Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Using seasonal forecasts to estimate current climate.

Slides:



Advertisements
Similar presentations
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Extended range forecasts at MeteoSwiss: User experience.
Advertisements

LRF Training, Belgrade 13 th - 16 th November 2013 © ECMWF Sources of predictability and error in ECMWF long range forecasts Tim Stockdale European Centre.
ECMWF long range forecast systems
WCRP OSC 2011: Strategies for improving seasonal prediction © ECMWF Strategies for improving seasonal prediction Tim Stockdale, Franco Molteni, Magdalena.
© Crown copyright Met Office The Met Office high resolution seasonal prediction system Anca Brookshaw – Monthly to Decadal Variability and Prediction,
Climatology and Climate Change in Athena Simulations Project Athena Team ECMWF, June 7, 2010.
1 Research activities Climate Services & NCCR Christof Appenzeller et al. Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Improving COSMO-LEPS forecasts of extreme events with.
1 Seasonal Forecasts and Predictability Masato Sugi Climate Prediction Division/JMA.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Institut für Physik der Atmosphäre On the Value of.
Some Discussion Points What metrics should be used for comparing observations? What distributional metrics could readily be used? Is anybody playing with.
Enhanced seasonal forecast skill following SSWs DynVar/SNAP Workshop, Reading, UK, April 2013 Michael Sigmond (CCCma) John Scinocca, Slava Kharin.
Experimental Real-time Seasonal Hydrologic Forecasting Andrew Wood Dennis Lettenmaier University of Washington Arun Kumar NCEP/EMC/CMB presented: JISAO.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz New automatic weather type classifications at MeteoSwiss.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Long records of weather measurements at Jungfraujoch.
Seamless precipitation prediction skill in a global model: Actual versus potential skill Matthew Wheeler 1, Hongyan Zhu 1, Adam Sobel 2, and Debra Hudson.
© Crown copyright Met Office Andrew Colman presentation to EuroBrisa Workshop July Met Office combined statistical and dynamical forecasts for.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Automating Peak-over- Threshold with the Information.
Andreas Fischer, Mark Liniger
1 Assessment of the CFSv2 real-time seasonal forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Seamless prediction Opportunities and Challenges Matthew Wheeler 1, Hongyan Zhu 1, Adam Sobel 2, Debra Hudson 1 and Griff Young 1 The Centre for Australian.
NCPP – needs, process components, structure of scientific climate impacts study approach, etc.
Verification Precipitation verification (overestimation): a common view of the behaviour of the LM, aLMo and LAMI Francis Schubiger and Pirmin Kaufmann,
The high resolution in seasonal climate predictions with EC-Earth François Massonnet C. Prodhomme, L. Batté, V. Guemas, F. J. Doblas-Reyes Polar Predictability.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Statistical Characteristics of High- Resolution COSMO.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz CH2018 – Meeting Communication Aspects Andreas Fischer,
Experimental seasonal hydrologic forecasting for the Western U.S. Dennis P. Lettenmaier Andrew W. Wood, Alan F. Hamlet Climate Impacts Group University.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Red - ECMWF Green - Sintex Navy - POAMA-2.0.
EUROBRISA Workshop – Beyond seasonal forecastingBarcelona, 14 December 2010 INSTITUT CATALÀ DE CIÈNCIES DEL CLIMA Beyond seasonal forecasting F. J. Doblas-Reyes,
Regional Climate Simulations of summer precipitation over the United States and Mexico Kingtse Mo, Jae Schemm, Wayne Higgins, and H. K. Kim.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Pollen emission in COSMO-ART COSMO User Workshop
EUROBRISA WORKSHOP, Paraty March 2008, ECMWF System 3 1 The ECMWF Seasonal Forecast System-3 Magdalena A. Balmaseda Franco Molteni,Tim Stockdale.
MODEL OUTPUT STATISTICS (MOS) TEMPERATURE FORECAST VERIFICATION JJA 2011 Benjamin Campbell April 24,2012 EAS 4480.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss European wind storms and reinsurance loss: New estimates.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Accounting for Change: Local wind forecasts from the high-
1 An overview of the use of reforecasts for improving probabilistic weather forecasts Tom Hamill NOAA / ESRL, Physical Sciences Div.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Cost Efficient Use of COSMO-LEPS Reforecasts Felix Fundel,
Probabilistic Forecasting. pdfs and Histograms Probability density functions (pdfs) are unobservable. They can only be estimated. They tell us the density,
ENSEMBLES RT4/RT5 Joint Meeting Paris, February 2005 Overview of the WP5.3 Activities Partners: ECMWF, METO/HC, MeteoSchweiz, KNMI, IfM, CNRM, UREAD/CGAM,
1 Objective Drought Monitoring and Prediction Recent efforts at Climate Prediction Ct. Kingtse Mo & Jinho Yoon Climate Prediction Center.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Local Probabilistic Weather Predictions for Switzerland.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz First Experience with KENDA at MeteoSwiss Daniel Leuenberger,
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Verification and Metrics (CAWCR)
How well are Southern Hemisphere teleconnection patterns predicted by seasonal climate models? The return!! Rosmeri P. da Rocha and Tércio Ambrizzi University.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss A more reliable COSMO-LEPS F. Fundel, A. Walser, M. A.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Statistics of COSMO Forecast Departures in View of.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Climate Change Scenarios for the CH2011 Initiative NCCR.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz The new multi-layer snow model Guy de Morsier 1, Jean-Marie.
© Crown copyright Met Office Seasonal forecasting: Not just seasonal averages! Emily Wallace November 2012.
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Huug van den Dool and Suranjana Saha Prediction Skill and Predictability in CFS.
Judith Curry James Belanger Mark Jelinek Violeta Toma Peter Webster 1
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Assessing the skill of decadal predictions Reidun Gangstø,
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Weather type dependant fuzzy verification of precipitation.
Long-lead streamflow forecasts: 2. An approach based on ensemble climate forecasts Andrew W. Wood, Dennis P. Lettenmaier, Alan.F. Hamlet University of.
CT2 : Assessing sources of uncertainty in ocean analysis and forecasts We consider the structural sources of uncertainty generic to all practical forecasting.
Predictability of Monthly Mean Temperature and Precipitation: Role of Initial Conditions Mingyue Chen, Wanqiu Wang, and Arun Kumar Climate Prediction Center/NCEP/NOAA.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Ensemble activites and plans at MeteoSwiss André Walser.
Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Statistics of COSMO Forecast Departures in View of.
International Workshop on Monthly-to-Seasonal Climate Prediction National Taiwan Normal Univ., October 2003 Evaluation of the APCN Multi-Model Ensemble.
SAL - Structure, Ampliutde, Location
A BAYESIAN ENSEMBLE METHOD FOR CLIMATE CHANGE PROJECTION
ECMWF activities: Seasonal and sub-seasonal time scales
Precipitation variability over Arizona and
GloSea4: the Met Office Seasonal Forecasting System
Environment Canada Monthly and Seasonal Forecasting Systems
Decadal Climate Prediction at BSC
Ryan Kang, Wee Leng Tan, Thea Turkington, Raizan Rahmat
Presentation transcript:

