JOURNAL
OF GEOPHYSICAL
RESEARCH,
VOL. 105, NO. C10, PAGES 23,967-23,981, OCTOBER 15, 2000
Cyclone surface pressure fields and frontogenesis from NASA
scatterometer (NSCAT) winds
David F. Zierden, Mark A. Bourassa, and James J. O'Brien
Center for Ocean-Atmospheric
PredictionStudies,Florida State University,Tallahassee,32306-2840
Abstract. Two extratropicalmarine cyclonesand their associatedfrontal featuresare
examinedby computingsurfacepressurefieldsfrom NASA scatterometer(NSCAT)
winds.A variationalmethod solvesfor a new surfacepressurefield by blendinghighresolution(25 km) relativevorticitycomputedalongthe satellitetrack with an initial
geostrophicvorticityfield. Employingthis methodwith eachsuccessive
passof the satellite
over the studyarea allowsthis surfacepressurefield to evolveas dictatedby the relative
vorticitypatternscomputedfrom NSCAT winds.The result is a high-resolutionsurface
pressurefield that capturesfeaturessuchas fronts and low-pressurecentersin more detail
than National Centersfor EnvironmentalPrediction(NCEP) reanalyses.While usingthe
actual relative vorticityto adjustthe geostrophicvorticityignoresthe ageostrophyof
surfacewinds,which can be significantin the vicinity of fronts and jet streaks,it is a
necessaryapproximationgiven that the techniqueusesonly surfacedata. The NSCAT
surfacepressurefieldsprove to be nearly as accurateas NCEP reanalyseswhen compared
to ship and buoy observations,
whichis an encouragingresultgiventhat NCEP reanalyses
incorporatea myriad of data sourcesand the NSCAT fieldsrely primarily on one source.
In addition,the high-resolutionrelativevorticityfieldscomputedfrom NSCAT winds
reveal the location of surfacefronts in great detail. These fronts are verified usingNCEP
analyses,in situ data, and satelliteimagery.
the assimilationof ERS-1 windsinto the EuropeanCentre for
Medium-Range Weather Prediction (ECMWF) model imThe lack of conventionaldata overthe oceanshaslongbeen pactedthe forecastsonlymarginally[Hoffman,1993].Andrews
a limitingfactorin the accuracyof weatherforecasting[Atlaset and Bell [1998] demonstratedmarked improvementsin the
al., 1985]. Often, the only data availableare surfaceobserva- United KingdomMeteorologicalOffice forecastsby assimilattionsfrom shipsand buoys,whichare sparseoutsideshipping ing ERS-1 winds,particularlyover the SouthernOceanwhere
lanesand the Tropical Ocean-GlobalAtmosphereexperiment conventionaldata are sparse.More recently,Atlas and Hoff(TOGA)-Tropical Atmosphere-Ocean(TAO) buoy array. man [2000]foundthat the greatestpositiveimpactsof NSCAT
Conventionaldata are now supplementedwith satellite data, winds on NWP forecasts resulted from the vertical extension of
and the challengelies in findingmethodsto utilize thesenew surfacewinds and the modificationof surfacepressurefields.
1.
data
Introduction
sources best.
One
such source
is surface
wind
vector
measurementsform spacebornescatterometers,
which can be
usedto derive surfacepressurefields.
NASA scatterometer(NSCAT) and other scatterometers
provided wind measurementsover the ocean with much
greaterresolutionandcoveragethanwere previouslyavailable.
Recentresearchlooked to find waysto utilize this high-quality
data source.A commonapproachwas to form griddedproducts [Liu et al., 1998; Bourassaet al., 1999; Verschellet al.,
1999].Thesegriddedproductswere usedto drive oceancirculation models,to improvesurfacefluxesfor generalcirculation
models,and to studythe evolutionof regionalwinds.
The assimilationof scatterometerwindshas alsohad a positive impact on numericalweather prediction(NWP). Early
impact studies[Baker et al., 1984, Duffy et al., 1984] using
Seasat-A winds improved surface analysessignificantly,but
had limited effectson higher levelsand forecasts.Duffy and
Atlas [1986] first demonstratedimproved forecastswith the
vertical extensionof Seasat-Asurfacewinds,which adjusted
massat higherlevelsof the model,not just the surface.Later,
Copyright2000 by the American GeophysicalUnion.
Paper number 2000JC900062.
0148-0227/00/2000JC900062509.00
Some studieshave employedscatterometerwinds in diagnosticstudiesof midlatitudeand tropicalcyclones.In manyof
these studies,scatterometerswere only one of many data
sourcesimplementedin improvingNWP analysesof the feature [Antheset al., 1983;Tomassiniet al., 1998;Liu et al., 1998].
In contrast,Harlan and O'Brien [1986] assimilatedonly Seasat-A
scatterometer
data with National
Centers
for Environ-
mental Prediction(NCEP, formerly NMC) surfacepressure
fieldsto obtainan improvedestimateof the centralpressurein
the QE-II
storm of 1978. All of these studies showed how
scatterometerwindsimprovedestimatesof the central surface
pressuresand predictedintensitiesof the systems.
Brownand Zeng [1994] developeda methodfor computing
surfacepressurefields in midlatitude cyclonesusing ERS-1
windsfrom a singleswathand a boundarylayermodel.Surface
gradientwindswere foundusingERS-1 wind data as input to
the boundarylayer model. Surfacepressureswere then computed from the gradientwinds,and a referencepressurewas
locatedwithin the field. The computedsurfacepressurefields
distinguished
fronts and locatedthe centersof cyclonesaccuratelywhile givingimprovedestimatesof centralpressureover
NCEP analyses.
Hsu and Wurtele[1997]employedthismethod
with Seasat-Awinds in a similar study.The strengthof the
23,967
23,968
ZIERDEN
ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
3OOO
iii!iiiii•iiiii•iiii!iii I
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2.
2.1.
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,
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NSCAT
The primarydatausedin this studyare the NSCAT2 levelII
winds with a resolutionof 25 km along the satellite'spath.
Thesewindsare an updatedversionprocessedby the Jet PropulsionLaboratoryfrom measuredbackscatterusingan improved model function. NSCAT operated aboard Japan's
ADEOS for 9 monthsfrom late September1996throughJune
1997. NSCAT was the first of a new generationof scatterometers; it used many technologicaladvancesto improve the
quality, coverage, and resolution of near-surface winds.
NSCAT'sradaroperatedin Ku band(13.995GHz) ratherthan
the C band as was done by ERS-1. This frequencyled to
::::::::::::::::::::::::
::::::::::::::::::::::::
Data
:::::::::::::::::::::::
greateraccuracy
at low windspeeds(<4 m s-i), although
........................
........................
::::::::::::::::::::::::
sensitivityto attenuationby liquid water was increased.Engineering advancementsin the sensorsincreasedthe signalto
km
noiseratio of the backscattermeasurements,
greatlyimproving
Figure 1. Data coverageandresolutionalongthe path of the ambiguityselection.In addition, each wind cell was viewed
ADEOS. Dots mark the relativelocationof eachwind sample. from three different angles. The NSCAT radar was dualpolarized from one antenna, providing additional measurementsto aid in the ambiguityselection.NSCAT wasequipped
1000
0
1000
to measure backscatter on both sides of the satellite track,
boundarylayerapproachwastwofold:(1) the surfacepressure doublingthe coverageof ERS-1, which viewed only on one
field was derived almost exclusivelyfrom scatterometerdata,
and (2) swathdata were used directly,without averagingin
spaceor time. The drawbackwasthat pressures
couldonlybe
computedwithin the swathof wind data. A discussion
of the
accuracyof scatterometersurfacepressurefields is given by
Zeng and Brown [1998]. These surfacepressurefields showed
greatestimprovementover NWP analysesover the Southern
Hemisphere,where the lack of conventionalobservations
can
causeentire systemsto be misplacedor missedall together
[Brownand Levy, 1986;Levy and Brown, 1991].
