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PPP at low latitudes with ionospheric model exclusively based on single frequency GNSS measurements

Christovam, Ana L.,Prol, Fabricio S.,Jerez, Gabriel O.,Hernández-Pajares, Manuel,Camargo, Paulo O.

Abstract

We acknowledge the IGS, IBGE, INPE, LISN project, Instituto Geográfico Nacional of Argentina, and Technology for GNSS in Support of Air Navigation (INCT GNSS-NavAer), funded by CNPq (465648/2014-2), FAPESP (2017/50115-0) and CAPES (88887.137186/2017-00). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001 and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP: 2021/05285-0). This work was also supported by the INdoor Navigation from CUBesAT Technology (INCUBATE) Project through the Technology Industries of Finland Centennial Foundation and the Jane and Aatos Erkko Foundation (JAES). M. Hernández-Pajares acknowledges support of the EC PITHIA-NRF (H2020-INFRAIA-2018-2020101007599) project to UPC-IonSAT.

Full text

1. In oduc ion In sa elli e-based na iga ion and posi ioning, he ionosphe ic delay is conside ed a c ucial e o sou ce. In low la i udes, o ins ance, he p ecise poin posi ioning (PPP) accu acy is se e ely a ec ed by he high ionosphe ic a iabili y (Vee il e al.,2020). Au onomous ecei e s ha ope a e on wo o mo e equencies can elimina e up o 99.9% o he ionosphe ic delay by using he so-called ionosphe ic ee combina ion. Howe e , single equency ecei e s a e no capable o o m he dual equency combina ions and a e he e o e dependen on he ionosphe ic delay de i ed by ionosphe ic models (Ro i a-Ga cia e al.,2020). Global Ionosphe ic Maps (GIMs) a e p oduc s based on Global Na iga ion Sa elli e Sys em (GNSS) da a as ly used o ep esen he ionosphe e and imp o e single equency posi ioning. Since 1998, he GIMs a e compu ed by he Ionosphe e Associa ed Analysis Cen e s (IAACs) and p o ided by he In e na ional GNSS Se ice (IGS) (He nández-Paja es e al.,2009). Cu en ly, he e a e eigh IAACs ha p o ide GIMs: he Cen e o O bi De e mina ion in Eu ope (CODE), Eu opean Space Agency (ESA), Je P opulsion Labo a o y (JPL), Uni e si a Poli ecnica de Ca alunya (UPC), Chinese Academy o Science, Wuhan Uni e si y (WHU), Na u al Resou ces Canada (NRCan), and Ope a ional Tool o Ionosphe ic Mapping And P edic ion/Deu sches Geodä- isches Fo schungsins i u - Technische Uni e si ä München (OPTIMAP/DGFI-TUM) (Fel ens & Schae ,1998; Goss e al.,2019; Roma-Dollase e al.,2018). Di e en es ima ion echniques ha e been de eloped by each cen e . CODE, ESA, NRCan, and WHU gene a e GIMs using sphe ical ha monic (SH) se ies expansion (Goss Abs ac Single equency use s o he Global Na iga ion Sa elli e Sys em (GNSS) should co ec he ionosphe ic delay o ob ain posi ioning solu ions. A aluable sou ce o ionosphe ic delay co ec ions is he global ionosphe ic models (GIMs) o Ve ical To al Elec on Con en . The accu acy o GIMs is he e o e impo an o imp o e he posi ioning accu acy. One o he main issues ha a ec s he GIM pe o mance, especially a low la i ude egions, is he high sensi i i y o he global posi ioning sys em (GPS) L2 equency o ionosphe ic scin illa ion. As an a emp o o e come his issue, in his wo k, we s udy he capabili ies o using only GPS L1 equency o compu e ionosphe ic co ec ions in o m o egional ionosphe ic maps. The pe o mance o he new ionosphe ic model is e alua ed by means o single equency p ecise poin posi ioning, compa ing he posi ioning esul s agains he co ec ion using dual- equency GPS signals, as well as compa ed o he co ec ions p o ided by GIMs p oduced by he in e na ional GNSS se ice. As a esul , he posi ioning pe o mance using single equency model p esen ed simila accu acy o he dual equency models and, a he same ime, p o ided less obse a ions a ec ed by ionosphe ic scin illa ions. These esul s demons a e he easibili y o using single equency GNSS da a o de elop ionosphe ic models and o imp o e he posi ioning o e low la i udes. Plain Language Summa y P ecise Poin Posi ioning (PPP) is a echnique used o de e mine he posi ion o a ecei e on he Ea h’s su ace using signals om Global