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Towards kilometer-scale climate modelingC2SM - ETH - MeteoSwiss collaboration
Wolfgang Langhans
Institute for Atmospheric and Climate Science, ETH Zurich
February 26, 2009
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 1 / 25
Outline
1 Introduction
2 First Cosmo runsCOPS DAQUAJuly 2006
3 Outlook I: Near future
4 Outlook II: General
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 2 / 25
Introduction
2003: Abitur in Traunstein/Germany2003-2008: Study of Meteorology and Geophysics inInnsbruck/AustriaInternship at IACETH under the guidance of CathyHohenegger:“Dynamical aspects of August 2005 Alpine flood”Internship at MPI in Hamburg:“Intercomparison of ECHAM5 and REMO simulations forclimate scenario A1B”Diploma thesis under the guidance of Alexander Gohm:“Cloud-resolving simulations of August 2005 Alpine flood -the sensitivity to microphysical parametrizations”January 2009: PhD at IAC, ETH Zürich
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 3 / 25
First Cosmo runs - COPS DAQUA
Period: 8. - 17. August 2007Characteristics:
strong synoptic forcing on August 8th (flooding event in westSwitzerland)and on August 16thintermediate strong convection inbetween
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 4 / 25
COPS DAQUA - Initialization
ECMWF operational analysis int2lm
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 5 / 25
COPS DAQUA - Model setup
Version: CLM 4.3Dynamics:
3rd order TVD-RK scheme
5th order advection, pos. definite qx advection
Physics:
prognostic TKE-based turbulence scheme
no cumulus scheme
graupel scheme
TERRA_ML
Implementation of topographic correction scheme for radiation ? (V4.7)
Large Alpine domain:
501× 451× 45 gridpoints
dϕ = dλ = 0.02◦, dt = 30 s
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 6 / 25
COPS DAQUA - Nesting experiments
Experiments:
ECMWF (25 km) → CLM 2 km (6 h LBC update)
ECMWF (25 km) → CLM 25 km → CLM 2 km (1 h LBC update)
ECMWF (25 km) → CLM 7 km → CLM 2 km (1 h LBC update)
ECMWF (25 km) → CLM 25 km → CLM 2 km (6 h LBC update)
ECMWF (25 km) → CLM 2 km (6 h LBC update, init_time = -6 h)
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 7 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 8 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
Accumulated precipitation (mm)ECMWF driven 25 km CLM driven
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 9 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
qv (g kg−1) at 700 hPa at 00 UTC 13 August 2007
ECMWF analysis ECMWF driven run 25 km CLM driven run
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 10 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
θe (K) at 850 hPa at 00 UTC 15 August 2007
ECMWF analysis ECMWF driven run 25 km CLM driven run
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 11 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
ECMWF driven
25 km CLM driven
Cold bias!?
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 12 / 25
COPS DAQUA - ECMWF vs. 25 km CLM LBC
ECMWF driven
25 km CLM driven
Cold bias!?Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 12 / 25
COPS DAQUA - 25 km CLM vs. 7 km CLM LBC
Also the magnitude of the deviations to the ECMWF analysismoisture and temperature fields is roughly the same.
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 13 / 25
COPS DAQUA - 1-h vs. 6-h LBC updatefrequency
Differences between area averaged rainrates (mm h−1)
1-h 25 km CLM - ECMWF driven 25 km CLM - 6-h 25 km CLM
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 14 / 25
COPS DAQUA - Predictability issue
Shifted initialization time (6 h earlier)
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 15 / 25
COPS DAQUA - Conclusions
1 The differences to ECMWF analysis fields are larger, whennesting chains are used.
2 The sensitivity of simulated precipitation to LBC updatefrequency is smaller than the sensitivity to nestingtechnique, despite strong synoptic forcing
3 When the ECMWF analysis is regarded to be the “truth", anECMWF driven 2-km resolution is most appropriate for thisstudy.
4 The chaotic discrepancies between runs with shiftedinitialization are low after ∼ 2 days simulation time, whichsupports the feasibility of meaningful simulations of summertime convection at this scale.
Note: For final conclusions a comparison to observations would be necessary/helpful
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 16 / 25
COPS DAQUA - Conclusions
1 The differences to ECMWF analysis fields are larger, whennesting chains are used.
2 The sensitivity of simulated precipitation to LBC updatefrequency is smaller than the sensitivity to nestingtechnique, despite strong synoptic forcing
3 When the ECMWF analysis is regarded to be the “truth", anECMWF driven 2-km resolution is most appropriate for thisstudy.
4 The chaotic discrepancies between runs with shiftedinitialization are low after ∼ 2 days simulation time, whichsupports the feasibility of meaningful simulations of summertime convection at this scale.
