1. lN'I'ltol)ll(''I'lo N”

41
i (kwIp,c A. ll~ljj, R, ltmllczh4cic), aII(l 1.1<. K[ltsitlski IcI l)jo])lllsio]]” 1 .; Il)OIaloI)f” (’ill ifollliit ll)slilil[c of ‘1’CCIIIIOI(){’,)” olmctvit]~, tlIc (;101MII l’ositic)tlil]f’, Syslel II I)y i! satcllitr it I Iou” cat(ll wl)il itl :111 occllliitlj’, fI,coIIIclty ]) Iovidcs ;t ]x)wcIf ’Lll II ICaIIS of il]la[’,ill~, I}IC io[losj)lw]c. ‘1’olilo[’,ia])lli(” itll:lf’illf’, ~)f’ tl)c io}I(h])lIcILs is cx:i]llilld t)si]l~, sitlf’,111:11 valkl(” (Ir(()]ll])[)sili()]l :~llalysis. “J’JIc itll{l(lcj)ctl[lcll(y of tlIc (d)t:~it]:il)lc ]csolii(io]], tlIc acc LIttIrs of IIIC solutioIl” HII(I tlIc d;It H ]]oisc is cx])l:lilwd. A Si]])llli(tio]i is (ioll( \\’lIcIu it 71) io]]os])llclic” stILlclLII( is {I,cl Icldlc(l, Ac(lIIacy of i]lla[’illp, lIIU iollosl)l]r]c” usi]lj’, fI,IollII(i aII(l/01 flif’,111 data is Cx:lll]ill(d, ‘1’11(’ (il’S ()(({lltati()]l (Iillil Stlo\v sc]lsiti\’ily 10 III( 1 l;lycl 1. lN’I’ltol)ll(’’I’lo N” 1 ———, -—— ———

Transcript of 1. lN'I'ltol)ll(''I'lo N”

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i ’

(kwIp,c A. ll~ljj, R, ltmllczh4cic), aII(l 1.1<. K[ltsitlski

IcI l)jo])lllsio]]” 1 .; Il)OIaloI)f”

(’ill ifollliit ll)slilil[c of ‘1’CCIIIIOI(){’,)”

olmctvit]~, tlIc (;101MII l’ositic)tlil]f’, Syslel II I)y i! satcllitr it I Iou” cat(ll wl)il itl :111 occllliitlj’,

fI,coIIIclty ]) Iovidcs ;t ]x)wcIf ’Lll II ICaIIS of il]la[’,ill~, I}IC io[losj)lw]c. ‘1’olilo[’,ia])lli(” itll:lf’illf’, ~)f’ tl)c

io}I(h])lIcILs is cx:i]llilld t)si]l~, sitlf’,111:11 valkl(” (Ir(()]ll])[)sili()]l :~llalysis. “J’JIc itll{l(lcj)ctl[lcll(y of tlIc

(d)t:~it]:il)lc ]csolii(io]], tlIc acc LIttIrs of IIIC solutioIl” HII(I tlIc d;It H ]]oisc is cx])l:lilwd. A Si]])llli(tio]i

is (ioll( \\’lIcIu it 71) io]]os])llclic” stILlclLII( is {I,cl Icldlc(l, Ac(lIIacy of i]lla[’illp, lIIU iollosl)l]r]c”

usi]lj’, fI,IollII(i aII(l/01 flif’,111 data is Cx:lll]ill(d, ‘1’11(’ (il’S ()(({lltati()]l (Iillil Stlo\v sc]lsiti\’ily 10 III( 1

l;lycl

1. lN’I’ltol)ll(’’I’lo N”

1

———, -—— ———

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.

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-- --L. . .nc=.?

_.<. . . .nc=-.,,

. . .n

c=-.7

‘J

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Sllf,/,CS{d by yll IICk Ct. :1]. [?8]. Sill(”(’ t]lC1l, scvclal studies IIavc lmII co]tdwted iII Illis alca

[?9-31].

III llIis pa]w.1, wc cxa]llitlc ways tly vl]ictl a 1 .1X) satcl]ilc t]ackil):, (il’S call bc lISNI 10

III):I:,C t]lc ioIIos]dIcJc. ‘1’wo ]MblcII-Is aIc lmi]]p, disc(lssd. OIIC is 10 coll)l)irlc I}IC 1.1 :()( ;1’S lil]ks

will) ‘1’J;(: dala flon] tlIc. fvou II(l ill a to]llog,tal)l)ic apl HoaclI. ‘1’11(’ Ot]lcl 1s 10 11s(’ ttl(’ I .}()-(;1’s

occll]l;i[ioI] p,col]lc[ry to Ol)taitl llip,ll ICsolutioll l’cr[ical ])lofilcs of tlIc iol Ios])llcIc, III OIdcI [[)

;l(kllcss t}ic fol”llm] ])1 Oldcl)”l, \i~e wmk out :1 ?-1) cx:IIII])lc wllicll w i l l srIvc iIJ deflllill~, IIIC

tolIlo~,I[l])lIy ]Ilol)lcnl alId aIIswclil If, l)a$ic qucslioIls suctl as tl]e cx]mclcd ICsollllioll aiId accu I: Icy

as a f’ullctioll of tllc g,e. ollmtl. y of Illc ttaltslllit[itlg, al]d ICccivill:, Cle]lwl]ts :is w’cll as data IIoisc.

‘J’llis is discllsscd i]] section 2. WC also wwk out a ]calistic si]llulatioJ] wlw]chy ii 2-1) i]tl:lg,c is

]ccolIstIilctcd t[)]l]c)g,l:i])llicall}~ llsi]l[’, ~louIId (lata w i t h atld w’itlloul 1 ,lio-(il>S li]lks; Illis i s

discussed ill scctioll 3. II]

cxalltillcd ill I]lole dctai]s

iwl(~s]dw]c alr ]Mc.se]ltd. A

2. I’ICI)AG()(;I{:AI. lIXAM1’1/lC

(’o]lsidcl tl]c p,co]IJc.lIy o f l:i~,. 3, \\T]ICJC wc divi(lc 01]1 ]Cf,io]] of i]]tc]vsl wl]icll

Collcsjml)ds 10 ii Jcc[anf,lc of 30()()x45() klI)2 illlf) 20X?() ])ixc.ls. (’o]lsidc] a [Iill]slt]illi]l$ satcllilc

10 Iw jmssillg, almvc Il]is wp,iol] , al]d Il]lcc ]Cccivcls locatcci oll (tic $,l(~u]ld twlow’ II]is lc?,ioll 2s

sliou’11 ill tlw l:ip,. 3, ‘J’]lc c{~]lcs])c)ll(lil]g, ]ili~s \J~(\\~cc]I l~)c tlil]lslllill~l :t]](l I)lc ]~.ccijc] :Ilc 211so

sl~olvlt. ()]lly ]I)c:i\LllcIIIcIlts as low :Is 13° clc\’;llio]j f’10111 [I]c s i d e ]cccivc]s al](i 200” clc\’atio]]

f] OIII llIc ]I]iddlc ]cccivc] atc itlcludcri ill ou] dat:l set, “1’llis is to ~,ll:{t:illtm Il]al tlicrc is II() exl I; I

collt]il)u[iol]” 10 llIc ‘J’l;(’ flo]]] oulsi(k llw ]1’:,io]l of i t l l ( . lest . \?Jc iilso dWNIIIC 111:11 tlIc f]uc clcct IoII

drnsity is lwp,li~,il)lc :ilmvc Il]is ]cf, io]t w 11]:{1 ‘J’]; (’ JIK:i\uJcIIlcJIls alc dLIC oJIly to IIIC CICCII (H)

(lc I]sily llIat lies llmsl]y Ivill]ill llK ]c:,iotl of illtctcsl, ‘J’llis a<sil]tll)lioll is 1101 p,c]lcl ally valid sitlcc

Illc io]los]))lclc cxlcll(is wc]l atmvc ]()()() KIII, tmt (Ilis cxalll])lc will illuslla(c IIK dc])c]~dc)wc of

tllc stllllli(~]l oll scvc]a] f’:icto]s SIICII ai Itlc ~,coIIIctly of tlIc li]lks ;il I(l Itlc (lIoicc o f a ]ml[i(’ul;ll

4

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-..7

>.

d

c

-.=

==.-P

.. . . ._.

.

-.=

=.

‘a .

