateau in Early Summer<\/a><\/td>\n1<\/td>\n<\/tr>\n
A22<\/td>\nYuhei Takaya (MRI, JMA)<\/td>\nA submonthly scale causal relation between snow cover and surface air temperature on the autumnal Eurasian continent<\/a><\/td>\n2<\/td>\n<\/tr>\n
A23<\/td>\nShan Sun (NOAA Global Systems Laboratory)<\/td>\nQuantifying direct aerosol effect on subseasonal prediction: climatology versus interactive aerosols in the UFS model<\/a><\/td>\n1<\/td>\n<\/tr>\n
A24<\/td>\nJonny Day (European Centre for Medium Range Weather Forecasts)<\/td>\nDiagnostics for land-surface initial conditions and coupling<\/a><\/td>\n2<\/td>\n<\/tr>\n
A25<\/td>\nMonika Feldmann (Institute of Geography and Oeschger Centre for Climate Change Research, University of Bern)<\/td>\nInvestigating the predictability of severe convective outbreaks in central Europe<\/a><\/td>\n1<\/td>\n<\/tr>\n
A26<\/td>\nRaju Mandal (Indian Institute of Tropical Meteorology Pune)
\nPresented by A. K. Sahai (IITM) and Susmitha Joseph (IITM)<\/span><\/em><\/td>\n		Diagnostics and real-time extended range prediction of cold waves over India<\/a><\/td>\n2<\/td>\n<\/tr>\n
A27<\/td>\nBenjamin Davis (University of Oklahoma)<\/td>\nPredictability of Wet Bulb Globe Temperature Heat Waves in the United States Plains<\/a><\/td>\n1<\/td>\n<\/tr>\n
A28<\/td>\nTaylor Grace (School of Meteorology, University of Oklahoma)<\/td>\nA Comparison of Boreal Winter and Summer Heat Wave Characteristics in the US Southern Great Plains<\/a><\/td>\n2<\/td>\n<\/tr>\n
A29<\/td>\nJorge L. Garcia Franco (Columbia University)
\nPresented by Chia-Ying Lee (Columbia University)<\/em><\/td>\n		On the source of model biases for subseasonal tropical cyclone precipitation prediction<\/a><\/td>\n1<\/td>\n<\/tr>\n
A30<\/td>\nEmmanuel Rouges (University of Reading)<\/td>\nHeatwaves over Europe: Improving the forecast on the sub-seasonal range<\/a><\/td>\n2<\/td>\n<\/tr>\n
A31<\/td>\nDaniele Mastrangelo (Institute of Atmospheric Sciences and Climate, CNR-ISAC)<\/td>\nSubseasonal prediction of the 21-25 November 2016 heavy rainfall event over northwestern Italy<\/a><\/td>\n1<\/td>\n<\/tr>\n
A32<\/td>\nAnnika Oertel (Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT))<\/td>\nEverything hits at once: how remote rainfall matters for the sub-seasonal prediction of the 2021 North American heat wave<\/a><\/td>\n2<\/td>\n<\/tr>\n
A33<\/td>\nS. Abhik (School of Earth, Atmosphere, and Environment, Monash University, Australia)<\/td>\nMultiweek prediction and attribution of the Black Saturday heatwave event over southeast Australia<\/a><\/td>\n1<\/td>\n<\/tr>\n
A34<\/td>\nErwan Cornillault (CRNM)<\/td>\nExtreme rainfall events over the French tropical overseas territories : characteristics and atmospheric forcing provided by equatorial waves<\/a><\/td>\n2<\/td>\n<\/tr>\n
A35<\/td>\nDame Guey (Laboratory of Electronics, Computing, Telecommunications and Renewable Energies – University Gaston Berger)<\/td>\nStudy of cyclogenesis in the eastern tropical Atlantic East Atlantic with the LMDz model<\/a><\/td>\n1<\/td>\n<\/tr>\n
A36<\/del><\/td>\nQiaoping Li (CMA Earth System Modeling and Prediction Centre, China Meteorological Administration)<\/del><\/td>\nForecasting and evaluation of summer extreme precipitation and high temperature events in China based on S2S models<\/del><\/td>\n2<\/del><\/td>\n<\/tr>\n
A37<\/td>\nRichard I. Cullather (Global Modeling and Assimilation Office, NASA Goddard Space Flight Center)<\/td>\nInferred Sea Level Prediction in the NASA GMAO Seasonal Forecasting System<\/a><\/td>\n1<\/td>\n<\/tr>\n
