Difficulties in selecting the most appropriate model setup of RegCM for the Pannonian region with a special focus on precipitation

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

591 REGIONAL CLIMATE MODEL EXPERIMENT USING REGCM SUBGRIDDING OPTIONS IN THE FRAMEWORK OF MED-CORDEX

PROJECTED CHANGES OF EXTREME RUNOFF CHARACTERISTICS UNDER CLIMATE CHANGE CONDITIONS CASE STUDY FOR A CENTRAL/EASTERN EUROPEAN CATCHMENT

performance EARTH SCIENCE & CLIMATE CHANGE Mujtaba Hassan PhD Scholar Tsinghua University Beijing, P.R. C

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

Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections

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

Precipitation processes in the Middle East

130 PAST AND FUTURE HEAT WAVES IN CENTRAL/EASTERN EUROPE - CASE STUDY FOR HUNGARY USING PRECIS SIMULATIONS

Submitted to Climate Dynamics Med-CORDEX special issue

Faisal S. Syed, Shahbaz M.,Nadia R.,Siraj I. K., M. Adnan Abid, M. Ashfaq, F. Giorgi, J. Pal, X. Bi

Studies on adaptation capacity of Carpathian ecosystems/landscape to climate change

Sensitivity Study of Different RegCM4.4 Model Set-Ups Recent Results from the TVRegCM Experiment

Research Article CECILIA Regional Climate Simulations for Future Climate: Analysis of Climate Change Signal

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

REGIONAL CLIMATE CHANGE EXPECTED IN HUNGARY FOR

Investigating the urban climate characteristics of two Hungarian cities with SURFEX/TEB land surface model

Climate Modeling: From the global to the regional scale

Regional Climate Simulations with WRF Model

Evidence for Weakening of Indian Summer Monsoon and SA CORDEX Results from RegCM

Summary and concluding remarks

Climate change outlook over the Mediterranean from the science respective

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

FUTURE CHANGES IN EXTREME TEMPERATURE INDICES IN CLUJ-NAPOCA, ROMANIA

MONITORING AND THE RESEARCH ON METEOROLOGICAL DROUGHT IN CROATIA

Solar and wind energy resources of the Eger Region

Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models

Does dynamical downscaling introduce novel information in climate model simulations of precipitation change over a complex topography region?

A Climatic Utility Index for the Analysis of the Expected Changes of Cherry and Sour Cherry Production in Central Hungary, Regarding Climate Change

MODELING PRECIPITATION OVER COMPLEX TERRAIN IN ICELAND

Deliverable: D3.6. Description of the. final version of all gridded data sets of the climatology of the Carpathian Region

The role of the Himalaya and the Tibetan Plateau for the Indian Monsoon

Future extreme precipitation events in the Southwestern US: climate change and natural modes of variability

Climate Dataset: Aitik Closure Project. November 28 th & 29 th, 2018

CORDEX Simulations for South Asia

Malawi. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1

Mean, interannual variability and trends in a regional climate change experiment over Europe. II: climate change scenarios ( )

Simulation of Air Quality Using RegCM Model

Planetary boundary layer schemes in RegCM: evaluation and impact on the climate change signal over Europe and Mediterranean region

Mozambique. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1

Some details about the theoretical background of CarpatClim DanubeClim gridded databases and their practical consequences

GLOBAL WARMING INDUCED CHANGES IN THE MEANS AND EXTREMITIES OF TEMPERATURE AND PRECIPITATION IN HUNGARY

Effects of sub-grid variability of precipitation and canopy water storage on climate model simulations of water cycle in Europe

Eun-Soon Im Æ Won-Tae Kwon Æ Joong-Bae Ahn Æ Filippo Giorgi

ANALYSIS OF URBAN LOCAL CLIMATE USING IN-SITU MEASUREMENTS

Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics

The Texas drought. Kingtse Mo Climate Prediction Center NWS/NCEP/NOAA

Regional dry-season climate changes due to three decades of Amazonian deforestation

Development of a national strategy for adaptation to climate change adverse impacts in Cyprus CYPADAPT LIFE10 ENV/CY/000723

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

Comparison of Convection Characteristics at the Tropical Western Pacific Darwin Site Between Observation and Global Climate Models Simulations

Regional climate downscaling for the Marine and Tropical Sciences Research Facility (MTSRF) between 1971 and 2000

István Ihász, Máté Mile and Zoltán Üveges Hungarian Meteorological Service, Budapest, Hungary

