Title: Toward a Mesoscale Modeling-Observations Plan for NAME
1Toward a Mesoscale Modeling-Observations Plan for
NAME
Mitchell W. Moncrieff, NCAR/MMM, Boulder CO
NAME 3rd Science Working Group Meeting, Oct 25th
2002, George Mason University, VA.
2The context
- Recommendation The U.S. CLIVAR SSC has
recommended that NAME organizes a Mesoscale
Modeling-Observations (MM-OBS) team aimed at
interlinking the mesoscale modeling community
(especially physical parameterization interests)
and NAME field measurements. - Motivation Contribute to a ramp-up strategy for
the NAME Field Campaign provide guidance on
needs and priorities for NAME observations
identify sustained observational requirements
identify additional process studies necessary to
reduce uncertainties and develop partnerships
between observations and modeling. - Focus Parallel to the Atmospheric Global
Circulation ModelObservations (AGCM-OBS) team
focus on the warm-season diurnal cycle over the
US and Mexico in AGCMs.
3Basic points
- Physical processes on scales order 1 km-100 km
are fundamental to the diurnal cycle of
convection. - Diurnal cycle and the organization of convection
on mesoscales cannot be legitimately separated. - Mesoscale processes are not resolved in GCMs,
not resolved or distorted in NWP models and RMMs
(the scale-separation issue). - Mesoscale processes measured by the NAME Tier 1
observing facilities are represented explicitly
by cloud-system-resolving models (CSRMs) over a
similar dynamic range (1 km 100s km). - Gives prospect for understanding the diurnal
cycle and the large-scale role of organized
convection in complex coastal terrain and
addressing convective parameterization aspects.
4CSRMs interlink Tier 1 observations, regional
mesoscale modeling and parameterization goals of
the NAME
Parameterization
NAME Tier 1 observations
Regional mesoscale modeling
Cloud-system-resolving models (CSRM)
5- MM-OBS tasks ltlinkagesgt
- Develop a research strategy complementary to the
AGCM-OBS Team ltdiurnal cycle of convection in
complex coastal terraingt - Define how MM-OBS will complement on-going
regional mesoscale modeling ltexplicit
convection, mesoscale observations of surges,
etc.gt - Contribute to NAME needs for weather/climate
prediction ltparameterization of convection,
cloud-radiation interaction, effects of terraingt
6Cross-scale linkages
NAME Tier-1 observations, Cloud-System-
Resolving Models
General Circulation (Climate) Models
7Over-arching objectives of MM-OBS
- To describe, model and understand the processes
that determine the diurnal cycle of convection
and the attendant distribution of precipitation
in the core region of the NAME. - To use the explicit cloud-system-resolving model
approach to improve the representation of
convection in prediction models, with focus on
the effects of complex coastal terrain.
8Specific objectives of MM-OBS
- To describe, model and understand the processes
that determine the diurnal cycle of convection
and the mesoscale organization of convection in
the core region of the NAME. - To address convective parameterization issues in
the NAME locale using cloud-system-resolving
models (CSRM). - To describe, model and understand the mechanisms
responsible for the generation of southerly
surges and low-level jets in the Gulf of
California. - To quantify far-field relationships between
organized convection in the mid-US continent and
convective cloud systems in NAME Tier 1 region in
regard to tropical easterly waves and
mid-latitude westerly troughs. -
9Diurnal cycle and convective organization in NAME
- Processes
-
- - sea- and land-breeze circulations
- - orographically and convectively
generated gravity waves - - propagating, organized convection
(non-local dynamics) - - lee vortices in low-Froude-number mean
flow - - ITCZ and easterly wave flaring
- - Gulf-surge dynamics
- - far-field influences
- Parameterization
- - convective triggering, transport,
closure - - convective organization,
scale-separation -
10Processes in complex coastal terrain
- Interaction between convectively generated
gravity waves, terrain and the diurnal cycle of
convection. - Lee-effects of thermally forced low Froude number
flow past complex terrain on the
location/life-cycle of convection. - Role of local forcing (surface fluxes,
quasi-stationary convergence zones, sea-breeze
and land-breeze circulations). - Processes that organize convection on the
mesoscale. - Dynamics of southerly surges, LLJ in Gulf of
California in the context of easterly waves and
convection. - Far-field influence of the monsoon moisture and
dynamics on precipitating systems that form over
Colorado, mod-continental US.
