Sensitivity of GNSS tropospheric gradients to processing options
An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and...
        Saved in:
      
    
          | Published in | Annales geophysicae (1988) Vol. 37; no. 3; pp. 429 - 446 | 
|---|---|
| Main Authors | , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Katlenburg-Lindau
          Copernicus GmbH
    
        18.06.2019
     Copernicus Publications  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1432-0576 0992-7689 1432-0576  | 
| DOI | 10.5194/angeo-37-429-2019 | 
Cover
| Abstract | An analysis of processing settings impacts on estimated
tropospheric gradients is presented. The study is based on the benchmark
data set collected within the COST GNSS4SWEC action with observations from
430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013.
Tropospheric gradients were estimated in eight different variants of GNSS
data processing using precise point positioning (PPP) with the G-Nut/Tefnut
software. The impacts of the gradient mapping function, elevation cut-off
angle, GNSS constellation, observation elevation-dependent weighting and
real-time versus post-processing mode were assessed by comparing the
variants by each to other and by evaluating them with respect to
tropospheric gradients derived from two numerical weather models (NWMs).
Tropospheric gradients estimated in post-processing GNSS solutions using
final products were in good agreement with NWM outputs. The quality of
high-resolution gradients estimated in (near-)real-time PPP analysis still
remains a challenging task due to the quality of the real-time orbit and clock
corrections. Comparisons of GNSS and NWM gradients suggest the 3∘
elevation angle cut-off and GPS+GLONASS constellation for obtaining
optimal gradient estimates provided precise models for antenna-phase centre
offsets and variations, and tropospheric mapping functions are applied for
low-elevation observations. Finally, systematic errors can affect the
gradient components solely due to the use of different gradient mapping
functions, and still depending on observation elevation-dependent weighting.
A latitudinal tilting of the troposphere in a global scale causes a
systematic difference of up to 0.3 mm in the north-gradient component, while
large local gradients, usually pointing in a direction of increasing
humidity, can cause differences of up to 1.0 mm (or even more in extreme cases)
in any component depending on the actual direction of the gradient. Although
the Bar-Sever gradient mapping function provided slightly better results in
some aspects, it is not possible to give any strong recommendation on the
gradient mapping function selection. | 
    