A38<\/td>\nRyu Jihun (GIST)<\/td>\nCorrelation between predictability in Sub-seasonal to Seasonal (S2S) timescales and performance of mean state<\/a><\/td>\n2<\/td>\n<\/tr>\n
A39<\/td>\nMarisol Osman (KIT)<\/td>\nFactors influencing sub-seasonal forecast skill of Greenland Blockings<\/a><\/td>\n1<\/td>\n<\/tr>\n
A40<\/td>\nDevin McAfee (University of Oklahoma School of Meteorology)<\/td>\nEvaluation of S2S Prediction Project Database Performance in Forecasting U.S. Extreme Precipitation Events<\/a><\/td>\n2<\/td>\n<\/tr>\n
A41<\/td>\nParomita Chakraborty (National Centre for Medium Range Weather Forecasting (NCMRWF))<\/td>\nAssessing skill of ensemble sub-seasonal to seasonal forecasting over South-east Asia<\/a><\/td>\n1<\/td>\n<\/tr>\n
A42<\/td>\nWayne Yuan-Huai Tsai (Department of Atmospheric Sciences, National Taiwan University)
\nPresented by Hsiao-Chung Tsai (Tamkang University)<\/em><\/td>\n		Intraseasonal oscillations and the subseasonal peak rainfall event in the eastern Philippines during 2017\/18 winter and S2S prediction evaluation<\/a><\/td>\n2<\/td>\n<\/tr>\n
A43<\/td>\nHsiao-Chung Tsai (Department of Water Resources and Environmental Engineering, Tamkang University)<\/td>\nMonitoring Global Tropical Cyclone Activities on Subseasonal Timescale using the CWB TC Tracking System<\/a><\/td>\n1<\/td>\n<\/tr>\n
A44<\/td>\nCristiana Stan (George Mason University)<\/td>\nThe Forecast Skill of the Northern Hemisphere Middle Latitudes Seasonal Oscillation and its impact on the surface air temperature<\/a><\/td>\n2<\/td>\n<\/tr>\n
A45<\/td>\nRanjeet Singh Bais Bais (PhD, IIT Kharagpur)<\/td>\nReliability indices for S2S model for societal application<\/a><\/td>\n1<\/td>\n<\/tr>\n
A46<\/td>\nPaul-Arthur Monerie (University of Reading)<\/td>\nPrediction of the seasonal variability of global summer monsoon precipitation<\/a><\/td>\n2<\/td>\n<\/tr>\n
A47<\/td>\nIgnazio Giuntoli (CNR-ISAC)<\/td>\nA weather regimes approach for identifying increased predictability in the subseasonal prediction of European winters<\/a><\/td>\n1<\/td>\n<\/tr>\n
A48<\/td>\nSilvia Terzago (National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC))<\/td>\nSeasonal forecasting of Alpine snow depth<\/a><\/td>\n2<\/td>\n<\/tr>\n
A49<\/td>\nMaureen Abla Ahiataku (Ghana Meteorological Agency)<\/td>\nImpact of Users\u2019 Feedback on Weather Forecast Evaluation in Ghana, West Africa<\/a><\/td>\n1<\/td>\n<\/tr>\n
A50<\/td>\nSupari Supari (Indonesia Agency for Meteorology, Climatology and Geophysics (BMKG))<\/td>\nThe Performance of ECMWF S2S Model on Predicting the Wet Period at the end of 2022 in Java Island, Indonesia<\/a><\/td>\n2<\/td>\n<\/tr>\n
A51<\/td>\nZhao Li (NASA-GSFC-GMAO)<\/td>\nSummer Heatwave Forecast skills in GEOS5-S2S version 2<\/a><\/td>\n1<\/td>\n<\/tr>\n
A52<\/td>\nXiangwen Liu (Center for Earth System Modeling and Prediction of China Meteorological Administration)
\nPresented by Weihua Jie (CMA)<\/em><\/td>\n		Progress of MJO Prediction at CMA during phase I to phase II of Sub-seasonal to Seasonal Prediction Project<\/a><\/td>\n2<\/td>\n<\/tr>\n
A53<\/td>\nMaria Gehne (CU Boulder CIRES)<\/td>\nDiagnostics of Tropical Variability in the Unified Forecast System<\/a><\/td>\n1<\/td>\n<\/tr>\n
A54<\/td>\nLi Ren (NASA\/GSFC, SSAI)<\/td>\nEvaluation of GEOS -S2S Version 3 Forecast System<\/a><\/td>\n2<\/td>\n<\/tr>\n