This studymakesuse of the high-qualityNSCAT wind data
by deducingsurfacepressurefieldsthroughthe use of a variational method. The primary goalsare (1) to use NSCAT
windsto determinesurfacepressurefields,(2) to follow the
side.
A digital Doppler filter grouped overlappingbackscatter
measurements
from the differentviewinganglesinto 25 km by
25 km cells.The wind speedand directionwere computedfor
each cell usingthe observedbackscattersand a lookup table.
Calibration/validation of the NSCAT model function was more
accuratethan previousscatterometersbecauseof comparisons
with high-qualityin situ surface observationsfrom research
vessels[Bourassaet al., 1997], National Data Buoy Center
(NDBC) buoys[Freilichand Dunbar, 1999], and the TOGATAO array (K. Kelley and S. Dickenson,personalcommunication, 1998). In particular,thesein situ data includedmany
observationsat low and high wind speeds,enablingaccurate
calibration/validation
and removingthe low wind speedbiases
found in other scatterometers.
Attenuationby liquid in the atmosphere,particularlyheavy
precipitation, is a disadvantageof the Ku band frequency.
vide a surfacepressurefield that could be used to improve Contaminationfrom precipitation droplets can significantly
NWP over the oceans.
degradethe quality of scatterometer-computed
wind vectors.
Section 2 describesthe data sets, including specificsof Ideally, inclusionof a passivemicrowaveradiometer on the
satelliteplatformcouldhaveidentifiedcontaminatedcellsand
NSCAT and its near-surface wind observations. Section 3 deflagged
them appropriately.Unfortunately,missionspecificatails the variational method used to determine surfaceprestions and fundingdid not allow for suchan instrumentto be
sures. The variational method involves the assimilation of relative vorticity computed from the NSCAT wind vectors. includedwith NSCAT, soit is difficultto identifycontaminated
cells.Studiesare ongoingto determinethe effectsof precipiSurface fronts are located and identified in the relative vortictation on the overall accuracyof the NSCAT winds.
ity field as localizedbandsof high relativevorticity(section
The ADEOS was a low-altitude, Sun synchronous,near3.1.1).Thesefeaturesare verifiedasfrontsusingin situobserpolar orbiter.In thisorbit, NSCAT covered90% of the ice-free
vations and visible GOES 9 imagery. Section4 usesNSCAT
oceanevery2 days.The antennaconfigurationallowedwinds
surfacepressurefieldsto follow a caseof cyclogenesis
and a to be measured in 600 km wide swaths on each side of the
caseof frontogenesisin the North Pacific.Resultsshowthat satellite,with a 400 km gap in the nadir view between the
the NSCAT surfacepressurefields resolvethe structure of swaths(Figure 1). NSCAT2 level II wind data coveredswaths
these featuresin more detail than the NCEP reanalyses.The on each side of the satellite, with each swath 24 cells wide.
NSCAT pressurefieldsalsoagreebetterwith NSCAT windsas Theserowsof 24 cellswereperpendicularto the satellite'spath
far as the location of cyclonecentersand the orientation of (Figure 1).
horizontal pressuregradientsare concerned.Quantitatively,
NSCAT provedto be a veryreliableinstrument,determining
the NSCAT pressurefields comparewell with NCEP, espe- near-surface
winds(calibratedto a heightof 10 m) more acciallynear the referencebuoysand where recentsatellitedata curatelyand with fewer aliasesthan previousscatterometers.
are available.
In the open oceanthe chancesof selectingan incorrectambievolution of surface features describedmostlywith NSCAT
data, (3) to locateand identifysurfacefronts,and (4) to pro-
ZIERDEN ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
23,969
guitywerenegligible
at windspeeds
over8 m s-1 [Bourassa
et
al., 1997]. Below that thresholdthe chancesof incorrectambiguity selectionincreasedwith decreasingwind speed.The
RMS
difference
between
NSCAT
and research vessel winds
wasfoundto be 1.6m s-• forwindspeed(forwindspeeds
>4
m s-•) and13ø for direction.
Theyfoundno statistically
significantbiasesat low or highwind speeds.Freilichand Dunbar
[1999] supportedthese findingsin a comparisonto qualitycontrolledNDBC buoy observations.
2.2.
E 40
.......
•65
•70
•75
•80
•85
•90
•95
200
•-
205
2•0
2•5
220
225
Longitude
NCEP Reanalyses and NDBC Buoys
NCEP reanalysismean sea level pressuresare used to ini- Figure 2. Typical daily coverageof NSCAT winds over the
tialize the pressurefield and to update boundaryconditions. studyarea. Gapswithin the swathsindicatemissingdata. National Climate Data Center (NCDC) buoy locations are
The NCEP mean sea level field is different from its surface
markedwith a square.
pressurefield, primarily over elevatedland surfacesand becauseof smallvariationsdue to the limited spectralresolution
of the model. The NCEP mean sealevel pressurefield is the
most accurate representationof surface pressuresover the vorticity is computedfrom the pressurefield. A variational
ocean.Throughoutthe remainderof the text, the term "sur- methodsolvesfor a newgeostrophicstreamfunction,minimizface pressure"will applyto all pressurevalues,includingthe ing the differencebetweenthe new geostrophicvorticityand
vorticitywhere satellitedata are present
NCEP reanalysismean sealevel pressureproduct.The NCEP the old geostrophic
mean sealevelpressuredata are availableon a 2.5øglobalgrid and minimizingthe differencebetweenthe new geostrophic
at 6 hour intervals.A third data sourceis in situ surfacepres- vorticity and the old geostrophicvorticitywhere no satellite
suresfrom NDBC buoys46003, located at latitude 51ø51'5"N data are present.The result is an updated surfacepressure
and longitude 20ø5'3"E, and 51001, located at latitude field that capturesthe featuresfoundin the NSCAT vorticity.
The treatmentof NSCAT relativevorticityas geostrophic
ig23ø24'4"Nand longitude 197ø34'1"E.
noresthe ageostrophy
of surfacewinds,which can be significant in the vicinity of fronts and jet streaks.However, this
3. Methodology
approximation
is necessary
in the absenceof upperair thermal
3.1.
Method and Study Area
A goal of this studyis to devisea techniqueof deriving
surfacepressurefieldsfrom NSCAT winds,whichhavegreater
coverageand better resolutionthan ERS-1 winds.Like Brown
andZeng[1994],individualswathdataare used,preservingthe
spatialresolutionand small-scalefeaturespresentin NSCAT
winds. Unlike Brown and Zeng [1994], any data within the
domainhas an influenceon the entire pressurefield. Also, the
surfacepressurefieldwill evolvein timewith eachsatellitepass
and massfields.Repeatingthe procedurewith eachnew pass
of the satellite
over the domain
allows the field to evolve in
time as dictatedby NSCAT data. The stepsof this procedure
are described
in detail in sections 3.2-3.6.