|---|---|
| AbstractList | An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013. Tropospheric gradients were estimated in eight different variants of GNSS data processing using precise point positioning (PPP) with the G-Nut/Tefnut software. The impacts of the gradient mapping function, elevation cut-off angle, GNSS constellation, observation elevation-dependent weighting and real-time versus post-processing mode were assessed by comparing the variants by each to other and by evaluating them with respect to tropospheric gradients derived from two numerical weather models (NWMs). Tropospheric gradients estimated in post-processing GNSS solutions using final products were in good agreement with NWM outputs. The quality of high-resolution gradients estimated in (near-)real-time PPP analysis still remains a challenging task due to the quality of the real-time orbit and clock corrections. Comparisons of GNSS and NWM gradients suggest the 3 ∘ elevation angle cut-off and GPS + GLONASS constellation for obtaining optimal gradient estimates provided precise models for antenna-phase centre offsets and variations, and tropospheric mapping functions are applied for low-elevation observations. Finally, systematic errors can affect the gradient components solely due to the use of different gradient mapping functions, and still depending on observation elevation-dependent weighting. A latitudinal tilting of the troposphere in a global scale causes a systematic difference of up to 0.3 mm in the north-gradient component, while large local gradients, usually pointing in a direction of increasing humidity, can cause differences of up to 1.0 mm (or even more in extreme cases) in any component depending on the actual direction of the gradient. Although the Bar-Sever gradient mapping function provided slightly better results in some aspects, it is not possible to give any strong recommendation on the gradient mapping function selection. An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013. Tropospheric gradients were estimated in eight different variants of GNSS data processing using precise point positioning (PPP) with the G-Nut/Tefnut software. The impacts of the gradient mapping function, elevation cut-off angle, GNSS constellation, observation elevation-dependent weighting and real-time versus post-processing mode were assessed by comparing the variants by each to other and by evaluating them with respect to tropospheric gradients derived from two numerical weather models (NWMs). Tropospheric gradients estimated in post-processing GNSS solutions using final products were in good agreement with NWM outputs. The quality of high-resolution gradients estimated in (near-)real-time PPP analysis still remains a challenging task due to the quality of the real-time orbit and clock corrections. Comparisons of GNSS and NWM gradients suggest the 3∘ elevation angle cut-off and GPS+GLONASS constellation for obtaining optimal gradient estimates provided precise models for antenna-phase centre offsets and variations, and tropospheric mapping functions are applied for low-elevation observations. Finally, systematic errors can affect the gradient components solely due to the use of different gradient mapping functions, and still depending on observation elevation-dependent weighting. A latitudinal tilting of the troposphere in a global scale causes a systematic difference of up to 0.3 mm in the north-gradient component, while large local gradients, usually pointing in a direction of increasing humidity, can cause differences of up to 1.0 mm (or even more in extreme cases) in any component depending on the actual direction of the gradient. Although the Bar-Sever gradient mapping function provided slightly better results in some aspects, it is not possible to give any strong recommendation on the gradient mapping function selection. An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013. Tropospheric gradients were estimated in eight different variants of GNSS data processing using precise point positioning (PPP) with the G-Nut/Tefnut software. The impacts of the gradient mapping function, elevation cut-off angle, GNSS constellation, observation elevation-dependent weighting and real-time versus post-processing mode were assessed by comparing the variants by each to other and by evaluating them with respect to tropospheric gradients derived from two numerical weather models (NWMs). Tropospheric gradients estimated in post-processing GNSS solutions using final products were in good agreement with NWM outputs. The quality of high-resolution gradients estimated in (near-)real-time PPP analysis still remains a challenging task due to the quality of the real-time orbit and clock corrections. Comparisons of GNSS and NWM gradients suggest the 3∘ elevation angle cut-off and GPS+GLONASS constellation for obtaining optimal gradient estimates provided precise models for antenna-phase centre offsets and variations, and tropospheric mapping functions are applied for low-elevation observations. Finally, systematic errors can affect the gradient components solely due to the use of different gradient mapping functions, and still depending on observation elevation-dependent weighting. A latitudinal tilting of the troposphere in a global scale causes a systematic difference of up to 0.3 mm in the north-gradient component, while large local gradients, usually pointing in a direction of increasing humidity, can cause differences of up to 1.0 mm (or even more in extreme cases) in any component depending on the actual direction of the gradient. Although the Bar-Sever gradient mapping function provided slightly better results in some aspects, it is not possible to give any strong recommendation on the gradient mapping function selection. An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013. Tropospheric gradients were estimated in eight different variants of GNSS data processing using precise point positioning (PPP) with the G-Nut/Tefnut software. The impacts of the gradient mapping function, elevation cut-off angle, GNSS constellation, observation elevation-dependent weighting and real-time versus post-processing mode were assessed by comparing the variants by each to other and by evaluating them with respect to tropospheric gradients derived from two numerical weather models (NWMs). Tropospheric gradients estimated in post-processing GNSS solutions using final products were in good agreement with NWM outputs. The quality of high-resolution gradients estimated in (near-)real-time PPP analysis still remains a challenging task due to the quality of the real-time orbit and clock corrections. Comparisons of GNSS and NWM gradients suggest the 3.sup.â elevation angle cut-off and GPS+GLONASS constellation for obtaining optimal gradient estimates provided precise models for antenna-phase centre offsets and variations, and tropospheric mapping functions are applied for low-elevation observations. Finally, systematic errors can affect the gradient components solely due to the use of different gradient mapping functions, and still depending on observation elevation-dependent weighting. A latitudinal tilting of the troposphere in a global scale causes a systematic difference of up to 0.3 mm in the north-gradient component, while large local gradients, usually pointing in a direction of increasing humidity, can cause differences of up to 1.0 mm (or even more in extreme cases) in any component depending on the actual direction of the gradient. Although the Bar-Sever gradient mapping function provided slightly better results in some aspects, it is not possible to give any strong recommendation on the gradient mapping function selection.  | 
    