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of’ tllc lmxliuln i(sclf. ‘1’lmcfmc oj will bc lal~,el fol t)if,p,cr ])ixcls al]d fm lnorc variat)ility in IIK

IIdiull]. in w]mt follows, we aSSLIIIIC oj r c) fm all j’s, ‘1’llc itllpw[atm of dctcllnil)inp, o will

11 is iln]mr[allt 10 IIolim ttlat in tlm cxa]]]])lc of lip,. 3, so]nc ])ixcls do 1101 tl:lve a]ly links

])dssill:, 1111011S,11 Il]c.1]]. ‘J’l]csc clell]c.ltts ill X a]]d tlmif c{Jllcsl)ol)(lillf, nt]l] coluInIls i]] 1) lIavc to

Iw mmvcd frolil 1 k]. (4) at tl]c outset bcfmc any invc.rsion ]wmess is at [cln])tcd. OIlcc we do t})a[

fo]’ tllc’ Cxamp]c of Iii:,. 3, Wc Cmd u]) wi(ll 11= 3 9 2 llllkllowIl J) W~lllC!(C1’S. 011 111(’ Otllcr ]l~lld \vc

tlavc 11): 476 Il”lcasLll”c]]]c] )ts.

(iclIcrally, 1) will n o t bc of full rank; namc]y, only 1, <7)1 cquatims exisl tl]al a]c

liilcally il)dcpcldcnt. h401cwvcl, IIIC ll~llnbcl of illdc.pc.l]dcll[ cquatiol)s 1 . < )~, tlIc IILIIIII)CI o f

Nllkl)owns. ‘1’l)c.rcfo]e, wc ljdvc an Llj](lclclctcll)lillc.(1 syslcIII of equations. Sin/,ular va lue

(lccc)lll]~ositic)ll (SV1)) of tllc IIlat] ix l) a l lows us l{) ]c]llovc Il]c lillcdl ly dc])clldcjlt c(]uat ions

f] o]l~ oul set of equations. l’cl-fw Ininf, tllc SVI J wc wlilc

wllclc W is a ciiag,onal l(xl, matrix wi[ll its dia:ol]al clclncljts equal to (}1’), JI12, . . ..\t’/. ), sorted

flolll 1-1, ill a dccrcasil]f, o]dcl, wllic]) coIIcs]K)IId to tllc no]i-7cN) sin:,ular ci:jcl)-v:llucs o f 1).

‘1’IIc colu]nlls o f U aIIcl V arc tllc. co]lcs])oll(li[l:,” l e f t tind rig,ht sin~,ular cig,cll-vccto]s

Ics])cctivc]y. ‘1’his factolimtioll allow’s us to twak tllc ])alalnctm space of X into two vcc(or

S}mcs. ‘1’hc firs[ is tllc olic slw]licd by tllc colu]nns of V : ()’/, 1’>, ..,,1’],) . l;acll of tllcs(’ vcct[)]s

collcsponds to a lille.m colnl)imtioll of tl)c oli~,illal pa Iamc[cI space wl}icll CaII bc solved fol, wi(l]

;I v:lti:illcc f,ivcl) by

~ <:; , .0?w,? (6)

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‘]’]lC SCCO))d l’C:,i(Hl CO1’lCS]K)lK~S to t~lC’ 1111]] SJKC W}liCll iS t]IC ]):{1’( O f t}lC’ ])itl’dll”ICtCl” S]MCC

10 wllicb 0111 data am not smsitiw.

‘1’hc sjng,tllar \Jaltlcs (SV) of our cxaln])le js s}mwn in 1 ‘jg,. 4. ‘J’hc followin~j obscwations

aTe (o be mdc: ‘1’bc flrs( M() sjn~,ulal” vtilucs (,SV) decline by tl]me ONIUS of ma~t~itudcs. A sl]aq)

Cllloff ~J)]MXIS bcy(md tllc W@ sin~,ular \’alllc. ‘1’hc larp,cst sil]f,u]al \’aluc HI] coJwspoJIds to tlw

brst dctclunincd lincw combillfitiol] o f lbc }mmlllctcl spwe, namc]y tbe pmdmt ]’)~’ A’. ‘1’lK

sccoII(l sill~,ulal value M’? comx]ml)ds to Illc second tmst dctcrll)ined linc:u colnbinatiol~ of tllc

])al alllrtcl’ S])am, all(l so on. ‘llIc g,collmtrical il]tcl})lc.tatioll of tile eig,cnvcctors l’~ js tll:it tl)c first

wctm ]JJ is tk onc that is most newly ]mrallcl to (llc mws of 1); tllclcfow, it is tllc IJmt Dcall}r

j)alallc] to tllc dilcction of Ou] ]il)ks. ‘J’lIc scco]ld vcc(or js tl}c ol]c tl)at is lI]ost Ilc.ar]y ])ara]lc] tO

tl)c ICtllaildcr, etc. [32]

‘J’lle least sc]uam so]utioli fm tlm systell] is ~,ivcll by

X =- V W ‘1 (17 C (7)

X would Concs]mnd to tllc (Icviatio]l flolll t)Ie a]}liori values for tl]c clcc[mll d e n s i t y i]]

CWII j)ixcl, aIId C wou]d bc It]c difference t)clwcc.n t]]c’ II ICaSLIrN] V: I]lIC’ aII(l t}lc O])C ca]cu]:itcd

b:iwli (m tlic aprimi.

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A ful)damc.ntal issw remains wllicll is clmc)sin:, tlm IIUInbCI of non-mm sinp,u]ar valws,

}i’i , to inclu(lc III (NIJ s(dulion. ]t IS illlpOJ’hlIl( [0 JIOt(’ fl’OJll }’k]. (7) {}M( ttlC ll)OJ’C SiJl~ll]2N V~]LICS

Wc iJ)C]U(k jJl t h e S[dlllion, the Closcl” W’c g e t ([) the [1’llC solLJ[ioI1. on the other hand, incluciinp

lIlol’C fil)d tllC.J’(’fOJ’C. Sllld]CJ’ SiJ):,ll]N Vd]ll CS Ci711SCS thC SO] U(ioJ’1 COV~l’i~Jl(’.C to ~,1’OW \rC1’}’ l“~])i(i]}~ 21S

SCC’.11 fl”OJll 1 k], (8), I)lffcl’ef”lt JllCt]lO(]S ]I~VC ~KTll t@iC.(] ill C]looSiJ):, ” 21 ClltOff V:illl(’ fol” t ]IC’

JItIJIIbCl of singular vfilmx 10 include [32]. ‘1’hc lilaitl point bchid most of these Jncth(ds is (o

Cll(mc a Clltoff, 1,~, such that tlm variawc associated wi[l) tlIc col-les])oli(ljt)g” cjg,cnve.ctor as

g,ivcJl b y 1 k]. (6) Imlkcs physicfi] Se.l)sc!. 1 k)]’ it)statm, iJl lhc Cxmplc abo\’c, SLI])})OSC \\’c IIavc t}l(’

crI or in the ‘1’1 I mcmummu]t 0 =: 101[) (eh2). ‘1’his cJm is due 10 data J)oisc at)d (liscJc(i7,:~[iolt

m c.x])laincd ewlicx. “1’lien a cutoff at 1 ()() Iiln would comxpmids 101 ()] ] (c/1113) of uncc.r[ainty ill

tllc’ C] C. CtIOJl dcJlsity ac.cmding to }’k]. (6). (ijvcJl that lIIC C!lc.ctl 01) dcJ)sity to bc I’(xwvcl’cd (’al) be

of the’ S a m e order of JllagJlilllde 01’ SJJla]]CJ”, t~liS illl])]lC.S t]lfit OJIC shm](l JIO[ try to lJlc]ll(k JMOI’C

sill~,lllaJ Valllcs iJl the sollltioJ).

l;i:,. 5 slIows tl]c solution for a unit ]mpulsc fuJlction in pixel 2’/() (sex liip,. 3) wllicll

Co]ms]x)l)ds 10 the 2“/Otl] C.ollllnll of VVy’ wjtl) 100” sil~~,ular valllcs includd. ‘1’he ]ccons[ructc(l

im:{~,c’ J’esc;nb]es a 2-]> s i n e function w i t ] ) a ]XXJk va]uc’ of’ .38 and a width COIII]MI’:I1)]C to []IC

dil)lcl)si(ms of tllc p]xr] iJI the IIolimlltd and vmtical (Iircctjons,

111 Odcl’ to Cllamdcriyc the uxolution of a so]utioll, we dcfJl)c tl)c wsoll]tiol] of pixel i it)

a s]mcific d imens ion as tllc lcn:, th of ])ixcl J’ i[l tl]at dilllcnsjon o\’e] t h e l)cif,l)t of the

lccollstmc(cd impulse function of ttmt pixel. With this dcfinitiml wc pmcecd to cxalninc tlIc

solution ill a p,ivcn pixel but with cliffcrc.n[ IIUINbCr of sjtlp,ul:il \Jal LIcs incllldcd in (I]c sllln of 1 k].