3.2. Computing Relative Vorticity
NSCAT windsare of high spatialdensityand are locatedon
a regular grid alignedwith the satellitepath; consequently,
relativevorticityis easilycomputedusingcenteredfinite difover the domain.
ferences.The speedand azimuthaldirectionof the winds are
(u') and along-track(v') compoThe studyarea is the North PacificOcean between20ø and convertedto across-track
55øN latitude and between 165ø and 225øE longitude. It is nents in a coordinatesystemalignedwith the satellite track.
largely free of land and ice (scatterometers
only work over The relativevorticity[s at eachinteriorpointin the two swaths
water) and large enough to capture synoptic-scale
systems. is
Midlatitude cyclonestrack throughthe region. Furthermore,
'
- (u'i,j+l - u'i,j- O/Xy' ,
(])
i+l,j - Ui-l,j
conventionaldata are sparse,and numericalweather prediction analysescanuseimprovementin this area.The studyarea where i denotescell positionacrossthe swath,j denotescell
could expectto seethree to four passesof the satellitein the positionalong the swath,and x' and y' are across-trackand
ascendingnode and another three to four passesin the de- along-tracklocations.Ax' and Ay' are twice the cell size and
scendingnodeeachday(Figure2). All computations
and anal- are computeddirectlyfrom the latitude and longitudeof the
ysesare performedon a 0.25øgrid overthe domain,preserving correspondingdata pointsinsteadof beingheld constantat 50
the small-scalefeaturespresentin the high-resolutionNSCAT km. They varied between 49 and 51 km. If wind data are
winds.
missingat anyof the neighboringcells,the relativevorticityat
The technique developed in this study builds on the that point is consideredmissing.Delunay triangulationand
strengthsof Brownand Zeng [1994]and incorporatesthe vari- interpolation[Renka,1982] then transfersthe satelliterelative
ationalmethodof Harlan and O'Brien[1986].The procedure vorticityonto the 0.25ø grid.
(Plate 1) beginswith an NCEP meansurfacepressurefieldand
The RMS differencein NSCATwindspeeds
is -1.6 m s-•
interpolatesit onto the 0.25ø grid over the domain. For each when comparedto in situ data [Bourassa
et al., 1997;Freilich
subsequentpassof the satelliteover the studyarea the two and Dunbar, 1999].This uncertaintypropagatesthroughrelaswathsof NSCAT wind data are assimilatedinto the pressure tive vorticitycalculationsand resultsin an uncertaintyin relafield. Although surfacepressureand winds are physicallydif- tivevorticity
valuesof roughly1 x 10-4 S-•, similarin magferent data types,they are related throughvorticity. Relative nitude to maximumvaluesin strongsynoptic-scale
systems.
vorticity is computedin the swathsfrom NSCAT winds and However, this RMS uncertaintyin NSCAT wind speedsinthen interpolatedto the 0.25ø domaingrid, while geostrophic cludes both systematic biases and random errors in the
23,970
ZIERDEN
ET AL.: SURFACE
PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
Beginwith initialpressurefield
Updateboundaryconditions
every 12 hours(NCEP)
-::'I--Assimilate
vorticity
from
};.............
-• each
newsatellite
pass
.--".
! with
variational
method
................
Computerelativevorticityfrom
NSCAT winds
Repeat for each
newsatellitepass
Updated pressurefield
Plate 1. Methodologyof computingsurfacepressurefieldsfrom NSCAT winds.
NSCAT winds and the in situ data. Since relative vorticity
involvesthe differencein u and v components,most of the
uncertaintyin relativevorticityis due to randomerror alonein
the NSCAT winds.The consistency
of NSCAT relative vorticity fieldswith surfacefeaturesand NCEP geostrophic
vorticity
suggests
that the uncertaintyin the NSCAT relativevorticityis
small(<1 x 10-s s-•) andthatrandomerrorsin theNSCAT
winds are <0.7 m s-•.
3.3.
Frontal
Detection
A secondaryresultof this studydealswith the strongsignature of surfacefronts in the relativevorticityfieldscomputed
from NSCAT
winds. The identification
and location
of fronts
usingsatelliteremote sensinghas long been a topic of great
interest. Visible and IR imagery has taught us a great deal
about the structure and evolution of extratropicalcyclones
[Carlson,1980;Browningand Roberts,1994].This type of imagery,however,hasone inherentdrawback.Broadcloudcover
at higher levels obscuresfeatures at lower levels and at the
surface.Only in well-organized,sharplydefined systemscan
the approximatelocationof surfacefrontsbe found from such
passivesensors.Katsaroset al. [1996] used parametersfrom
active/passive
microwavesensorsaboardSpecialSensorMicrowave Imager (SSM/I), Geosat, and ERS-1 satellitesto study
the evolution of marine cyclones.They found that frontal
zonescouldbe identifiedby large gradientsin the SSM/I integratedwater vapor.Unfortunately,thisparameteris a measure
of water vaporover the entire atmosphericcolumnand cannot
isolatefeaturesat the surface.The locationof fronts changes
with height becauseof the sloped surfaceof the interface
betweenair masses.Consequently,the integratedwater vapor
can only identify a broad frontal zone representativeof many
levels rather than a sharp line at the surface.Katsaroset al.
[1996] also used Geosat and ERS-1 altimeter wind speedsto
identify wind speedgradientsin the vicinity of fronts. These
ZIERDEN
45 •
ET AL.'
•
30.
SURFACE
-- -
•
170
175
FIELDS
AND
FRONTS
FROM
NSCAT
WINDS
23 971
.-
--<-
z_-
25:. , •,
165
PRESSURE
••180
185
190
,,•;• ........
195
200
205
210
215
220
225
Vortici[y
10m/s
- 10
- 5
- I
1
5
1.0
10 -• s-'
Plate 2. NSCAT winds and relative vorticity from two satellite passesaround 1800 UTC, December 20,
1996.Isotherms(degreesCelsius)are from NCDC ship and buoy data (asterisksmark individualobservations).A cold front is identifiedby the band of high relativevorticity(red) in the right swaths.
altimeter data were often obscuredby precipitationin the area
of interest,especiallyin the frontal zones.
Surfacefrontscanbe identifiedin NSCAT windsby changes
in wind speedand direction.These changesare often subtle,
though,making the exactlocationof a front difficult to determine by visual examinationof the wind fields.When relative
vorticityis computedfrom NSCAT winds,however,even subtle changesin wind speedand directionlead to largevaluesof
higherpressuremeet. Winds curvecyclonicallyin responseto
the localizedpressureminimum,resultingin highpositiverelativevorticityvalues(in the NorthernHemisphere).
Plotsof relativevorticityin the NSCAT swathsare presented
showinglinear bands of high relative vorticity near-surface
fronts.The dual swathsof NSCAT windsand relativevorticity
(Plate 2) showa mature cycloneat 1800 UTC December20,
1996. The cycloneis centered near 38øN and 186øE, as evirelativevorticity(>1 x 10-4 s--l).Frontsarecharacterized
by dencedby the circulationcenter and high relative vorticity
relativelylow pressureat the boundarywhere air massesof values.Unfortunately,the cyclonecenteris in the gapbetween
5O
:..-',.,;'
.. .1.0.
...
Plate
3.
domain.
Goes 9 visible imagery from 1800 UTC, December 20, 1996. Solid white lines mark the study
23,972
ZIERDEN
165
170
ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
175
180
185
190
195
200
205
210
215
220
225
'Vortieity
10m/s
-10
-5
-1
1
5
10
10-' s-'
Plate 4. NSCAT winds and relative vorticity from two satellite passesaround 1800 UTC, January5, 1997.