Na iga ion Sa elli e Sys ems (GNSS), which a e ansmi ed wi h a minimum o wo equencies. The ionosphe e, an ionized laye in he Ea h’s a mosphe e, can cause e o s in GNSS signals and a ec he PPP accu acy. To imp o e accu acy, an ionosphe ic model can be used o co ec hese e o s. In his s udy, we assess an single equency ionosphe ic model. The esul s show ha i is possible o use single equency GNSS da a o de elop ionosphe ic models ha can imp o e posi ioning accu acy o e low la i udes. CHRISTOVAM ETAL. © 2023. The Au ho s. This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion-NonComme cial-NoDe i s License, which pe mi s use and dis ibu ion in any medium, p o ided he o iginal wo k is p ope ly ci ed, he use is non-comme cial and no modi ica ions o adap a ions a e made. PPP a Low La i udes Wi h Ionosphe ic Model Exclusi ely Based on Single F equency GNSS Measu emen s Ana L. Ch is o am1 , Fab icio S. P ol2, Gab iel O. Je ez1, Manuel He nández-Paja es3 , and Paulo O. Cama go1 1Depa men o Ca og aphy, São Paulo S a e Uni e si y (UNESP), São Paulo, B azil, 2Depa men o Na iga ion and Posi ioning, Finnish Geospa ial Resea ch Ins i u e, Na ional Land Su ey o Finland, Espoo, Finland, 3Depa men o Ma hema ics, UPC-IonSAT and UPC-IEEC Resea ch G oups, Uni e si a Poli ècnica de Ca alunya (UPC), Ba celona, Spain Key Poin s: • Single equency ionosphe ic models allows o ob ain simila p ecise poin posi ioning accu acy han dual equency ionosphe ic models • Single equency Global Na iga ion Sa elli e Sys em measu emen s p o ide mo e IPPs han dual equency du ing ionosphe ic scin illa ion e en s Co espondence o: A. L. Ch is o am, [email p o ec ed] Ci a ion: Ch is o am, A. L., P ol, F. S., Je ez, G. O., He nández-Paja es, M., & Cama go, P.O. (2023). PPP a low la i udes wi h ionosphe ic model exclusi ely based on single equency GNSS measu emen s. Space Wea he , 21, e2023SW003513. h ps://doi.o g/10.1029/2023SW003513 Recei ed 30 MAR 2023 Accep ed 4 JUL 2023 Au ho Con ibu ions: Concep ualiza ion: Fab icio S. P ol Supe ision: Fab icio S. P ol, Manuel He nández-Paja es, Paulo O. Cama go W i ing – e iew & edi ing: Fab icio S. P ol, Gab iel O. Je ez, Manuel He nández-Paja es 10.1029/2023SW003513 RESEARCH ARTICLE 1 o 13 Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 2 o 13 e al.,2020; Li e al.,2015; Roma-Dollase e al.,2018). The echnique adop ed by JPL is bi-cubic splines whe eas UPC adop ed he omog aphic app oach (He nández-Paja es e al.,1999; Mannucci e al.,1998). The OPTI- MAP use polynomial B-spline o he ionosphe ic modeling (Goss e al.,2020). Common o all p oduc s is he da a dis ibu ion p o ided in IONosphe e map EXchange (IONEX) o ma wi h a spa ial esolu ion 5°×2.5° in longi ude and la i ude, espec i ely, and wi h a empo al esolu ion om 15min o 2h (He nández-Paja es e al.,2017; Schae e al.,1998). The GIMs p o ide To al Elec on Con en (TEC) om hund eds o wo ld- wide pe manen GNSS ecei e s, no mally compu ed om dual equency measu emen s (He nández-Paja es e al.,1999; Mannucci e al.,1998; Schae e al.,1996). Ca ie phase ambigui ies and DCBs a e essen ial pa am- e e s es ima ed by IAACs. The p ocess o es ima ing DCBs and ambigui ies is known as he TEC calib a ion me hod, which can be pe o med ei he ne wo k-wide, such as in he case o GIMs, o wi h indi idual GNSS s a ions (Ci aolo e al.,2007; P ol, Cama go, e al.,2018; Shaikh,2023). The pe o mance o GIMs gene a ed by IGS is consis en wi hin he IAACs (He nández-Paja es e al.,2009), bu usually p o ides lowe pe o mance in low la i ude egions, especially du ing ionosphe ic scin illa ion e en s. P ol, Cama go, e al.(2018), o ins ance, e alua e he pe o mance o TEC calib a ion p ocedu es by analyz- ing he imp o emen in single equency PPP conside ing se e al la i udes. The au ho s ound a wo se PPP pe o mance in low la i udes, mainly due o he ionosphe ic a iabili y associa ed wi h he Equa o ial Ioniza ion Anomaly (EIA) and ionosphe ic scin illa ion. Ro i a-Ga cia e al.