| Audience | Academic | 
    
| Author | Zus, Florian Dick, Galina Balidakis, Kyriakos Kačmařík, Michal Douša, Jan Wickert, Jens Václavovic, Pavel  | 
    
| Author_xml | – sequence: 1 givenname: Michal surname: Kačmařík fullname: Kačmařík, Michal – sequence: 2 givenname: Jan orcidid: 0000-0002-6668-6207 surname: Douša fullname: Douša, Jan – sequence: 3 givenname: Florian surname: Zus fullname: Zus, Florian – sequence: 4 givenname: Pavel surname: Václavovic fullname: Václavovic, Pavel – sequence: 5 givenname: Kyriakos orcidid: 0000-0002-3370-1300 surname: Balidakis fullname: Balidakis, Kyriakos – sequence: 6 givenname: Galina orcidid: 0000-0002-2361-0368 surname: Dick fullname: Dick, Galina – sequence: 7 givenname: Jens surname: Wickert fullname: Wickert, Jens  | 
    
| BookMark | eNqFkU1r3DAQhkVJoZu0P6A3Q89OJdmyrFuXJUkDITls7mKsD1eLV3IlbcP--2jjUkIPCTpIDPO8zDw6R2c-eIPQV4IvGRHtd_CjCXXD65aKmmIiPqAVaRtaY8a7s1fvT-g8pR3GuCOiX6EfW-OTy-6Py8cq2OrmfrutcgxzSPMvE52qxgjaGZ9TlUM1x6BMSs6PVZizCz59Rh8tTMl8-XtfoMfrq8fNz_ru4eZ2s76rVUtJrhlwYrkYMO9ojwdGsWbMKKsoBqtMbxQMhDLbMdG1_aA06wET4I2AYcCkuUC3S6wOsJNzdHuIRxnAyZdCiKOEmJ2ajMSaD4qRwhvSDq0SPRAtrLBMd8zopmTRJevgZzg-wTT9CyRYnnTKF52y4bLolCedBfq2QEXB74NJWe7CIfqysqS0rIhZT2jpuly6RiiTOG9DjqDK0WbvVPky60p9zXrR4aZtWAH4AqgYUorGSuUynMwW0E1vDkT-I99f4hm4Dqrc | 
    
| CitedBy_id | crossref_primary_10_1007_s10291_020_01014_w crossref_primary_10_13168_AGG_2020_0018 crossref_primary_10_5194_gmd_17_3599_2024 crossref_primary_10_1016_j_measurement_2022_111350 crossref_primary_10_3390_rs15215114 crossref_primary_10_5194_amt_14_5593_2021 crossref_primary_10_3390_s23146605 crossref_primary_10_1175_JTECH_D_21_0100_1 crossref_primary_10_3103_S0884591320040042 crossref_primary_10_5194_amt_12_3805_2019 crossref_primary_10_3390_rs14215427 crossref_primary_10_3390_rs12030373 crossref_primary_10_1007_s10712_023_09785_w crossref_primary_10_1088_1361_6501_acf77e crossref_primary_10_15407_kfnt2020_04_073 crossref_primary_10_1007_s00190_020_01386_4 crossref_primary_10_1007_s10291_024_01754_z crossref_primary_10_1109_TGRS_2023_3241956 crossref_primary_10_3390_app9224884 crossref_primary_10_1088_1755_1315_906_1_012058 crossref_primary_10_1007_s10291_022_01379_0 crossref_primary_10_5194_amt_15_21_2022 crossref_primary_10_1016_j_asr_2023_05_010  | 
    