Isotherms(degreesCelsius)are from NCDC shipand bouydata (asterisksmark individualobservations).
A
warm front extendsform the cyclonecenter eastwardacrossthe northernportion of the domain.
the two passesof the satellite,and its exactlocationcannotbe
determined.A narrow band of high relative vorticity curves
southeastwardfrom near the cyclonecenter, possiblycorrespondingto the changein winds along a cold front. Rough
contoursof surfacetemperaturemade from National Climate
Data Center (NCDC) ship and buoy observationsverify a
temperaturedrop behindthis feature.Furthermore,GOES 9
visible imagery(Plate 3) showsa classiccoma head at the
low-pressure
centerand a bandof cloudiness
alongthe trailing
cold front These two independentdata sourcesconfirm that
the highvorticityband is indeed a signatureof the cold front.
Warm and stationary fronts have strong NSCAT relative
vorticitysignatures
similarto thoseof coldfronts,thoughwarm
fronts are typicallyweaker. The NSCAT wind and relative
vorticity fields from two passesof the satellite around 1800
UTC January5, 1997, are plotted in Plate 4. A developing
cycloneis roughlycenterednear 40øN and 185øE,and a band
of strong relative vorticity extendsnorth and east from the
center along a stationaryfront. There is a dramaticwind shift
alongthis feature, with windsfrom the northeaston the north
side and from the southwest
on the south side. Surface tem-
perature contoursfrom NCDC surface observationsshow a
Plate 5. GOES 9 visibleimageryfrom 1800UTC, January5, 1997.Solidwhite linesmark the studydomain.
ZIERDEN
ET AL.' SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
strongtemperaturegradientfrom the high-vorticityline northward. GOES 9 visibleimageryfrom the sametime (Plate 5)
showsa smallcyclonenear 30øNand 210øW,whichis alsoseen
asa concentrationof highrelativevorticityat the samelocation
in Plate 4. North and westof the smallcycloneis a broad band
1
Outside
the swaths
V,j: g,j- gg0,
of clouds that extends from 30øN and 185øW north and east
acrossthe entire domain. This cloud band correspondswell
with the band of high relativevorticityin Plate 4, confirming
the presenceof a stationaryfront thatwasfirstidentifiedin the
NSCAT relativevorticity.The NSCAT vorticityfield succeeds
in locatingthe front with 25-50 km usingthe resolutionof the
NSCAT windsand the width of the highvorticityband, which
23,973
where R is a reduction
(6)
factor needed to increase the NSCAT
relativevorticityto a geostrophicequivalent.
The NSCAT relativevorticityis a surfacevaluethat needsto
be increasedto a geostrophicequivalentbefore it is blended
with geostrophic vorticity. A simple method for relating
geostrophicor gradientwindsto surfacewindsusesreductionis more exact than other satellite data sources.
rotation factors:Geostrophicwinds are multiplied by a constant of 0.6-0.9, dependingon boundarylayer stability,and
rotatedcounterclockwise
15ø-30ø[Clarkeand Hess,1975].Har3.4. Computing GeostrophicVorticity
lan and O'Brien[1986]useda leastsquaresmethodto find an
The variationalmethodrequiresNSCAT relativevorticityto
averagereductionconstantof 0.83 and a rotation factor of
be blendedwith the geostrophic
vorticityof the initial pressure
27.6ø between geostrophicand Seasat-Awinds. Brown and
field. Geostrophicvorticity is givenby
Zeng [1994] used their boundary layer model to arrive at a
1
=
reduction
t3
+7
constant
of 0.667 and a rotation
factor
of 18 ø for
(2)
neutral stratification.Herein R is chosento be 1.5, equivalent
to Brownand Zeng'sreductionfactor for neutral stability.The
wherep is the surfacepressure,p is taken as a constant1.225 rotation factor is inconsequentialsincerotatingNSCAT winds
kgm-3 (U.S.standard
atmosphere),
f istheCoriolisparame- by a constantangle has no effect on relativevorticityvalues.
ter,/3 - df/dy, andua isthezonalcomponent
of thegeostro- The last term on the right of (3) is a penaltyfunctionthat
phicwind. In centeredfinite differenceform, (2) becomes
acts to smooth horizontally the solution field. Without this
term
the onlysolutionis X = 0, and satellitevorticityis inserted
1
directlyinto the field. In general,the penaltyfunctioninvolves
;•,•=• (P'+•'J
+p,-•,j
- 2pij)/Ax
2
the secondderivative of the solution field, often in the form of
a Laplaciansmoother.In this case,however,the Laplacianof
p is includedin the model, and another penaltyfunctionmust
1
-
+•jj(Pi,j+l
+Pi,j-1
be used.The kinematicgeostrophic
kineticenergyG(pis) is
minimized[Harlan and O'Brien,1986]:
13
f•2
(P,,j+•
+Pi,;-O/2Ay
(3)
1
1
G(pij)
=• (tt2a
+ v})= 2--•Vp'Vp.
Theinitialguess
for •a iscomputed
fromtheinitialNCEPgrid.
(7)
For each subsequentstep the pressurefields and all calculaThe coefficients
K g and Ke are weightsthat controlthe
tions are performedon the 0.25ø grid.
balancebetweenthe amount of smoothingto be done and the
data misfits. The cost function
3.5.
Variational
Method
A variational method determinesan optimal surfacepressure field that smoothlyblendsNSCAT vorticityover the domain. The variational
method minimizes
the cost function F to
findthe solutionfieldsPii and
j
K•
KE
+ E E T (V'j)2
+ E E TG(pii)' (4)
i
j
to arrive at
OF
1
Opijof(Xi+I'J
-'1Xi-l'J2Aij)/z53c2
1
F(po
•ij,
X,•)
=• • Xi;[
(• V2p
fu
i
must be minimized
thesolution
field
i
j
where the terms on the right-handside are summedover all
grid pointsi and j. The first term on the right-handside is
-+-•(Xi,j+I
-+Xi,j_
1--2Aij)/Ay
2
+p-•
(Xi,j+•
+Ai,j_O/2Ay
p2f2
[(Pi+•,•
+Pi-•,•PXi•)/Ax2
+ (Pi,•+•+ pi,•-•- p Xi•)/AY
2]= 0
(8)
commonly
referredto asthemodel(•a = (1/Pf)V2P +
OF
(13/f)ua), the unknownpressure
andvorticityfields,multipliedby a Lagrangemultiplier;t•i. Thisterm is knownas a
Ogij Xijnt-i•Vij 0
(9)
"strong constraint"[Saski, 1970]. The secondterm on the
oF_(1
OXij
-- • V2piJ
+7 tta--gij
=O.
(10)
right-hand
sideminimizes
thedatamisfitsVi•betweenthenew
geostrophic
vorticity•i• andsatellite
vorticity
(whereavailable)
and the misfitsbetweenthe newand old geostrophic
vorticities Equation(8) can be written as
(outsidethe swaths).