Eidgenössisches Departement des Innern EDI Bundesamt für Meteorologie und Klimatologie MeteoSchweiz Using seasonal forecasts to estimate current climate Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig

2 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Estimates that are purely model based (e.g. RCMs or ESMs) -Limited relevance (systematic errors) -No ‘translation’ problems -Large sample Estimates that are purely based on observations -Relevance (real world) -Not seamless (models vs. obs.) -Limited sample size How to estimate current climate? Climate Change in Australia, 2015 RCP8.5 RCP4.5 RCP2.6 RCP0.0 ? Seasonal forecasts?

3 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Seasonal forecast fundamentals ECMWF System4 (older version of current NWP model) NEMO 1 x 1, IFS 36r4 (T255L91, ~ 0.7 x 0.7) Initialized on 1 st of every month 51 ensemble members 215 forecast days (7 months) 30+ years of hindcasts present

4 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Potential predictability

5 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Bias correction is necessary Mean de-biasing with smoothing of observed climatology (Mahlstein et al. 2015) Empirical quantile mapping

6 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Use SFC to estimate current climate Summer 2003

7 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Estimates of indices Heat days (tmax > 30)Ice days (tmax < 0) Consecutive dry daysMaximum 1-day precip.

8 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Statistical and internal variability uncertainty Simple mean de-biasing is not enough

9 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Statistical and internal variability uncertainty

10 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Summary and Outlook Lack of skill  SFC sample climatology (mainly) Bias correction necessary  circular reasoning? Large ensemble size adds to improved estimates Trade off between placing trust in the model (seasonal forecasts) and trust in the (few) observations No published literature on using SFC as surrogate climate

12 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Skill (2AFC) tasmax JJA tasmax DJF pr DJFpr JJA no resolution perfect discrimination

13 Using seasonal forecasts to estimate the current climate | CH2018 Workshop Jonas Bhend, Mark Liniger, Andreas Fischer, Christoph Spirig Visualization