| Cites_doi | 10.1007/s00190-007-0135-3 10.2151/sola.2009-012 10.5194/amt-9-2989-2016 10.1016/S1464-1895(01)00038-2 10.5194/acp-13-5425-2013 10.2151/jmsj.2013-510 10.3390/rs11010041 10.1002/qj.79 10.1007/s10291-018-0742-x 10.1007/s00190-008-0229-6 10.1002/2015GL063856 10.1007/s00703-005-0110-6 10.1029/97JB01739 10.1029/96JB03860 10.3390/rs10020232 10.1016/j.asr.2014.10.004 10.1002/2014RS005584 10.1007/s00190-018-1127-1 10.1016/S0079-1946(98)00143-8 10.13168/AGG.2013.0042 10.2151/jmsj.2004.459 10.1029/93RS01917 10.1029/2011RS004853 10.1007/s00585-000-0223-7 10.1029/2005GL025546 10.5194/amt-9-5385-2016 10.1029/2017JD028049 10.1007/978-3-319-61297-3_13 10.5194/amt-10-3589-2017 10.1016/j.asr.2010.05.034 10.1029/GM015p0247 10.2151/jmsj.2004.331 10.1029/97JB03534 10.1016/j.asr.2015.07.020 10.1007/s00190-007-0144-2 10.1029/2002JD002214 10.1007/s10291-014-0427-z 10.3390/s17040756 10.1029/2005JB003629  | 
    
| ContentType | Journal Article | 
    
| Copyright | COPYRIGHT 2019 Copernicus GmbH 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.  | 
    
| Copyright_xml | – notice: COPYRIGHT 2019 Copernicus GmbH – notice: 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.  | 
    
| DBID | AAYXX CITATION 7TG 7TN 7UA 8FD 8FE 8FG ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W GNUQQ H8D H96 HCIFZ KL. L.G L6V L7M M7S P5Z P62 PATMY PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY ADTOC UNPAY DOA  | 
    
| DOI | 10.5194/angeo-37-429-2019 | 
    
| DatabaseName | CrossRef Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Water Resources Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Continental Europe Database Technology Collection (via ProQuest SciTech Premium Collection) Natural Science Collection ProQuest Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Korea ASFA: Aquatic Sciences and Fisheries Abstracts ProQuest Central Student Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Advanced Technologies Database with Aerospace Engineering Database Advanced Technologies & Aerospace Collection ProQuest Advanced Technologies & Aerospace Collection Environmental Science Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals  | 
    
| DatabaseTitle | CrossRef Publicly Available Content Database Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Central Student Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China Water Resources Abstracts Environmental Sciences and Pollution Management Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Sustainability ProQuest Engineering Collection Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection Environmental Science Collection Advanced Technologies & Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection Environmental Science Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New)  | 
    
| DatabaseTitleList | CrossRef Publicly Available Content Database  | 
    
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database  | 
    
| DeliveryMethod | fulltext_linktorsrc | 
    
| Discipline | Physics | 
    
| EISSN | 1432-0576 | 
    
| EndPage | 446 | 
    
| ExternalDocumentID | oai_doaj_org_article_0d7bc518a0e14b4c98a1d9f9f5d65ed3 10.5194/angeo-37-429-2019 A589603435 10_5194_angeo_37_429_2019  | 
    