S1<\/td>\nHyung-Jin Kim (Head, Climate Prediction Department, APEC Climate Center)<\/td>\n\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Posters B” tab_id=”1687372223405-29bc31aa-3663″][vc_column_text]Posters in Block B are to be displayed throughout Wednesday and Thursday, and presented in either Poster Session 3 (Wednesday, 14:00-15:30), or Poster Session 4 (Thursday, 14:00-15:30).<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Poster #<\/strong><\/td>\nAuthor (Affiliation)<\/strong><\/td>\nTitle<\/strong><\/td>\nPresenting Session<\/strong><\/td>\n<\/tr>\n
B1<\/td>\nEunjeong Lee (Korea Institute of Atmospheric Prediction Systems (KIAPS))<\/td>\nImpacts of an Atmosphere-Ocean Coupling in the Korean Integrated Model (KIM)<\/a><\/td>\n3<\/td>\n<\/tr>\n
B2<\/td>\nMin Chu (CMA Earth System Modeling and Prediction Centre (CEMC))<\/td>\nSeasonal prediction of regional Arctic sea ice using the high-resolution climate prediction system CMA-CPSv3<\/a><\/td>\n4<\/td>\n<\/tr>\n
B3<\/td>\nAude Carreric (BSC-CNS)<\/td>\nImpacts of increased horizontal resolution on the seasonal predictability of Tropical Pacific variability<\/a><\/td>\n3<\/td>\n<\/tr>\n
B4<\/td>\nIan Simpson (University of Lincoln)<\/td>\nProbabilistic seasonal forecasts using complex systems modelling, comparisons with dynamical models and linking North Atlantic atmospheric circulation and jet stream variability to UK and northwest Europe surface weather conditions<\/a><\/td>\n4<\/td>\n<\/tr>\n
B5<\/td>\nBenjamin Green (CU\/CIRES and NOAA\/Global Systems Laboratory)<\/td>\nSensitivities of Subseasonal Coupled Earth System Model Simulations to Changes in Parameterizations of Convection, Cloud Microphysics, and Planetary Boundary Layer<\/a><\/td>\n3<\/td>\n<\/tr>\n
B6<\/td>\nPrajwal P. Jadhav (Indian Institute of Science Education and Research Pune)<\/td>\nSubseasonal forecasting of temperature and precipitation over India using a machine learning approach<\/a><\/td>\n4<\/td>\n<\/tr>\n
B7<\/td>\nYalan Fan (Beijing Normal University)<\/td>\nGain of one-month lead predicting spring rainfall over China: A comparison between FGOALS-f2 ensemble prediction system and its driving stretched-grid downscaling prediction system<\/a><\/td>\n3<\/td>\n<\/tr>\n
B8<\/td>\nBruno dos Santos Guimar\u00e3es (Center for Weather Forecast and Climate Studies, National Institute for Space Research)<\/td>\nAn inter-comparison performance assessment of a Brazilian global sub-seasonal prediction model against four Sub-seasonal to Seasonal (S2S) prediction project models<\/a><\/td>\n4<\/td>\n<\/tr>\n
B9<\/td>\nChristopher Castro (The University of Arizona)<\/td>\nMesoscale Convective Systems in the Arabian Peninsula: Subseasonal to Seasonal Forecast and Tracking Capability through High Resolution Regional Climate Modeling<\/a><\/td>\n3<\/td>\n<\/tr>\n
B10<\/td>\nDioumacor Faye (Ecole Sup\u00e9rieure Polytechnique de l’Universit\u00e9 Cheikh Anta Diop de Dakar)<\/td>\nSub-seasonal to seasonal forecast in Senegal: Machine Learning approach<\/a><\/td>\n4<\/td>\n<\/tr>\n
B11<\/td>\nSylvie Malardel (Laboratoire de l’Atmosph\u00e8re et des Cyclones (LACy))<\/td>\nMonthly forecast exploratory experiment with a convection permitting model for the south-west Indian Ocean basin<\/a><\/td>\n3<\/td>\n<\/tr>\n
B12<\/td>\nBowen Liu (Nanjing University of Information Science and Technology)<\/td>\nImpact of the Initial Stratospheric Polar Vortex State on East Asian Spring Rainfall Prediction in Seasonal Forecast Models<\/a><\/td>\n4<\/td>\n<\/tr>\n
B13<\/td>\nXiuyuan Ding (University of California, Los Angeles)<\/td>\nCausality between Extreme Stratospheric Wave Activity and Cold Extremes over North America<\/a><\/td>\n3<\/td>\n<\/tr>\n
B14<\/td>\nZachary Lawrence (CIRES \/ NOAA PSL)
