Interactive lakes in the Canadian Regional Climate Model (CRCM): present state and perspectives

Size: px
Start display at page:

Download "Interactive lakes in the Canadian Regional Climate Model (CRCM): present state and perspectives"

Transcription

1 44th Annual CMOS Congress May 31 June 4, 21, Ottawa Interactive lakes in the Canadian Regional Climate Model (CRCM): present state and perspectives A. Martynov, L. Sushama, R. Laprise Centre ESCER Université du Québec à Montréal

2 Motivation: Lakes and regional climate 9% of Canada s surface is covered by lakes. In total: more than 2 million lakes of all kinds and sizes. Lakes influence the regional climate in many ways; Some examples: - Thermal moderation - Enhanced evaporation - Local wind and participation patterns: breeze, lake-effect snow, etc Lakes are, in their turn, influenced by climate change. Tundra ponds Glacial lakes and reservoirs (Canadian shield) Large lakes are most important for the regional climate The influence of small lakes can be important in areas, where such lakes are abundant because of their cumulative effects. Mountain lakes (Rocky Mountains) Great Lakes Wetlands (swamps, peatlands) Lakes form an important element of the climate system and it is essential to include them in climate models, particularly for lake abundant regions, such as Canada, Scandinavia and northern Russia. This can be achieved by interactive coupling of the regional/global climate models with the lake models.

3 Regional climate models and lake models Regional climate models: - Horizontal resolution: 1- km - Simulation periods: -2 years and more coupling with complex 3D lake models would be computationally expensive and would require better horizontal resolution. 1D lake models: - Horizontal fluxes are ignored - Few input data are required - Different kinds of lakes can be simulated - Relatively simple - Computationally cheap Two 1D lake models with ice component were chosen for coupling with CRCM (other models might be added later): - The model of S.W. Hostetler (Hostetler et al. 1993) - The model FLake (Mironov et al. 21) A number of off-line tests and validation studies have been carried out, prior to coupling. They were presented on CMOS 29 in Halifax and recently published: Martynov A., L. Sushama, R. Laprise: "Simulation of temperate freezing lakes by one-dimensional lake models: performance assessment for interactive coupling with regional climate models" Boreal Env. Res. 1: Both lake models are good in reproduction of small and medium-sized temperate lakes, but problems arise in large and deep lakes, such as Laurentian Great Lakes. Advanced off-line studies: the Lake Model Intercomparison Project (LakeMIP) was initiated in 28 in order to compare the performance of different 1D lake modes in various conditions. For more details, see: and: Stepanenko, V. M., Goyette, S., Martynov, A., Perroud, M., Fang, X. & Mironov, D. 21: First steps of a Lake Model Intercomparison Project: LakeMIP. Boreal Env. Res. 1:

4 Canadian Regional Climate Model (CRCM) The first generation of the Canadian Regional Climate Model was developed more than 2 years ago at the University of Quebec at Montreal and many versions have been developed since that time (Laprise 28). The 4th generation model is used, for example, by Consortium Ouranos ( for climate change simulations. The current production version, CRCM4, uses the CLASS 2.7 (Verseghy et al ) land surface scheme. Lakes can be treated in CRCM4 in two different ways: external SST data (AMIP II) or a simple mixed layer model (Goyette 2) can be applied. This lake model is inconvenient in use and requires additional simulations, compared with "no-lakes" configurations. This models has limitations, particularly when used for future climate simulations. A new version of the Canadian Regional Climate Model is being developed: CRCM, based on GEM, the global NWP model of Environment Canada. In GEM, lake surface temperature and ice fraction are prescribed, using AMIP II data. This work presents results from interactive coupling of 1D lake models with CRCM in order to improve the representation of surface processes in the climate model. - Two 1D lake models were coupled with CRCM4/CLASS2.7 for resolved lakes only and applied to the Great Lakes region. - The Hostetler lake model was coupled with CRCM for both resolved and subgrid lakes and applied to the Great Lakes region.

5 CRCM: coupling with 1D lakes Two different lake model coupling schemes were developed: 1. CRCM4 + CLASS CRCM (GEM) Atmospheric module: Forcing variables at the lowest atmospheric level Atmospheric module: Forcing variables at the lowest atmospheric level Lake models are called by the surface scheme launcher Only resolved lakes can be treated by CLASS 2.7 lake models are applied only to resolved lakes (the mosaic approach is possible In newer CLASS versions) CLASS launcher: Atmospheric forcing at the screen height For resolved lakes Lake coupler: choice of lake model Surface heat and momentum fluxes, surface energy balance Lake model Feedback to the atmosphere: SST, ice thickness, etc. Lake model launcher Is independent from surface schemes. The mosaic approach is realised before the surface couplers are called The resulting surface variables are aggregated, based on their fractions on the grid tiles. GEM SURFACE module Mosaic approach Lake fractions are calculated for grid tiles For tiles with lake fractions Lake coupler: choice of lake model Surface heat and momentum fluxes, surface energy balance Lake model Aggregation of calculated surface parameters for different surface types

6 Coupled CRCM4 simulations: resolved lakes First coupled simulations : 26 year-long period, Five different CRCM4 model configurations were compared Simulation domain: 8x9 grid, centered on the Great Lakes Boundary forcing: NCEP/NCAR reanalysis. Observation data: NDBC buoy water surface temperature Simulation domain and lake tiles

7 Comparison of coupled and uncoupled simulations: - AMIP II SST - Goyette model - Hostetler model (native surface fluxes) - Flake model (native surface fluxes), 6 m max. depth Coupled CRCM4 simulations: resolved lakes Buoy observations AMIP Goyette Hostetler FLake Buoy 41, depth: m As in off-line tests, best results are obtained in shallow lakes (Erie) Problems arise in deeper lakes (Michigan, Superior) Buoy 47, depth: m Hostetler model provides too rapid and too strong spring heating, due to lacking under-ice mixing. FLake produces too few ice in southern lake Michigan. Both lake models have difficulties in describing the spring temperature patterns in deep lakes Buoy 4, depth: 12.6 m