| GroupedDBID | -~X 23M 2XV 5GY 5VS 6J9 7XC 8FE 8FG 8FH 8R4 8R5 AAFWJ AAYXX ABDBF ABJCF ABUWG ACIWK ADBBV AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHGZY ALMA_UNASSIGNED_HOLDINGS ARAPS ATCPS BCNDV BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ CCPQU CITATION CS3 E3Z EBS EJD ESX GROUPED_DOAJ H13 HCIFZ IAO IEP KQ8 L6V L8X LK5 M7R M7S OK1 P62 PATMY PCBAR PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC PTHSS PUEGO PYCSY Q2X RKB RNS TR2 TUS XSB ~02 7TG 7TN 7UA 8FD AZQEC C1K DWQXO F1W GNUQQ H8D H96 KL. L.G L7M PKEHL PQEST PQUKI PRINS 2.D 4.4 6NX 875 8TC AAIAL ABQSL ADHKG ADQRH ADTOC AGQPQ AHSBF AI. AMKLP ASPBG AVWKF AZFZN BGNMA C1A DL5 HZ~ I09 IHE IPNFZ KDC LAS M4Y N2Q NU0 O9- QOK QOS RIG ROL RVE SDH SEV TSK UNPAY VH1 VOH WK8 ZY4  | 
    
| ID | FETCH-LOGICAL-c421t-5a71f79b076280b520d55ecfc20afce8ecab125f659648bcd58a01a739abb013 | 
    
| IEDL.DBID | UNPAY | 
    
| ISSN | 1432-0576 0992-7689  | 
    
| IngestDate | Fri Oct 03 12:37:04 EDT 2025 Sun Oct 26 04:12:13 EDT 2025 Fri Jul 25 19:03:52 EDT 2025 Mon Oct 20 16:21:56 EDT 2025 Wed Oct 01 01:16:51 EDT 2025 Thu Apr 24 22:59:55 EDT 2025  | 
    
| IsDoiOpenAccess | true | 
    
| IsOpenAccess | true | 
    
| IsPeerReviewed | true | 
    
| IsScholarly | true | 
    
| Issue | 3 | 
    
| Language | English | 
    
| License | https://creativecommons.org/licenses/by/4.0 cc-by  | 
    
| LinkModel | DirectLink | 
    
| MergedId | FETCHMERGED-LOGICAL-c421t-5a71f79b076280b520d55ecfc20afce8ecab125f659648bcd58a01a739abb013 | 
    
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
    
| ORCID | 0000-0002-3370-1300 0000-0002-6668-6207 0000-0002-2361-0368  | 
    
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://angeo.copernicus.org/articles/37/429/2019/angeo-37-429-2019.pdf | 
    
| PQID | 2242105812 | 
    
| PQPubID | 105746 | 
    
| PageCount | 18 | 
    
| ParticipantIDs | doaj_primary_oai_doaj_org_article_0d7bc518a0e14b4c98a1d9f9f5d65ed3 unpaywall_primary_10_5194_angeo_37_429_2019 proquest_journals_2242105812 gale_infotracacademiconefile_A589603435 crossref_citationtrail_10_5194_angeo_37_429_2019 crossref_primary_10_5194_angeo_37_429_2019  | 
    
| ProviderPackageCode | CITATION AAYXX  | 
    
| PublicationCentury | 2000 | 
    
| PublicationDate | 2019-06-18 | 
    
| PublicationDateYYYYMMDD | 2019-06-18 | 
    
| PublicationDate_xml | – month: 06 year: 2019 text: 2019-06-18 day: 18  | 
    
| PublicationDecade | 2010 | 
    
| PublicationPlace | Katlenburg-Lindau | 
    
| PublicationPlace_xml | – name: Katlenburg-Lindau | 
    
| PublicationTitle | Annales geophysicae (1988) | 
    
| PublicationYear | 2019 | 
    
| Publisher | Copernicus GmbH Copernicus Publications  | 
    
| Publisher_xml | – name: Copernicus GmbH – name: Copernicus Publications  | 
    
| References | ref13 ref35 ref12 ref34 ref15 ref37 ref14 ref36 ref31 ref30 ref11 ref33 ref10 ref32 ref2 ref1 ref17 ref39 ref16 ref38 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref42 ref41 ref22 ref21 ref43 ref28 ref27 ref29 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40  | 
    