(7). lip,. 6 sl]ows tl]c l)orimnta] and \cr(ical msolu[ion \’cJsLIs tile standard devi:ltio]l for pixel

~~(). ‘]’hc JILImbCr of S\/’s lncludcd in t]lc solution is itldicated o]] t]lc fl:,urc tit different points.

IIascd on this figulc, ]f 0 = 10]() C/J112, IIICII tllc [Il]certainty ill elcctm]] drnsily a t ]Jjxel 2’70 ]s

:Il)ollt 101 I C/JII~ fol l,(. := 150. ‘1’Ilc colles])ol)(lill:,” rcsoluliojl is abol]t 300” kln in tlIc 110ri7011t; \l

and 45 km ill llw vcmical dinlcnsions,

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‘1’be discussion] in this section is lIot rcshictcd to a basis consisting, of pixc]s, ht CaII bc

g,cnc.rfilixd 10 aIIy finite set of fllnclions (bat we choose (0 expand (be sollltiol]. ‘J’be inain

clucs[ion to bc answered is how wcl] dors (mr finite. b:isis span :iclua] structures ill ttm imosphcrc

sillcc Illat ;S a lnajor c.ontrjl)utor to tllc sim of 0. We feel tllfit this jwint is SO fundalncn(a] to

IIllderstanding tbc inbme.nt rc.lationsbil) twtwccl] tt]c ilnag,e, tbe basis in wbicl] wc cx]Mnd our

solutiol~, tlic. data noise Wld tllc strcllg,tll of da(a to rccovcr tbc ilnag,c. wlmre furt]mr ctaboration is

n mrite.d.

(lmsidcr tbc simp]c fillitc 2-1) ima~c of tt]c jonosphcre shrew in l:ig. 7 where [k density

is constant insick of each pixel. }itlI(lICJIIlOI-c, assume tl)at OUI cltita is }~oi.~clcs.y. Now consider

that \vc scan tbcimagcfroln a specific anp,]e., 0~, sNclltl)fit our first link will {)~lly]~asstllrc)t]gt) a

,Yi~/~lc l)ixc.1 ill the upper-rig,llt corm]- of tk imap,c. It is clew that tbc first link will immcdiatc]y

p,i\’etlle( lellsityi lltllcfilst ])ixcl. Su]qmsc.that weflx tllc \’icw7jl]g allg,le ofo LlIlillkt}llt” welnove

it in such a way that ]t crosses one additional new pixel at a time. ‘1’hcm each new ctata poin( will

p,ivc tlm density of tlm additional new ])ixel that it passes tl]roug,l] (I:ig. 7). ‘1’llis ])]occxs will

:lllc)~i~~]s tc)]ccc)l]strl]ct tlmdcnsitic.sil) all tl)cpixe] fIOIII a si]lp,le.\~ie\\i]lFal)g,le ofttlc image. A

SV1) analysis of links 1-4 yields four noll-z,ero sil]g,tllal va]ucs. 011 the otbcl lIand d SV1)

analysis of links 5-8 g,ives only two l]on-mm silig, ulal valiles, since only two out of links 5-8 fire

inde.jmdent. in rc.ality, if tbcpicturc is not discrctimd in exactly the same manmrthat wcc}]oosc

0111 l)ixcls, links 1-4 will not bc supc.~io] to li[lks 5-8 but tl}e SV1) mlalysis is not capab]c o f

telling, us that directly. It is only tbroug,]l fin indc])cndcnl csti]nate of 0, sLIch as computing the

post-fit resi(lLlals c) ftllc'l'l LC:clata ([liffele.l]cel> c.t\~ccl~ I]]c:isLIIcc1’1’liC’tirI(l co]])] )lltc(l’I’ll( ;l~:isc.(1

on tl]c solution), that one. can c.omlmtc tllc covaliance of tbc sollltion aild conscqucnt]y estimale

the s[rcn~ll] of tbc data. Anotbc.r im]m(an~ point to l)c Il)ade IIc.re is tlltit if tile basis fllnc(ions

cliosc]~ corrcspoI)cl to the correct II]odcs of (be ilnase, ll]cJ) an accurate ilnagc can be obtaind

will] a very restricted, but aj~]~ro]~t-ialr, set of data. “1’his situatiol] is dc]no]]s~mtcxl I)y l<ayJllLInd c1

al. WIICIC a set of cmpirica] orthol)mnal functions arc used as a l~asis to capture lar~,e scale

fciitlllcs of tllc ionos})lmc fmll} a lirnite(i set of data [ 10, 33].

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3. SIMII1,A’1’10IV

WC proced by gcmra(ing data based OII a 2-1) slit.c of the icmosphcre (Iiig. 8). “1’his 2-1)

g,rid whit}) was gencmld according to the l’aramc[e.rimd lonosphcrjc h40dcl (PIM) corrcs]mds

[0 Ilm electron dmsity at 20(” 1 I p,c.odclic lon~,itudc, 12:()() hr. wiversd time, Sc.ptelntw.] ?6, 1992,

aIId cxtcmls fmm -800” 10 +800” N geodetic lat it udc (on] y data from -200” to 400” h’ are showJI jn

lijg,. 8). ‘J’hc dcnsily js rcprcseI]tativc of the jonosplmre durjllg the day time, wjt]l a solar spot

ncw so]ar maximum. l)lh4 is a worldwide e]cctml) density pJofilc Jnodcl, dcvclopcxl by 1). N.

Amlcrson of the Air 1 kwc.e. l’hi]li])s 1 Amatory. “1’llis ]lIocld is a parametcrimrt wmion of the lllah

S t a t e Univc.rsjty Jnodel, \vhich ]s a coJnplctc, fiJxt pl incjplc,s, joJlosp}mric Jnoclcl using as inputs

tllc soltir llV flux wa\7e.lcnSth prof]le, the llcdin neutral wind model, the h4Sl S-86 ncutra]

atlnosphcrc mock], and an clcct Jic field mode] obtained from all available cxpcrimcJltal data. “1’t}c

2-1) ilmi~c. has a mtiiJl lobe at about 23° N latitude. and 350 km altitude with a pmk density of

2.3X 1($’ (c./cmq.

we limit our iJnagiJlg 10 the rc~,icm bc.twccj”l - 5 0 0” to ()()[) N. ]atit de and bctwccn 80 to

1000 km alli[mlc. We ciivjdc this rcgjon ijlto 22 pixels horimntal]y and ?2 pjxc]s vcJlically. Wc

]>]aCC SCVCII ~1’OUJI(] J’CCC.IVCIS at -200 ,” -1 ()(), (Y), 1 ()[’, 20[’, 3(Y) Md 400” N latitude. liach Jcccivcr is

tcackin:, dowJl to 1() degrees clcvatioJ] \J’ith a data po]nt taken every 2 dcgJrcs. IJjg. 9.:1 shows

the lc.col)sllllc(ioll” of the mp,ion from gJOL]nd dala alone. ‘1’lm peak (ieJlsity of the reconstruction

is almut ] .75x] ()(’ (c./cm~) fiJ]d is 10CXJICCI at 20[)-250” N ]atitudc aJIcl 250 kJn al t i tude. ‘1’hc

]K)ri70Jltal fcatllre.s sLIch as [k shwp grac]icJ)t bctwecJ) ] ()(] N w(] 200” N and tllc Jnaximum

dCll Sity bCt WCC.Jl ] 5[) ~1 ~Jl(i 300” N ~J’C J’C.f]CCtC(] ill the J’CCOll StI’LICtioJl; howeveJ, a S(l’OIIF, VCI’(i CH]

corrc]at ion bc[wecn the pixels is cvidc.nt. ‘1’hc lack of t hc g,round data alone 10 cfiplu] c the vcrtica]