8 Coupled CRCM4 simulations: resolved lakes The importance of surface heat flux parameterization. - Flake model (native surface fluxes): Flake I - Flake model (Hostetler model surface fluxes, BATS-based ) : Flake II Buoy observations FLake I FLake II Buoy 41, depth: m FLake II with BATS-based surface fluxes is generally too cold, compared with FLake II and buoy observations. Not only the correct lake model, but also correct surface heat flux parameterizations have to be used: a task for LakeMIP? Buoy 47, depth: m Buoy 4, depth: 12.6 m

9 Coupled CRCM4 simulations: resolved lakes Simulation averages and climatological means Simulation: 26-year-long averaged SST values Climatology: from Irbe 1992, Goyette et al. 2 Among all tested CRCM versions, best results are obtained by the FLake I configuration FLake I is comparable with the Goyette model, which is the standard lake model in CRCM4, but is simpler in use, than the Goyette model. In the shallow lake Erie, most CRCM versions are close to climatological means (except Flake II) - good hint for shallow subgrid lakes. Average water surface temperature, o C 2 Superior Huron Ontario 3 2 Erie Climatic monthly average AMIP II Goyette Hostetler FLake I FLake II Michigan Months

10 Coupled CRCM simulations: resolved/subgrid lakes First multiannual simulation, carried out by CRCM (GEM) climate model, interactively coupled with the Hostetler lake model, is presented. Both resolved and sub-grid lakes are taken into account (mosaic approach). Simulation domain: x grid, centred on the Great Lakes, horizontal resolution :.. Simulation period: Coupled lake model: Hostetler, lake depth: 4 m everywhere. Simulation domain and lake fraction map (wetlands not included)

11 Coupled CRCM simulations: resolved/subgrid lakes CRCM/Hostetler model, compared with CRCM4/Hostetler and with NDBC buoy observations Buoy observations Hostetler + CRCM4 Hostetler + CRCM Lake Superior, buoy Lake Michigan, buoy 47, depth: m Lake Mistassini (subgrid, lake fraction =.26) Lake Erie, buoy 4, depth: 12.6 m Preliminary results demonstrate the physically correct work of coupled model. For better results, surface heat flux parameterization tuning and using realistic Lake depth and water transparency data are required.

12 Future work Adjustment of the surface flux parameterization for coupled lake models. Participation in surface flux parameterization comparison activity of LakeMIP. Adding realistic lake depth and water transparency data to the coupled CRCM model. Surface heat flux parameterization tuning. Validation runs for CRCM, coupled with Hostetler model. Adding other lake models to CRCM: FLake and, possibly, other models. Modification of the Hostetler and FLake lake models in order to improve the performance in large deep lakes, possibly using 3D lake simulations as a base for the enhanced mixing parameterization. Comparison of coupled CRCM model with other lake-coupled climate models (RCA, etc.) Climate change simulations, using lake-coupled climate models.

13 References Dickinson R.E., Henderson-Sellers A. & Kennedy P. J Biosphere Atmosphere Transfer Scheme (BATS). Version 1e as coupled to the NCAR Community Climate Model. NCAR Tech. Note NCAR/TN- 387+STR, 72 pp. Goyette S., N.A. McFarlane, & G. Flato, 2. Application of the Canadian Regional Climate Model to the Laurentian Great Lakes Regions. Implementation of a Lake Model. Atmos. Ocean., 38: Hostetler S.W., Bates, G.T., & Giorgi, F, Interactive coupling of a lake thermal model with a regional climate model, J. Geophys. Res., 98: 4-7. Laprise R. 28. Regional climate modelling J. Comp. Phys. 227: Irbe, G.J Great Lakes surface water climatology. Environment Canada, AES, Climatological Studies 43, 21 pp. Martynov A., L. Sushama, R. Laprise: "Simulation of temperate freezing lakes by one-dimensional lake models: performance assessment for interactive coupling with regional climate models" Boreal Env. Res. 1: Mironov, D., Heise, E., Kourzeneva, E., Ritter, B., Schneider, N. & Terzhevik, A. 21: Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO. Bor. Env. Res. 1: Stepanenko, V. M., Goyette, S., Martynov, A., Perroud, M., Fang, X. & Mironov, D. 21: First steps of a Lake Model Intercomparison Project: LakeMIP. Boreal Env. Res. 1: VerseghyD. L., McFarlaneN. A., and LazareM., "CLASS-A Canadian land surface scheme for GCMS, II. Vegetation model and coupled runs," Int. J. Climatol., vol. 13, no. 4, pp , Thank you! Questions?

Interactive Lakes in the Canadian Regional Climate Model, versions 4 and 5

Interactive Lakes in the Canadian Regional Climate Model, versions 4 and 5 2nd Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Norrköping, Sweden, September 15-17 21 Interactive Lakes in the Canadian Regional Climate Model, versions

More information

Coupling of the Canadian Regional Climate Model with lake models

Coupling of the Canadian Regional Climate Model with lake models Workshop on Parametrization of Lakes in Numerical Weather Prediction and Climate Modelling 18-2 September 28, St. Petersburg (Zelenogorsk), Russia Coupling of the Canadian Regional Climate Model with lake

More information

The Lake Model Intercomparison Project (LakeMIP): present state and perspectives

The Lake Model Intercomparison Project (LakeMIP): present state and perspectives 2nd Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Norrköping, Sweden, September 15-17 2010 The Lake Model Intercomparison Project (LakeMIP): present state

