Title: WG3a activities in cloud microphysics and radiation
1WG3a activities in cloud microphysics and
radiation
- Ulrich Blahak, for the large part on behalf of
Axel SeifertGerman Weather Service, Offenbach
2Outline
- Microphysics
- Activities in the last year
- Short term plans
- Long term plans
- The same for radiation
- and revised cloud radiation coupling
3Microphysics recent work
- Improvement of supercooled LWC in mixed phase
clouds (F. Rieper, motivated by air craft icing
forecasts at DWD) - Development of improved treatment of cirrus ice
clouds for current one-moment schemes (PhD of C.
Köhler, DWD) - Development of improved snow melting
parameterization (PhD of C. Frick, DWD) - Interface to 2-moment scheme in official Version
code itself and necessary lookup table files
available on DWD ftp server. Still missing User
Guide
4Improvement of Supercooled LWC
- Much too less supercooled LWC in mixed phase
clouds - Changes to the microphysics
- Reduced diagnostic number of ice particles as
function of T (before, it was unplausibly too
high), therefore reduction of Bergeron-Findeisen-p
rocess in mixed phase clouds - Reduction of rain freezing rates (before, it was
unplausibly too high) - Parameterization of subgrid scale effects on
liquid water layers on top of ice cloud layers.
5Result reduced underprediction
January 18, 2013 Lindenberg
Aerosol
Observation
Ice SLW
Ice
COSMO (old)
COSMO
COSMO (new Ni)
Slides by F. Rieper, DWD
6Result impact on supercooled LWP
January 18, 2013 Lindenberg
Observation
good retrieval
COSMO-EU (old)
COSMO-EU (new NiSLW)
COSMO-EU (new Ni)
Slides by F. Rieper, DWD
7Ice nucleation current status
Homogeneous Freezing
Heterogeneous Freezing
Cloud droplet
Liquid Aerosol ( )
Immersion-
Deposition-
Condensation-
Contact-
Thomas Leisner, Institut für Meteorologie und
Klimaforschung FZ Karlsruhe und Institut für
Umweltphysik, Uni Heidelberg (modified)
Slides by C. Köhler, DWD
8Changes in the Cloud Ice Microphysics
- Implementation of state-of-the-art
parameterisations for homogeneous and
heterogeneous nucleation - New prognostic model variables
- 2-moment cloud ice scheme (still monodisperse
size distribution) - Changes in treatment of depositional growth for
cloud ice and snow - Limitation of heterogeneous nucleation with
prognostic budget variable for activated ice
nuclei - Introduction of cloud ice sedimentation
Slides by C. Köhler, DWD
DLR 06/06/2011
9COSMO-DE Model
MSG/SEVIRI
COSMO-Ice
COSMO Modell
- Implemented in COSMO
- Version 4.18
Slides by C. Köhler, DWD
10GME Model
- Overestimation of ice water content (IWC) of the
GME is reduced - RMSE reduced with the new cloud ice nucleation
scheme
Slides by C. Köhler, DWD
11GME Model
- Ice supersaturation improved due to new
depositional growth - In-cloud ice supersaturation is allowed for. IFS
assumes in-cloud saturation, which is not
compliant with in situ measurements
Slides by C. Köhler, DWD
12New snow melting scheme
- New prognostic snowflake water content
- Enables better parameterization of the melting
process - Leads to slower melting, more in accordance with
observations
Old
New
(Frick et al. 2013, GMDD, under review)
13New snow melting scheme
Meltwater on snow flakes, same section as slide
before
Different day, different region
One can have partially melted snow on the ground.
Affects prediction of precipitation phase on the
ground in winter time!
(Frick et al. 2013, GMDD, under review)
14Microphysics plans
- Short term (2013 2017)
- Common COSMO / ICON physics library
- Investigate dry precipitation bias in summer time
- Further testing of the works of C. Köhler and C.
Frick - Continuing work of F. Rieper regarding
supercooled LWC, demand of aviation forecasters
(aircraft icing) - 2-moment scheme further studies to evaluate
benefit in operational NWP consistent data
assimilation, otherwise we will most likely not
see the full benefit - Towards explicit hail forecasting with 2-moment
scheme - improvement of hail melting / shedding following
methodology of C. Frick (Postdoc work of V. Sant
in HD(CP)2 , Hamburg) - Resolution requirements?
- Longer term (2018 2020)
- Keep an eye on scientific developments regarding
subgrid scale processes in cloud microphysics
parameterization (effects of turbulence and
spatial inhomogeneity)
15Microphysics recent publications
- Frick, C., A. Seifert, and H. Wernli, A bulk
parameterization of melting snowflakes with
explicit liquid water fraction for the COSMO
model version 4.14, Geosci. Model Dev. Discuss.,
6, 2927-2966, 2013 - Köhler, C Cloud ice particle nucleation and
atmospheric ice supersaturation in numerical
weather prediction models, PhD thesis, 2013 - Seifert, A., Köhler, C., and Beheng, K. D.
Aerosol-cloud-precipitation effects over Germany
as simulated by a convective-scale numerical
weather prediction model, Atmos. Chem. Phys., 12,
709-725, doi10.5194/acp-12-709-2012, 2012 - Naumann, A. K., Seifert, A., and Mellado, J. P.
A refined statistical cloud closure using
double-Gaussian probability density functions,
Geosci. Model Dev. Discuss., 6, 1085-1125,
doi10.5194/gmdd-6-1085-2013, 2013
16Radiation recent work
- New modis derived total albedo (Frank Brenner,
DWD) - External parameters for orographic radiation
corrections finally available in new EXTPAR
17Radiation plans
- Short Term (2013 2017)
- Common COSMO / ICON physics library
- Test parameterization of 3D radiation effects
(work from Uni Munich within Extramural Research
program), TICA, McICA - Test McSI Monte Carlo Spectral Integration
methods (B. Ritter) - Revision of cloud - radiation feedback (U.
Blahak) - Test alternative scheme RRTM for COSMO (available
via common physics library) - Consistent coupling with ICON
- RG92 has problems for domain heights gt 25 km
- Longer Term (2015 2017)
- Likely Revision of cloud - radiation feedback
cont.
18Revision of cloud radiation feedback
- In the COSMO radiation scheme (Ritter Geleyn
1992), the optical properties (extinction coeff.,
single scattering albedo, asymmetry factor) only
depend on QC respectively QI. - Nowadays more modern parameterizations based on
an effective radius Re are available. - From inherent assumptions about N(D) and particle
shapes in state-of-the-art microphysical models
Re can be deduced. - Then optical properties fct (QX, Re, ?)
- For the gridscale clouds, only a fraction k0.5
of QI and/or QC is considered in the radiation
scheme (tentative effective factor to take into
account subgrid scale variability). Test larger,
more realistic value for todays models. - Radiation scheme is only aware of cloud droplets
and cloud ice! Extend to precipitating species
(most importantly snow)
19Revision of cloud-radiation feedback
Total QS factor 5 and more !
Total QI
20Revision of cloud-radiation feedback
Case study COSMO-DE, 13.6.2012, 00UTC run, domain
average T_2M
Control Tegen aerosols hydrometeor
radiative properties depending on Reff qg,
qs radqfact 0.5 -gt 0.75
Potential big impact, but it looks not always so
nice! Careful re-tuning of the model necessary.
Current model tuned to compensate the cloud
radiative bias!
- - - - Synop Obs.