(2020) addi ionally assess he quali y o he ionosphe ic models by GNSS posi ioning and showed la ge posi ioning e o s in ecei e s loca ed a la i udes close o he geomagne ic equa o . One o he main challenges in ionosphe ic modeling a low la i udes is he p esence o ionosphe ic i egula i- ies ha can esul in he lack o con inuous GNSS ope a ion, especially in global posi ioning sys em (GPS) L2 equency. The in luence o he ionosphe e is di e en o each equency since he ionosphe e is a dispe si e medium, whe e highe equencies a e less a ec ed when compa ed wi h lowe equencies. Delay e al.(2015) show ha , du ing he p esence o ionosphe ic i egula i ies, he p obabili y o in e up ed acking was la ge on GPS L2 and L5 han on he L1 signal equency. Simila ly, Mo aes e al.(2017) also p esen ha du ing he ionosphe ic i egula i ies' occu ence, he GPS L1 signal is less sensi i e o loss o locks han he L2 equency. Gi en ha GPS L1 pe o ms be e han GPS L2 equency, i is easonable o in es iga e he possibili y o de elop ionosphe ic models exclusi ely based on GPS L1 equencies. In his ega d, Ch is o am e al.(2023) p esen a egional ionosphe ic model de eloped o he low la i ude egion only using single- equency da a. The main disad an age is ha he single equency TEC measu emen s is highly dependen on he code noise. Ne e heless, Ch is o am e al.(2023) ha e shown ha models exclusi ely based on GPS L1 can be used o de ec and analyze equa o ial plasma bubbles, despi e o he code noise and mul ipa h, which can be s ongly mi iga ed o single- equency ionosphe ic moni o ing (He nández-Paja es e al.,2018). Buil on his p e ious wo k, we in end he e o e i y whe he models exclusi ely based on GPS L1 equencies can also be used o imp o e he single- equency PPP pe o mance. The main goal is o e i y i he single equency PPP based on single equency ionosphe ic model can p o ide compa able le el o hose ionosphe ic models ob ained by dual equency GNSS measu emen s. In his in end, he PPP pe o mance ob ained wi h he model de eloped by Ch is o am e al.(2023) is compa ed wi h he single equency PPP esul s aided by o he consolida ed models. Sec ion2 p esen s an o e iew o he me hod de eloped by Ch is o am e al.(2023) based on single equency da a and some modi ica ions o dual equency da a. In addi ion, Sec ion2 also p esen s he con igu a ions used o un he single equency PPP solu ions. Sec ion3 p esen s an ini ial alida ion o TEC alues ob ained by he single and dual equency models. I also includes a b ie discussion abou he impac o ionosphe ic a iabili y on GPS equencies, as well as an assessmen o single equency PPP based on he single equency ionosphe ic model. Sec ion4 p esen s he conclusions. 2. Me hod Sec ion2.1 p esen s an o e iew o he ionosphe ic model p oposed by Ch is o am e al.(2023) exclusi ely based on single equency da a, as well as he adap a ions equi ed o un he same model using dual equency da a. The dual equency model is p esen ed he e o ha e a base o compa ison pu poses. Addi ionally, Sec ion2.2 shows he con igu a ion used o un he single equency PPP solu ions. The PPP algo i hm is used as main indi- ca o o e alua e he p oposed model. 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 3 o 13 2.1. Modeling Ch is o am e al.(2023) de eloped a ionosphe ic egional model o calib a e GNSS single equency measu emen s and de i e ionosphe ic maps showing plasma bubble in one o mos challenging condi ion, he B azilian egion. The au ho s ha e shown, o he i s ime, ha i is possible o de ec ionosphe ic bubbles using single equency GNSS da a. In addi ion, he au ho s also p esen a compa ison o he STEC alues ob ained wi h single and dual equency. The esul s showed ha single equency STEC da a ag ee wi h dual equency da a, wi h di e ences a ying be ween ±2.5 TECU. This di e ence co esponds o he o e all noise le el o code measu emen s, since he single equency STEC alues a e compu ed based on combina ion be ween he obse ables called Code-Minus-Ca ie (CMC). In his sec ion we p esen an o e iew o he ionosphe ic model p oposed by Ch is o am e al.