More information

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

Andrey Martynov 1, René Laprise 1, Laxmi Sushama 1, Katja Winger 1, Bernard Dugas 2. Université du Québec à Montréal 2 CMOS-2012, Montreal, 31 May 2012 Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation Andrey Martynov

More information

Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system

Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system 2nd Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system R. Salgado(1),

More information

Lake and Climate Models Linkage: A 3D Hydrodynamic Contribution

Lake and Climate Models Linkage: A 3D Hydrodynamic Contribution Lake and Climate Models Linkage: A 3D Hydrodynamic Contribution Luis F. Leon 1a,b, David Lam 2, William Schertzer 2 and David Swayne 1b 1a University of Waterloo, Waterloo, Ontario, N2G3L1 (lfleonvi@uwaterloo.ca)

More information

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

ICRC-CORDEX Sessions A: Benefits of Downscaling Session A1: Added value of downscaling Stockholm, Sweden, 18 May 2016 ICRC-CORDEX Sessions A: Benefits of Downscaling Session A1: Added value of downscaling Stockholm, Sweden, 18 May 2016 Challenges in the quest for added value of climate dynamical downscaling: Evidence

More information

Parameterization of Lakes in NWP and Climate Models

Parameterization of Lakes in NWP and Climate Models Parameterization of Lakes in NWP and Climate Models Dmitrii Mironov and Jürgen Helmert German Weather Service, Offenbach am Main, Germany Hermann Asensio, Erdmann Heise, Ekaterina Machulskaya, Bodo Ritter

More information

Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes in the regional climate of North America

Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes in the regional climate of North America SERIES A DYNAMIC METEOROLOGY AND OCEANOGRAPHY PUBLISHED BY THE INTERNATIONAL METEOROLOGICAL INSTITUTE IN STOCKHOLM Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes

More information

Simulations of Lake Processes within a Regional Climate Model

Simulations of Lake Processes within a Regional Climate Model Simulations of Lake Processes within a Regional Climate Model Jiming Jin Departments of Watershed Sciences and Plants, Soils, and Climate Utah State University, Logan, Utah Utah State University 850 Faculty

More information

Regional offline land surface simulations over eastern Canada using CLASS. Diana Verseghy Climate Research Division Environment Canada

Regional offline land surface simulations over eastern Canada using CLASS. Diana Verseghy Climate Research Division Environment Canada Regional offline land surface simulations over eastern Canada using CLASS Diana Verseghy Climate Research Division Environment Canada The Canadian Land Surface Scheme (CLASS) Originally developed for the

More information

1 / 5. Climate Simulation CRCM5- LE ClimEx runs at Ouranos 2 May 2018 (v3)

1 / 5. Climate Simulation CRCM5- LE ClimEx runs at Ouranos 2 May 2018 (v3) 1 / 5 Terms of use of CRCM5- LE runs at Ouranos for the ClimEx project For reference to CRCM5- LE ClimEx outputs used in reports, publications and presentations. This document contains the following sections:

More information

DESCRIPTION OF THE CANADIAN REGIONAL CLIMATE MODEL. 1. Introduction

DESCRIPTION OF THE CANADIAN REGIONAL CLIMATE MODEL. 1. Introduction DESCRIPTION OF THE CANADIAN REGIONAL CLIMATE MODEL D. CAYA ~, R. LAPRISE ~, M. GIGUI~RE ', G. BERGERON ~, J. P. BLANCHET ~, B. J. STOCKS z, G. J. BOER 3 and N. A. McFARLANE 3 1Cooperative Centre for Research

More information

Investigating Regional Climate Model - RCM Added-Value in simulating Northern America Storm activity

Investigating Regional Climate Model - RCM Added-Value in simulating Northern America Storm activity Investigating Regional Climate Model - RCM Added-Value in simulating Northern America Storm activity E. D. Poan 1, P. Gachon 1, R. Laprise 1, R. Aider 1,2, G. Dueymes 1 1 Centre d Etude et la Simulation

More information

Current status of lake modelling and initialisation at ECMWF

Current status of lake modelling and initialisation at ECMWF Current status of lake modelling and initialisation at ECMWF G Balsamo, A Manrique Suñen, E Dutra, D. Mironov, P. Miranda, V Stepanenko, P Viterbo, A Nordbo, R Salgado, I Mammarella, A Beljaars, H Hersbach

More information

Climate Modelling and Scenarios in Canada. Elaine Barrow Principal Investigator (Science) Canadian Climate Impacts Scenarios (CCIS) Project

Climate Modelling and Scenarios in Canada. Elaine Barrow Principal Investigator (Science) Canadian Climate Impacts Scenarios (CCIS) Project Climate Modelling and Scenarios in Canada Elaine Barrow Principal Investigator (Science) Canadian Climate Impacts Scenarios (CCIS) Project Canadian Centre for Climate Modelling and Analysis (CCCma) http://www.cccma.bc.ec.gc.ca

More information

An effective lake depth for FLAKE model

An effective lake depth for FLAKE model An effective lake depth for FLAKE model Gianpaolo Balsamo, Emanuel Dutra, Victor Stepanenko, Pedro Viterbo, Pedro Miranda and Anton Beljaars thanks to: Dmitrii Mironov, Arkady Terzhevik, Yuhei Takaya,

More information

A 3D Hydrodynamic Lake Model: Simulation on Great Slave Lake

A 3D Hydrodynamic Lake Model: Simulation on Great Slave Lake A 3D Hydrodynamic Lake Model: Simulation on Great Slave Lake Luis F. León 1, David C.L. Lam 2, William M. Schertzer 2 and David A. Swayne 3 1 University of Waterloo, Waterloo, ON, Canada: lfleonvi@uwaterloo.ca

More information

SIMULATION OF ARCTIC STORMS 7B.3. Zhenxia Long 1, Will Perrie 1, 2 and Lujun Zhang 2