Note: For final conclusions a comparison to observations would be necessary/helpful
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 16 / 25
COPS DAQUA - Conclusions
1 The differences to ECMWF analysis fields are larger, whennesting chains are used.
2 The sensitivity of simulated precipitation to LBC updatefrequency is smaller than the sensitivity to nestingtechnique, despite strong synoptic forcing
3 When the ECMWF analysis is regarded to be the “truth", anECMWF driven 2-km resolution is most appropriate for thisstudy.
4 The chaotic discrepancies between runs with shiftedinitialization are low after ∼ 2 days simulation time, whichsupports the feasibility of meaningful simulations of summertime convection at this scale.
Note: For final conclusions a comparison to observations would be necessary/helpful
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 16 / 25
COPS DAQUA - Conclusions
1 The differences to ECMWF analysis fields are larger, whennesting chains are used.
2 The sensitivity of simulated precipitation to LBC updatefrequency is smaller than the sensitivity to nestingtechnique, despite strong synoptic forcing
3 When the ECMWF analysis is regarded to be the “truth", anECMWF driven 2-km resolution is most appropriate for thisstudy.
4 The chaotic discrepancies between runs with shiftedinitialization are low after ∼ 2 days simulation time, whichsupports the feasibility of meaningful simulations of summertime convection at this scale.
Note: For final conclusions a comparison to observations would be necessary/helpful
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 16 / 25
First Cosmo runs - July 2006
Period: 11. - 20. July 2006Characteristics:
Highly convective period in the Alps, Jura, Black ForestWeak synoptic forcingWe also assume stronger thermally driven circulations
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 17 / 25
July 2006 - Model setup
Same as for COPS DAQUA period, but:
Problem: Stripy patterns mostly visible in qv field at lowlevels.Solution: Modify horizontal diffusion
Note: Domain shifted slightly to the south, because of 50 kmrelaxation zone.
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 18 / 25
July 2006 - Sensitivity to horizontal diffusion
qv at 1200 UTC 13 July 2006, level 30/45
hdcoeff_t=0.75hdcoeff_u= 0.75
hdcoeff_q=0.
hdcoeff_t=0.5hdcoeff_u=0.5
hdcoeff_q=0.5lhdiff_mask=True
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 19 / 25
July 2006 - Sensitivity to horizontal diffusion
Area averaged rainrates
hdcoeff_t=0.75hdcoeff_u= 0.75
hdcoeff_q=0.
hdcoeff_t=0.5hdcoeff_u=0.5
hdcoeff_q=0.5lhdiff_mask=True
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 20 / 25
July 2006 - Period mean sounding Payerne
12 UTC
OBSCLM
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 21 / 25
July 2006 - Period mean sounding Payerne
00 UTC
OBSCLM
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 22 / 25
Outlook I: Near future
Comparison of July 2006 simulation with observational dataConvergence project: The influence of resolution on
moist convectionheat and moisture exchanges between PBL and freeatmosphere→ budget analysis
∂T∂t
= ADV +1
ρcpd
dpdt
+Lv
cpdSl +
Lv
cpdSf + Qr + MT + MHD
∂qx
∂t= ADV − (Sl + Sf )−
1
ρ√
G
∂
∂ζ(ρvT
x qx ) + MTqx + MHDqx
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 23 / 25
Outlook I: Near future
Thermally driven flows (“Alpine pumping”)representation in the modelimpact on triggering of moist convectionsensitivity to climate change using, e.g., surrogate scenarios
Lugauer , MZ 2005
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 24 / 25
Outlook II: General (CHIRP proposal)
Improve our understanding of moist convection overcomplex terrainSensitivity of numerical components upon the simulation ofmoist convection:
vertical resolutionhorizontal diffusionturbulence parametrization
Development of a cloud-resolving climate modeling suite
Enhance our knowledge about climate feedback processesand their influence on convection (e.g., soil moisture,cloudiness , temperature feedbacks)Long-term simulations (at least 20 years)Answer/reconsiderate typical climate-communityquestions/problems:
Higher frequency of heavy precipitation events, despite adecrease in mean precipitation?Interannual variability of temperature and precipitation?
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 25 / 25
Outlook II: General (CHIRP proposal)
Improve our understanding of moist convection overcomplex terrainSensitivity of numerical components upon the simulation ofmoist convection:
vertical resolutionhorizontal diffusionturbulence parametrization
Development of a cloud-resolving climate modeling suiteEnhance our knowledge about climate feedback processesand their influence on convection (e.g., soil moisture,cloudiness , temperature feedbacks)Long-term simulations (at least 20 years)Answer/reconsiderate typical climate-communityquestions/problems:
Higher frequency of heavy precipitation events, despite adecrease in mean precipitation?Interannual variability of temperature and precipitation?
Wolfgang Langhans C2SM - ETH - MeteoSwiss collaboration February 26, 2009 25 / 25