European Drought Events (Database of meteorological drought events)

Tropical Cyclones in a regional climate change projections with RegCM4 over Central America CORDEX domain

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

Introduction of Dynamical Regional Downscaling (DSJRA-55) Using the JRA-55 Reanalysis and Discussion for Possibility of its Practical Use

Changes in Daily Climate Extremes of Observed Temperature and Precipitation in China

High resolution spatiotemporal distribution of rainfall seasonality and extreme events based on a 12-year TRMM time series

Climate Classification

Energy Systems, Structures and Processes Essential Standard: Analyze patterns of global climate change over time Learning Objective: Differentiate

Climate change impact on precipitation for the Amazon and La Plata basins

Assessment of Temperature Scenarios for Chhattisgarh by using RegCM

WRF high resolution simulation of Iberian mean and extreme precipitation climate

NEW ALGORITHM TO IMPROVE THE CLOUDINESS DATA SET OVER EASTERN PART OF ROMANIA *

Projected changes in climate extremes over China in the 21st century from a high resolution regional climate model (RegCM3)

The skill of ECMWF cloudiness forecasts

NOTES AND CORRESPONDENCE The Skillful Time Scale of Climate Models

Precipitation in climate modeling for the Mediterranean region

Application and verification of ECMWF products 2015

Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development

Evaluating the uncertainty in gridded rainfall datasets over Eastern Africa for assessing the model performance and understanding climate change

Grant Agreement No.: SafeLand. Living with landslide risk in Europe: Assessment, effects of global change, and risk management strategies

Aiguo Dai * and Kevin E. Trenberth National Center for Atmospheric Research (NCAR) $, Boulder, CO. Abstract

Enabling Climate Information Services for Europe

ANALYSIS OF PROJECTED CLIMATE CHANGE FOR HUNGARY USING ENSEMBLES SIMULATIONS

3. Estimating Dry-Day Probability for Areal Rainfall

Challenges of convection-permitting regional climate simulations for future climate projection in Japan

A Quick Report on a Dynamical Downscaling Simulation over China Using the Nested Model

Analysis of the Hydrologic Cycle in the Community Atmosphere Model

DYNAMICAL DOWNSCALING OF COUPLED MODEL HISTORICAL RUNS

FUTURE CARIBBEAN CLIMATES FROM STATISTICAL AND DYNAMICAL DOWNSCALING

Convection Permitting Simulation of Extreme Precipitation Events Lessons Learned

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

A brief overview of the scheme is given below, taken from the whole description available in Lopez (2002).

The Roles of Anthropogenic Aerosols in Future Projections of Extreme Summer Precipitation over the Asian Monsoon Region

ATMOSPHERIC MODEL. Iracema Fonseca Albuquerque Cavalcanti

Application and verification of ECMWF products 2013

Consistent changes in twenty-first century daily precipitation from regional climate simulations for Korea using two convection parameterizations

Prentice Hall EARTH SCIENCE

Regional climate model projections for the State of Washington

Implementation and validation of the. ECMWF IFS convection scheme. in COSMO-CLM. Peter Brockhaus. Daniel Lüthi. Christoph Schär

COUPLING A DISTRIBUTED HYDROLOGICAL MODEL TO REGIONAL CLIMATE MODEL OUTPUT: AN EVALUATION OF EXPERIMENTS FOR THE RHINE BASIN IN EUROPE

Study of seasonal climatology and interannual variability over India and its subregions using a regional climate model (RegCM3)

Vladimir Djurdjević and Aleksandra Kržič A structured network for integration of climate knowledge into policy and territorial planning

Project of Strategic Interest NEXTDATA. Special Project RECCO

Meteorology. Chapter 15 Worksheet 1

RECENT CLIMATE CHANGE TRENDS

SC-WACCM! and! Problems with Specifying the Ozone Hole

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

Transcription:

Difficulties in selecting the most appropriate model setup of RegCM for the Pannonian region with a special focus on precipitation Tímea Kalmár, Ildikó Pieczka, Rita Pongrácz, Judit Bartholy Eötvös Loránd University, Hungary Challenges in meteorology 6; 15 16 November 2018 E-mail: kalmartimea@caesar.elte.hu

Outline Introduction Our domain RegCM4.5 and RegCM4.6 simulations and validation Results Precipitation Total precipitation Extreme indicates Convective and large-scale precipitation Temperature Summary Future plans