SIMULATION OF ARCTIC STORMS 7B.3. Zhenxia Long 1, Will Perrie 1, 2 and Lujun Zhang 2 7B.3 SIMULATION OF ARCTIC STORMS Zhenxia Long 1, Will Perrie 1, 2 and Lujun Zhang 2 1 Fisheries & Oceans Canada, Bedford Institute of Oceanography, Dartmouth NS, Canada 2 Department of Engineering Math,

More information

Pierre Gauthier Department of Earth and Atmospheric Sciences Université du Québec à Montréal (UQAM)

Pierre Gauthier Department of Earth and Atmospheric Sciences Université du Québec à Montréal (UQAM) Pierre Gauthier Department of Earth and Atmospheric Sciences Université du Québec à Montréal (UQAM) Contributions: Katja Winger, Kamel Chikhar, René Laprise, Laxmi Sushama Department of Earth and Atmospheric

More information

Future Great Lakes climatology and water levels simulated using Regional Climate Models

Future Great Lakes climatology and water levels simulated using Regional Climate Models Future Great Lakes climatology and water levels simulated using Regional Climate Models Frank Seglenieks Environment Canada The St. Clair River Symposium Port Huron, MI 2014-09-18 Summary Great Lakes hydroclimatology

More information

First steps of a Lake Model Intercomparison Project:

First steps of a Lake Model Intercomparison Project: Boreal Environment Research 15: 191 202 2010 ISSN 1239-6095 (print) ISSN 1797-2469 (online) helsinki 30 April 2010 First steps of a Lake Model Intercomparison Project: LakeMIP Victor M. Stepanenko 1),

More information

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

Comparison of Convection Characteristics at the Tropical Western Pacific Darwin Site Between Observation and Global Climate Models Simulations Comparison of Convection Characteristics at the Tropical Western Pacific Darwin Site Between Observation and Global Climate Models Simulations G.J. Zhang Center for Atmospheric Sciences Scripps Institution

More information

Representing inland water bodies and coastal areas in global numerical weather prediction

Representing inland water bodies and coastal areas in global numerical weather prediction Representing inland water bodies and coastal areas in global numerical weather prediction Gianpaolo Balsamo, Anton Beljaars, Souhail Boussetta, Emanuel Dutra Outline: Introduction lake and land contrasts

More information

An intercomparison model study of Lake Valkea-Kotinen (in a framework of LakeMIP)

An intercomparison model study of Lake Valkea-Kotinen (in a framework of LakeMIP) Third Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Finnish Meteorological Insitute, Helsinki, September 18-20 2012 An intercomparison model study of Lake

More information

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

A Quick Report on a Dynamical Downscaling Simulation over China Using the Nested Model ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2010, VOL. 3, NO. 6, 325 329 A Quick Report on a Dynamical Downscaling Simulation over China Using the Nested Model YU En-Tao 1,2,3, WANG Hui-Jun 1,2, and SUN Jian-Qi

More information

The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change. Renguang Wu

The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change. Renguang Wu The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change Renguang Wu Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing World Conference on Climate Change

More information

Pacific Northwest Climate Sensitivity Simulated by a Regional Climate Model Driven by a GCM. Part II: 2 CO 2 Simulations

Pacific Northwest Climate Sensitivity Simulated by a Regional Climate Model Driven by a GCM. Part II: 2 CO 2 Simulations 2031 Pacific Northwest Climate Sensitivity Simulated by a Regional Climate Model Driven by a GCM. Part II: 2 CO 2 Simulations L. R. LEUNG AND S. J. GHAN Pacific Northwest National Laboratory, Richland,

More information

THE CANADIAN CENTRE FOR CLIMATE MODELLING AND ANALYSIS

THE CANADIAN CENTRE FOR CLIMATE MODELLING AND ANALYSIS THE CANADIAN CENTRE FOR CLIMATE MODELLING AND ANALYSIS As Canada s climate changes, and weather patterns shift, Canadian climate models provide guidance in an uncertain future. CANADA S CLIMATE IS CHANGING

More information

5. General Circulation Models

5. General Circulation Models 5. General Circulation Models I. 3-D Climate Models (General Circulation Models) To include the full three-dimensional aspect of climate, including the calculation of the dynamical transports, requires

More information

An Introduction to Coupled Models of the Atmosphere Ocean System

An Introduction to Coupled Models of the Atmosphere Ocean System An Introduction to Coupled Models of the Atmosphere Ocean System Jonathon S. Wright jswright@tsinghua.edu.cn Atmosphere Ocean Coupling 1. Important to climate on a wide range of time scales Diurnal to

More information

Introducing inland water bodies and coastal areas in ECMWF forecasting system:

Introducing inland water bodies and coastal areas in ECMWF forecasting system: Introducing inland water bodies and coastal areas in ECMWF forecasting system: Outline: Introduction lake and land contrasts forecasts impact when considering lakes Summary & outlook Gianpaolo Balsamo

More information

Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO

Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO Boreal Environment Research 15: 218 230 2010 ISSN 1239-6095 (print) ISSN 1797-2469 (online) helsinki 30 April 2010 Implementation of the lake parameterisation scheme FLake into the numerical weather prediction

More information

Climate Modeling and Downscaling

Climate Modeling and Downscaling Climate Modeling and Downscaling Types of climate-change experiments: a preview 1) What-if sensitivity experiments increase the optically active gases and aerosols according to an assumed scenario, and

More information

Interactive lakes in NWP

Interactive lakes in NWP 2nd ALADIN Forecasters meeting Interactive lakes in NWP Rui Salgado Instituto de Ciências da Terra (ICT) Universidade de Évora 22 October 2015 IPMA, Lisboa Authorship This short presentation aims to be