\nPresented by Chaim I. Garfinkel (Hebrew University of Jerusalem)<\/em><\/td>\n		Stratosphere & Stratosphere-Troposphere Coupling Biases in Subseasonal-to-Seasonal Forecast Models: An International SNAP Community Effort<\/a><\/td>\n4<\/td>\n<\/tr>\n
B15<\/td>\nDvir Chwat (Fredy and Nadine Herrmann Institute of Earth Sciences, Hebrew University, Jerusalem)
\nPresented by Chaim I. Garfinkel (Hebrew University of Jerusalem)<\/em><\/td>\n		Which Sudden Stratospheric Warming Events Are Most Predictable?<\/a><\/td>\n3<\/td>\n<\/tr>\n
B16<\/td>\nChaim I. Garfinkel (Fredy and Nadine Herrmann Institute of Earth Sciences, Hebrew University of Jerusalem)
\nPresented by Chen Schwartz (Hebrew University of Jerusalem)<\/em><\/td>\n		Stationary wave biases and their effect on upward troposphere\u2013 stratosphere coupling in sub-seasonal prediction models<\/a><\/td>\n4<\/td>\n<\/tr>\n
B17<\/td>\nRobert W. Lee (University of Reading)<\/td>\nInitial Conditions for Stratospheric Error Growth<\/a><\/td>\n3<\/td>\n<\/tr>\n
B18<\/td>\nPhilip Rupp (LMU Munich)<\/td>\nPredicting the coupled AO extremes and strong polar vortex conditions during early 2020<\/a><\/td>\n4<\/td>\n<\/tr>\n
B19<\/td>\nHilla Afargan-Gerstman (ETH Z\u00fcrich)<\/td>\nStratospheric influence on North Atlantic storm track predictability in subseasonal-to-seasonal reforecasts<\/a><\/td>\n3<\/td>\n<\/tr>\n
B20<\/td>\nAlexey Karpechko (FMI)
\nPresented by Frederic Vitart (ECMWF)<\/em><\/td>\n		The tropical influence on sub-seasonal predictability of wintertime stratosphere and stratosphere-troposphere coupling<\/a><\/td>\n4<\/td>\n<\/tr>\n
B21<\/td>\nXiaocen Shen (Department of Meteorology, University of Reading)<\/td>\nThe Dominant Intraseasonal Coupling Mode between the Stratosphere and Troposphere: the Stratosphere-Troposphere Oscillation<\/a><\/td>\n3<\/td>\n<\/tr>\n
B22<\/td>\nAkshay Deoras (NCAS & Department of Meteorology, University of Reading)<\/td>\nThe predictability and representation of Indian monsoon low-pressure systems in Subseasonal-to-Seasonal prediction models<\/a><\/td>\n4<\/td>\n<\/tr>\n
B23<\/td>\nTanvir Ahmed (Shahjalal University of Science and Technology, Sylhet, Bangladesh)<\/td>\nProcesses associated with extremely heavy precipitation in the Meghalaya Plateau region: A case modelling study.<\/a><\/td>\n3<\/td>\n<\/tr>\n
B24<\/td>\nJoshua Dorrington (Karlsruhe Institute of Technology)<\/td>\nDomino: A framework for improving extreme event predictability using flow precursors<\/a><\/td>\n4<\/td>\n<\/tr>\n
B25<\/td>\nOliver T. Millin (School of Meteorology, University of Oklahoma)<\/td>\nThe Impact of Rossby Wave Breaking on the Subseasonal Forecast of the February 2021 Great Plains Cold Air Outbreak<\/a><\/td>\n3<\/td>\n<\/tr>\n
B26<\/td>\nTimothy Higgins (University of Colorado – Boulder)<\/td>\nAssessing the Potential Predictability of North Pacific Winter IVT and Precipitation Extremes in ECMWF Subseasonal Forecasts<\/a><\/td>\n4<\/td>\n<\/tr>\n
B27<\/td>\nFelipe M. de Andrade (National Institute for Space Research)<\/td>\nEvaluating the representation of South America precipitation variability patterns in sub-seasonal predictions of S2S project models<\/a><\/td>\n3<\/td>\n<\/tr>\n
B28<\/td>\nLuong Thang (King Abdullah University of Science and Technology)<\/td>\nPredictability of Sub-seasonal Rainfall in the Arabian Peninsula<\/a><\/td>\n4<\/td>\n<\/tr>\n
B29<\/td>\nDavid Martin Straus (George Mason University)<\/td>\nThe Predictability of the South Asian Summer Monsoon Intra-Seasonal Variability (Active-Break Cycle) from re-forecasts of the ECMWF ensemble prediction system at three resolutions.<\/a><\/td>\n3<\/td>\n<\/tr>\n