| References_xml | – ident: ref9 doi: 10.1007/s00190-007-0135-3 – ident: ref32 doi: 10.2151/sola.2009-012 – ident: ref14 doi: 10.5194/amt-9-2989-2016 – ident: ref5 – ident: ref37 doi: 10.1016/S1464-1895(01)00038-2 – ident: ref10 doi: 10.5194/acp-13-5425-2013 – ident: ref24 doi: 10.2151/jmsj.2013-510 – ident: ref43 doi: 10.3390/rs11010041 – ident: ref22 doi: 10.1002/qj.79 – ident: ref16 doi: 10.1007/s10291-018-0742-x – ident: ref25 doi: 10.1007/s00190-008-0229-6 – ident: ref27 doi: 10.1002/2015GL063856 – ident: ref19 doi: 10.1007/s00703-005-0110-6 – ident: ref11 doi: 10.1029/97JB01739 – ident: ref39 doi: 10.1029/96JB03860 – ident: ref17 doi: 10.3390/rs10020232 – ident: ref29 doi: 10.1016/j.asr.2014.10.004 – ident: ref41 doi: 10.1002/2014RS005584 – ident: ref26 doi: 10.1007/s00190-018-1127-1 – ident: ref30 doi: 10.1016/S0079-1946(98)00143-8 – ident: ref35 doi: 10.13168/AGG.2013.0042 – ident: ref36 doi: 10.2151/jmsj.2004.459 – ident: ref13 doi: 10.1029/93RS01917 – ident: ref40 doi: 10.1029/2011RS004853 – ident: ref18 doi: 10.1007/s00585-000-0223-7 – ident: ref7 doi: 10.1029/2005GL025546 – ident: ref20 doi: 10.5194/amt-9-5385-2016 – ident: ref42 – ident: ref3 doi: 10.1029/2017JD028049 – ident: ref23 doi: 10.1007/978-3-319-61297-3_13 – ident: ref15 doi: 10.5194/amt-10-3589-2017 – ident: ref4 doi: 10.1016/j.asr.2010.05.034 – ident: ref31 doi: 10.1029/GM015p0247 – ident: ref28 doi: 10.2151/jmsj.2004.331 – ident: ref2 doi: 10.1029/97JB03534 – ident: ref34 doi: 10.1016/j.asr.2015.07.020 – ident: ref6 doi: 10.1007/s00190-007-0144-2 – ident: ref21 doi: 10.1029/2002JD002214 – ident: ref1 doi: 10.1007/s10291-014-0427-z – ident: ref38 doi: 10.3390/s17040756 – ident: ref12 – ident: ref33 – ident: ref8 doi: 10.1029/2005JB003629  | 
    
| SSID | ssj0006198 | 
    
| Score | 2.384403 | 
    
| Snippet | An analysis of processing settings impacts on estimated
tropospheric gradients is presented. The study is based on the benchmark
data set collected within the... An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the...  | 
    
| SourceID | doaj unpaywall proquest gale crossref  | 
    
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database  | 
    
| StartPage | 429 | 
    
| SubjectTerms | Antennas (Electronics) Benchmarking Corrections Data analysis Data processing Direction Elevation angle Global navigation satellite system Global positioning systems GLONASS GPS Gradients Humidity Mapping Navigation Navigation satellites Navigation systems Navigational satellites Observational weighting Offsets Post-production processing Real time Satellite observation Satellites (Spacecraft) Sensitivity analysis Systematic errors Time dependence Troposphere Weather Weighting  | 
    