More information

Terms. divide headwaters tributary fall line fishery

Terms. divide headwaters tributary fall line fishery Chapter 5 Preview Section 1 The Land Objectives Identify some key similarities and differences in the physical geography of the United States and Canada. Explain why rivers have played such an important

More information

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

Tropical Cyclones in a regional climate change projections with RegCM4 over Central America CORDEX domain Tropical Cyclones in a regional climate change projections with RegCM4 over Central America CORDEX domain Gulilat Tefera Diro diro@sca.uqam.ca Centre ESCER, University of Quebec at Montreal (UQAM), Montreal,

More information

Predictability and prediction of the North Atlantic Oscillation

Predictability and prediction of the North Atlantic Oscillation Predictability and prediction of the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements: Gilbert Brunet, Jacques Derome ECMWF Seminar 2010 September

More information

Parameterization of Lakes in Numerical Weather Prediction models

Parameterization of Lakes in Numerical Weather Prediction models Parameterization of Lakes in Numerical Weather Prediction models Dmitri Mironov, Laura Rontu, Ekaterina Kurzeneva & 26 participants of the Lake12 workshop SRNWP-EWGLAM meeting Helsinki 8-11 October 2012

More information

Introduction to climate modeling. ECOLMAS Course 1-4 April 2008

Introduction to climate modeling. ECOLMAS Course 1-4 April 2008 Introduction to climate modeling ECOLMAS Course 1-4 April 2008 Course description Goal: To equipe you with a comfortable basic knowledge in the trade of climate modeling Course web site: http://www.geo.unibremen.de/~apau/ecolmas_modeling2

More information

External data for lake parameterization in Numerical Weather Prediction and climate modeling

External data for lake parameterization in Numerical Weather Prediction and climate modeling Boreal Environment Research 15: 165 177 2010 ISSN 1239-6095 (print) ISSN 1797-2469 (online) helsinki 30 April 2010 External data for lake parameterization in Numerical Weather Prediction and climate modeling

More information

EQ: Discuss main geographic landforms of the U.S. & Canada and examine varied landforms in relation to their lifestyles.

EQ: Discuss main geographic landforms of the U.S. & Canada and examine varied landforms in relation to their lifestyles. EQ: Discuss main geographic landforms of the U.S. & Canada and examine varied landforms in relation to their lifestyles. Places & Terms for Discussion Appalachian Mountains Great Plains Canadian Shield

More information

Lecture 7: The Monash Simple Climate

Lecture 7: The Monash Simple Climate Climate of the Ocean Lecture 7: The Monash Simple Climate Model Dr. Claudia Frauen Leibniz Institute for Baltic Sea Research Warnemünde (IOW) claudia.frauen@io-warnemuende.de Outline: Motivation The GREB

More information

Physical Geography of the United States and Canada Chapter 5 A Land of Contrasts

Physical Geography of the United States and Canada Chapter 5 A Land of Contrasts Physical Geography of the United States and Canada Chapter 5 A Land of Contrasts Land Area Together the U.S. and Canada cover more than 7 million square miles. In total area, Canada ranks 2 nd and the

More information

ICON-ESM MPI-M s next-generation Earth system model

ICON-ESM MPI-M s next-generation Earth system model ICON-ESM MPI-M s next-generation Earth system model Climate and Earth system models are applied to simulate the past, present, and projected future climate, and to advance understanding of processes that

More information

Multiple climate regimes in an idealized lake ice atmosphere model

Multiple climate regimes in an idealized lake ice atmosphere model Noname manuscript No. (will be inserted by the editor) 1 2 Multiple climate regimes in an idealized lake ice atmosphere model 3 4 Noriyuki Sugiyama Sergey Kravtsov Paul Roebber 5 6 January 26, 2017 7 8

More information

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

Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections Gulilat Tefera Diro and Adrian Tompkins - Earth System Physics Section International Centre for Theoretical Physics

More information

Fine-scale climate projections for Utah from statistical downscaling of global climate models

Fine-scale climate projections for Utah from statistical downscaling of global climate models Fine-scale climate projections for Utah from statistical downscaling of global climate models Thomas Reichler Department of Atmospheric Sciences, U. of Utah thomas.reichler@utah.edu Three questions A.

More information

Modeling the Arctic Climate System

Modeling the Arctic Climate System Modeling the Arctic Climate System General model types Single-column models: Processes in a single column Land Surface Models (LSMs): Interactions between the land surface, atmosphere and underlying surface

More information

The Niagara Escarpment extends from western New York, through the GTA all the way up to Manitoulin Island and into Michigan and Wisconsin.

The Niagara Escarpment extends from western New York, through the GTA all the way up to Manitoulin Island and into Michigan and Wisconsin. is southern Ontario s most prominent topographic feature, extending more than 500 kilometres from western New York, through Niagara Falls and the western part of the Greater Toronto Area (GTA), and north

More information

4.4 EVALUATION OF AN IMPROVED CONVECTION TRIGGERING MECHANISM IN THE NCAR COMMUNITY ATMOSPHERE MODEL CAM2 UNDER CAPT FRAMEWORK

4.4 EVALUATION OF AN IMPROVED CONVECTION TRIGGERING MECHANISM IN THE NCAR COMMUNITY ATMOSPHERE MODEL CAM2 UNDER CAPT FRAMEWORK . EVALUATION OF AN IMPROVED CONVECTION TRIGGERING MECHANISM IN THE NCAR COMMUNITY ATMOSPHERE MODEL CAM UNDER CAPT FRAMEWORK Shaocheng Xie, James S. Boyle, Richard T. Cederwall, and Gerald L. Potter Atmospheric

More information

Markville. CGC 1DL/PL Geography. Geography of Canada. Natural Environment Unit Test

