the canadian regional climate modelling and diagnostics ... · dr. zav kothavala dr. andrey...

The Canadian Regional Climate Modelling and Diagnostics (CRCMD) Network (2006–2010)

http://www.mrcc.uqam.ca

Science meeting, May 26–29, 2009

Co-Investigators of CRCMD NetworkUQAM:

Jean-Pierre Blanchet Aerosols, radiation, Arctic climateÉric Girard Clouds microphysics, Arctic climateRené Laprise Numerical methods, climate modellingChanghui Peng Dynamic vegetationLaxmi Sushama Surface processes: lakes, permafrost, hydrology, oceans

Ouranos & UQAM:

Daniel Caya Regional climate modellingRamón De Elía Predictability, uncertainty analysis

RPN/MSC & UQAM:

Gilbert Brunet Weather regimes, diagnosticsJean Côté Numerical modellingBernard Dugas Present-day climate simulations and diagnosticsPaul Vaillancourt Physical parameterisationsAyrton Zadra Regional and global numerical modelling

CCCma/MSC & Univ. Victoria:Vivek Arora Land-surface processes, hydrology, land carbon cycleGreg Flato Sea-ice and global climate modellingJohn Scinocca Physical parameterizations for global climate models

Univ. Victoria:Adam Monahan Climate system from a probabilistic perspective

SMHI: Colin Jones Regional climate modelling

Funding of CRCMD Network (2006-2010)

(in $1,000 / year)CFCAS 748Ouranos 187FQRNT (GEC3) 30US DoE 68 (till 2008 only)

TOTAL 1,033

In-kind:Ouranos % Climate Simulation Team specialists,

Computers, Office space, Infrastructure

UQAM 1 System Analyst (A. Khaled)MSC Access to scientists expertise,

GCM and GEM software

CRCMD Network1 Network Coordinator

Adelina Alexandru

8 Research Associates

Dr. Ping Du

Katja Winger

Dr. Yanping He

Dr. Zav Kothavala

Dr. Andrey Martynov

Dr. Minwei Qian

Dr. Rong Li (CCCma)

Dr. Janya Sillman (CCCma)

1 System Analyst

Abderrahim Khaled (UQAM)

2 Computer ProgrammersLuis Duarte

Georges Huard

19 Graduate Students:

10 Ph. D.

J.-P. Blanchette

L.-P. Caron

E.-P. Diaconescu

M. Leduc

A. di Luca

M. Markovic

D. Paquin-Ricard

J.-P. Paquin

L. Separovic

D. Surcel-Colan

9 M.Sc.

R. Bresson

P.-L. Carpentier

D. Kornic

B. Mladjic

O. Nikiema

V. Poitras

M. Powers

M. Rapaic

M. Verville

CRCMD NetworkScientific Research Plan

2006 - 2010

! operates on massively-parallelised computer architecture! supports a number of model configurations within a single system

Further development of the limited area version of GEM (in collaboration with RPN and CCCma scientists)for application as a high-resolution Regional Climate Model (CRCM5)

CRCM5 projects

North AmericaD. Paquin-Ricard:A study on the representation of cloud microphysics and its interaction with radiation inthe GEM model

M. Markovic:Evaluation of the Surface Radiation Budget over North America for a suite of RegionalClimate Models

F. Dorsaz:Evaluation of regional climate model simulations of snow cover over Québec

L. Separovic:Methodological approach to parameter perturbations in GEM-LAM seasonal simulations

Y. He (UVic):Surface wind probability distributions over N. American regions: observations and RCMsimulations

E. P. Diaconescu:Analysis of Internal Variability of a regional Climate Model using Singular Vectors

AfricaA.-S. Daloz:Study of the benefits of increased resolution on the precipitation in Sub-Saharan Africa

North America & EuropeM. Verville:Comparison of two regional climate modelling approaches using the GEM model,global variable-resolution versus one-way nested limited-area

ICTS (Inter-Continental Scale Experiments Transferability Study)Z. Kothavala:The Transferability of Regional Climate Models to non-native domains

ArcticM. Qian:The behavior of GEM-LAM over the Arctic using different simulation domains

HurricanesL.-P. Caron:A study on tropical cyclone activity using the GEM model

Tropics - mid-latitudesM. Markovic:Tropical mid-latitude interactions

ShebaP.-L. Carpentier:Evaluation of the stable boundary layer processes in GEM over the Arctic ocean duringSHEBA

CRCM5 projects

CRCMD Network

Scientific Research Plan

2006 - 2010Main themes:

1. Scientific issues for high-resolution climate modelling Theme leaders: Jones and Zadra

2. The impact of surface feedback processes on regional climate Theme leaders: Sushama, Arora and Peng

3. Developing new diagnostic techniques for regional climate models Theme leaders: Caya, de Elia and Laprise

CRCMD Network Scientific Research PlanTheme 1: Scientific issues for high-resolution climate modelling

1. Testing of physical parameterisations (RPN GEM, CCCma

AGCM4)

2. Assessment of the scalability of parameterisations from

GCM to RCM resolutions

3. Parameterising moist processes (convection, cloud

microphysics)

4. Large-scale control in nested RCMs

North America, 0.5°Piloted with ERA40Period: 1957/09 – 2002/08Output: 3 hourly output

North America, 0.25°Piloted with ERA40Period: 1957/09 – 2002/08Output: 3 hourly output