In the swaths
+7 G =
(11)
23,974
ZIERDEN ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
and has a solution
because the feature
of the form
,kij
= •ppf
(p,j- P0,j),
of interest was located in the center of the
studyarea. In the interior of the domain.thesolutionfield is
looselyconstrainedby the boundaryvalues,so their solution
(12) field
realized the full influence
of the assimilated scatterometer
data over the low-pressuresystem.Also, they assimilatedsatwhereP0iiis thehomogeneous
solution
to (11) andthussatisfies
(rE/2Pf)V2Poij= 0. Ontheboundaries,
• = 0 and ellite data only oncefor eachNCEP analysis,so their solution
field was not required to evolvein time.
Poil - pij; therefore
Poi•canbe foundthroughsuccessive
Neumann boundaryconditionsare usedfor this study.The
overrelaxationgiventhe boundaryvaluesfrom the initial prespressuregradientnormalto the boundary(asdeterminedfrom
surefield. Combining(9) and (12) and lettingK = K•:/Kc
NCEP reanalysis)is computedat each grid point along the
leads to
border.Equations(15) and (16) are then solvedholdingthese
In the swath
normal derivativesconstant. This approach allows surface
K
pressurevaluesto changewith the assimilationof NSCAT
vorticity,evenat and near the borders.The drawbackof using
derivativeboundaryconditionsis that the spatialmean pres-
•,j= •s,j
+ •ppf
(P,j-P00)
Outside
(13)
the swath
sure is not constrained:
K
•,;= •g,j
+ •ppf
(P,;
-P0•;).
(14)
Substitutionof (13) and (14) into (10) yields
In the swath
1
1
The mean can drift from the initial
value in a manner other than the true temporal evolutionof
the mean.The horizontalgradientsand relativehighsand lows
in the solution field are realistic, but while assimilatingone
overpass,the spatialmean would drift between0 and 6 mbar
from ground truth. Without additional measuresthis error
addsup quicklyas the procedureis repeatedfor new satellite
passes.
p•)(Pi+l,j
+P,-•,,
- 2P•j)/Ax2
+• (Pi,j+l
+Pi,j-1
- 2pij)/AY
2 The drift in spatialmean pressureis remediedwith refer13
K
•;2
(Pi,j+l
+pi,;_l)/2Ay
- •ppf
(p,;
-Po•j)
= ;s,,
Outside
(15)
tures. A constant offset could then be added to or subtracted
the swath
1
1
pfj(P,+i,;
+P,-1,j2pij)/Ax2
+• (P,,;+i
+P,,,-•
--2p,)/ zXy
13
encepressures
from within the domain.Ideally, the reference
pointswouldbe locatednear the centerof the studyarea and
awayfrom sharphorizontalpressuregradientsor extremefea-
K
from the solution pressurefield to make the solution and
reference pressuresequal at the reference points. Unfortunately,buoysare onlylocatedin the domainby Hawaii andthe
Aleutians, near the southern and northern borders of the do-
main (Figure 2). The offset is taken as the averageof the
differences between buoy and solution pressuresat these
points.Averagingreducesthe influenceof the locationalerrors
which are solvedusingsuccessive
overrelaxationand constant
in sharpgradientsnear the referencepoints.
normal derivativeboundaryconditions.
The derivativeboundaryconditionsstill presentlimitations
Lagrange
multipliers
Ai•oftenhavea physical
interpretation. on the evolution of features near the borders:Large-scale
For example,in (9) the Lagrangemultipliersare equalto the features are not able to enter or leave the domain as the
data misfits.Resultsshowthat their spatialdistributionis domsolutionfield evolvesin time. For example,considera lowinated by small-scalenoise,with variationsat 1 order of magpressuresystementeringthe domain on the westernborder.
nitude less than averagevorticityvalues.No physicalstrucTo capturecorrectlythis feature as it crossesthe border,the
tures,suchas the edgesof the satelliteswaths,are discernable
normal derivativeshouldchangefrom positive(increasingtoin their spatialdistribution.The Lagrangemultiplierscorreward the interior) to negative.For this reasonthe boundary
spondto grid-scalevorticitydifferencesbroughtaboutby the
conditionsmustbe updatedperiodically.On the basisof dosmoothingterm in the variationalmethod.
main size and the frequencywith which new passesof the
A stated earlier, K is a coefficientthat weightsthe relative
satellite occur, new derivativeboundary conditionsare comcontributions of the two constraints in the cost function. Furputed from NCEP reanalysesevery 12 hours. The 12 hour
thermore, the two constraintsare not dimensionallyhomogeupdate cycleis chosenso that new boundaryconditionsare
neous, and the coefficient must account for the difference in
implementedat the synoptictimes of 0000 UTC and 1200
units in the two terms. A value of K = 1 x 10-•3 m-2
UTC. Using additional NCEP data to update the boundary
producesa smoothpressurefieldwhilepreserving
the physical conditionsdoesnot lessenthe dependencyof the solutionfield
structurespresentin the NSCAT windsand relativevorticity.
on NSCAT vorticitydata. It simplyprovidesa frameworkof
Higher valuesput too muchweighton minimizingthe geostrolarge-scalehorizontalpressuregradientsto governthe solution
phickineticenergy,resultingin a pressurefield with gradients near the borders.
ff (P,,/+i
+pi,;_l)/2Ay
- •ppf
(p,;
-Po,;)
=
(16)
that are too relaxed.
3.7. Viability of the Technique
3.6.
Boundary Conditions and Reference Pressures
Solving(15) and (16) for surfacepressurerequiresspecification of boundaryconditionson the bordersof the domain.
Harlan and O'Brien [1986] held the boundarypressurevalues
constant(Dirichlet), settingthem equal to the valuesfrom
NCEP analyses.This conditionwas effectivefor their study
A major goal of this studyis to describethe evolutionof
cyclonesbasedprimarily on NSCAT observations.
With the
assimilationof data from each new passof the satellite,less
informationis retained in the pressurefield from the initial
NCEP analysis.In 24 hours,sevento nine passesof the satellite overthe domaincover•--75%of the area (Figure2). In 48
ZIERDEN
ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
hours the total is over 90%, with a majority of the domain
coveredat least twice. At this point the geostrophicvorticity
field is describedalmostexclusivelyby NSCAT vorticity.The
solutionpressurefield follows from the geostrophicvorticity
field, constrainedonly by the pressurefield from the previous
iteration, the derivativeboundaryconditions,and the two reference pressures. Continued assimilation of new satellite
passes
changesthe geostrophic
vorticityfield (and corresponding pressurefield) as physicalfeaturesmoveaboutand evolve
in the domain. Ideally, the processcontinuesthroughoutthe
life cycleof the feature of interest.
The techniquedoes,however,havetwo limitations.First, the
feature (cyclone,front, etc.) must have a strongsignaturein
the satellite vorticity field. Results show that high values of
relativevorticityare concentratedat frontal zonesand cyclone
23,975
The first satellite pass covers only a small corner of the
domain.The NSCAT pressurefield changesverylittle from the
NCEP initialization,asidefrom smoothingthe discontinuities
causedby NCEP's coarse 2.5ø grid (Figure 3a, 0000 UTC
December18, 1996).This iteration demonstrateshow the field
retainsthe characteristicsof the previousstepover areaswhere
no new satellite information
is available for assimilation.