(2023) along wi h he necessa y adap a ions o u ilize dual- equency da a wi h he same model. The ma hema ical o mula ion o ex ac TEC da a using GNSS obse a ions was de eloped in h ee s ages. In he i s s ep, he con e sion o GNSS obse a ions o non-calib a ed TEC da a was pe o med. The second e e s o ambigui y es ima ion by SH modeling. The hi d s ep is ca ied ou o es ima e he absolu e (i.e., calib a ed) TEC alues and ca y ou a egional in e pola ion. The main di e ence be ween he egional modeling using single o dual equency is ela ed o GNSS measu e- men s combina ions. TEC da a es ima ed using dual- equency GNSS measu emen s is pe o med by he geome- y ee combina ion 𝐴𝐴𝐴𝐴 1−𝐴𝐴2 . I elimina es all he e ms independen on he equencies, such as he oposphe ic delay, clocks, and geome ic dis ance. When using single equency, he combina ion be ween he obse ables 𝐴𝐴𝐴𝐴 1−𝐿𝐿1 named CMC is used since i elimina es all geome y-dependen componen s. The combina ions used o compu e TEC using single ( 𝐴𝐴TECSF ) and dual equency ( 𝐴𝐴TECDF ), espec i ely, can be summa ize as ollows: TECSF =𝑘𝑘×(𝑃𝑃1−𝐿𝐿1𝜆𝜆1+𝐵𝐵SF) (1) TECDF =𝐹𝐹×(𝜆𝜆2𝐿𝐿1−𝜆𝜆2𝐿𝐿2+𝐵𝐵DF) (2) whe e 𝐴𝐴𝐴𝐴 𝑖𝑖 and 𝐴𝐴𝐴𝐴 𝑖𝑖 a e he GNSS pseudo ange and ca ie phase, espec i ely; 𝐴𝐴𝐴𝐴 𝑖𝑖 is he wa eleng h in me e s; 𝐴𝐴𝐴𝐴 SF and 𝐴𝐴𝐴𝐴 DF bias e m ha ep esen s he ambigui y e m, and ins umen al delay e m a ec ed by he mul ipa h and he mal noise and he esidual e m o single and dual equency espec i ely. The 𝐴𝐴𝐴𝐴 and 𝐴𝐴𝐴𝐴 e ms con e me e s o delay o he elec ons/m 2 uni s, being 𝐴𝐴𝐴𝐴 = ( 𝑓𝑓𝐿𝐿 12 ∕(2 × 40.3) ) and 𝐴𝐴𝐴𝐴 = ( 𝑓𝑓2 𝐿𝐿1 𝑓𝑓2 𝐿𝐿2 ∕40.3× ( 𝑓𝑓2 𝐿𝐿1 −𝑓𝑓2 𝐿𝐿2)) , wi h 𝐴𝐴𝐴𝐴 𝐿𝐿1 and 𝐴𝐴𝐴𝐴 𝐿𝐿2 ep esen ing he equencies o L1 and L2, espec i ely. The non-calib a ed TEC ep esen s he combina ion be ween he calib a ed TEC, he ambigui y e m, and ins u- men al delay e m a ec ed by he mul ipa h and he mal noise. The ambigui y and ins umen al delay can be sol ed oge he as a unique bias e m ( 𝐴𝐴𝐴𝐴 SF ) o single equency and 𝐴𝐴𝐴𝐴 DF o dual equency. This e m is sol ed in he second s ep using a SH expansion model. The SH model adop ed was he same de eloped by Schae (1999); howe e , 24h o GNSS da a in local ime (LT) is used. The model ob ains enough spa ial in o ma ion o accu- a ely es ima e he coe icien s o sphe ical ha monics wi h a high o de o ha monics. Then, ge s he necessa y co e age o es ima e he SH coe icien s wi h a ypical ha monic o de o 15°. The use o 24h o da a does no in ol e huge p oblems in he es ima ion, since mos o he GNSS s a ions used in he model a e de ined o e he B azilian egion, ha is, he LT and UT a e e y simila among he s a ions, jus implying a sligh smoo hing e ec . I is ele an o men ion ha cycle slips and g oss e o s in he ca ie phase obse a ions mus be elimi- na ed be o e using 𝐴𝐴TECSF o 𝐴𝐴TECDF in he SH model. Fo his pu pose, we used he non-calib a ed TEC alues. The non-calib a ed TEC alues a e compa ed epoch-by-epoch, and he disc epancy be ween he epochs should no be highe han he adop ed h eshold (4 TEC Uni s (TECU), being 1 TECU= 𝐴𝐴1016 el/m 2.) The ambigui y and ins umen al delay e m was compu ed wi h he ollowing equa ion o single and dual equencies, espec i ely: MF × TEC SF = 𝑛𝑛max ∑ 𝑛𝑛=0 𝑛𝑛 ∑ 𝑚𝑚=0  𝑃𝑃𝑛𝑛𝑚𝑚(𝑠𝑠𝑠𝑠𝑛𝑛𝑠𝑠𝑖𝑖𝑖𝑖 𝑚𝑚)[𝐴𝐴𝑛𝑛𝑚𝑚𝑐𝑐𝑐𝑐𝑠𝑠(𝑚𝑚𝑚𝑚𝑖𝑖𝑖𝑖 𝑠𝑠)+𝐵𝐵𝑛𝑛𝑚𝑚 sin(𝑚𝑚𝑚𝑚𝑖𝑖𝑖𝑖 𝑠𝑠 )] (3) MF × TEC DF = 𝑛𝑛 max ∑ 𝑛𝑛=0 𝑛𝑛 ∑ 𝑚𝑚=0  𝑃𝑃𝑛𝑛𝑚𝑚(𝑠𝑠𝑠𝑠𝑛𝑛𝑠𝑠𝑖𝑖𝑖𝑖 𝑚𝑚)[𝐴𝐴𝑛𝑛𝑚𝑚𝑐𝑐𝑐𝑐𝑠𝑠(𝑚𝑚𝑚𝑚𝑖𝑖𝑖𝑖 𝑠𝑠)+𝐵𝐵𝑛𝑛𝑚𝑚𝑠𝑠𝑖𝑖(𝑚𝑚𝑚𝑚𝑖𝑖𝑖𝑖 𝑠𝑠 )] (4) whe e 𝐴𝐴𝐴𝐴 𝑖𝑖𝑖𝑖 𝑚𝑚 is he la i ude o he ionosphe ic pie ce poin (IPP), 𝐴𝐴𝐴𝐴 𝑖𝑖𝑖𝑖 𝑠𝑠 is he longi ude o IPP in e ms o LT, 𝐴𝐴𝐴𝐴 max is he maximum deg ee o expansion, 𝐴𝐴𝐴𝐴 𝑛𝑛𝑛𝑛 and 𝐴𝐴𝐴𝐴 𝑛𝑛𝑛𝑛 a e he ionosphe e model coe icien s, 𝐴𝐴 𝑃𝑃𝑛𝑛𝑛𝑛 a e he no malized Legend e polynomials o deg ee 𝐴𝐴𝐴𝐴 and o de 𝐴𝐴𝐴𝐴 , and 𝐴𝐴MF is he s anda d mapping unc ion (Schae ,1999). The 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 4 o 13 numbe o pa ame e s is calcula ed by ( 𝐴𝐴𝐴𝐴 max  +1) 2, whe e 𝐴𝐴𝐴𝐴 𝑛𝑛𝑛𝑛 , 𝐴𝐴𝐴𝐴 𝑛𝑛𝑛𝑛 , 𝐴𝐴𝐴𝐴 DF , and 𝐴𝐴𝐴𝐴 SF a e unknown pa ame e s o be es ima ed by he leas squa e me hod. The hi d s ep is ca ied ou o es ima e he absolu e (i.e., calib a ed) TEC alues, which can be di ec ly calcu- la ed a e he ambigui y and ins umen al delay e ms a e calcula ed o all con inuous a cs. The hi d s ep also pe o m a egional in e pola ion in he B