B30<\/td>\nErik W. Kolstad (NORCE, Bjerknes Centre for Climate Research)<\/td>\nDrivers of S2S Forecast Errors of the East African Short Rains<\/a><\/td>\n4<\/td>\n<\/tr>\n
B31<\/td>\nWeihua Jie (CMA Earth System Modeling and Prediction Center (CEMC))<\/td>\nHow to Choose Credible Ensemble Members for the Sub-seasonal to Seasonal Prediction of Precipitation?<\/a><\/td>\n3<\/td>\n<\/tr>\n
B32<\/td>\nDominik B\u00fceler (ETH Zurich)<\/td>\nExtended-range warnings for heatwaves in Switzerland (HEATaware)<\/a><\/td>\n4<\/td>\n<\/tr>\n
B33<\/td>\nAmulya Chevuturi (UKCEH)<\/td>\nImproving global hydrological simulations through bias-correction and multi-model blending<\/a><\/td>\n3<\/td>\n<\/tr>\n
B34<\/td>\nNurdeka Hidayanto (Indonesian Agency for Meteorological, Climatological and Geophysics)
\nPresented by Donaldi Permana (BMKG)<\/em><\/td>\n		Improving Sub-seasonal to Seasonal Model Performance in The Tropics Using a Machine Learning Approach<\/a><\/td>\n4<\/td>\n<\/tr>\n
B35<\/td>\nAnnie Y.-Y. Chang (ETH Zurich)<\/td>\nSub-seasonal drought forecasting in the European Alps with EFAS data in a machine-learning-aided hybrid approach<\/a><\/td>\n3<\/td>\n<\/tr>\n
B36<\/td>\nHui-Ling Chang (Central Weather Bureau)<\/td>\nAnalog Post-processing of Week 2-3 Probabilistic Precipitation Forecasts over Taiwan<\/a><\/td>\n4<\/td>\n<\/tr>\n
B37<\/td>\nSem Vijverberg (Vrije Universiteit, Institute for Environmental Studies)<\/td>\nIntroducing the AI4S2S project; open-source python packages to make data-driven pipelines for S2S forecasting more efficient, transparent, and scalable<\/a><\/td>\n3<\/td>\n<\/tr>\n
B38<\/td>\nPhilippe Peyrille (CNRM, Meteo-France)<\/td>\nAdded value of analysing tropical waves and precipitable water for subseasonal forecast in West Africa : the MISVA platform<\/a><\/td>\n4<\/td>\n<\/tr>\n
B39<\/td>\nDiego A. Campos D\u00edaz (Direccion Meteorologica de Chile)<\/td>\nOn the next generation (NextGen) seasonal precipitation forecast in Chile<\/a><\/td>\n3<\/td>\n<\/tr>\n
B40<\/td>\nPascal Oettli (Center for Environmental Remote Sensing (CEReS), Chiba University)<\/td>\nThe value of machine learning to improve seasonal forecasting in mid-latitudes: The example of surface air temperature in central Japan<\/a><\/td>\n4<\/td>\n<\/tr>\n
B41<\/td>\nZhou Yang (Nanjing University of Information Science and Technology)<\/td>\nHow Can Quasi-Periodic Signals Privilege S2S Operational Forecast? From a Perspective of Deep Learning<\/a><\/td>\n3<\/td>\n<\/tr>\n
B42<\/td>\nJoshua Talib (UKCEH)<\/td>\nCo-producing sub-seasonal warnings of meningitis outbreaks<\/a><\/td>\n3<\/td>\n<\/tr>\n
B43<\/td>\nKamoru Abiodun Lawal (African Centre of Meteorological Applications for Development (ACMAD))<\/td>\nProgress and Challenges of Demand-Led Co-Produced Sub-Seasonal-to-Seasonal (S2S) Climate Forecasts in Nigeria<\/a><\/td>\n3<\/td>\n<\/tr>\n
B44<\/td>\nFabian Mockert (Institute of Meteorology and Climate Research (IMK-TRO), Department Troposphere Research, Karlsruhe Institute of Technology (KIT))<\/td>\nWeather regimes: A window of sub-seasonal forecast opportunity for periods of low renewable electricity generation in Germany?<\/a><\/td>\n4<\/td>\n<\/tr>\n
B45<\/td>\nValentina Pavan (Arpae-Simc)<\/td>\nSub-seasonal ensemble irrigation forecasts in Emilia-Romagna<\/a><\/td>\n3<\/td>\n<\/tr>\n
B46<\/td>\nPauline Rivoire (Institute of Earth Surface Dynamics, University of Lausanne)<\/td>\nForecasting hydrometeorological drivers of forest damage over Europe<\/a><\/td>\n4<\/td>\n<\/tr>\n
