Nordic weather extremes as simulated by the Rossby Centre Regional Climate Model: model evaluation and future projections

Similar documents
Projection Results from the CORDEX Africa Domain

Annex I to Target Area Assessments

Production and use of CORDEX projections a Swedish perspective on building climate services in practice

Extreme Value Theory to analyse, validate and improve extreme climate projections

100 ANALYSIS OF PRECIPITATION-RELATED CLIMATE INDICES PROJECTED FOR CENTRAL/EASTERN EUROPE USING BIAS-CORRECTED ENSEMBLES SIMULATIONS

Regional Climate Simulations with WRF Model

ENSEMBLES multimodel simulations forced by ERA40: Analysis of CLM results

Regional climate modelling in the future. Ralf Döscher, SMHI, Sweden

A critical remark on the applicability of E OBS European gridded temperature data set for validating control climate simulations

Re-analysis activities at SMHI

Enhanced Confidence in Regional Climate Projections from Dynamical Down Scaling

How reliable are selected methods of projections of future thermal conditions? A case from Poland

Climate Change and Runoff Statistics in the Rhine Basin: A Process Study with a Coupled Climate-Runoff Model

Water Balance in the Murray-Darling Basin and the recent drought as modelled with WRF

Application and verification of ECMWF products 2017

Climate Downscaling 201

Use of climate reanalysis for EEA climate change assessment. Blaz Kurnik. European Environment Agency (EEA)

Deliverable C.2: Report on historical data trends and climate change projections for the greater urban areas of interest

Time-slice experiments

AMOC Response to Climate Change: Questions after TRACE21

Accessing CORDEX data via the Earth System Grid Federa:on ESGF. Grigory Nikulin Swedish Meteorological and Hydrological Ins5tute

Can a regional climate model reproduce observed extreme temperatures? Peter F. Craigmile

SUPPLEMENTARY INFORMATION

CLIMATE CHANGE DATA PROJECTIONS FOR ONTARIO AND THE GREAT LAKES BASIN

Probability distributions of monthly-to-annual mean temperature and precipitation in a changing climate

EXPERT MEETING TO ASSESS PROGRESS MADE IN THE PROCESS TO FORMULATE AND IMPLEMENT ANATIONAL ADAPTATION PANS (NAPs)

INVESTIGATING THE SIMULATIONS OF HYDROLOGICAL and ENERGY CYCLES OF IPCC GCMS OVER THE CONGO AND UPPER BLUE NILE BASINS

Multi-model approach for projecting future climate change conditions in Central Vietnam

A downscaling and adjustment method for climate projections in mountainous regions

Water Stress, Droughts under Changing Climate

Temporal validation Radan HUTH

How to make projections of daily-scale temperature variability in the future: a cross-validation study using the ENSEMBLES regional climate models

SUPPLEMENTARY INFORMATION

72 MULTI-MODEL APPROACH FOR PROJECTING EXTREMES RELATED TO THE LACK AND EXCESS OF PRECIPITATION IN CENTRAL/EASTERN EUROPE


Southern Hemisphere Storminess under recent and anthropogenic climate conditions based on a multi model ensemble analysis

The importance of sampling multidecadal variability when assessing impacts of extreme precipitation

Enhanced summer convective rainfall at Alpine high elevations in response to climate warming

J1.7 SOIL MOISTURE ATMOSPHERE INTERACTIONS DURING THE 2003 EUROPEAN SUMMER HEATWAVE

Advances in Statistical Downscaling of Meteorological Data:

Downscaled Climate Change Projection for the Department of Energy s Savannah River Site

REQUEST FOR A SPECIAL PROJECT

Climate Change Models: The Cyprus Case

ICRC-CORDEX Sessions A: Benefits of Downscaling Session A1: Added value of downscaling Stockholm, Sweden, 18 May 2016

Validation of Climate Models Using Ground-Based GNSS Observations. Dep. of Earth and Space Sciences, Onsala Space Observatory, SE Onsala

ANALYSIS OF PROJECTED CLIMATE CHANGE FOR HUNGARY USING ENSEMBLES SIMULATIONS

Regional Climate Change Modeling: An Application Over The Caspian Sea Basin. N. Elguindi and F. Giorgi The Abdus Salam ICTP, Trieste Italy

Paul W. Stackhouse, Jr., NASA Langley Research Center

The Implication of Ural Blocking on the East Asian Winter Climate in CMIP5 Models

Impacts of aerosols in the CORDEX-Europe domain using the regional aerosol-climate model REMO-HAM

Detection and Attribution of Climate Change. ... in Indices of Extremes?