S(l’LICtlll’C is due to tllc s t r o n g coJ’1’elatiol) of tllc p,l’mm[l data at a l l r.lcvatioJls wjtll 7cJlith

lllc;lslllclllcJlts. ‘1’his corrcldtion ]Ilakcs tl)c 1) ]nalrix hig,hly sjnp,u]al, aI)d ds cx])laincd cwlicl,

c)llly linear colnbinations of electron densities llIfit fire lnost]y pardllc] 10 tllc

dctcrlninrd. ‘1’hc inabi l i ty 10 ca])ture vcrlica] strLIct LIJcs with g,mt}n(i

clala ljnks arc we]]

data alone using

J o

Page 11: 1. lN'I'ltol)ll(''I'lo N”

coJJvcntional toll~ogral>l~icll~etllo(ls c)rt}lcc[}r~\~(Jllltic)l] back pmjcction algorithms is rcflcctd in

the litcrat urc [4, 34]. More. recently, Raynlund c.t d. [ 1()] and Raymund [33] used the empirical

OJ (hmiormal functions as a basis (0 capture the large scale structures of the ionosphere in both the

lmimntal and verlical dircc{ions. 1 lowc\’er, in this way, only features in the iomsphc.rc that arc

tru] y rcprese.ntcci by the empirical or[hcmw I]]nl set of functions cm bc mcovcrcxi. Anti evm (Iv.m,

only ttmsc functions that the grcmn(i dnta me sensiti\~c to cm bc solvmi for, as ciiscusse.(i in the

cxamp]c of l;ig, 7.

}iig. !).b is the. lcconstmction W1)CJC tl)c sanlc ciata from p,roun(i is uscxi in col~lunctioll

witl] a ,!i~lgle occultation happcninpj in the same 2-11 plane witl] the tangent poi Jlt of the

occultations at ] (){) N. III this case, we star[ to (iistinguisb some of the mom (ictai]c.(i feat L1m of

the. ?-l) structure, such as the high c.tcctroII cicmsity near 2(F’ N latitu(ic. mci 300-400” k]]] altituck.

‘] ’he s]opc of tllc lilain lobe. il~ the true imag,c call, to SOJM CXtC1)t, bC SeCl] il”l thC l’C.COIISt~llCti{ )l).

(h thr other band, h tangent ia l links lIave c.orrdatexi tile (iata i]) a way that ma(ie the sharp

~la(iicnt at 15~’ N (iisappcar. ‘1’lm Jnaximum re.constradcxi electron (icnsity in this example is

1 .9X 10(” dclll~.

II] these two cxaln])lcs, Ihc slnfillcst cutoff inclucic,(i ill ll]c solution was equal 10 100” k]ll

dn(i no apriorj was assulnui. ‘1’hc fact that the solutions are of minimum norm explain why they

Llll(iclc.slill)ate Iilc true Cic.nsil y, 1 ‘Lll.(llc]l)lo]c., no constraints we.rc applieci, \vhich rcsultc(i in some

ncg,ativc electron (iensitics (shown as purple ]Jixcls). ‘1’lIc main point of these two examples is to

scc tt)c effect of ackiing tangclltia] links 10 grout)(i data.

III rc.a] life situation, the fact that a G1’S-1 Jio oc.cultatiml may not fall ill exactly tlw same

])lanc as an array of groun(i rec.civcrs lrackin~, son)c other low cfirth orbit satellite (ioc.s not

ilnposc a rc.al lilnitation, A genera] npproach to Llsing, the (il’S (iata woul(i bc to illtro(il]cc profiles

that cal) be accuratdy g,cncratcxi wit]] the Cil)S at ccltain lalitl](ie-101lg,itLlcic points as collstrain[s

11

Page 12: 1. lN'I'ltol)ll(''I'lo N”

or apriorj 10 p,round bad solution. ‘J’hc topic of ot)lainil]gj high resolution ]mfilcx wit]] t}m G1’S

isdiscusscd next.

4. IONOSI’IIIU{]C” OUXJ1 ,’J’AI’IONS

With the full col]s[c.llalion of tl)c (il’S salcllitcs, a sil)gle (;1’S receiver ]n a ncaT po]al

orbit will obsclvc ovm 500 occultations pcr (lay, Spread about the ~,l[)bc. ‘Jllc fiI’sl set of cmll

:{tlnos])l)cric occultations using ~]1’S will bc avail ab]c when an 800 km altitude orbiter, GPLS -

MI {’1’, will br ]aunchc.cl in h4ay of 1994. C; I’S-N4} i’]’ will have a Iligh prccisim rc.ccivcr, ca])ab]c

of’ tl:tcking 8 GPS satellites siljlllltal]cc)~lsl>~. With an af{-lookinp, ante.nna, the G1’S-h41 1’1’ will

COVC.] only ha]f of the fu]] sky an(i I]lc.rcfol.e provi(ie OVCJ 200” ~]c)ba]]y (iistribll(cxi OCCLI](ati OJlS

(i:lil y. A rcprcsmtativc covcragc of the. G} ’S-h4 113’ during cmc (iay is shown in 1 ;ig. 1().

III tlw ]mvious se.ctim~, flight [iata lms bcc.n usui IogcIhc.I with g,roumi ciala mostly in the

context of tomography whom both horiml]tal an(i vertical resolution arc being,

simu]t amous]y. A second apprcMch by which ihe f] ig,ht citita can bc. anal ynxi is

inversim~ process of the bcnciing angle [[(</) (I;i:,. 1 ) via an Abe.] transform

theoretical limit of thr vcrlica] resolution obtainable (hrou~h this te.cbniquc is

diffraction limit of the gc.omctric optics a~>])loxil~lalioll;” namc]y, lhc vcr(ical an(i the

S[)lve(i i-()]”

by a ciircct

[1 1]. ‘1’llc

Set by tllc

cmss-beam

dimcnsims of [he sampling, volume are aplmximatc] y g,ivcn by the ciialnctcr of the fiml } ‘rcsncl

mnc. in tllc absence of bcmiing, t})e first 1+’resncl K)NC is ap])roxilnate]y given by the (iialnctcr of

a cone with its apex at t}le re.ccivcr, ils axis being, tllc (iislancc fmlll the rcccivel to Illc Itil]gcn[

]mill(, an(i tllc rfiys fonnijjg (}]c COIIC. ]l~vjl)g a ]~J)~t}) of t]lis SaIIIC d]stal)cc p]US ollc-]]aif t]lc ra(iio

\\’avclcllgll]. ‘1’hc. 1+’rcsnc] zone. co]res]mn(is to abollt 1 kln for a rcccivcr in orbit at an alti(u(ic of

800” iiln obscr\’ing a G1’S satellite. }Iowevcr, a

ionos])l]cric \~cr[ical profi]cs o f elcclmn cicnsity

l-cldtivc]y lw:,c horizontal structtlrc (l)at the signai

Ilue lililitation in rcconstructil]~ accura te

flom occultation (iat:i alone is (iuc to (I1c

]as to plebe causing tl]c spllc.ric:{] sy]nmctry

assulnptioll to bc inaccurate,. in wl)al follows, wc will cxalnil)c I)ow’ wcl] ollc can (io by ip, noling,

l]m llorimntai g,rticiicnt, :m(i means of improvilt~ that.

12

Page 13: 1. lN'I'ltol)ll(''I'lo N”

!

we. LISC out silnu]ate.d Stlllctllrc. of }il~. 8 as the troth. in order tc) Cxamine the Cffc.c( of l~lc

ionosphere on the signal, wc assume a g,comctry whereby a 1,1X) salcllite is occulting a GPS

satellite, wjth tl]e tangc.nt point of l}]c occultation link at 20 dcg,. ltititl}clc. “Illis latitude

corrcs]mlicls to the reg,ion of’ maximunl clc.drm dmlsit y profi]c in our 2-I) p,rid. ‘1’hc amOLIIIt of

bcnc]ing ancl signal delay as a funclio~l of the hcip,ht of tl)c Iangc.nt point is showJI jn l;ig. 11 for

Ihc (;1’S 1.1 sify]al. ‘1’hc c. ffcct on the 1.2 signal is the. same but a factor of 1.65 b]p,p,cr. ‘1’hc

negative. delay imp]ics a phase. acivance. ‘Il]c. curvatme at a given point on lhc 1 .}iO-G}’S ray is

jn the direction of inclcasjng index c)f rcfractjoll or dccreasill~ electron density. (]+’or the

relationship bctwccn mfmctivity and clc.ctron density sec. rcfcrcnce 1.) A ~msitivc sig, n of the

bcndinf, angle. is suck that tl]e curvature of the ray is toward the center of tllc car(h. ‘Jl]c bcndin~,

of the ray is directly pro~mr(iona] to the alnount of dopplcr shift that the my cxpcric.llccs, wt]icll

jn turn is pmpmlional to tllc phase. chnngc. ‘1’his c.xj)lfiins why the bcnclil~g, chanscs sign at the

]mjnt where the delay is at a miJliJnuln ncaJ the 1;2 peak. I’hc oscillatiol~s iJ) bcJldin~, Jlcar the 1;

Jc.g,ion arc siJnilarly [iuc to the cltang,c in curvature of the delay. It is wor[h noticitlgj that even

tiurin~ the (iay time an(i near so]al maxi] nulll, tllc absolute bending, (iocs not cxcccd ().()16

(().()26) cicgrcm for 1,] (] .2). “J’l]c IIlagnitu(ic of t]]c dc]ay for ],1 is about go Jncters, w]lich

corJcs]K~ncis to a total clcc(rc)n content of about 250X] () ] 6 c./]n2.