azilian egion. The spa ial in e pola ion o he calib a ed Ve ical To al Elec on Con en (VTEC) alues is ca ied ou based on he in e se o he dis ance. I is conside ed a g id o e he B azilian egion wi h a ho izon al esolu ion o 1° in la i ude and 1° in longi ude, wi h an ionosphe ic shell heigh o 450km in al i ude and empo al esolu ion o 6min. The shell heigh adop ed is he same as ha adop ed by he CODG and UQRG models, which can be conside ed app oxima ely he median heigh o elec on densi y o a ypical day ime p o ile (Mannucci e al.,1998). The model is execu ed using da a om app oxima ely 200 g ound-based ecei e s om he con inuous ope a - ing GNSS s a ions h oughou Ame ica, especially o e he B azilian egion. The da a om RBMC (B azilian Ne wo k o Con inuous GNSS Moni o ing), IGS, GNSS Na Ae (De Paula e al.,2022), LISN (Low la i ude Ionosphe ic Senso Ne wo k), and RAMSAC (Red A gen ina de Moni o eo Sa eli al Con inuo) a e used. The loca ion o he GNSS s a ions used in egional model a e p esen ed in Figu e1a. 2.2. Posi ioning Se ings The GNSS PPP wi h single equency da a is an impo an s a egy o e alua e he ionosphe ic models (Ro i a-Ga cia e al.,2020), complemen ing he di ec assessmen in he ionosphe ic domain (He nández-Paja es e al.,2017). The main poin is o e alua e he quali y o he ionosphe ic delay based on di ec co ec ions o e ca ie phase and pseu- do ange measu emen s. In his wo k, he e alua ion is pe o med o assess he quali y o he de eloped egional iono- sphe ic model when using single equency TEC da a and compa e i wi h he esul s ob ained by he same model, when using dual equency GNSS da a. The mos usual ionosphe ic p oduc s o GNSS applica ions, ha is, GIMs p o ided by IGS, UQRG, and CODG, a e also included in he posi ioning analysis. The UQRG and CODG p oduc s a e selec ed because hey ha e shown some o he bes esul s in e ms o GNSS posi ioning (Je ez e al.,2023). Once he single and dual equency TEC alues a e ob ained by he p oposed me hod, VTEC g ids a e expo ed in IONEX o ma wi h he p e iously men ioned esolu ion (1°×1° in la i ude and longi ude, upda ed e e y 6min). To analyze he pe o mance o he ionosphe ic models, as applied o he GNSS posi ioning, he RTKLib is used (Takasu & Yasuda,2009). Single equency PPP in kinema ic posi ioning me hod is chosen o e alua e he ionosphe ic models, as he kinema ic mode di ec ly applies he ionosphe ic delay o co ec he GNSS obse - a ions epoch by epoch. Table1 summa ized he PPP se ings. Fo he analysis, 37 s a ions om RBMC a e used (Figu e1b). I is impo an o men ion ha he s a ions used o he alida ion we e chosen o co e se e al la i udes in he B azilian egion. The days chosen a e DOYs 3–9, as well as 21–31 o 2014. These days a e selec ed because hey ha e clea e idence o plasma bubbles occu ence Figu e 1. Loca ion o GNSS s a ions (a) o egional model (b) o he posi ioning assessmen . The dashed line ep esen s he Magne ic Equa o . 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 5 o 13 o e he B azilian egion. The main analysis is pe o med o e alua e he imp o emen ha he TEC ob ained om he p oposed model o e s o PPP du ing he p esence o plasma bubbles. In he ollowing sec ion, we show he PPP esul s when applying he p oposed me hod. Th ee pa ame e s we e used o e alua e he h ee-dimensional (3-D) PPP e o : mean e o , s anda d de ia ion (STD), and he oo mean-squa e e o (RMS) o he es i- ma ions. The main 3-D e o is compu ed by aking he di e ences be ween he coo dina es ob ained in he PPP p ocessing and he e e ence coo dina es. The e e ence coo dina es we e ob ained om inal solu ion o he SIs ema de Re e encia Géocen ico pa a las Ame - icas (SIRGAS) a epoch 2014. 3. Resul s Sec ion3.1 p esen s an ini ial alida ion o TEC alues ob ained by he single and dual equency models. Sec ion3.2 p esen s b ie discussion abou ionosphe ic a iabili y impac on GPS equencies. Sec ion3.3 shows he single equency PPP assessmen based on single equency ionosphe ic model. 