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEB5CoCQ9lD5S6iYtOhQKDSaSLdnSrWlIGgrNZRPITejlUljWS9Yh9N9nRvYuC4Xm0quxzXg0j2-s0TcAn1ohOhGjRk-TrpSYcEsdUypTCrKpI4LUvF3w86q5vJE_btXt1qgv6gkb6YFHxZ3w2PqghHY8CellMNqJaDrTqdioFDPPJ9dmXUxNMRjLghyDqbcSAbUZ9zMRrcgT6tnv0a9KjMRoI0Sxs5WRMnH_3-H5OezdL5buz4Obz7fyz8VLeDEBR3Y6CvwKdtLiNTzLDZxh9Qa-zqgTfRwFwfqOfb-azdhAIxBWRBzwO7Bfd7m7a1ixoWfL8XwA5i3Wj20tB3B9cX59dllO0xHKICsxlMq1omuN5xjONPeq4lGpFLpQcdeFpFNwHtFL1yjTSO1DVKhD4draOE8_P9_C7qJfpHfAQpOaFFuZvEJ80lQuOBcqLMyqZGqnVAF8rSAbJuZwGmAxt1hBkE5t1qmtW4s6taTTAr5sHlmOtBn_uvkbaX1zIzFe5wtoB3ayA_uUHRTwmdbMkl-icMFNxwvwE4nhyp4qjcVajeiwgKP1strJYVe2oq1xrhDuFHC8WeqnZX__P2Q_hH16F3WgCX0Eu8PdffqAWGfwH7NZPwIUafrU priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV3da9RAEB_qFbF9EL-KqVX2QRCU0E2ym2weRFtpLYKHeBX6tuxXinBcrncp4n_vzCa5Fgr1NWzCZr5nZ_Y3AG-rLGsy7xVqmjCpQIebKh9CGoITZeExSI3lgu_T8uyX-HYhL7ZgOt6FobbK0SZGQ-1bR2fkhznVLrlEf_RpeZXS1Ciqro4jNMwwWsF_jBBjD2A7J2SsCWwfn0x__NzYZkwXom2mnksMtOu-zolRjDikXv4W9S1FC42yQ9A7tzxVBPS_a7Z34dH1Ymn-_jHz-S2_dPoEHg8BJTvqJeApbIXFM3gYGzvd-jl8nlGHej8igrUN-zqdzVhHoxHWBCjw27HLVez66tasa9myvzeA_oy1fbvLCzg_PTn_cpYOUxNShxTqUmmqrKlqy9HMKW5lzr2UwTUu56ZxQQVnLEY1TSnrUijrvFSGZ6YqamPpUHQPJot2EV4Cc2Uog69EsBLjljI3zhiXY8KWh7owUibARwJpNyCK02CLucbMgmiqI011UWmkqSaaJvB-88qyh9O4b_ExUX2zkJCw44N2dakHxdLcV9Yhyw0PmbDC1cpkvm7qRvpSBl8k8I54pklfcXPODNcO8BcJ-UofSYVJXIFRYwIHI1v1oMhrfSN2CXzYsPr_e9-__2OvYIdWUc9Zpg5g0q2uw2uMbjr7ZhDZf31V99U priority: 102 providerName: ProQuest  | 
    
| Title | Sensitivity of GNSS tropospheric gradients to processing options | 
    
| URI | https://www.proquest.com/docview/2242105812 https://angeo.copernicus.org/articles/37/429/2019/angeo-37-429-2019.pdf https://doaj.org/article/0d7bc518a0e14b4c98a1d9f9f5d65ed3  | 
    
| UnpaywallVersion | publishedVersion | 
    
| Volume | 37 | 
    
| hasFullText | 1 | 
    
| inHoldings | 1 | 
    
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1432-0576 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: KQ8 dateStart: 19960101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1432-0576 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: DOA dateStart: 19960101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1432-0576 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: ABDBF dateStart: 20100401 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVPQU databaseName: Continental Europe Database customDbUrl: eissn: 1432-0576 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: BFMQW dateStart: 20100401 isFulltext: true titleUrlDefault: https://search.proquest.com/conteurope providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1432-0576 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: BENPR dateStart: 20100401 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1432-0576 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0006198 issn: 0992-7689 databaseCode: 8FG dateStart: 20100401 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest  | 
    