Given that the bc.nci]ng ]s small, in tl)c following analysis wc will :issunlc that ttlc si~]~:il

travc]s aloJlg a straight path conncctin~, the tJansmitlc.1 an(i the rcccivcr. Assunli Jlp, H locally

spl)crical]y symJnc.tric atmosphere, we solve for the elcclron cicnsity profiles for several

occu]tatiw]s wit]] tangcJlt points at -20C), ()(), 200” an(i 400” h~ gcwcictic ]a(itu(ie. ]iig,. 1 ? s] Io\J’s tllr

true electron (icJlsity (soli(i liJlc) aJl(i tl)c lccol~strllctic)ll (opel] (iialnon(i) at tl]csc latjtu(ics. ‘1’l)c

two peaks of each profile co] tespon(i to the 12 peak at 300-400 kJn a]titucie all(i tllc 1; peak at

-1 ()() kIII altillldc. ‘1’hc followin:, observations wii] Ilclp ill llIl(icIstaIl(iitlp, solnc of tljc Cffcct of tllc

spl Icrical symmetry awumption OH tllc le.cc)l)stlllctioll.

Page 14: 1. lN'I'ltol)ll(''I'lo N”

‘1’hc sc~lutioJ] at 20° latitude lar~,cly undc.rcstima[cs the trLle profllc. ‘1’he mmm bc.ing that

tlm Iruc. c.lcclron cic.nsily pmfi]c fit abollt 200 cmrcsponds 10 a Inaximum in t h e p l a n e o f

occultation. ‘J’his imp]ics tl]at the signal would bc slower on bet]] sick of the. tmp,cnt point;

t]mrcforc, 011 the average, it WOL]lC] g,ivc a small cl” cslimatc of tl)c clcctml) density. }]owcvcr,

under gcmral conditions, whcm tl)c profile corrcspoIIds to neither a maximum nor a minimum

with rc.s]xxt 10 its sLlrlounding, arc.a, a canccllatiml effect take.s p]acc and a more accLIratc

rccm~structim can bc obtained. }JOI instamc, if for cac.h layc.r that the signtil is p:issing, (hrough,

wc have a horimnta] pradicnt that is changing lineally as a fuDct ion of the arc lcmgtl] from (Ilc

ttinp,cnl point of occultation, the si~tlal slows cIown and spcc,cls up around the tan~cnt ]mint by

exactly the same amount, so tl)at the c.s(illlatcd rcfracli\~ity is exactly that of the. tmgcnl point. in

tllc mow g,cncml cnsc., all odd co]l-lpomnls of tl)c Ilorinmta] gradient around the tallgcnt point

c.ancc]; only even terms contribL)tc to tl]c c.rror in rcfmctivit y [ 17]. ‘l’his cxp]ains the almost cxad

a~rccmcllt betwccl] tbc rccollstrLlctc.d and the. tmc ]n”ofi]c above the ]; region for the. -200” ]atitude

case wlmrc tlm actual c.lcctron density at tlmt latitude is nc)t exactly spherical. On ttm otlm hand,

a sl]aq) IIorimntal gyadicmt in Ihc clc.ctmn density appcws bctwc.cn 20[) ancl fl(F) latitude and tl)c

gradient g,cts cmlsidcrably smaller beyond 400.” ‘J’lm net c. ffcct on the occLlltation with a tangent

point at 400” is that the signal will tr:ivc] fastcv on onc side of the tang,cmt point bLlt not S1OWF

c.noLl~,h 01) tlm other si(ictocolll]~cllsatc” fortllc s}mcd in tllc first side, resulting, ill an ovcrcstim:i(c

of the electron dcmsity.

Anot]mr pmblcm of tl]c mconstrudccl profi]c is that ii depicts a negative clc.c(roD density

al tllr bot(om of tl]c imospl]c.rc, whic]l is a physical ilnpossibi]ily. imposing posit ivity on the

solution cm bc used as an extra constraint to im]wovc the rCXLlltS.

A first order il~l]>l(~vcll~c]~t over tllc sphcrica]ly sylnmc.tric assulnption is to divide tllc

ionosphere into pixc]s in the same manner that hfis bc.cn done’fm the tomography of section 3.

‘I’llcll collstltiill]> ixc.lslyillp,~lcxt toca(,l]o ttlclllo liy,[)llt:~lly (i.e. illtllc s:{llle laycl)t oll:l\’ctig, i\cll

functimal form with al~t)ll(lctcll)lillc.cl scale factor. ‘1’l]isfLll)ctioll:{l follllc: il~bctl ]c.szilllcf{)lall

14

Page 15: 1. lN'I'ltol)ll(''I'lo N”

layers, or diffmnt fm diffmn[ laps. ‘1’hcn one can solve, for the unknown scale fdctor for c.acll

layer. ‘J’llis reduc.cs a 2 0] 3 di]m.]lsiotla] poble.m into a one dimctisio]l problem wlm c only [lIc

scale fwtoI has to h found fm cm.h layer. Stfitcd IIlatljr.lllatically, this can hc formulatd as

fol low. {kmsidc.r }{q. (4) where X is the column of n Unktiowli densities collcs])ol](li]lp, 10 n

pixc]s. Suppose. wc have a 2-1) imag,e. which is divided in Jmlar coordinates into E) slims in the

ang,ular dire.c[ioll and R layers radially as Show’n in }iip,. 13.1 .ct r; bc t}lc radius of ldycl i (Ind ~j

h tk aIIgle. of the ccntcr of slice j, Wc corrcla(c Ilm c.lcmemts of X as follow

xf) = (z] g(lj ,o@)

Xf)+ ] = (X2 g(l”p, ol) (9)

Wllc]’c [xl, [1’?, . . . , w are ul]knmvn scaling, factms and g(r, 0) is d ~,ivcn function. “1’hcn liq. (4)

IC(IIICCS 10

C = B))1.1’1 J)l.XR

W]ICIC A~’ = ((X1, ~z,

n},l = d], ] go”

A-t]<h’1 ) ? l . 1 ’1 (1 ())

l~],? = d],~)+ , ~(l”z,o]) -1 d,,()+~ g(}”l, o>) + “ “ + d],2@g(r2,0@)

]5

(11)

Page 16: 1. lN'I'ltol)ll(''I'lo N”

dj; arc tbc. original clcmcnt of the mfitrix l) in l~c]. (4). By in(roclucing tl]c correlation functiol)

g(r, 0), IIIC numbc.r o f UI-IkI)mVIIS arc Iducc(l to R. in t]m case of atl occulttition, onc cali cboosc

]J~= R in(icpc.ncicnt mcasLlrcmcnts mci tile.rc.fore, ol~tain a utliquc. solution for A7.

