High-resolution RCM simulation of Kansas convective storms: Preliminary results William J. Gutowski,...
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Transcript of High-resolution RCM simulation of Kansas convective storms: Preliminary results William J. Gutowski,...
High-resolution RCM simulation High-resolution RCM simulation of of
Kansas convective storms: Kansas convective storms: Preliminary resultsPreliminary results
William J. Gutowski, Jr., & David FloryWilliam J. Gutowski, Jr., & David Flory
Dept. Geol. & Atmospheric SciencesDept. Geol. & Atmospheric SciencesDept. of AgronomyDept. of Agronomy
Iowa State UniversityIowa State University
MotivationMotivation
Study Basin-Scale Land-Atmosphere Water CycleStudy Basin-Scale Land-Atmosphere Water Cycle
Focus: Walnut River Basin (Kansas, USA)Focus: Walnut River Basin (Kansas, USA)
GCIP Large-Scale GCIP Large-Scale Area - SouthwestArea - Southwest
Observations:Observations:
CASESCASES
ABLEABLE
ARMARM
MotivationMotivation
Flat TerrainFlat Terrain
Convective Convective SystemsSystems
Study Basin-Scale Land-Atmosphere Water CycleStudy Basin-Scale Land-Atmosphere Water Cycle
Focus: Walnut River Basin (Kansas, USA)Focus: Walnut River Basin (Kansas, USA)
MotivationMotivation
10-6
10-4
10-2
100
0 2 4 6 8 10
Daily Precip. Intensity: Apr - Sep
OBS-1d
MOD-1d
frac
tion
[cm/d]
MotivationMotivation
10-6
10-4
10-2
100
0 2 4 6 8 10
Daily Precip. Intensity: Apr - Sep
OBS-1d
MOD-1d
frac
tion
[cm/d]
Model & SimulationModel & Simulation
NCAR/Penn State Non-hydrostatic MM5 (V3.3)NCAR/Penn State Non-hydrostatic MM5 (V3.3) Modified Grell cumulus convectionModified Grell cumulus convection Mixed-phase microphysicsMixed-phase microphysics RRTM & Dudhia radiationRRTM & Dudhia radiation Burk-Thompson PBLBurk-Thompson PBL Smirnova et al. land surface modelSmirnova et al. land surface model
Parallel Code Parallel Code Cluster computation Cluster computation
20-km grid (120 x 150)
Grell & Pagowski
1994 - 1999 1999
Model & SimulationModel & Simulation
Model & SimulationModel & Simulation
5-km grid (121 x 165)
May - August 1997 (after spin-up)
20-km grid (120 x 150)
Grell & Pagowski
1994 - 1999
Results - PrecipitationResults - Precipitation
0
100
200
300
400
500
120 140 160 180 200 220 240
Domain Averaged Precipitation
CDC Obs
Model
Cum
ulat
ive
Pre
cip
[mm
/d]
Day of 1997
Results - PrecipitationResults - Precipitation
0
2
4
6
8
0 4 8 12 16 20 24
Precipitation Diurnal Cycle
EastWestWhole Domain
[mm
/d]
Time [Local ST]
Precipitation & Vertical WindPrecipitation & Vertical Wind
20 LST - 20 June20 LST - 20 June
ContoursContours
Precip: Precip: last hour last hour 5 mm/d 5 mm/d (filled)(filled)
Vert. Motion: Vert. Motion: 300 hPa 300 hPa instantaneousinstantaneous 2 m/s 2 m/s (lines)(lines)
Precipitation & Vertical WindPrecipitation & Vertical Wind
16 LST - 20 June16 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
17 LST - 20 June17 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
18 LST - 20 June18 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
19 LST - 20 June19 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
20 LST - 20 June20 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
21 LST - 20 June21 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
22 LST - 20 June22 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
23 LST - 20 June23 LST - 20 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
00 LST - 21 June00 LST - 21 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
01 LST - 21 June01 LST - 21 June
Precipitation & Vertical WindPrecipitation & Vertical Wind
Results - PrecipitationResults - Precipitation
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
0 5 10 15 20 25 30 35
Precipitation Histogram
CDC5-km model
Fra
ctio
nal C
ount
[cm/d]
Results - PrecipitationResults - Precipitation
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
0 5 10 15 20 25 30 35
Precipitation Histogram
CDC5-km model20-km aggregate
Fra
ctio
nal C
ount
[cm/d]
Results - PrecipitationResults - Precipitation
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
0 5 10 15 20 25 30 35
Precipitation Histogram
Aggregate (20 km)
20-km model
Fra
ctio
nal C
ount
[cm/d]
Results - PrecipitationResults - Precipitation
10-3
10-2
10-1
0 1 2 3 4
Precipitation Histogram
CDC5-km model20-km model
Fra
ctio
nal C
ount
[cm/d]
Results - Vertical MotionResults - Vertical Motion
10-9
10-7
10-5
10-3
10-1
-10 0 10 20 30 40
Vertical Motion Frequency
5-km20-km
Fre
quen
cy
[m/s]
Results - Vertical MotionResults - Vertical Motion
10-9
10-7
10-5
10-3
10-1
-10 0 10 20 30 40
Vertical Motion Frequency
5-km20-kmAggregate
Fre
quen
cy
[m/s]
Need More FromNeed More From Convection Parameterization?Convection Parameterization?
Grid % Convective Param Precipitation
5 km 29%
20 km 30%
ConclusionConclusion
1.1. Credible simulation of precipitationCredible simulation of precipitation Cumulative amountCumulative amount Diurnal cycleDiurnal cycle Somewhat organized evolutionSomewhat organized evolution
2.2. But … excessive single-grid vertical But … excessive single-grid vertical motion?motion? Strong motion, generally at single pointsStrong motion, generally at single points Excessive high-intensity precip. on 20-om Excessive high-intensity precip. on 20-om
grid?grid?
ConclusionConclusion
Thanks to: Thanks to: Georg Grell & Mariusz Pagowski (FSL)Georg Grell & Mariusz Pagowski (FSL)John Taylor (Argonne NL)John Taylor (Argonne NL)Martyn Clark (CIRES)Martyn Clark (CIRES)
Acknowledgement: U.S. NOAA GAPPAcknowledgement: U.S. NOAA GAPP
ProgramProgram
http://www.ogp.noaa.gov/mpe/gapp/gapp/abstracts/clark.htm
Precipitation & Vertical WindPrecipitation & Vertical Wind
Results - PrecipitationResults - Precipitation
0
5
10
15
20
25
120 140 160 180 200 220 240
Daily Precipitation
CDC OBS
Model
[mm
/d]
Day of 1997
Station Distribution - CDC AnalysisStation Distribution - CDC Analysis
Precip. Diurnal Cycle Precip. Diurnal Cycle Upper Ms. RiverUpper Ms. River
QuickTime™ and a GIF decompressor are needed to see this picture.
Results - PrecipitationResults - Precipitation
ResultsResults
0
20
40
60
80
100
120
0 20 40 60 80 100 120 140
Scaling
Code
Perfect ScalingSim
ula
ted
Ho
urs
per
Ho
ur
# Nodes