3.1. VTEC Plasma Bubbles Maps Wi h Analyzed Models In o de o pe o m an ini ial alida ion, a isual compa ison o he ionosphe ic models is p esen ed in Figu e2. This example shows snapsho VTEC maps ob ained om ionosphe ic models o he B azilian egion in DOY 003 o 2014 a 02h UT. (a) and (b) panels shows he maps a ailable om he IGS (CODG and UQRG) whe eas (c) and (d) panel p esen he maps ob ained by he p oposed me hods. Due o he di e en spa ial esolu ion, he maps p o ided by he p oposed me hod a e qui e di e en om he maps a ailable om IGS In he maps a ailable om IGS, he p esence o he no he n and sou he n c es o he EIA a e clea ly obse ed, whe e hese wo egions a e cha ac e ized by highe elec on densi y alues. Fo he maps ob ained wi h he p oposed me hods, i is also possible o see he c es s o EIA, howe e wi h se e al i egula i ies in he egion. In addi ion, wo well-de ined VTEC deple ion (plasma bubbles) can be seen aligned wi h he geomagne ic equa o . No ice ha he main di e ence be ween he ionosphe ic maps is he abili y o de ec plasma bubbles. This di e ence can be explained by he spa ial and empo al esolu ion di e ences. CODG and UQRG p oduce iono- sphe ic maps wi h a spa ial esolu ion o 2.5° in la i ude and 5° in longi ude and a empo al esolu ion o 2h and 15min, espec i ely. The g id size used by he IGS models a e la ge han he scale size o he plasma bubbles de ec ed by g ound-based obse a ions. Indeed, he scale size o he plasma bubbles a e in le el o 100m o a ew kms (Bha acha yya,2022). 3.2. Ionosphe ic Va iabili y on GPS F equencies Du ing s ong ionosphe ic e en s, he GPS L1 signal is less sensi i e o loss o lock han using dual equency da a (GPS L1 and L2). The e o e, in egions suscep ible o s ong ionosphe ic e en s, mo e TEC da a a e expec ed o be obse ed wi h single equency da a. In such case, single equency da a can he e o e imp o e he imaging o ionosphe ic bubbles due o he p o ided be e da a co e age. One way o analyze his poin is coun ing he numbe o IPPs obse ed by dual and single equency da a. To pe o m his compa ison, he B azilian egion is di ided in o 4 sub- egions (quad an s). Figu e3 shows a compa a i e example o VTEC maps and spa ial dis ibu ion o IPPs be ween single and dual equency da a. In his expe imen al analysis, he o al numbe o IPPs coun ed o single equency da a was 27,970, whe eas 27,008 IPPs we e obse ed o dual equency da a. I may be no iced ha he e a e di e en IPPs densi ies o each quad an . A summa y o he numbe o IPPs o each quad an (Q) wi h single and dual equency da a is lis ed in Table2. Fo he pe iod conside ed, excep o a ew ins ances a e he plasma bubble passage (a ound 02h UT), he numbe o IPPs o single equency is conside ably highe han hose o dual equency, hese alues a e highligh ed (bold) in Table2. The lowe numbe o IPPs occu s because, as p e iously men ioned, he L2 equency is mo e suscep ible o ionosphe ic e ec s, which p oduces GNSS loss o lock and eini ializa ions o he TEC es ima ion. The main di e ence o he IPP numbe s be ween he I em PPP se ings Fil e ype Combined solu ions ob ained by o wa d and backwa d il e s Ele a ion mask Cu o angle 10° Ea h ides co ec ion Ea h ides co ec ions T oposphe e co ec ion Es ima ion o oposphe ic delays du ing PPP Sa elli e epheme is/clock P ecise epheme ides (sp3) and sa elli e clock co ec ions (clk_5s) acqui ed om IGS p oduc s Na iga ion sys em Global Posi ioning Sys em (GPS) cons ella ion Recei e /sa elli e an enna Co ec ion o he phase cen e a ia ion o bo h ansmi e and ecei e an ennas PhWindup Phase wind up co ec ions Ambigui y No s a egy o ambigui y solu ion, because me ic accu acy is expec ed Ou age o ese ambigui y/slip h eshould 5/0.05m DCB da a Co ec ions o di e en ial ins umen al bias be ween he ci il and p ecise codes (CI-P1) Table 1 PPP Se ings 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 6 o 13 L1 and L1L2 is, he e o e, he loss o lock o he L2 measu emen s. As expec ed, be e co e age o IPPs is ob ained wi h single equency TEC da a when compa ed wi h dual equency. 