liig. ] 2 slmws tlIc Kxmstructcxi ]nofl]cs wllcII tlm same functional form is a]y)lic(i to ail

tllc layers of k ior~ospbc.m, name.ly go, O): g(0). ‘1’lm app]icci fLlnctioll g(0) corrcsp(m(is to the

m]itll total e.lectmn conten( from the gmlnd up to 1000 kln bc.ig,bt at givcm latitu(ic.. Such data

are g,cneral]y avdilable from mo(ic]s o~ p,toba] z,cnitll ‘1’1 i(; mtips w})ic}] arc S,cnmatcxi usilig, GIYS

or by othc.r means. [26,30] Wit]) the ap])lication of tl)c same. l)orimnta] g,ra(iicnt to corrcla[c

pixc]s at a givcm layer, tbc solu[ion ill)jm\’cs on avm ap,c as seen froln }:I/’,. 12 (soli(i squares). A

sc.con(i cmie.r imJ~rovcmcnt is yet Jmssiblc by applying ciiffc.rent horimntal gra(iicl~ts to tbc

ciiffcrcnt layers, as cat) bc obtainc.ci froln III(ICiCl S or fro]n intcrlmlation of nearby occultat ions or

froln IIlocic]s. ‘J’lle. i(ic.a of using, nci#Jbol ing, occul ta t ions in an itcrat ivc Pdshion in or(icl to

im]mve \wrtical profile.s was first sup,ge.steci md now is undc] investigation by (Miu d al. I 29]

Of tbe most strikins cl)aractcristics of all the rcconstrLlc(cd prof]]cs of }ii~,. 12 is that the

(iata arc sc~lsitive to tlkc 1{ layer of thr ionosJ]l)cIe.. 1 !\~cn whc.n the simJJlc.st aJIJ>roacll is bcingj

uscci, nlimciy wbc.n sphc.rical symmc,try is assumcci, the ]>c)illt-to-]>(~illt stmcturc of tl)c 1 i layc.r is

I ccovcmi, bui [be overall lcvc] is off. R y constraining, tbc sol Ll[ion to fi+ll within low’c] an(i uJqmr

bouJI(is at certain hcigbls, the overall lcvc.1 can bc imJm)vc(i. ‘1’}K G1’S Jmvi(ics a unique systcln

for scnsin~, tbc. 1 i layer of the. iom)sJ~hc.rc which, l]]I(ic.J I~orJIIal con(iit ions, CaJI not t)c (ietcctcd

fl”OJ[l ~,l”(NIJl(i (iata aloJ)c.

5. (X) N(3.IISION

‘1’lm impmlancc of choosing tllc prtqw t~asis to CX]MJI(i a soluliol) }ias bccJI dCII lons(ratc(l

ill tile ioJlosp]lcJ”ic” toJnog,J’ap]ly” ]itcJ”atllrc [ ](), 33]. W]lCJI clloosin:, a basis, there arc’ two C]llcs(ioms

to l)c atlswc.rcxi in or(icr to asses l]o\v wcl] tlm ionos])llcrr Cali bc ima~,cxi: 1 ‘irst, lIo\4J well (iocs ti]c

lmsis l’CJ)l’CSC1ltS actua] StJLICtLIrCS ill I]IC ionospijcj”c? sccOI)(i, ]IO\\’ WC]] CaI) l} IC.SC fl)l)ctiol)s bc

J6

Page 17: 1. lN'I'ltol)ll(''I'lo N”

dccorrclatc(l by a ~iVCIl ~,e.omcl]’y Of ]il]ks? ~)])e Wti~ of alWC1’iI)fI, t]lC f(mlcl (] LICSti(Ml iS b}’

c.xalniningj the post-fit msictuals of the data. ‘J’IIc answm to the lal(c.r qucs(i(m is p(wsit)lc wit]] the

ap]~lica[i(m of singular value (le.coIlll)ositiol~ analysis, SVIJ can bc vtu y uscfLl] to dctcnllinc what

lilmar combinations of the. tmis functions the data cfin rcso]vc and to what accuracy.

GcIIcrally spcakin:,, w h e n IOmc)g,ra])lly is CJll]J]C)~C.Cl (() 1’CCOllStl’llCt tllc iollos])l)elc, 011(’

sholll(i alwtiys cxpcet insuffjcicn( strcIJp,[lI in the (Itata to obtain a u]~iquc sc)l Ll(ion. l{csolution and

accuracy arc \~cry lnuch clc. pcmdcnt on tbc model used, llm varial)ility of the Incdillnl wd 011 tllc

data noise.

‘1’llc work clone in this pa])cr su:,~,csts Itlfil data from space, is not stlfficicn[ by i[sc]f to

])roducc very accurate ]mfile. s of the ionosphere, except whcll borimntal varifibility is at a

lnininu]ln, m varies in a way that allows cancel latim) of rows. On the other hand, SIOUII(I data

arc vcIy Iestrictcd in scmsinf, vulical stIuct wc.s. 1 lowcvm, when gtoun(l data arc used along wi[h

data fmm space, significant i]])j)Io\~c.]l)cI)(s am mack to lIIC pmf]lc solutioIIs. ‘J’hc \t’ide use of

{il’S suggests ttla( data from se.vcra] 1,1;() satellite.s traekinp, (;1’S will be availab]c in the near

fLllurc. ‘] ’}lCSC data can bc usc.cl it] conjunction will] availab]c F,roNnd data ci[l]cr directly or to

}M’OVi(iC IICC(]C(] :lJM’i(H’i JM’ofih. Slllli]ady, ~,1’OllIICi d:t(a C a l l bC llSCd ([) ilIIJXNC COIIStI[tiIl[S 011 thC

]loI’17011[fi] StI’LICtLllC W]licti [Ile ~i])s-] ,Ii{) i s inse.nsilive. to. ‘~’}~c Gl)s-] ,]{C) clata i s sc]lsi(ivc to

small vcr(ical S(WILIICS in the ionospbcrc such m Ibc I L layer.

A scald (iown version of this work has appc,;~tcd in the }’l~)ccef]illg,~ Of l)?c ]ON.C;}’,S 9.?

(’{)~j,~crrllcc, lnstitLltc of NaviS,tition, Salt 1.fikc city, IJ(ah, 1993. ‘1’}]c work dcscribcd lKrc was

Cal’I’i C(l 01][ al tllc .111 l>rc)])ulsiolj 1 ,fiboratory, <k]iforj]ia ]nstitllte of ‘1’cc]lno](~p,y, un(ieI contract

wj[ll tbc Nati(mal Aeronautics and S]Mcc A(l]l)il)istl:itioI].

1 “1

Page 18: 1. lN'I'ltol)ll(''I'lo N”

12] Austcn, J. R., S. J, lkmlm, C. 11. 1.iu, 10M)S]J1KXIC ima~ing usil)g, colnl)utcriml toIII(Jg,[:I}-JIIy,

l<dio ,Sci., 23, ?99-307, 19S8.

[3] Na 11., and 11. 1,ec, Resolution analysis of tomo~,raphyic rccoI~stlL~c[i[)~~ of clcdron density

profiles in the ionosphere, 1/](. 3. lmagillg Sy,ff. 7kch1jt)l., 2:209-218, 1990

[4] Raymun(l ‘1’. 1)., .). R. Austc.J], S. .1. };rankc, (~. 11. 1,iu, J. A. Klobuchar, and J. Stalker,

App]icalim o f cO1l~])lllcl’i~.e(l toJIm{:Iaphy t o tl)c iJ)\mtigaliO1l o f imlos])lmlic SIIUC(LIJCX,

Radio Sci., 25:7”/ 1-789, 1990.

[5] Na 11., tit)d 11.1 xx, OItlIogoIIal clc.col)ll~ositio]l tecllniqlle for ionospheric toInop,ral)lIy,” lI?I. .1.

imaging Sysl. 7kchIIol., 3:354-365, l991.

[6] Yell K. (;. and “J’. 1>. l<aymLIJ~cl, 1,ilnitations of ionospheric ilnaging, by tolnogral)lly, Rfidio

Sri., 26:1361-1380, 1991

[“)] l;rcm(mw 1). J., J. A. Sccan, 1~. M. IIowe, A]q~licatiol~ of stocllastir inverse theory to

i(~nospllc]-ie tomograp}ly, Radio S’ci., 27:’721-732, 1992.

[ 8 ] KunitsyIl V. Ii. and Ii. 1). “1’cIcslIclIc.JIkc), lJctcJJ~lill;{tic)J) o f tlIc turl)ulcnt s])c.c(rLIIn it] tllc

ionosphere by a tomop,raj)l)ic IIlctll(d, .1. of A ll?t{),vj~hcric {IIId 7’ctrcLv!tiol l’]ly.vic,v,

54:1275-1282, 1992.

[9] l<aymllid, “J’. 1)., s. Ii. Pryse, 1,. KCJSICy, md J. A. ‘1’. 1 lcatoJI, ‘1’olllc)g,]:i])llic lccc)I)s[lLlctic)I) of

tlIc ionos])hcrie electron dc]lsity wit]i 1 iLIJo])can incollcrcl]l scatter radar vcrificatioll,

Radio Sci., 28:81 1-81’/, 1993.

