Impact of Tropical Impact of Tropical Easterly Waves during Easterly Waves during the North American the North American Monsoon (NAM) using a Monsoon (NAM) using a Mesoscale Model Mesoscale Model Jennifer L. Adams Jennifer L. Adams CIMMS/University of Oklahoma CIMMS/University of Oklahoma Dr. David Stensrud Dr. David Stensrud NOAA/National Severe Storms Laboratory NOAA/National Severe Storms Laboratory October 27, 2005 October 27, 2005
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Impact of Tropical Easterly Waves during the North American Monsoon (NAM) using a Mesoscale Model
Impact of Tropical Easterly Waves during the North American Monsoon (NAM) using a Mesoscale Model. Jennifer L. Adams CIMMS/University of Oklahoma Dr. David Stensrud NOAA/National Severe Storms Laboratory October 27, 2005. What is the NAM?. - PowerPoint PPT Presentation
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Impact of Tropical Easterly Impact of Tropical Easterly Waves during the North American Waves during the North American
Monsoon (NAM) using a Monsoon (NAM) using a Mesoscale ModelMesoscale Model
Jennifer L. AdamsJennifer L. AdamsCIMMS/University of OklahomaCIMMS/University of Oklahoma
Dr. David StensrudDr. David StensrudNOAA/National Severe Storms LaboratoryNOAA/National Severe Storms Laboratory
October 27, 2005October 27, 2005
What is the NAM?What is the NAM?
Distinct shift in mid-level winds accompanied by Distinct shift in mid-level winds accompanied by an increase in rainfallan increase in rainfall
Occurs over NW Mexico and SW United StatesOccurs over NW Mexico and SW United States
Onset usually in July and decays in SeptemberOnset usually in July and decays in September
Great deal of variabilityGreat deal of variability
NAM Moisture SourceNAM Moisture Source
Moisture source current consensusMoisture source current consensus– low-level moisture low-level moisture Gulf of California (GoC) Gulf of California (GoC) – mid-level moisture mid-level moisture Gulf of Mexico (GoM) Gulf of Mexico (GoM)
Transport of low-level moisture by gulf surges (one Transport of low-level moisture by gulf surges (one way)way)
Induced by passage of tropical easterly waves Induced by passage of tropical easterly waves (TEWs) over GoC and/or outflow boundaries/gust (TEWs) over GoC and/or outflow boundaries/gust frontsfronts
Gulf surgesGulf surges
Hales (1972) and Brenner Hales (1972) and Brenner (1974)(1974)
Loss of definition upon entering Loss of definition upon entering desert SWdesert SW
Adams and Comrie (1997)
MotivationMotivation
NAM predictability very lowNAM predictability very low
TEWs influential to strength of NAMTEWs influential to strength of NAM
Inverse relationship between NAM and U.S. Inverse relationship between NAM and U.S. central plains rainfallcentral plains rainfall
GoalsGoals
Explore impact of TEWs on the NAMExplore impact of TEWs on the NAM– gulf surgesgulf surges– NAM region rainfallNAM region rainfall
Control run of MM5 compared to simulation Control run of MM5 compared to simulation where TEWs are removedwhere TEWs are removed
Model DescriptionModel Description
Pennsylvania State University/National Center for Pennsylvania State University/National Center for Atmospheric Research Mesoscale Model (MM5)Atmospheric Research Mesoscale Model (MM5)
Model domain (350x180x23) at 25 km grid spacingModel domain (350x180x23) at 25 km grid spacing
Kain-Fritsch convective scheme (Kain and Fritsch 1990)Kain-Fritsch convective scheme (Kain and Fritsch 1990) MRF PBL scheme (Hong and Pan 1996)MRF PBL scheme (Hong and Pan 1996) Simple water and ice microphysics (Dudhia 1989)Simple water and ice microphysics (Dudhia 1989) Global terrain dataset – 10 minute resolution (25 USGS Global terrain dataset – 10 minute resolution (25 USGS
land use categories)land use categories) Rapid Radiative Transfer Model for radiationRapid Radiative Transfer Model for radiation 5-layer soil model (Dudhia 1996)5-layer soil model (Dudhia 1996)
Model initializationModel initialization: NCEP/NCAR reanalysis data: NCEP/NCAR reanalysis data– supply boundary conditions every 6-hsupply boundary conditions every 6-h– GoC SSTs set to constant 29.0GoC SSTs set to constant 29.0ºCºC
MethodologyMethodology