3.3. Assessmen by Single F equency PPP In a p elimina y e alua ion, i is analyzed he esul s o a single day o show de ails o he PPP accu acy when applying he TEC p o ided by di e en models o accoun o he ionosphe ic delay. Figu e4 shows a compa - ison be ween he 3-D posi ioning e o s h oughou he day oge he wi h a co esponden keog am o Cachoe- i a Paulis a (CHPI) s a ion (22.7°S, 45.0°W), and he ionosphe ic scin illa ion S4 index a he same la i udinal sec o , loca ed in he sou he n c es o he EIA. In o de o apply he keog am echnique, i is equi ed o ix he la i ude, and hen s ack he wes -eas slices o he econs uc ed VTEC maps da a o o m one image (P ol, He nández-Paja es, e al.,2018; Sil a e al.,2019). In his case, hey we e gene a ed wi h he de eloped single equency ionosphe ic model. Acco ding o he daily beha io , he ini ial (00–04h UT) and inal (22–24h TU) hou s showed he highes 3D e o alues, which a e caused by deple ions in he ionosphe ic plasma densi y, as seen in he keog ams. This beha io occu s due o ionosphe ic plasma ins abili y (Rayleigh-Taylo ins abili y), which igge s plasma deple ions (bubbles) a e he sunse (Takahashi e al.,2015). In he keog ams, we can see he gene al plasma bubble mo ion p og essing om wes o eas , ep esen ed by a il ed da k blue egion ela i e o he empo al axis o he igu e, well connec ed wi h he highes PPP e o s in he ini ial and inal hou s o he day. A he same ime, i can be seen he highe alues o ionosphe ic scin illa ion index (S4). This esul con i ms he close ela ionship be ween he ionosphe ic plasma bubbles occu ences and he ionosphe ic scin illa ion, causing high e o s in posi ioning. Unde s ong ionosphe ic scin illa ions caused by he ionosphe ic plasma bubbles, he GNSS ecei e acking loop pe o mance is deg aded, causing low posi ioning accu acy. I is impo an o poin ou ha he inc eased posi ioning e o s du ing he 00–04h UT a e no associa ed wi h he con e gence o he single equency kinema ic PPP since we used combined solu ions ob ained by o wa d and backwa d il e ing. Figu e 2. Example o ionosphe ic models o he B azilian egion, o DOY 003 o 2014 a 02h UT. (a) and (b) panels co esponds o CODG and UQRG (c) and (d) co esponds o models ob ained wi h L1 and L1L2. 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 7 o 13 A e unde s anding he co espondence be ween he plasma bubble keog ams and PPP pe o mance o one s a ion, six ep esen a i e s a ions we e chosen o e alua e di e en la i udinal egions o he ionosphe e. The selec ed s a ions we e BRAZ (15.9°S, 47.9°W); CHPI (22.7°S, 45.0°W); BOAV (2.8°N, 60.7°W); PBJP (07.1°S, 34.9°W); POAL (30.1°S, 51.1°W) and SMAR (29.7°S, 53.7°W). Figu e5 p esen s he 3D e o calcula ed o each epoch, and o each model, in he ep esen a i e s a ions. Again, la ge posi ioning e o s a e no iced in he ini ial and inal hou s o he day, when he ionosphe ic i egula i ies associa ed o equa o ial plasma bubbles impac ed he GNSS obse a ions mo e e ec i ely. I is impo an o highligh ha he magni udes o 3D e o s a e conside ed high o PPP, eaching up o 3m. Conside ing he en i e day o da a (24h ), he mean e o , STD, and RMS o each model a e summa ized in Table3. Acco ding o he s a is ics, he UQRG p esen ed a be e pe o mance compa ed o he o he s model in e ms o mean and RMS, whe eas he p oposed model using dual equency p esen ed a be e pe o mance in e ms o STD. When we compa e he s a is ics esul s be ween he models, he di e ence is in he decime e le el, while he e o is in he me e le el. The e o e, i is possible o conclude ha he p oposed models showed esul s compa ible wi h he models a ailable om he IGS, including he single equency model. As he main goal o he p oposed model is o p o ide a easible da a sou ce o map he plasma bubbles, he nex e alua ion is ca ied ou only in pe iods o ionosphe ic plasma bubbles occu ence. In his ega d, Figu e6 shows he 3D e o ob ained in PPP and calcula ed du ing he pe iods wi h plasma bubble occu ences (00–06h UT). As a esul , s a ions BRAZ, PBJP, CHPI, and BOAV, Figu e 3. Compa a i e example he Ve ical To al Elec on Con en maps and spa ial dis ibu ion o IPPS o e he B azilian egion in DOY 003 o 2014 a 1.2h UT be ween single and dual equency. The dashed line indica es he geomagne ic equa o . The con inuous line ep esen s he di ision o he map in o quad