[ ]()] ]<aylilllI)(], ‘1’.] )., S. J . ]’]’al)kc, aJ”I(l K . ~’. ~c]I, ]oI)OSp]ICJ’iC tol))op,I’:i])h~:” ]ts ]lIlliti{tlOJ)S :iJI(l

J“cconstrllctim mctt 10(]s, .). Alt?]m. yi’l”r. )’}?~’s., iJl press , ] !)gd.

18

Page 19: 1. lN'I'ltol)ll(''I'lo N”

[11 1 l~clcl{m G., A. J. Klime., and V. R. }ishlelixin, ‘1’hc mutral atmosphcm of Venus m s(udicd

with tlm h4ari1wr V radio oc.c\IltatioII cxprrill~cnls, A,$Ito/Iol~l.. J., 76:123-140, 1971.

[12] “J’ylcr G. 1,,, Radio propa~ation Cxpcrililcllts in t]m olltcr solar systcm with Voyfig,e.r, }’roc.

II!7W, 75:1404-1431, 1987, and ICfcrcllccs lllcrcin.

[ 13] IIird M, K., S. W. Asmar, J. l). Brcnklc, P. Iklcnhofcl, 0. l’ankc, h4. Patmid, and }1.

Vo]]and, l]]ysses radio occu]tatim obsc.rvatioms of t]lc ]0 p]aslna to] us c] Llritlp, t]ic Juj)itcr

cncountcr, Scimcc, 257:1531-1535, 1 W?.

[14] IIar(ly K. R., IJ.P. llinson, G,] ,.7’ylcI, Ii.]<. Kursinski, Atlnosplmric profiles ftom acti\c

space-basd radio Illc.asLIIcl]lc.I]ls, l’roc. of tlIc 6th coIi.fcIcIIcc [JII S(itcllilc Mclcorology

find C)ce~J/I{Jgr~I/)}ZJ, ‘1’hc Amc.rican h4ctcwrologicd Socic.t y, Boston, 1992.

~ 1 S] IIardy K. R., IIajl G. A., Kursinski Ii. R., Accuracies of atmm])llcric profllcs obtaid fro]]]

GI’S occultations, l’roc. of Ihe }ON-G}’S 9.? (,’onfi, ]nst iiutc of Navigation, Sal( 1 ,akc c]ty,

]gg~t

[17] Kursinski li.1<., (;. A. IIajj, K. R. IIaidy, A(]nosphclic ])lofi]cs from radio occLll(:ition

II]c.fislllclllcllts o f GJ3S satcllilcs, in }’roc. of lhr IIllcrjlaliotl{!l ,Voc. for ~)j~ti[{il

l<tlgi~~ecri?lg .vyItIp. 011 Ol~tical l<t)gij~ccrij~g aIId l’jjotot~ic,v ill Aero.vljacc Scicllcc llttd

Sc//LYilrg, Impcr no. 1935-13, international Sot. for OJ)tical 1 inr,., Orlmclo, 1993.

[ 18] YUall 1,.1 /., ]<. A. Anthcs, ]<. 11. \Varc, <~. RockcJ~, W. ]). ]IOIIIICI, h4. G. ]Itvjs, S. ]Iusillg,cr,

S e n s i n g clilnatc cllan~)c Llsing tl]c (ilol>al l]ositiollilig, Systclll, ./. (~f (icoj)hy.!, }/c,\.

~~:]/j92$]49~7, ]993.

11 ‘)] Spilkcr J. J., G1’S signal structure and ]mforl))ancc c}laraclcristics, Alf/~i~fi/ioll, 25:?9-54,

19”/8.

] 9

Page 20: 1. lN'I'ltol)ll(''I'lo N”

120] Wilsm B. 1>. aIId A. J. h4ant)lwci, lrIstI umm[al liascs in ionos])llctic mcastiIcmcIIts da ivcd

from Ci}’S clala, }’rm. of fhe 10N-(;l’,f’ 9.? CoJ!f, ]nslitutc of Navigation, Sa]t 1.akc city,

1993.

[2] ] ];] C.Witt ~., h4. ]~. ]] CfliJl, K. J. ]]tlJ’St, ]). ~:. JCffCrS(m, ](. ]]. Webb, J. ];. ~llJllt)CJ’~,C, Absoluk

fidl”-fldd (hSp]~CCJllCJllS fI’OJll I)IC ?8 JUJIC ]~!)~ ].aJIdc!l’s caJI]”Ic]llakc’ scqllcJlcc, AlatI/rc,

361:34(1-342, 1993.

22] l~ICCXIJIIaJI A, 1’., Me.asNrinp, cart}] olicllta[io~l wit]] Slobs] ]mitioninp, syste]li, }Ilill, Gcod.

65:53-65, 1991.

23] h4alla }<. ]’., S.C. WU, S. h4. 1,ic]]ten, GcoccJ)tcJ’ ]ocation aJKl \’aJiations ill carl}] oliclltfi(iol]

124]

using ~lobal ]msil icming, systcl)l IneWLII-CmCJItS, .). of (;m]~h})s. Rrs. 98:4611-461 ‘i, 1993

lcr(ip,cl- W. 1., J.’l’, Wu, S.(: WtJ, [ira\~jly fic]d iJll]llo\~e.JllcJl( Usinp, (;1’S dt{td flolll

‘1’cJ])cx/l’c)sc.i(lc)J]: a covarlancc analysis, .). of Geophj’s. A’c,Y. 97:1965- 1971, 1992.

[25] ‘1’ral]i 1). h4., S. M. 1.icl)(eil, (k)ll)parisol) of KalJWJN filtcl- estimates of ~cnitll [~tlnospl~c]ic

]Jatll delays Hsin?, the ~i]obal l)ositioning, Systel)l and very long txisc-li J]c illtc~felolllctly,

R~idio Sci., 27:999-1007, 1992.

[26] Wilson 11. 1)., A. J. Mannucci aJICl ‘l’. Roth, Global jonospllcJic maps usin~j a global network

of G1’S rc.uivcrs, l’mc. of the ll~tct-l~atiol~{il I{ P{ICOII Satcllifc .Yymlm.vii!m, cd i t cd by h4 .C.

1 cc., pp. 144-147, l’lasma liusion Gnler, h4assachLlsc[ts lnstitLl(e of ‘J’ccllt]o]op,y, }Ic:icon

Sfitcllitc Symposium, 1992.

[27] CToco ]), (i]) S- Satc]litcs of opporlL]J]ity for imosphcric’ lnonitoring,, C;})S Wor/d, OCI, pp 47-

50, 1991.

[28] YuDck ‘l’. l)., G.]:. 1 .inda], {.11. 1 ,]u, ‘1’IK ro]c of (il)S in prc.cjsc earth obscrvatiof], )Jrm. of

IIilil’1 Jm.vilim Ioca[io]t (IJfd il[t]i~ali[))] .vyt]l]x).vii{]]l, Orlando, 1988.

[29] (;llill, Y. ‘1’., R. N4. RolJjI~soJl, tiIId [i. ‘l’. l)a\’jdson, (ilob:il 3-d Jl]olli(o]i]lg, of tl]c jwlospl]crc

with space-based CII’S rcccivcrs, i n I’I”(Jc. of lhc ltllcttl(llioji(~[ l{cacotl Salcllitc

?0

Page 21: 1. lN'I'ltol)ll(''I'lo N”

I

~$ym]w.!ilm, h4. ~. 1 xX, f2C1., ]Jp. ] d 8- ] 5 ] , ]’]M1lM ] ‘U SiOI1 (:f31tC1’, h4dSSWhLl SCt [S ]IIStitLltC

of ‘1’cc}molog,y, lkxmm Satdli(c symposium, 1992.

[30] h4annucci J. A., R. 1), Wilson, C;, 1). lidwmls, A new mcthd for monitoring, (1K cartl)’s

ionospheric total electron content usin~, the GPS gloha] network, }’roe, of the 10N-Gl’,f’

9.? Cmf, lnstitutc of Navip,atim, Sal[ 1,ake. city, 1993.. .