Introduction The Pannonian Basin is surrounded by the Carpathian Mountains and orographic differences are present within the basin itself Precipitation is one of the most important climatic variables, it depends on: Cloud microphysics Cumulus convection Large-scale circulation Planetary boundary layer processes Orography The main goal is to improve the reconstruction of the historical regional precipitation characteristics for the Pannonian region In this study RegCM4.5 and RegCM4.6 are used to compare different approaches (hydrostatic and non-hydrostatic) and parameterizations (SUBEX and NogTom - new microphysics scheme)

Our domain 2. 1. 3. 4. The topography of the RegCM domain (m) Validation is shown for the eastern half of the RegCM integration domain covering the CarpatClim domain (indicated by solid black rectangle on the map) http://www.cordex.org/domains/region-12-mediterranean/ In addition four subregions were selected for more detailed validation: 1. Great Hungarian Plain 2. Tatra mountain 3. North-eastern part of Carpathian region 4. Southern part of Carpathian region

Description of validation data: CarpatClim Timeframe 1961-2010 Spatial range Gridded climatological datasets cover the area between latitudes 44 N and 50 N, and longitudes 17 E and 27 E Temporal resolution: 1 day Spatial resolution 0.1 x 0.1 Data Precipitation, temperature CarpatClim domain

RegCM4.5 and 4.6 simulations 4+4 simulations: 12.31.1979-01.01.1982, (1980: spin up) H_NogTom NogTom Torma et al., 2011 Modified SUBEX SUBEX Cloud to rain autoconversion rate 0.00025 0.0005 Raindrop evaporation rate coefficient 1.0 10-3 (kg m -2 s-1 ) -1/2 s-1 1.0 10-5 (kg m -2 s-1 ) Raindrop accretion rate 3 m 3 kg-1 s-1 6 m3 kg-1 s-1-1/2 s -1

RegCM4.6 RegCM4.5 Results precipitation (1981) 4.5_H_SUBEX 4.5_H_SUB4.3 4.5_H_NogTom 4.5_NH_SUBEX Seasonal mean errors JJA DJF 4.5: precipitation is overestimated over the Carpathians by ~50% 4.6_H_SUBEX 4.6_H_SUB4.3 4.6_H_NogTom 4.6_NH_SUBEX 4.5: underestimation over lowland in summer DJF 4.6: overestimations (~200%) JJA Precipitation bias (%) 4.6_NH_SUBEX precipitation pattern

Results monthly mean precipitation (1981) Lowland Tatra NE Carpathes S Carpathes Both versions overestimate the precipitation over mountains Differences between model versions are larger over the lowland than over mountainous areas 4.5: Annual cycle of simulations is similar to the observation (except over S-Carpathian region) 4.5: NH dynamical core produces more precipitation over mountains than the H dynamical core 4.6: large overestimation in summer 4.6: H_SUB4.3 seems to be the best

Daily precipitation intensity: empirical probability distribution functions (PDFs) Lowland Tatra NE Carpathes S Carpathes Frequency versus intensity of daily precipitation events (1981) 4.5_H_NogTom underestimates the intensity RegCM4.6 simulations capture better the occurrence of light events But they overestimate the medium and the high-intensity events

RegCM4.6 RegCM4.5 Results Simple daily intensity index bias (1981) 4.5_H_SUBEX 4.5_H_SUB4.3 4.5_H_NogTom 4.5_NH_SUBEX 4.6_H_SUBEX 4.6_H_SUB4.3 4.6_H_NogTom 4.6_NH_SUBEX SDII bias (mm/day) RegCM4.5: negative values in the SW region RegCM4.6: higher positive biases occur NH dynamic produces higher intensity over Carpathian Mountains

RegCM4.6 RegCM4.5 Results Consecutive dry days bias (1981) 4.5_H_SUBEX 4.5_H_SUB4.3 4.5_H_NogTom 4.5_NH_SUBEX 4.6_H_SUBEX 4.6_H_SUB4.3 4.6_H_NogTom 4.6_NH_SUBEX CDD bias (days) RegCM4.5 simulations: higher positive biases of CDD are over lowland and SE region RegCM4.6: underestimations (biggest with the new microphysics scheme)

RegCM4.6 RegCM4.5 Results Consecutive wet days bias (1981) 4.5_H_SUBEX 4.5_H_SUB4.3 4.5_H_NogTom 4.5_NH_SUBEX 4.6_H_SUBEX 4.6_H_SUB4.3 4.6_H_NogTom 4.6_NH_SUBEX CWD bias (days) 4.5: overestimation over the Carpathian Mountain (8-12 days) 4.6: substantial overestimation of CWD (more than 20 days)