Theme 2: Studying the impact of surface feedbackprocesses on regional climate

1. Representation of surface fluxes in CRCM5

2. Dynamic vegetation (CTEM)

3. Soil and permafrost studies (CLASS)

4. Interactive lakes (Hostetler, Mironov Flakes, K-!)

5. Regional oceans (RCO)

CRCMD Network Scientific Research Plan

Theme 3: Developing new diagnostic techniques for RCMs

1. Quantifying uncertainty in RCM downscaling

2. Scale-selective budget studies

3. Using satellite data in the evaluation of CRCM5

4. Estimating the added value of RCMs

CRCMD Network Scientific Research Plan

Source: Di Luca

Surface feedback processes on regional climate

ISBA

CRCM5v5.0.1 implementedCRCM5v5.0.1

CLASS3.4 Katja WingerLuis Duarte

Jean-Philippe Paquin

The impact of surface feedback processes onregional climate

! Optional mosaic formulation

! Ability to model organic soils

! Enhanced snow density and snow interception

! New canopy conductance formulation

! Option for multiple soil layers at depth

New LSS in CRCM5 -> CLASS3.4 (developed by Diana Verseghy)

3-layer: No organic parameterization

3-layer: with organic parameterization


!z1= 0.1 m

!z2= 0.25 m

!z3= 3.75 m

0

z3

z2

z1G(0)

G(z1)

G(z2)

G(z3)

K* L* QH QE

!

!

T1

!

T2

!

T3

Drainage

F(z1)

F(z2)

F(z3)

F(0)

Simulated annual-mean temperaturefor the top soil layer

Source: Yanjun Jiao

Region with organic soilInclusion of the organic soil parameterization leads to much cooler temperatures

Jean-Philippe Blanchette (PhD)

Soil and permafrost studies


Observed/simulated soil temp profile

• Dominique Paquin – CRCM4/CRCM5

• Jean-Philippe Paquin - comparison of water and energy budgets in CRCM5/ISBAand CRCM5/CLASS

• Katja Winger – sensitivity of surface fluxes to soil model configuration


Andrey Martynov-Hostetler and Flake models implementedin CRCM4-Will be implemented in CRCM5 this fall

The Lake Model Intercomparison Project (LakeMIP):http://www.unige.ch/climate/lakemip/index.html

Implementation of Lakes

5

10

15

20

25

30

Lake Superior, buoy 45001, depth: 261 m

Wa

ter

su

rfa

ce

te

mp

era

ture

(o

C)

No lakes Goyette Buoy observations Hostetler FLake

0

5

10

15

20

25

30

35Lake Erie, buoy 45005, depth: 12.5m

Time, simulation years

1979 1980 1981


Dynamic vegetation:Canadian Terrestrial EcosystemModel (Arora, 2003)


• Photosynthesis• Autotrophic respiration• Heterotrophic respiration• Phenology• Turn over of live veg, • Mortality• Allocation • Disturbance due to fire,• Land use related carbon emissions

Achieve this model structure by Dec 2009

Dynamic vegetation

Autotrophicrespiration

Heterotrophicrespiration

Allocation

Fire

Phenology

Turnover,Mortality

Conversion of biomass

to structural attributes

"t = 20-30 minutes

"t = 1 day

Albedo and transmittivity calculations

Photosynthesis,leaf respiration, andcanopy conductance

Surface energyand waterbalance

Soil heat andmoisture dynamics

Daily-averaged values ofcanopy temperature,soil temperature, soilmoisture, and carbonuptake.

LAI, vegetation roughnessheight, rooting depth, canopy

mass, and fractionalcoverages of 4 CLASS PFTs

for each tile.

Land use change

CLASS 3.4

CTEM 1.0

Read in fractional coverage of CTEM’snine PFTs externally

CLASS’ calculations can beperformed separately foreach PFT that occupies afull tile.


CTEM 1.1

Autotrophicrespiration

Heterotrophicrespiration

Allocation

Fire

Phenology

Turnover,Mortality

biomass conversion to structural attributes

"t = 20-30 minutes

"t = 1 day

Albedo and transmittivity calculations

Photosynthesis,leaf respiration, andcanopy conductance

Surface energyand waterbalance

Soil heat andmoisture dynamics

Daily-averaged values ofcanopy temperature, soiltemperature, soil moisture,and carbon uptake.

LAI, vegetation roughness height,rooting depth, canopy mass, andfractional coverages of 4 CLASS

PFTs for each tile.

Land use change

CLASS 3.4

CLASS’ calculations canbe performed separatelyfor each PFT that occupiesa full tile.

Competitionbetween PFTs

April 2010

Dynamic vegetation


Coupling of CRCM5 with RCO over the Arctic

Pi-1 Pi Pi+1 Pi+2 Pn-1P0 P1 P2 … …

Atmosphere

Dynamics and Physics

Ocean

Dynamics and Physics

SST, IST,SIC, suface albedo

Radiation, precipitation, sensible, latent

heat and momentun Fluxes

CRCM5 RCO

Blue lines: Output data, Red lines : Input data

Solid lines : Finished, Dash lines : In progress

Minwei Qian (RA)Jean Philippe Paquin (PhD) (RCAO, WATRoute)


the canadian regional climate modelling and diagnostics ... · dr. zav kothavala dr. andrey...

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