Confronting Climate Change in the Great Lakes Region. Technical Appendix Climate Change Projections CLIMATE MODELS

Southern New England s Changing Climate. Raymond S. Bradley and Liang Ning Northeast Climate Science Center University of Massachusetts, Amherst

Andrey Martynov 1, René Laprise 1, Laxmi Sushama 1, Katja Winger 1, Bernard Dugas 2. Université du Québec à Montréal 2

Impacts of the climate change on the precipitation regime on the island of Cyprus

THE PACIFIC DECADAL OSCILLATION, REVISITED. Matt Newman, Mike Alexander, and Dima Smirnov CIRES/University of Colorado and NOAA/ESRL/PSD

Regional Climate Model (RCM) data evaluation and post-processing for hydrological applications

An Initial Estimate of the Uncertainty in UK Predicted Climate Change Resulting from RCM Formulation

S e a s o n a l F o r e c a s t i n g f o r t h e E u r o p e a n e n e r g y s e c t o r

Climate change projections for Switzerland based on a Bayesian multi-model approach

SPECIAL PROJECT FINAL REPORT

Maria João Carvalho (1,2), Paulo de Melo-Gonçalves (1), Alfredo Rocha (1) Aveiro Campus de Santiago, Aveiro.

On the robustness of changes in extreme precipitation over Europe from two high resolution climate change simulations

TRENDS AND CHANGE IN CLIMATE OVER THE VOLTA RIVER BASIN

Evaluation of the IPSL climate model in a weather-forecast mode

/ Rossby Centre RCAO, a coupled atmosphere ice ocean land model of the Arctic

On the critical need for mountain observatories to monitor and detect amplified climate change in British Columbia (BC) s Mountains

STI for Climate Extremes

Regionalización dinámica: la experiencia española

Operational event attribution

Validation of satellite derived snow cover data records with surface networks and m ulti-dataset inter-comparisons

Heavier summer downpours with climate change revealed by weather forecast resolution model

Erik Kabela and Greg Carbone, Department of Geography, University of South Carolina

CLIMATE CHANGE & CRITICAL RESOURCES. Iratxe González-Aparicio Tlfn:

A Concept to Assess the Performance. with a Climate Model

Supplementary Figure S1: Uncertainty of runoff changes Assessments of. R [mm/yr/k] for each model and the ensemble mean.

Model error and seasonal forecasting

The ECMWF prototype for coupled reanalysis. Patrick Laloyaux

Climate Variables for Energy: WP2

1.0 Implications of using daily climatological wind speed prior to 1948

DNV GL s empirical icing map of Sweden and methodology for estimating annual icing losses

C Y P A D A P T. M. Petrakis C. Giannakopoulos G. Lemesios.

Metrics used to measure climate extremes

SUPPLEMENTARY INFORMATION

Ensemble analysis of frost damage on vegetation caused by spring backlashes in a warmer Europe

Application and verification of ECMWF products 2011

Drought Trends and Projections (Drought trends over and projections until 2100)

5 An indicator-based assessment

Uta Gjertsen 1 and Günther Haase 2. Norwegian Meteorological Institute, Oslo, Norway

The use of marine data for attribution of climate change and constraining climate predictions

The Projection of Temperature and Precipitation over Bangladesh under RCP Scenarios using CMIP5 Multi-Model Ensemble

Application and verification of ECMWF products 2015

Climate variability and changes at the regional scale: what we can learn from various downscaling approaches

Gennady Menzhulin, Gleb Peterson and Natalya Shamshurina

Verification of different wind gust parametrizations Overview of verification results at MeteoSwiss in the year 2012

The 20th century warming and projections for the 21st century climate in the region of the Ukrainian Antarctic station Akademik Vernadsky

Predicting climate extreme events in a user-driven context

Julie A. Winkler. Raymond W. Arritt. Sara C. Pryor. Michigan State University. Iowa State University. Indiana University

The CLIMGEN Model. More details can be found at and in Mitchell et al. (2004).

Climate Summary for the Northern Rockies Adaptation Partnership

Transcription:

Nordic weather extremes as simulated by the Rossby Centre Regional Climate Model: model evaluation and future projections Grigory Nikulin, Erik Kjellström, Ulf Hansson, Gustav Strandberg and Anders Ullerstig Rossby Centre Swedish Meteorological and Hydrological Institute We acknowledge the climate dataset from the EU-FP6 project ENSEMBLES (http://www.ensembles-eu.org) and the data providers in the ECA&D project (http://eca.knmi.nl)

Objectives an ensemble: one regional climate model driven by different global climate models evaluation of the simulated temperature, precipitation and wind extremes over Scandinavia projected climate changes in Nordic extremes degree of dependency of the simulated temperature, precipitation and wind extremes on driving global climate models Nikulin et al., Tellus A 2010, accepted