Convective and non-convective precipitation - JJA NH_SUBEX H_NogTom H_SUB4.3 H_SUBEX Convective precipitation Non-convective precipitation RegCM4.5 RegCM4.6 RegCM4.5 RegCM4.6 (mm/month) Convective precipitation more convective precipitation with RegCM4.6 4.5: higher values over mountainous areas 4.6: higher values over lowlands Non-convective precipitation the differences between the model versions are bigger with the new microphysics scheme

RegCM4.6 RegCM4.5 Results temperature (1981) JJA DJF JJA DJF 4.5_H_SUBEX 4.5_H_SUB4.3 4.5_H_NogTom 4.5_NH_SUBEX 4.6_H_SUBEX 4.6_H_SUB4.3 4.6_H_NogTom 4.6_NH_SUBEX 4.5: Lake Balaton appears in winter 4.5: temperature bias for summer is around 3 C Seasonal mean errors change within short distances in mountains 4.5: H_NogTom reproduces the average temperature better in winter 4.6: negative bias could be related to the overestimation of precipitation Temperature bias ( C)

Summary High-resolution (10 km) experiments of the RegCM4.5 and RegCM4.6 for 1981 over the Pannonian region Precipitation Positive precipitation biases over the Carpathian Mountains Negative biases appear over the lower elevated regions with RegCM4.5 SDII: the highest overestimation with NH core (dynamic + conv. parametrization) CWD: the highest bias with 4.6_H_NogTom Convective precipitation values are high in RegCM4.6 Temperature RegCM4.6 underestimates the temperature in summer (due to the overestimation of precipitation) RegCM4.6 produces wetter and cooler climate than RegCM4.5

Future plans Understanding the interactions between the parameterization schemes Tuning find the best settings for the Pannonian region Experiments with other convection schemes (e.g. Tiedtke) Simulations with CLM (Coupled Land Model) instead of BATS Convective permitting simulations Newer versions: RegCM4.7

References ELGUINDI, N., BI, X., GIORGI, F., NAGARAJAN, B., PAL, J., SOLMON, F., RAUSCHER, S., ZAKEY, A., O BRIEN, T., NOGHEROTTO, R. & GIULIANI, G. (2014): Regional climatic model RegCM Reference Manual version 4.5. ITCP, Trieste, 37p. NOGHEROTTO, R., TOMPKINS, A. M., GIULIANI, G., COPPOLA, E. & GIORGI, F. (2016): Numerical framework and performance of the new multiple-phase cloud microphysics scheme in RegCM4.5: precipitation, cloud microphysics, and cloud radiative effects. Geoscientific Model Development, 9(7), 2533-2547. PAL, J.S., SMALL, E. & ELTAHIR, E. (2000): Simulation of regional-scale water and energy budgets Representation of subgrid cloud and precipitation processes within RegCM. Journal of Geophysical Research, 105, 29, 567-594. PIECZKA, I., PONGRÁCZ, R., ANDRÉ, K. S., KELEMEN, F. D., & BARTHOLY, J. (2017). Sensitivity analysis of different parameterization schemes using RegCM4. 3 for the Carpathian region. Theoretical and Applied Climatology, 130(3-4), 1175-1188. SZALAI, S., AUER, I., HIEBL, J., MILKOVICH, J., RADIM, T., STEPANEK, P., ZAHRADNICEK, P., BIHARI, Z., LAKATOS, M., SZENTIMREY, T., LIMANOWKA, D., KILAR, P., CHEVAL, S., DEAK, Gy., MIHIC, D., ANTOLOVIC, I., MIHAJLOVIC, V., NEJEDLIK, P., STASTNY, P., MIKULOVA, K., NABYVANETS, I., SKYRYK, O., KRAKOVSKAYA, S., VOGT, J., ANTOFIE, T. & SPINONI, J. (2013): Climate of the Greater Carpathian Region. Final Technical Report. www.carpatclim-eu.org TORMA C, BARTHOLY J, PONGRÁCZ R, BARCZA Z, COPPOLA E, GIORGI F (2008) Adaptation and validation of the RegCM3 climate model for the Carpathian Basin. Időjárás 112(3 4):233 247 TORMA C, COPPOLA E, GIORGI F, BARTOLY J, PONGRACZ R (2011)Validation of a high resolution version of the regional climate model RegCM3 over the Carpathian basin. J Hydrometeorol 12:84 100