11Convective triggering sea-breeze dynamics
Crook (2001)
12Convective triggering low-level flow and shear
Moncrieff and Liu (1999)
13Orographically and convectively coupled gravity
waves
Mapes et al. (2002)
14Low-Froude-number lee vortices
Reisner and Smolarkiewicz (1994)
15Easterly waves and ITCZ flares
TRMM
GOES
16Gulf surges
Adams and Comrie (1997)
17Interlinking NAME Tier 1 observations, CSRMs and
parameterization The GATE legacy
18 NAME domains
19Soundings, radar networks and CSRM simulations
GATE
NAME Tier 1
20Deployment Issues
Squall system
21Convection and easterly waves the GATE simulation
- CSRMs have simulated convection over tropical
oceans and in association with major multiscale
field-programs GATE and TOGA COARE. - Large-scale forcing prescribed from objectively
analyzed data from network of tropospheric
soundings. - Results used for evaluation/development of
physically based parameterization of convection
and cloud-interactive radiation. - This multiscale cloud-system simulation is
feasible for the NAME Tier 1 domain in the
challenging physical setting of complex coastal
terrain.
22Easterly-wave-modulated convection
- Synoptic-scale baroclinic variability
(large-scale forcing, shear) by easterly waves
controlled the organization of convection in GATE
over a 1-week period. - CSRM used to study this aspect and attendant
parameterization issues using large-scale forcing
derived from GATE sounding network. - Similar strategy could be used for NAME Tier 1,
complex coastal terrain an extra challenge.
23(No Transcript)
24Convection and GATE easterly waves A snapshot
25CSRM convective mass fluxes
Grabowski et al. (1998)
26CSRM clouds and radiation
27Interlinking RMMs and CSRMs Hierarchical modeling
CSRM
Kain-Fritsch
- In the hierarchical approach, CSRM
parameterizations are run using the same
non-hydrostatic dynamical core but at different
resolution. - Left CSRM run at 2-km grid resolution.
- Right Kain-Fritsch (K-F) parameterization at
15-km grid-resolution.
28CSRM-derived parameterization issues
- Overly deep convection and extensive cirrus a
result of excessive detrainment of condensate. - Sensitivity to grid-scale moisture feedback from
convective parameterization. - Parameterized overshoot-generated adiabatic
cooling at cloud tops too strong, resulting in
cold bias. - Over-prediction of low-level moisture attributed
to parameterized downdrafts. - These shortcomings stem from the single-plume
model used in the parameterization, which does
not represent the trimodal distribution of
cumulonimbus, congestus, and shallow convection
observed by Johnson et al. (1999) and simulated
by the CSRM.
29Easterly waves, ITCZ moist flares in TRMM
monthly composites
30Far-field influences
Saleeby and Cotton (manuscript)
31Liu and Moncrieff (2003)
32Total condensate
18 UTC 12 MDT
00 UTC 18 MDT
06 UTC 00 MDT
12 UTC 06 MDT
33Conclusion
- Key point CSRMs can integrate the observational
and parameterization objectives and the mesoscale
and large-scale objectives of the NAME. - Use of CSRMs in convective parameterization
development developed over a number of years by
international GEWEX Cloud System Study (GCSS) and
also by individual efforts. - Field-observation/CSRM collaboration a legacy of
GATE and TOGA COARE field programs. - Complex coastal terrain of NAME a challenging
next step in collaborative observational-modeling
efforts. - Evaluation of CSRMs an intensive activity,
relying on the NAME Field Program design (e.g.,
sounding network, radar, lidar) and post-field
analysis (mesoscale, cloud-scale)