Markville. CGC 1DL/PL Geography. Geography of Canada. Natural Environment Unit Test Markville CGC 1DL/PL Geography Geography of Canada Natural Environment Unit Test Name: Thinking /10 Knowledge /10 Application /10 Communication /10 Part A: Blanks (1 mark each) Thinking Choose the correct

More information

Observational validation of an extended mosaic technique for capturing subgrid scale heterogeneity in a GCM

Observational validation of an extended mosaic technique for capturing subgrid scale heterogeneity in a GCM Printed in Singapore. All rights reserved C 2007 The Authors Journal compilation C 2007 Blackwell Munksgaard TELLUS Observational validation of an extended mosaic technique for capturing subgrid scale

More information

Impacts of Climate Change on Autumn North Atlantic Wave Climate

Impacts of Climate Change on Autumn North Atlantic Wave Climate Impacts of Climate Change on Autumn North Atlantic Wave Climate Will Perrie, Lanli Guo, Zhenxia Long, Bash Toulany Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS Abstract

More information

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

Effects of sub-grid variability of precipitation and canopy water storage on climate model simulations of water cycle in Europe Adv. Geosci., 17, 49 53, 2008 Author(s) 2008. This work is distributed under the Creative Commons Attribution 3.0 License. Advances in Geosciences Effects of sub-grid variability of precipitation and canopy

More information

The North American Regional Climate Change Assessment Program (NARCCAP) Raymond W. Arritt for the NARCCAP Team Iowa State University, Ames, Iowa USA

The North American Regional Climate Change Assessment Program (NARCCAP) Raymond W. Arritt for the NARCCAP Team Iowa State University, Ames, Iowa USA The North American Regional Climate Change Assessment Program (NARCCAP) Raymond W. Arritt for the NARCCAP Team Iowa State University, Ames, Iowa USA NARCCAP Participants Raymond Arritt, David Flory, William

More information

Introduction : Scientific context : SRNWP Expert Team on Surface Processes (model and data assimilation) Draft of a workplan for

Introduction : Scientific context : SRNWP Expert Team on Surface Processes (model and data assimilation) Draft of a workplan for SRNWP Expert Team on Surface Processes (model and data assimilation) Draft of a workplan for 2008-2009 Revised version (05 September 2008) Introduction : The Expert Team on Surface Processes will focus

More information

Supplementary Material for: Coordinated Global and Regional Climate Modelling

Supplementary Material for: Coordinated Global and Regional Climate Modelling 1 Supplementary Material for: Coordinated Global and Regional Climate Modelling 2 a. CanRCM4 NARCCAP Analysis 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 As CanRCM4 is a new regional model

More information

Université du Québec à Montréal!

Université du Québec à Montréal! Université du Québec à Montréal! PhD candidate: Alejandro Di Luca! Director: René Laprise! Co director: Ramon de Elia! May 28th 2009! !! Wide range of atmospheric phenomena...!! Important dependence between

More information

M.Sc. in Meteorology. Physical Meteorology Prof Peter Lynch. Mathematical Computation Laboratory Dept. of Maths. Physics, UCD, Belfield.

M.Sc. in Meteorology. Physical Meteorology Prof Peter Lynch. Mathematical Computation Laboratory Dept. of Maths. Physics, UCD, Belfield. M.Sc. in Meteorology Physical Meteorology Prof Peter Lynch Mathematical Computation Laboratory Dept. of Maths. Physics, UCD, Belfield. Climate Change???????????????? Tourists run through a swarm of pink

More information

Consistent Parameterization of Roughness Length and Displacement Height for Sparse and Dense Canopies in Land Models

Consistent Parameterization of Roughness Length and Displacement Height for Sparse and Dense Canopies in Land Models 730 J O U R N A L O F H Y D R O M E T E O R O L O G Y S P E C I A L S E C T I O N VOLUME 8 Consistent Parameterization of Roughness Length and Displacement Height for Sparse and Dense Canopies in Land

More information

Great Lakes Update. Volume 191: 2014 January through June Summary. Vol. 191 Great Lakes Update August 2014

Great Lakes Update. Volume 191: 2014 January through June Summary. Vol. 191 Great Lakes Update August 2014 Great Lakes Update Volume 191: 2014 January through June Summary The U.S. Army Corps of Engineers (USACE) monitors the water levels of each of the Great Lakes. This report provides a summary of the Great

More information

NSF 2005 CPT Report. Jeffrey T. Kiehl & Cecile Hannay

NSF 2005 CPT Report. Jeffrey T. Kiehl & Cecile Hannay NSF 2005 CPT Report Jeffrey T. Kiehl & Cecile Hannay Introduction: The focus of our research is on the role of low tropical clouds in affecting climate sensitivity. Comparison of climate simulations between

More information

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

Validation of satellite derived snow cover data records with surface networks and m ulti-dataset inter-comparisons Validation of satellite derived snow cover data records with surface networks and m ulti-dataset inter-comparisons Chris Derksen Climate Research Division Environment Canada Thanks to our data providers:

More information

Estimation of Wave Heights during Extreme Events in Lake St. Clair

Estimation of Wave Heights during Extreme Events in Lake St. Clair Abstract Estimation of Wave Heights during Extreme Events in Lake St. Clair T. J. Hesser and R. E. Jensen Lake St. Clair is the smallest lake in the Great Lakes system, with a maximum depth of about 6

More information

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

Regional climate modelling in the future. Ralf Döscher, SMHI, Sweden Regional climate modelling in the future Ralf Döscher, SMHI, Sweden The chain Global H E H E C ( m 3/s ) Regional downscaling 120 adam 3 C HAM 4 adam 3 C HAM 4 trl A2 A2 B2 B2 80 40 0 J F M A M J J A S