After
the assimilationof eight passesthe NSCAT pressurefield
evolvesconsiderably(1800 UTC, December 18, 1996). The
low-pressuresystemnear the northern border weakens,while
the low-pressuresystemnear the southernborder deepensin
responseto the strongvorticity values from the last satellite
pass.The NCEP analysisfrom the sametime doesnot intensify
this system,yet showsa higher central pressure(1003 mbar
comparedto 997 mbar) than the NSCAT field. Also, notice
centers. If the feature is weak or diffuse, noise and small-scale how the isobarstend to "kink" where winds turn sharplyin
variations in the NSCAT relative vorticity overwhelm the responseto featuresof high vorticity.Sharpbendsin pressure
large-scalestructureof the feature. The solutionfield diverges contoursare indicativeof a suddenchangein horizontal grafrom the true surfacepressurefield, and this problem is com- dient, often associatedwith frontal zones[Djuri•5,1994].
At 1200 UTC, December 20, 1996, the cyclonereachesits
poundedas more satellitepasseswith weak vorticitypatterns
are assimilated.Also, cellscontaminatedby attenuationfrom maturestage(Figure 3c). The NSCAT centralpressureis 989
liquidwater introduceerror into the vorticityfield. These er- mbar, close to NCEP's value of 987 mbar. NCEP locates the
rors do not appear to affect greatlythe solutionpressurefields center at 38øN and 186øE, 1ø east of the circulation center as
for strongsystemsas the attenuationerrors are more local in determinedfrom the NSCAT wind vectors.The NSCAT presnature and may not influencethe large-scalestructureof the sure field places the center at 37øN and 185øE, 1ø east and
pressurefield. It is impossible,however,to determinethe exact southof the circulationcenter.The only other differencein the
impact of the attenuationproblem on the vorticity and pres- two pressurefieldsis that NSCAT buildshigherpressureat the
surefieldswithout knowingwhich cellsare contaminated.
northern edge of the domain, over 1050 mbar. The NCEP
The techniquealsobreaksdownwhenthe featuremovestoo analysisonly has pressuresin this area of a little over 1040
quickly through the study area. Consider a cyclonemoving mbar. Elsewhere,the tow fieldsagreewell in the overallstrucwestto eastthroughthe domainat 10m s-•. On the firstday ture and the placementof major surfacefeatures.The NSCAT
the satelliterecordsan area of high relativevorticitycorre- field hasbeen able to capturecorrectlythe intensifyingsystem
spondingto the center at a longitudeof 175øE.This feature is with only the assimilationof NSCAT relative vorticity and
assimilatedinto the pressurefield and resultsin a low-pressure updatedboundaryconditions.
center at that location. The satellite may not pass over the
By 1200UTC, December21, 1996(Figure4a), NCEP weakfeature again in 24 hours. Meanwhile, the true center of the ensthe systemto a centralpressureof 994 mbar. The cyclone
cyclonewould have movednearly 800 km. If the satellitenow is now stretchedalonga major axisrunningnorthwestto southpassesover the center at its new positionwhile missingits old east.The centeris not well definedand is displacedfrom the
position,the resultingpressurefield will erroneouslyshowthe circulationcenterby 5øto the north and 3øto the west.NSCAT
feature as an elongatedor two-centeredsystem.The coverage keepsa central pressureof 987 mbar and correctlylocatesthe
from NSCAT is insufficientto capturethe movementof the center at 38øN and 188øE, coincident with the center of circucycloneproperly,and the solutionfield divergesfrom the true lation of the NSCAT wind vectors.Both fieldshavetight prespressurefield. It is foreseenthat OuikSCAT, with its wider sure gradientson the northeastside of the cyclone,which
coverageand no nadir gap,will alleviatemuchof this problem, agreeswell with the strong southeasterlywinds in this area.
The orientationsof the NSCAT pressurecontoursare more
particularlywhen multiple scatterometers
are in operation.
consistentwith the wind vectorsfrom the last satellitepass,
especiallyjust north of the circulationcenter.
4.
Case Studies
Figure 4b depictsthe pressurefieldsat 1800 UTC, Decem4.1. Case 1: December 18-24, 1996
ber 22, 1996,after the assimilationof 40 satellitepassesover 5
The method is first applied to a case of cyclogenesis
that days.The two pressurefields now agree on the cyclone'scenoccurredDecember18-24, 1996.The NCEP surfacepressure tral pressureof 993 mbar. NCEP correctlylocatesthe cyclone
analysisfrom 0000 UTC, December 18, 1996, initializes the center at the center of circulation, while NSCAT has a double
process.The solutionpressurefield (hereafter call NSCAT low. The tightestgradientsand strongestwindsare now on the
pressure)evolveswith the assimilation
of datafrom 52 satellite westernsideof the cyclone.Both fieldsalsoexhibitkinkingof
passesover 7 days.Snapshotsof the NSCAT pressurefield are the isobarsalongthe coldfront, whichextendsto the southand
comparedto NCEP reanalysesnearest in time to the latest east of the cyclonecenter.
Two days later, at 1200 UTC, December 24, 1996, the cysatellitepass.Also, both the NSCAT and NCEP pressurefields
are checked for consistencywith the NSCAT wind vectors clone reintensifieswith a central pressureof 992 mbar. The
from the latest satellite pass.This comparisondoes not con- stormis large,nearlycoveringthe entire domain.NSCAT and
stitutevalidationof the NSCAT pressurefields,asan indepen- NCEP are in good agreementwith both the location and indent data sourceis necessaryfor objectiveresults.It is simply tensityof the cyclonecenter,with NCEP being a little deeper
intendedto showhow the NSCAT pressurefields conform to at 989 mbar. Both fields are consistent with the NSCAT wind
features
seen in the NSCAT
wind fields.
vectors. A warm
frontal
zone now extends eastward
from the
23,976
ZIERDEN
(a)
ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
0000UTC18 Dec.1996
0000
UTC
18
Dec.
1996
5O
45
4O
35
30
20
165
175
(b)
,
,
185
195
,
205
-
,
215
225
165
175
1800UTC18Dec.1996
185
195
205
215
225
1800UTC18Dec.1996
40
30
25
165
175
(c)
185
195
205
215
225
165
175
1200UTC20 Dec.1996
185
1200
UTC
195
20
205
Dec.
215
225
215
225
1996
55
5O
45
4O
35
3O
25
2O
165
175
185
195
205
215
225
165
175
185
195
205
Figure 3. Case 1: NSCAT surfacepressurefield (mbar) after the assimilationof (a) 1, (b) 8, and (c) 20
satellitepasses:
(left) NSCAT windvectorsfrom the lastsatellitepassand(right) concurrentNCEP reanalysis
surfacepressures.
cyclone'scenter. The NSCAT pressurefield resolvesthis feature sharplyas seen in the 995 and 1000 mbar contoursand
strongpressuregradientsnormalto the front. The NCEP analysishas gentlycurvingcontoursin this zone, makingthe exact
NSCAT low-pressurecenterlocationexactlymatchesthe center of circulation.NSCAT alsodoesa better job of showingthe
elongatednature of the low, especiallyon the easternend.
Notice how the wind vectors parallel the NSCAT pressure
location
contours
of the front
difficult
to determine.
in this area.
NCEP
does not
extend
the low far
enougheast, as the wind vectorscrossthe contoursat unreal4.2. Case 2: January 3-6, 1997
isticallylarge angles,flowing from low to high pressure.
This is a caseof frontogenesis
that took placeduringJanuary
The low moveslittle in the next 18 hours(Figure5c). The
3-6, 1997. The processis initialized at 0000 UTC, January3,
center
is now locatedat 49øN and 192øEin the NSCAT pres1997,when the only feature of interestis a weak low-pressure
sure field, coincident with the center of circulation. NCEP
systemcenteredat 48øNand 177øE(Figure 5a). The NSCAT
pressurefield picksup anotherlow-pressurelobe enteringthe continuesto place the center too far to the east by 2ø. Both
fieldshavea centralpressureof 983 mbar. The NCEP analysis
domain on the western border at 40øN. This feature is not seen
places
another distinct low at 42øN and 172øE,where the
in the NCEP reanalysis.