Four one-month periodsFour one-month periods– July 1990, July 1992, August 1988, August 1986July 1990, July 1992, August 1988, August 1986
ECMWF reanalysis data and CPC precipitation ECMWF reanalysis data and CPC precipitation analysisanalysis
Varying number of TEWs and rainfall amountsVarying number of TEWs and rainfall amounts
Harmonic analysis to remove TEWs from Harmonic analysis to remove TEWs from boundary conditionsboundary conditions– Reed et al. (1977) – TEWs average wavelength 2500 Reed et al. (1977) – TEWs average wavelength 2500
km, propagation speed of 8 m/s, and average period of km, propagation speed of 8 m/s, and average period of 3.5 days3.5 days
TEWs with periods of approx. 3.5-7.5 days TEWs with periods of approx. 3.5-7.5 days identified – amplitudes replaced with value identified – amplitudes replaced with value of zero south ofof zero south of 30 30ºNºN– T, q, u, v, ght, and slpT, q, u, v, ght, and slp
HarmonicsHarmonicsHarmonicHarmonic Period (days)Period (days)
18 surges over 4 18 surges over 4 months examinedmonths examined– 17 induced by 17 induced by
TEW/tropical stormTEW/tropical storm
Varying degrees of Varying degrees of strength and frequencystrength and frequency
MonthMonth # of surges# of surges
August 1986August 1986 66
August 1988August 1988 44
July 1990July 1990 55
July 1992July 1992 33
Surge CriteriaSurge Criteria
Used time-series data at Puerto Penasco, Mexico Used time-series data at Puerto Penasco, Mexico as a “first pass” to ID surge eventsas a “first pass” to ID surge events
Surges occur when:Surges occur when:– winds shift to southerlywinds shift to southerly– maximum daily dewpoint exceeding 65maximum daily dewpoint exceeding 65ºF for at least 2 ºF for at least 2
daysdays– peak wind speeds greater than 5 m/speak wind speeds greater than 5 m/s– decrease in daily max temp of greater than 5ºF from the decrease in daily max temp of greater than 5ºF from the
previous dayprevious day
August 1986 Time-seriesAugust 1986 Time-seriesAugust 1986 Wind Direction Time-series at Puerto Penasco,
Mid-latitude forcing -- 12Z Aug Mid-latitude forcing -- 12Z Aug 20, 198620, 1986
TEW No TEW
Adding TEWsAdding TEWs
July 1992 --> weak monsoon season July 1992 --> weak monsoon season July 1990 --> strong monsoon seasonJuly 1990 --> strong monsoon season
Removed waves from July 1992 boundary Removed waves from July 1992 boundary conditionsconditions
Inserted July 1990 TEWs into July 1992 Inserted July 1990 TEWs into July 1992 boundary conditionsboundary conditions
MM5 HMM5 Hövmoller Diagramsövmoller Diagrams
Hybrid
July 1992
12Z July 19 Hybrid run TEW passage12Z July 19 Hybrid run TEW passage
Surge (00Z July 20)Surge (00Z July 20)
Hybrid July 1992
Hybrid - July 1992 TEW RunHybrid - July 1992 TEW Run
ConclusionsConclusions
Harmonic analysis successfully removes TEWs Harmonic analysis successfully removes TEWs from the model boundary conditionsfrom the model boundary conditions
MM5 reproduces surges over the GoCMM5 reproduces surges over the GoC– full gulf, partial gulf, and SMOfull gulf, partial gulf, and SMO
NAM shows great deal of interannual variabilityNAM shows great deal of interannual variability
Surges impacted by absence of TEWsSurges impacted by absence of TEWs
ConclusionsConclusions
Reduction of surge events in the no-TEW run Reduction of surge events in the no-TEW run reduced rainfall amounts over the NAM regionreduced rainfall amounts over the NAM region
Absence of TEWs increases precipitation over the Absence of TEWs increases precipitation over the central United Statescentral United States– CAPECAPE– mid-latitude forcingmid-latitude forcing
Adding waves enhances NAMAdding waves enhances NAM– more distinct surge eventsmore distinct surge events– increase in rainfall over core monsoon regionincrease in rainfall over core monsoon region
Harmonic AnalysisHarmonic Analysis Since the model data used to create the boundary conditions are equally Since the model data used to create the boundary conditions are equally
spaced in time and contain no missing values, the model data can be spaced in time and contain no missing values, the model data can be represented exactly as a series of n points in time by summing a series of n/2 represented exactly as a series of n points in time by summing a series of n/2 harmonic functions….harmonic functions….