More information

A WATER CYCLE PREDICTION SYSTEM

A WATER CYCLE PREDICTION SYSTEM A WATER CYCLE PREDICTION SYSTEM FOR THE GREAT LAKES AND ST. LAWRENCE RIVER V. Fortin 1, D. Durnford 2, G. Smith 1, P. Matte 1, M. Mackay 1, N. Bernier 1... and many others 1 Meteorological Research Division,

More information

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

Climate variability and changes at the regional scale: what we can learn from various downscaling approaches Climate variability and changes at the regional scale: what we can learn from various downscaling approaches by Philippe Gachon 1,2,3 Milka Radojevic 1,2, Hyung Il Eum 3, René Laprise 3 & Van Thanh Van

More information

Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment

Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment James Done Willis Research Network Fellow National Center for Atmospheric Research Boulder CO, US Leverages resources in the

More information

Shawn M. Milrad Atmospheric Science Program Department of Geography University of Kansas Lawrence, Kansas

Shawn M. Milrad Atmospheric Science Program Department of Geography University of Kansas Lawrence, Kansas Shawn M. Milrad Atmospheric Science Program Department of Geography University of Kansas Lawrence, Kansas Eyad H. Atallah and John R. Gyakum Department of Atmospheric and Oceanic Sciences McGill University

More information

Simulated Effects of Idealized Laurentian Great Lakes on Regional and Large-Scale Climate*

Simulated Effects of Idealized Laurentian Great Lakes on Regional and Large-Scale Climate* NOVEMBER 1997 LOFGREN 2847 Simulated Effects of Idealized Laurentian Great Lakes on Regional and Large-Scale Climate* BRENT M. LOFGREN NOAA/Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan

More information

Climate Change Scenarios for Nepal based on Regional Climate Model RegCM3

Climate Change Scenarios for Nepal based on Regional Climate Model RegCM3 FINAL Climate Change Scenarios for Nepal based on Regional Climate Model RegCM3 Jagadishwor Karmacharya, Archana Shrestha, Rupak Rajbhandari, Madan L. Shrestha July, 2007 Department of Hydrology and Meteorology

More information

Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5

Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5 Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5 Diana Thatcher, Christiane Jablonowski University of Michigan Colin Zarzycki National Center for Atmospheric Research

More information

High-resolution ocean modelling at the MPI

High-resolution ocean modelling at the MPI High-resolution ocean modelling at the MPI Jin-Song von Storch Hamburg CLIVAR WGOMD Workshop on High Resolution Ocean Climate Modelling, 7-9 April 2014, Kiel Technical and organizational overview I The

More information

Simulating and Visualizing Hurricane-Ocean Interactions using High-Resolution CESM

Simulating and Visualizing Hurricane-Ocean Interactions using High-Resolution CESM Simulating and Visualizing Hurricane-Ocean Interactions using High-Resolution CESM Ryan Sriver, Dept. of Atmospheric Sciences, University of Illinois Hui Li, Dept. of Atmospheric Sciences, University of

More information

A NEMO-based hydrodynamic/hydraulic system for the Great Lakes. F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu

A NEMO-based hydrodynamic/hydraulic system for the Great Lakes. F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu A NEMO-based hydrodynamic/hydraulic system for the Great Lakes F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu Objectives: Development of a coupled hydrological forecasting system for

More information

Jonathan Gula and W. Richard Peltier Department of Physics, University of Toronto, Toronto, ON

Jonathan Gula and W. Richard Peltier Department of Physics, University of Toronto, Toronto, ON Generated using V3.0 of the official AMS L A TEX template Dynamical Downscaling over the Great Lakes Basin of North America using the WRF Regional Climate Model, Part 2: Changes in daily and extreme temperature

More information

Torben Königk Rossby Centre/ SMHI

Torben Königk Rossby Centre/ SMHI Fundamentals of Climate Modelling Torben Königk Rossby Centre/ SMHI Outline Introduction Why do we need models? Basic processes Radiation Atmospheric/Oceanic circulation Model basics Resolution Parameterizations

More information

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

Energy Systems, Structures and Processes Essential Standard: Analyze patterns of global climate change over time Learning Objective: Differentiate Energy Systems, Structures and Processes Essential Standard: Analyze patterns of global climate change over time Learning Objective: Differentiate between weather and climate Global Climate Focus Question

More information

GKSS. The Inter-Continental Transferability Study. as part of CEOP/GEWEX FORSCHUNGSZENTRUM PAGE

GKSS. The Inter-Continental Transferability Study. as part of CEOP/GEWEX FORSCHUNGSZENTRUM PAGE The Inter-Continental Transferability Study as part of CEOP/GEWEX 1 Objectives Study the transferability of regional climate models to areas of different climate regimes (RHP domains) Apply CEOP data (satellite,

More information

FREEZING- RAIN IN THE GREAT LAKES

FREEZING- RAIN IN THE GREAT LAKES About this Work GLISA participated in a winter climate adaptation project focused on Chicago, IL (http://glisaclimate.org/project/indicator-suite-and-winter-adaptation-measures-for-thechicago-climate-action-plan).