NSCAT
field has a more continuoustroughextendingeastto
Figure 5b shows1800 UTC, January3, 1997.The low moves
eastand, accordingto the NSCAT pressurefield, is centeredat westacrossthe northernportion of the domain.Sixhourslater,
50øN and 190øE with a central pressureof 994 mbar. The at 1800 UTC, January4, 1997, an apparentfront has formed
NCEP analysisplaces the center 2ø south and east of the and extendsacrossthe northern portion of the study area
NSCAT location with a central pressureof 987 mbar. The (Figure6a). The front in the NSCAT pressurefieldis defined
ZIERDEN ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
(a)
165
1200UTC21 Dec.1996
175
(b)
185
195
205
215
1200UTC21 Dec.1996
225
165
175
1800UTC22 Dec.1996
551000'
.' •
45
'
35
30
25
175
(c)
185
1200
UTC
195
24
195
205
215
225
- '••'
,• ,•O•
_
20
165
185
1800UTC22 Dec.1996
•
5O
23,977
205
Dec.
215
225
165
175
185
1200
1996
UTC
195
24
205
Dec.
215
225
215
225
1996
50
45
40
30
20
165
175
185
195
205
215
225
165
175
185
195
205
Figure4. SameasFigure3 butfor theassimilation
of (a) 29, (b) 40,and(c) 52 satellite
passes.
by a nearlycontinuous
bandof highvorticityandlowpressure. nowcurvegentlyaroundthewesternsideof the centerrather
North of the front, thewindsare east-northeast,
while southof than shiftingsharplyas in earlierswaths.Also, beginningat
the front, they are from the west-southwest.
Also, pressure 1200UTC, January5, 1997,a newwindshiftline formsto the
to the genesisof a
gradients
havetightened
on bothsidesof thefront.Thewind southeastof the center, corresponding
shift line coincideswell with the line of lowestpressures.The trailingcold front (Figure6b). This featureis seenin the
fieldasa sharptroughextending
southof the
NCEP analysis
persists
in separating
the featureinto two dif- NSCATpressure
ferent lows. NSCAT wind vectors show no evidence of closed cyclone
center.NCEPdoesnotresolve
thefront,showing
only
isobars
withthetroughaxisplaced10øeastof the
circulation
aroundeitherof the featuresto supportthisanalysis. gentlycurved
The front is nearlystationaryfor the next 24 hoursand is NSCAT position.
sharply
delineated
bythe 1800UTC, January
5, 1997,NSCAT
4.3. Accuracyof the NSCAT and NCEP PressureFields
pressure
field.Thewindshiftacross
thefrontfromnortheast
to
Two generalizations
canbe madeaboutthe NSCAT pressouthwest
is highlylocalizedalongthe lengthof the front.
NCEP finallymergesthe twolowsintooneelongated
feature, sure field from these case studies. First, the field is more
althoughit is not as linear as was depictedby the NSCAT realistic in the interior of the domain than near the boundaries.
into
pressure
field.The NCEP analysis
hasslightlylowerpressure New featuresmovinginto the domainare not assimilated
(986mbar)thanNSCAT(989mbar)onthewestern
portionof the NSCAT pressurefield until the satellitepassesoverthe
the front. Otherwise,the NSCAT positionsof two smalllow- area, so thesefeaturesmay be totally missed.Also, regions
pressure
featuresalongthe front agreewell with the wind near the bordersare constrainedby the boundaryconditions.
Awayfromtheborders,
thesolution
fieldisfreeto conformto
circulationpatterns.
At 1800UTC, January5, 1997,thewesternmost
lobeof low featuresfound in the NSCAT relative vorticity.Second,the
fieldismoreaccurate
wherethesatellitehas
pressure
is developing
intoa newcyclone
(Figure6c).Winds NSCATpressure
23,978
ZIERDEN ET AL.' SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
(a)
0000UTC
3 Jan.1997
0000UTC
3 Jan.1997
45
25
10•m/s
(b)
1800
UTC
3 Jan.
10•m/s
1997
1800
UTC
3 Jan.
1997
55
5O
45
4O
35
30
25
20
165
175
(C)
55
185
195
205
215
225
165
175
1200UTC
4 Jan.1997
185
195
205
215
225
1200UTC
4 Jan.1997
50
35
,
z'.•,•';;,'-'
,
165
175
185
195
205
215
225
165
175
_1020
,
185
195
205
215
225
Figure5. Case2: NSCATsurface
pressure
field(mbar)aftertheassimilation
of (a) 1, (b) ?, and(c) 12
satellite
passes:
(left)NSCATwindvectors
fromthelastsatellite
pass
and(right)concurrent
NCEPreanalysis
surfacepressures.
passedmorerecently.It standsto reasonthat the portionof
buoyobservations
areusedbyNCEPin theirreanalyses,
sothe
the domain updatedwith newer informationis more current
two are not independent.Second,the observations
were made
thanan areathathasnot seena satellitepassin manyhours. at the samesynoptictimesastheNCEP analyses.
The NSCAT
Table 1 addresses
the accuracyof both the NSCAT and pressure
field,however,
mayhaveseenthelastsatellitepassas
NCEP pressure
fields.Threehourlysurfacepressure
observa- far as _+3hoursof thesynoptic
time.Also,theNSCATprestionsfrom shipsandbuoys(courtesyof the NCDC are com- surefieldoutsidetheareacovered
bythelatestpassisbasedon
paredto valuesfrom boththe NSCAT andNCEP pressure oldersatelliteinformation,
12-24hoursfromthe latestpass.
fieldsfor eachsnapshot
in Figures3-6. For eachcasethemean Yet anothersourceof errorin theNSCATfieldis thescarcity
andstandard
deviation
of thedifference
between
thepressure of referencepressures.
Only two buoyswere available,and
fieldvaluesandthein situobservations
arecomputed
usingall these are both located in the eastern half of the domain. Inavailable observations for that time. These statistics are com- accuracies
in the pressuregradientscausedby oldersatellite
putedfor allobservations
in theinteriorof thedomain(at least datalead to increasingerrorswith distancefrom the reference
5ø from the boundaries).The resultsshowthat the NCEP points.The resultthat NSCAT pressure
fieldshavemeandifpressurefield is quantitatively
moreaccuratethanthe NSCAT ferencesand standarddeviations
only slightlyhigherthan
field.The NSCATmeandifference
rangesfrom0.1to 2.5mbar NCEP'sreanalysis
productsupports
the validityof the variain magnitude,and the standarddeviationis between2.4 and tional methodin derivingsurfacepressures
from NSCAT
6.1 mbar.The NCEP meandifferenceis small,between0.1 and
1.2 mbar, and the standard deviation is -•5.8 mbar. NCEP
winds.
Althoughthe NSCAT pressures
maynot be quantitatively
should
bemoreaccurate
forseveral
reasons.