Models Regional climate model RCA3 (Rossby Centre, SMHI, Sweden) Europe, resolution: 50 km Reference simulation driven by ERA40 Reanalysis Forcing global models (A1B) ECHAM5-r3 (MPI, Germany) HadCM3-ref (MOHC, UK) BCM (NERSC, Norway) CCSM3 (NCAR, USA) CNRM (CNRM, France) IPSL (IPSL, France)

Data and method Variables (daily) max and min 2m temperature max 10m gust wind (Brasseur 2001 ) accumulated precipitation Extreme events the generalised extreme value (GEV) distribution the 20-year return values of annual max/min temperature and max gust wind summer and winter maximum of precipitation fitting the GEV: stationary model, L-moments statistical tests: parametric bootstrap Observations gridded E-OBS data set (ver. 1.1) (Haylock et al., 2008)

Evaluation of warm extremes (1961-1990) the key role of the driving GCMs over central Europe 20-yr. return values of T2max strong underestimation of warm extremes over Scandinavia (large lake+forest fraction )

Warm extremes on open land (1961-1990) 20-yr. return values of T2max Open-land T2max intermediate version of RCA35 Potential problem for model evaluation over Scandinavia: a large fraction of forest and lakes but the observations represent open-land temperature

Evaluation of cold extremes (1961-1990) biases of opposite sign among simulations show the key role of the driving GCMs in winter 20-yr. return values of T2min Scandinavia: warm bias in the reference simulation RCA3(ERA40) common cold bias over the Scandinavian Mountains the ensemble mean bias is smaller comparing to the RCA3(ERA40) run

Climate change in warm extremes 20-yr ret. val. of T2max CTL: 1961-1990 SCN: 2071-2100 all simulations show an intensification of warm extremes varying magnitude and spatial pattern

Climate change in cold extremes 20-yr ret. val. of T2min CTL: 1961-1990 SCN: 2071-2100 all simulations show a strong reduction of cold extremes varying magnitude

Recurrence time of CTL extremes in SCN ENSEMBLE MEAN CTL: 1961-1990 SCN: 2071-2100 warm extremes (once in 20 years in CTL) may occur every second year in SCN cold extremes may almost disappear ( once in several hundred years )

Evaluation of precipitation extremes a complex structure of biases in precipitation extremes P max,20 Summer (1961-1990) Common features: overestimation of precipitation extremes too intense precipitation extremes in northern Scandinavia (close to the boundary relaxation zone, a few observational stations) biases < 20-30% are not significant at the 10% sig. level

Evaluation of precipitation extremes P max,20 Winter (1961-1990) underestimation over mountain slopes in southern Scandinavia overestimation in northern Scandinavia biases < 20-30% are not significant at the 10% sig. level

Climate change in precipitation extremes P max,20 Summer CTL: 1961-1990 SCN: 2071-2100 individual simulations: an common intensification of precipitation extremes ensemble mean: significant increase (larger than 10%) in intense precipitation over the whole Scandinavia

Climate change in precipitation extremes P max,20 Winter CTL: 1961-1990 SCN: 2071-2100 individual simulations: an common intensification of precipitation extremes ensemble mean: significant increase (larger than 10%) in intense precipitation over the whole Scandinavia

Climate change in precipitation extremes ENSEMBLE MEAN CTL: 1961-1990 SCN: 2071-2100 Recurrence time recurrence time of intense precipitation reduces from 20 years in CTL to 6-10 years in SCN in summer and to 2-4 years in winter

Evaluation of wind extremes 20-yr. return values of gust wind (1961-1990) large spread among the simulations individual simulations can locally differ by 10 m/s

Climate change in wind extremes 20-yr ret. val. of W max CTL: 1961-1990 SCN: 2071-2100 strengthening of extreme gust winds over the Barents Sea (reduction in sea ice ) a tendency to strengthening of wind extremes over the Baltic Sea ensemble mean is sensitive to the number of simulations in the ensemble

Conclusions Simulated Weather Extremes over Scandinavia in Regional Climate Model RCA3 CONTROL PERIOD (1961-1990) strong underestimation of warm extremes (open-land observation and grid box average model, not sensitive to driving GCMs) the key role of driving GCMs in the simulated cold extremes a general overestimation of precipitation extremes for all simulations a large spread among the simulations driven be different GCMs in wind extremes FUTURE CHANGES (2071-2100) all simulations show an intensification of warm extremes and strong reduction of cold extremes (not so sensitive to a choice of driving GCMs) a common intensification of precipitation extremes in both winter and summer (not so sensitive to a choice of driving GCMs) strengthening of wind extremes over the Barents and Baltic sea (very sensitive to driving GCMs )