an s. (a) and (b) panels p esen maps wi h single equency (L1); (c) and (d) panels p esen s maps wi h dual equency (L1 and L2). Time (UT) F equencies 1°Q2°Q3°Q4°Q 1.0h L1 6,715 6,746 8,583 4,388 L1L2 6,495 6,548 8,841 4,381 1.2h L1 7,517 7,123 8,745 4,585 L1L2 6,824 6,992 8,608 4,584 1.4h L1 7,830 7,441 8,855 4,850 L1L2 7,129 7,035 8,843 4,789 1.6h L1 7,673 7,649 8,727 5,206 L1L2 7,178 7,357 8,651 5,201 1.8h L1 7,456 7,812 8,672 5,789 L1L2 7,499 7,383 8,258 5,595 2.0h L1 7,735 7,935 8,750 5,560 L1L2 7,747 7,825 8,788 5,923 Table 2 Numbe o IPPs Pe Quad an Du ing 1 h Pe iod O e B azilian Region o DOY 004 o 2014 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 8 o 13 Figu e 4. (a) Keog am o he Ve ical To al Elec on Con en alues o he la i udinal sec ion o 22.7°S (CHPI s a ion) in e ms o longi ude and hou s; (b) 3D e o o he same GNSS s a ion and (c) S4.index a la i udinal sec ion o (23.2°S) o DOY003 o 2014. Figu e 5. 3D e o in me e s o DOY 003 o 2014. 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License Space Wea he CHRISTOVAM ETAL. 10.1029/2023SW003513 9 o 13 loca ed in egions wi h high ionosphe ic ac i i y, p esen ed he 3D e o a ound 15m whe eas he e o is a ound 5 and 10m in POAL and SMAR s a ions, espec i ely. This di e ence among he s a ions occu s because BRAZ, PBJP, CHPI, and BRAZ a e in he c es s o he EIA, whe e ionosphe ic scin illa ions a e mo e e ec i e, while POAL and SMAR a e close o he mid-la i ude egion. The co esponding mean, STD, and RMS o he 3D e o s in each model a e summa ized in Table4. Analyzing he s a is ics, he model p oposed wi h single equency p esen ed he bes pe o mance, ollowed by he p oposed model wi h dual equency and UQRG. In his case, CODG p esen ed he wo s pe o mance. In addi ion, he p oposed model was also e alua ed du ing a day cha ac e - ized by low ionosphe ic ac i i y DOY 171. Figu e7 p esen s he 3D e o ob ained in PPP o 24h o da a o non-dis u bed day. I can be seen ha o all ep esen a i e s a ions, he 3D e o did no exceed 5m. Addi ionally, a simila beha io be ween he models can be obse ed. Table5 summa- ize he co esponding mean, STD and RSM alues o 3D e o s o each model. Acco ding o he s a is ics, he p oposed models using single and dual equency p esen ed a simila mean, STD and RMS alues. The CODG p esen ed a be e pe o mance in e ms o mean and RMS, whe eas, in his case, he URQG p esen ed he wo s pe o mance. I is impo an o poin ou ha he di e ence is negligible. The e o e, i can be in e ed ha he p oposed models demons a ed esul s consis en wi h he models p o ided by IGS. To p o ide an o e iew o he model pe o mance conside ing se e al days and s a ions, we also es ima ed he s a is ics using he 37 s a ions selec ed du ing he dis u bed days. The esul s a e shown in Figu e8. Compa - ing he s a is ical esul s be ween he esul s ob ained wi h 24h o da a and only he pe iod o plasma bubble occu ences, i is no ed ha , in he pe iod ha bubbles a e occu ing, he esul s a e mo e dispe se, especially in e ms o RMS since he la ges e o s occu in his pe iod. The esul s using 24h o da a a e smoo hed ou by he pe iod when no ionosphe ic i egula i ies a e p esen . In addi ion, conside ing he la i udinal dis ibu- ion, we can no e a pa e n. Fo he s a ions nea he la i ude o 15°S, close o he Sou he n EIA c es , he e o s among he s a ions end o con e ge o a common alue. This beha io e eals ha he models p esen ed a Model Mean (m) STD (m) RMS (m) CODG 1.56 1.91 2.47 UQRG 1.55 1.87 2.44 L1 1.76 2.06 2.72 L1L2 1.70 1.82 2.49 Table 3 Mean, S anda d De ia ion and Roo Mean Squa e 3D E o Du ing 24h o Da a, Conside ing Each Model o DOY003, 2014 Figu e 6. 3D e o in me e s du ing plasma bubble occu ence (00–06h UT) o DOY 003 o 2014. 15427390, 2023, 8, Downloaded om h ps://agupubs.onlinelib a y.wiley.com/doi/10.1029/2023SW003513 by Csic O ganización Cen al Om (O icialia Mayo ) (U ici), Wiley Online Lib a y on [27/02/2024]. See he Te ms and Condi ions (h ps://onlinelib a y.wiley.com/ e ms-and-condi ions) on Wiley Online Lib a y o ules o use; OA a icles a e go e ned by he applicable C ea i e Commons License