More information

Improving historical precipitation estimates over the Lake Superior basin

Improving historical precipitation estimates over the Lake Superior basin GEOPHYSICAL RESEARCH LETTERS, VOL. 39,, doi:10.1029/2011gl050468, 2012 Improving historical precipitation estimates over the Lake Superior basin K. D. Holman, 1,2 A. Gronewold, 3 M. Notaro, 2 and A. Zarrin

More information

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

Regional Climate Change Modeling: An Application Over The Caspian Sea Basin. N. Elguindi and F. Giorgi The Abdus Salam ICTP, Trieste Italy Regional Climate Change Modeling: An Application Over The Caspian Sea Basin N. Elguindi and F. Giorgi The Abdus Salam ICTP, Trieste Italy Outline I. Background and historical information on the Caspian

More information

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION Laura D. Fowler 1, Mary C. Barth 1, K. Alapaty 2, M. Branson 3, and D. Dazlich 3 1

More information

Convection Trigger: A key to improving GCM MJO simulation? CRM Contribution to DYNAMO and AMIE

Convection Trigger: A key to improving GCM MJO simulation? CRM Contribution to DYNAMO and AMIE Convection Trigger: A key to improving GCM MJO simulation? CRM Contribution to DYNAMO and AMIE Xiaoqing Wu, Liping Deng and Sunwook Park Iowa State University 2009 DYNAMO Workshop Boulder, CO April 13-14,

More information

Annex I to Target Area Assessments

Annex I to Target Area Assessments Baltic Challenges and Chances for local and regional development generated by Climate Change Annex I to Target Area Assessments Climate Change Support Material (Climate Change Scenarios) SWEDEN September

More information

A Proposed Test Suite for Atmospheric Model Dynamical Cores

A Proposed Test Suite for Atmospheric Model Dynamical Cores A Proposed Test Suite for Atmospheric Model Dynamical Cores Christiane Jablonowski (cjablono@umich.edu) University of Michigan, Ann Arbor PDEs on the Sphere Workshop Monterey, CA, June/26-29/2006 Motivation

More information

Chapter 6: Modeling the Atmosphere-Ocean System

Chapter 6: Modeling the Atmosphere-Ocean System Chapter 6: Modeling the Atmosphere-Ocean System -So far in this class, we ve mostly discussed conceptual models models that qualitatively describe the system example: Daisyworld examined stable and unstable

More information

Realization of the parametric snow cover model SMFE for snow characteristics calculation according to standard net meteorological observations

Realization of the parametric snow cover model SMFE for snow characteristics calculation according to standard net meteorological observations 3 Working Group on Physical Aspects: Soil and Surface 39 Realization of the parametric snow cover model SMFE for snow characteristics calculation according to standard net meteorological observations E.

More information

Impact of Eurasian spring snow decrement on East Asian summer precipitation

Impact of Eurasian spring snow decrement on East Asian summer precipitation Impact of Eurasian spring snow decrement on East Asian summer precipitation Renhe Zhang 1,2 Ruonan Zhang 2 Zhiyan Zuo 2 1 Institute of Atmospheric Sciences, Fudan University 2 Chinese Academy of Meteorological

More information

The elevations on the interior plateau generally vary between 300 and 650 meters with

The elevations on the interior plateau generally vary between 300 and 650 meters with 11 2. HYDROLOGICAL SETTING 2.1 Physical Features and Relief Labrador is bounded in the east by the Labrador Sea (Atlantic Ocean), in the west by the watershed divide, and in the south, for the most part,

More information

Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities

Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities Kevin A. Reed & Adam R. Herrington School of Marine and Atmospheric Sciences Stony Brook University, Stony Brook, New

More information

CLIMATE CHANGE DATA PROJECTIONS FOR ONTARIO AND THE GREAT LAKES BASIN

CLIMATE CHANGE DATA PROJECTIONS FOR ONTARIO AND THE GREAT LAKES BASIN CLIMATE CHANGE DATA PROJECTIONS FOR ONTARIO AND THE GREAT LAKES BASIN ECO Climate Data Roundtable, January 8, 2014 Richard Peltier, Physics, U Toronto Regional Data Sets of Climate Change Projections 2

More information

Assessment of ESA GlobAlbedo for climate model applications - examples using MPI-ESM

Assessment of ESA GlobAlbedo for climate model applications - examples using MPI-ESM Assessment of ESA GlobAlbedo for climate model applications - examples using MPI-ESM Alexander Loew, Thomas Raddatz, Swantje Preuschmann Max-Planck-Institute for Meteorology alexander.loew@mpimet.mpg.de

More information

SPECIAL PROJECT PROGRESS REPORT

SPECIAL PROJECT PROGRESS REPORT SPECIAL PROJECT PROGRESS REPORT Progress Reports should be 2 to 10 pages in length, depending on importance of the project. All the following mandatory information needs to be provided. Reporting year

More information

The Climate Sensitivity of the Community Climate System Model: CCSM3. Jeffrey T. Kiehl*, Christine A. Shields, James J. Hack and William D.

The Climate Sensitivity of the Community Climate System Model: CCSM3. Jeffrey T. Kiehl*, Christine A. Shields, James J. Hack and William D. For JCLI CCSM Special Issue The Climate Sensitivity of the Community Climate System Model: CCSM3 Jeffrey T. Kiehl*, Christine A. Shields, James J. Hack and William D. Collins National Center for Atmospheric

More information

Which Climate Model is Best?

Which Climate Model is Best? Which Climate Model is Best? Ben Santer Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory, Livermore, CA 94550 Adapting for an Uncertain Climate: Preparing

More information

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

Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics Improved rainfall and cloud-radiation interaction with Betts-Miller-Janjic cumulus scheme in the tropics Tieh-Yong KOH 1 and Ricardo M. FONSECA 2 1 Singapore University of Social Sciences, Singapore 2

More information

A global modeler looks at regional climate modeling. Zippy:Regional_Climate_01:Regional_Climate_01.frame

A global modeler looks at regional climate modeling. Zippy:Regional_Climate_01:Regional_Climate_01.frame A global modeler looks at regional climate modeling I come in peace. Global climate models, 1 All global climate models must include representations of the ocean, sea ice, and the vegetated land surface,

More information

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

performance EARTH SCIENCE & CLIMATE CHANGE Mujtaba Hassan PhD Scholar Tsinghua University Beijing, P.R. C Temperature and precipitation climatology assessment over South Asia using the Regional Climate Model (RegCM4.3): An evaluation of model performance Mujtaba Hassan PhD Scholar Tsinghua University Beijing,

More information