131 ] Wilson, }1. 1)., A. j. h4annllcci, C;. 1). l;clwards, Sub- clai]y nor(}mrn hcmisp}mrc io~losphcric

ma])s using, thc l G S GI>S nc.twork, l]rm. [!f ihr 7[)1 llllt’t-tl(lli{j)lc~l lorlo.vj)llcric l<’f{JClLV

Sym))., J. Goodman, d., Alcxa!~dria, VA, 1993.

[3?] Wip,~,iIls R. A . , “J’l]c F,e.ncral litlcar irlvcrse. plobleln: iln])lic.atiol) of sul f a c e waves and free

oscillations for c.arlh structure, Rev. of Gcophy. (JIM1 ,Yjmv }’hys., 1():251 -285, 1972,

21

Page 22: 1. lN'I'ltol)ll(''I'lo N”

11’I(;lIR1l CAI)”J’JONS

1 ‘i:,urc 1: OccLlltalion g,comclry for G1’S al]ci a low cart]] orbit satellite,

1 ‘igure 2: ‘lk Global Positioning System con figllrat ion

1 ‘igutc 3: Vie.winp, g,comdry (off scale), l}ividin:, the ionosphere inlo 20X?() pixc.ts.

liip,mc 4: Singular Values of the c.xamp]c of liig,. 3.

l;i~,llrc 5: ‘1’lIc lccoI)stll)ctioJl” of a uni~ iln])ulsc fullctioll at ])ixcl 270, inclLldillp, 100” sin~,ular

valllc.s

1 ‘ig,urc 6: }<cso]L)tion and tlIc coJ’lc.s])OJl(liIl~~” cIroI ill t]Ic ]~cig,l)l)())’])()()(1 of ~)ixc] 270 for cliffcrcnt

lllJINbCJ’S Of SV’S iJIC]ll CICd iJ) thC SO]lltioJ).

]:i~,urc’ 7: A finite aJKi discJ’ctc ~-]> iJnagc. of tlIc ioJlosphc.J’c il]ustrati Jlp, ltlc dcpcJI(lcIIcc of the

data stl”cl)gtl) on the basis fllJICtiOJN.

}ii~,llJ’C 8: SiJ)lll]atCCi dCCtloJ’1 dCJISity lJSiJ)~, tllC ])]hq JldC] at 2 0 (” ]; ~COdCtiC ]OJl~,itll(k, tit ] ?:()()

111.11’1’.

l;ig,Llrc 9: ‘I’OJl-lo~,lal)l) ic” lccoJ)strLlctioJl” of tllc 2-1) iJna~,c of }Jig,. 7, wit]] 7 grOLIJId statl(ms at -200,”

- 1 (P, (F, 1 (F’, 20(’, 3(F aJd 40~) JN)Ith loJlg,itlldc. (a) No OCCll]tatioJl data iJmlu(kxl; (b) includiJlp,

occLlltatioJ)” data.

IIF,LIK 1 (): A rc}msc.ntativc daily occLll(ation coverage for Gl)S-Nlt ;’1’ (total of219 occdtatioI]s).

] ‘ig,llJ’c ] ]: ] k]ay and bcJldiJlp, of the (i]’~ 1.] Si~,tlal as it tJ”avc]s the. caJ’(h’s Iotlosphcrc.

l;ip,urc 12: Vcr(ica] slicrs of tllc ?-1) ilnii~,c of l;ig. 8 at (a) -200” N; ([)) (Y’ N; (c) 20{” N; (d) 400” N.

Sllo\ving, tILltlI ( so l id ]inc) vcrsLls rcconstruclc(i assu]ninf, spl)crica] syIIlmclJy (O]WH dialllond),

all(l I cc(Hlstructcd assuming smnc h(winmt al g,radicmt (solid sqLlaJr).

Page 23: 1. lN'I'ltol)ll(''I'lo N”

liigllrc 13: IIlckxing Convemtim of pixels in polar coorclinatc.s.

Page 24: 1. lN'I'ltol)ll(''I'lo N”

m

“Ga)b{]cs

Page 25: 1. lN'I'ltol)ll(''I'lo N”
Page 26: 1. lN'I'ltol)ll(''I'lo N”

-i.’

lN

VERTICAL EXTENT (km)

“—————+—0 U3 A

0 w03 cdu 0 0s 0ACr’—.

,.. , ,.. .. . . . . . . .

\

\

..——

cdc18

\ — --b-

_. .- 0

,,/

/’”

/:,/

7’

7’

,><

,;>

,, “‘\

/ ’‘>,.

<“,..~

;.‘.,

. . ~.

Page 27: 1. lN'I'ltol)ll(''I'lo N”

o00

Singu]ar Value ( K m )

xxx

*

I

Page 28: 1. lN'I'ltol)ll(''I'lo N”

Vertical Extent (Km)o e

.!J o

Page 29: 1. lN'I'ltol)ll(''I'lo N”

Uncertainty (Units d’0 / mdcr )

IdL>LA

+“”*0

IWI

1,.>‘9

Page 30: 1. lN'I'ltol)ll(''I'lo N”

cm -

t’- ‘-

K)-

Lf) -.

co ‘

.+

—.

-.

---/-

00

/ /

, ‘F’+

.

/

-.

-–

-.

-.—

.——.

-— _ -.

.._.—

-- _.

/

---/

00

/0

0 ““”””r—.

-.

.—

w-. . . _

..-.

F-4—M. _-

-.. —.-..

- / . ..<–—.._0

/

-.

u

Ch-. -_

..-

.N~-.

.-.

-.

Page 31: 1. lN'I'ltol)ll(''I'lo N”

Height (Km)

00yo0

-nzm

i.)o0

cd00

Page 32: 1. lN'I'ltol)ll(''I'lo N”

“/00,()

600.()

?00,

100.

.!

)’

)-

-20.() -10.0 0 , ( )I

1 0.() 20.0 ‘30.0 40.0I .atituck (dcg)

.,:+-+:7:: ~ --— .—-. —. -— ----- .—- --—- ----- .- .—, — .2. ..—r..::. ”ift:: ‘ ; -., “-_r ‘ ~

O.oc+oo!

5 .0C+05° 1 .0+s06 1 .5C+06 2.oe+-06Iiree lilcctmII Density (e/cmA3)

‘, 9’ :’\‘\ :%.

Page 33: 1. lN'I'ltol)ll(''I'lo N”

‘700.o

600.0

500.()”

400.0

300.()”

?00.0

100.0

-20,() -10.0 0.0 1 ().0 ?0.0 ‘30.0 40.0I .atituc]e (dcg)

O.(M-()() S.oe+os 1 ,0C+06 1 .5C+06 2.0:+06Iircc lllectrcm lknsity (e/cmA3)

,- ,qi.\ .:. , “)

J’J ‘

Page 34: 1. lN'I'ltol)ll(''I'lo N”

Latitude North, degrees

I8 0 8 ~

.– .—L. -_L_

~t3

~cl

~$B

Do c1G! 0

&..&__

~@

z Ir3n

D

@f2❑ cflk—. ___ ___

o~m

c1 Ino

~DQ

o---D-.. . ._

r? ~

n ❑

ElQ n

D

—.El.. .- . . ..-n_

D-J ---1Q

n nn n El

m..m...l ._..__

3 c1 -nn n

B m❑ El

‘./ 1;Ca

ow .Cl_. m..n

00D 0

c1 o

Df3mm

00

. . . . ...1. IDc1 o

t! c1 nc1

Page 35: 1. lN'I'ltol)ll(''I'lo N”

Iklay (m)

. . -

--J ><.9

<

P

tdo0

Qoc1

VIo0

moC2

-400

doo,-, ,

:/

f ’ ”

-Lo1’,’1,, ,

,,1, ,, I \,,,’, 1, \

Page 36: 1. lN'I'ltol)ll(''I'lo N”

(1?)

l,! ’!r, tf ,,, ,1,,.* , ‘—’—’L,—, I ‘ o‘—

- . 00 I

- 002

oo~

Ooti

()()~

. 009

—. 00L

O(X3

Page 37: 1. lN'I'ltol)ll(''I'lo N”

I=

, ,.

Page 38: 1. lN'I'ltol)ll(''I'lo N”

-,

-1-,

-1-1

-1

I I I

Page 39: 1. lN'I'ltol)ll(''I'lo N”

‘aL.

QJc>0

]Icig,ht (Km)

I

--l

I

Page 40: 1. lN'I'ltol)ll(''I'lo N”
Page 41: 1. lN'I'ltol)ll(''I'lo N”

\)i:.,

:“r-