B47<\/td>\nVictor Indasi (ACMAD)<\/td>\nThe Need for sustained provision S2S forecast products: African Perspective.<\/a><\/td>\n3<\/td>\n<\/tr>\n
B48<\/td>\nMary Nyambur Kilavi (Kenya Meteorological Department)<\/td>\nReflections on the development and use of S2S products in Kenya<\/a><\/td>\n4<\/td>\n<\/tr>\n
B49<\/td>\nYuxian Pan (Beijing Normal University)<\/td>\nSkillful seasonal prediction of summer wildfires over Central Asia<\/a><\/td>\n3<\/td>\n<\/tr>\n
B50<\/td>\nChristoph Spirig (Federal Office of Meteorology and Climatology, MeteoSwiss)
\nPresented by Adel Imamovic (MeteoSwiss)<\/em><\/td>\n		Towards an early warning system for droughts in Switzerland<\/a><\/td>\n4<\/td>\n<\/tr>\n
B51<\/td>\nPatricia Nying’uro (Kenya Meteorological Department)<\/td>\nUse of S2S forecast products in Kenya; Application for NHMSs forecast producers & for the Energy Sector.<\/a><\/td>\n3<\/td>\n<\/tr>\n
B52<\/td>\nMark Rhodes-Smith (UK Centre for Ecology and Hydrology)<\/td>\nUK Hydrological Outlook: Operational river flow forecasting using spatially-distributed seasonal rainfall forecasts<\/a><\/td>\n4<\/td>\n<\/tr>\n
B53<\/td>\nVictoria L. Boult (University of Reading)<\/td>\nS2S Forecasts for Biodiversity Conservation<\/a><\/td>\n3<\/td>\n<\/tr>\n
B54<\/td>\nSylvie Malardel (Laboratoire de l’Atmosph\u00e8re et des Cyclones (LACy))<\/td>\nPISSARO: a collaborative and user-oriented project on the monthly forecasting of extreme events in the southwest Indian Ocean<\/a><\/td>\n4<\/td>\n<\/tr>\n
B55<\/td>\nNeil Hart (University of Oxford)<\/td>\nWhen on-ground decision making shapes S2S prediction research pathways<\/a><\/td>\n3<\/td>\n<\/tr>\n
S1<\/td>\nHyung-Jin Kim (Head, Climate Prediction Department, APEC Climate Center)<\/td>\n\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Return to Sessions Overview<\/a>[\/vc_column_text][\/vc_tta_section][\/vc_tta_tabs][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/6″][vc_single_image image=”344″ img_size=”full” onclick=”custom_link” link=”http:\/\/s2sprediction.net\/”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”345″ img_size=”full” onclick=”custom_link” link=”https:\/\/public.wmo.int\/en”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”346″ img_size=”full” onclick=”custom_link” link=”https:\/\/community.wmo.int\/activity-areas\/wwrp”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”347″ img_size=”full” onclick=”custom_link” link=”https:\/\/www.wcrp-climate.org\/”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”348″ img_size=”full”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”349″ img_size=”full” onclick=”custom_link” link=”https:\/\/www.reading.ac.uk\/”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_column_text] Conference programme Schedule of Oral and Poster Presentations. All timings listed are local UK time (British Summer Time; BST; UTC+1). In the detailed programmes (orals\/posters), click on the title…Read More ><\/a><\/p>\n","protected":false},"author":145,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"__cvm_playback_settings":[],"__cvm_video_id":"","footnotes":""},"coauthors":[13,11],"class_list":["post-528","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - WWRP\/WCRP S2S Summit 2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - WWRP\/WCRP S2S Summit 2023\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][vc_column_text] Conference programme Schedule of Oral and Poster Presentations. 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