Multiscale Data Assimilation Forcing for LASSO · 1. Preparation for being used as a...
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Multiscale Data Assimilation Forcing for LASSO
Zhijin Li1,2, Xiaoping Cheng1, William Gustafson3, Heng Xiao3, Andrew Vogelmann4, Satoshi Endo4, Tami Toto4 & Jinwon Kim1
1UCLA, 2JPL, 3PNNL, 4BNL
Breakout Session 2, Monday, 13 March 2017, 4–6 p.m. March 23, 2017 1
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LASSO LES Initialization and Large Scale Forcing
~20km
LESisdrivenby• Largescalehorizontalandverticaladvection• Surfacesensibleheatflux,latentheatflux,
albedoandskintemperature
VerticalProfilesforInitializingLES:• Temperature,moisture,andwinds
LargeScaleForcing:• Horizontaladvectionoftemperatureand
moisture• Verticalvelocity• Geostrophicwinds• Horizontaladvectionofhydrometeors(?)
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Challenges and Requirements on Large Scale Forcing
Strategy:NestedWRFatacloudresolvingresolutionwithmultiscaledataassimilation(MSDA)
ARMSGP
Threedomainnestedconfiguration
Aresolutionof2 kmintheinnerdomain1. Multi-scale/scale-aware
forcing
2. Forcingfornon-periodic
domains
3. Cloudandprecipitation
relatedvariables(?)
300km
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AMulti-ScaleThree-DimensionalVariationalDataAssimilation(MSDA)System
MSDAFeatures:
1. Existing
analysis/reanalysisplus
MSDAδx
2. Developedontopofthe
NCEPWRFGSI
3. Enhancedeffectiveness
ofassimilatingARM
observations
Existinganalysis/reanalysis(FNL,NARR,…)
( )
( ) )()(21
21)(min
)()(21
21)(min
11
11
yxHRHHByxHxBxxJ
yxHRHHByxHxBxxJ
ST
LT
SSSTSSx
LT
ST
LLLTLLx
S
L
ddddddd
ddddddd
d
d
-+-+=
-+-+=
--
--
( ) )()(21
21)(min 11 yxHRyxHxBBxxJ T
SLT
xddddddd --++= --
x = xL + xS
Decompositionoflargeandsmallscales
Smallscaledataassimilation(Lietal.2015MWR;2015,JGR)
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Impact of MSDA forcing on LES
3/23/17 5
Obs
LES
MSDA
CloudsinMSDAhavemuchsimilaritywiththoseinLES
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MSDA Impact on Vertical Profiles
3/23/17 6
Readytoexploresecondarydiscrepancieswhenmoreverticalprofilesareavailable?
MSDA
Sonde
• MSDAhelpsLESrepresenttheboundarylayer
• DiscrepanciesfromtheSonde profilesignificant
• Multipleverticalprofilesneededtoevaluate
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Improved effectiveness of MSDA Using Observing System Experiment (OSE)
Improvedeffectivenessofassimilatingradiances1. Raisedthetoplevelto10hPa2. Increasedtheverticalresolution3. Adjustederrorcovariance
Withsatelliteradiances
W/Osatelliteinfraredradiance
Withsatelliteinfraredradiance
WewilluseOSEstoimprovetheassimilationofvariousmeasurements
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On-going and Future Work
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1. Preparation for being used as a quasi-realtime system
2. Observing system experiments (OSEs) to improve the impact of Raman lidar profile, wind profilers and others on LES.
3. Nesting LES to Cloud-resolving WRF with MSDA
4. Optimization of forcing ensemble members: wide spread of skill scores
5. Implementation of ensemble-MSDA WidespreadofskillscoresofMSDAmembers?