First,theshipand more accuratethan NCEP over the domain as a whole, the
ZIERDEN
(a)
ET AL.' SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
1800UTC4 Jan.1997
23,979
1800UTC4 Jan.1997
5O
""'1000'•
! -""'•--4,z'•90
''
45
4.0
._. •
'""
oo
35
30
,
25
20
165
175
(b)
185
1200
UTC
195
205
5 Jan.
215
225
165
175
185
1200
1997
195
UTC
5 Jan.
205
215
225
215
225
215
225
1997
55
50
45
40
35
30
25
20
175
165
(c)
195
185
1800
UTC
205
5 Jan.
215
225
165
175
185
1800
1997
195
UTC
5 Jan.
205
1997
50
45
x•.., ,-•,
40
30
25
:,!:
20
175
165
185
195
205
215
225
165
175
185
,J
195
205
Figure6. SameasFigure5 butfor the assimilation
of (a) 18,(b) 22, and(c) 27 satellitepasses.
qualitativeadvantages
are seenin the detailedcomparisonsvorticityfieldsgivesrise to featuresin the NSCAT pressure
fields that are blurred or not seenat all in the NCEP analyses.
sharplydefined,and pressuregradientsare more consistent NSCAT is also better at placingthe low-pressurecenters
made in sections 4.1 and 4.2. Features such as fronts are more
withtheNSCATwinds.The improveddetailin the geostrophic correctlywith respectto the center of circulationof the
Table 1. ComparisonWith SurfaceData
NSCAT
Mean
Time
and Date
1800UTC, Dec. 18
1200UTC, Dec. 20
1200UTC, Dec. 21
1800UTC, Dec. 22
1200UTC, Dec. 24
1800UTC, Jan.3
1200UTC, Jan.4
1800UTC, Jan.4
1200UTC, Jan.5
1800UTC, Jan.5
Interior
Standard
NCEP
Mean
Interior
Standard
Difference,
Deviation,
Difference,
Deviation,
mbar
mbar
mbar
mbar
-0.2
0.2
0.6
-0.1
0.2
1.2
0.2
0.0
-0.3
-0.2
1.7
4.2
3.2
1.4
2.2
5.8
4.7
4.3
2.5
3.0
-0.2
1.5
-0.7
-0.1
2.0
1.0
-0.2
-2.5
-0.8
2.0
2.4
6.1
6.1
6.0
3.3
6.1
5.5
5.4
4.6
4.1
Number of
Observations
39
34
29
37
37
35
34
32
33
48
23,980
ZIERDEN
ET AL.: SURFACE PRESSURE FIELDS AND FRONTS FROM NSCAT WINDS
Table 2. Difference in the Locationsof Low-PressureCenters Compared to Centersof
Circulation
NSCAT
Time and Date
1200 UTC,
1800 UTC,
1200 UTC,
1200 UTC,
1800 UTC,
1200 UTC,
1800 UTC,
1200 UTC,
1800 UTC,
1200 UTC,
Dec. 20
Dec. 20
Dec. 21
Dec. 22
Dec. 22
Dec. 23
Dec. 23
Dec. 24
Jan. 3
Jan. 4
Average
NCEP
Latitude,
deg.
Longitude,
deg.
Distance,
km
Latitude,
deg.
Longitude,
deg.
Distance,
km
-2.0
0.0
0.0
-1.0
- 2.0
0.0
0.0
0.0
0.0
0.0
2.0
0.0
1.0
1.0
0.0
2.0
0.0
0.0
- 1.0
0.0
280
0
85
140
225
170
0
0
85
0
0.0
1.0
-3.0
5.0
0.0
0.0
0.0
0.0
- 1.0
0.0
2.0
1.0
3.0
3.0
0.0
2.0
0.0
0.0
2.0
2.0
170
140
420
600
0
170
0
0
200
170
- 0.8
0.7
100
0.2
1.5
190
from 0.1 to 2.5 mbar in magnitudewith a standarddeviation
between2.4 and 6.1 mbar. NCEP pressurescompareslightly
over the North Pacific makes the NSCAT wind vectors the best
better,with mean differencesbelow 1.2 mbar in magnitudeand
alternativefor determiningthe correctlocationof low-pressure standard deviationsbelow 5.8 mbar. The accuracyof the
centers. Table 2 shows the difference
in location of lowNSCAT pressure fields increasesnear the latest satellite
pressure centers compared to circulation centers for times swaths and in the interior of the domain.
when the circulation center is revealed in the latest satellite
Qualitatively,the NSCAT pressurefieldsresolvethe strucpath. In 2 of the 10 casesboth NSCAT and NCEP agree ture of cyclonesand fronts more realisticallyand with greater
exactlywith the NSCAT winds.In the first case,at 1200 UTC, detail than the NCEP analyses.The NCEP model and other
December1996,the NSCAT low-pressurecenteris placed280 spectralmodelsgenerallyrepresentfronts as broad transition
km from the circulationcenter.This displacementis causedby zones because of their coarse resolution. The NSCAT winds
an older vorticitymaximumlying betweenthe two swathsof a and resultantsurfacepressurefieldsbetter representfrontsas
new pass,givinga falsevorticitysignatureto the new NSCAT boundariesbecauseof their high spatialresolution.Also, the
pressurefield (section 4.1). Other than this isolated case, centersof cyclonesare placed more accuratelyin the NSCAT
NSCAT low-pressurecenters are consistentlycloser to the pressurefieldsthan in NCEP analyseswhen comparedto the
circulation centers than NCEP. On average, NSCAT low- centersof circulationfrom NSCAT winds.The averagedifferpressurecentersare 100 km from the circulationcenter,while ence is 100 km for NSCAT pressurefields and 190 km for
NCEP averages 190 km errors. And interesting feature of NCEP analyses.
Another resultof this studyis the signatureof surfacefronts
Table 2 is the trend in longitudinalerror of the NCEP analyses.
In 7 out of the 10 casesthe NCEP center is placed too far in relative vorticity fields computed from NSCAT winds.
eastwardwhen comparedto circulationcentersand in no case Fronts are clearly identified by linear bandsof high relative
is it displacedto the west.While 10 cases(two different sys- vorticityvalues.These bandsare verified as fronts usingsurtems) are too few to suggesta systematicbias in the NCEP face temperaturegradientsand satelliteimagery.NSCAT vorticity fieldslocatethe frontswith an accuracyof 25-50 km and
analyses,the trend warrantsfurther investigation.
with greater resolutionthan other satellitedata sources.
Although NSCAT winds are a high-qualitydata source,ef5.
Conclusions
fective techniquesfor assimilationinto NWP models have
A variationalmethodis devisedto generatesurfacepressure proven difficult to develop. Surface pressure fields from
fields from NSCAT
winds. The method solves for a surface
NSCAT winds, however,could provide a more favorableaspressurefield by smoothlyblendingrelativevorticitycomputed similation source [Hoffman, 1993; Atlas, 1997]. This study
from NSCAT windswith ambient geostrophicvorticity.The bringsforth a simplemethodfor determiningsurfacepressures
method ignoresthe ageostrophyof surfacewinds as no upper from NSCAT winds and demonstrates its effectiveness.
air thermal or massfieldsare usedto make adjustments.The
solutionpressurefield is updatedasnew passesof the satellite
Acknowledgments. Fundingfor thisprojectis from the NASA JPL
over the studyarea provide additionalinformation.Neumann
NSCAT project. COAPS receivesits basefundingfrom ONR's Secboundaryconditions,updatedtwice daily with NCEP normal retary of the Navy Grant to JamesJ. O'Brien.
gradients,allow the surfacepressurefield to evolvein time.
This method is used to studya caseof cyclogenesis
and a
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