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9QwEB_udhHPB78Pq-fSB0FQute0SZq-uSe3ewguh3sH51PIV_Vw6ZZtF9G_3knbXdQDRfCpECYlySQzvyST3wC8yAgpiLUCVxpVEUWHGwnrXOScoTy1CFLb64L3c352Sd9dsas9mG3fwviIen9XWbl1eW02dUcV3MeIHafZMdpP3LCTvJPE9RFhSeRLxpUt9mHIGYLyAQwv5-eTjy3TXo4YkrfJ8BAcJBEiFN7dbyJ6oTf_84uHaon8b5rrO3B7U1bq21e1XP7kj6b34PO2J10YypfxptFj8_03ksf_0NX7cLfHrOGkq_QA9lz5EG61saOmfgRvFj4IvstCEa6KcDZfLMLGZ1-oPWfBtQk_rdvAsqYOm1VYdU8T0GWGqy6i5jFcTE8v3p5FfWKGyNCENBFTGSmyXMdoSUWsWRJbxpwpTBKrwjjhjNIInAqvCiq0sUyomKgszZX2566HMChXpXsCoeGOO5tRpxlCI54oo5RJcE-YuDxVjAUQb3UhTU9a7nNnLCVuXrz6ZDs2Ms0kjo30YxPAq12VqmPs-JPwiVfwTtCTbbcFqAvZ60LGNtOGEeyDI1RTkwtFbF7kBbOcOZsG8NJPD-lNAjbOqP5lA3bRk2vJCRM4JVMEpgEcbWeQ7G1FLRN_Kx8zRFoBvN7Nqr-3_ek_ST-DA__xUW5EHMGgWW_cc8RTjR7BvpjORjA8OZ2ffxi1pxKjfv38AOwyHjg | 
    
| linkProvider | Unpaywall | 
    
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VVqhwQDxFoIAPICRQ1DzsxDlU0ELLlrYrxC5Sb5ZjOxXSarNsUlX9cfw3ZhJnqYRUTr1GtuXMjP3NeF4Ar_M4rmJrJZ40rkOOgBtK61zonOFZalFJ7dwFJ-Ns9IN_PRWna_B7yIWhsMrhTuwualsbeiPfTsh3GQnEow-LXyF1jSLv6tBCQ_vWCnanKzHmEzuO3OUFmnDNzuFn5PebJDnYn34ahb7LQGhwxTYUOo-rvCjRoE9kVIokskI4U5kk0pVx0hldohZQZaLIuCyNFVJHsc7TQpf0iIjL3oINnvICbb-Nvf3xt-8rKEDrpIMCCvFEvb7o3aqoNPFtSh2o8XiHCAgoqlTp5wowdv0D_kWJu7B5Pl_oyws9m12BwYP7cM_rr2y3F7gHsObmD-F2F0dqmkfwcUIB8X1HClZX7Mt4MmEtdWJoqH7BT8POll2QWduwtmaLPk0B4ZPVfXTNY5jeBPmewPq8nrunwEzmMmdz7kqBalKWaKO1SdA-TFyRaiECiAYCKeMLmFMfjZlCQ4ZoqjqaqjRXSFNFNA3g3WrKoq_ecd3gPaL6aiAV3u4-1Msz5c-ximxeGpQwHbmYl9wUUse2qIpK2Ew4mwbwlnim6HrAzRntsxzwF6nQltoVEm3GFJXUALYGtip_bzTqr5QH8H7F6v_v_dn1i72CzdH05FgdH46PnsMdmkHhbrHcgvV2ee5eoGLVli-9-DJQN3xg_gBlVjTK | 
    
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VIh49IJ4itIAPICRQtIlj53FAtFC2LYUV0rZSb5ZjOxXSarNsUlX9afw7ZpxkWwmpnHqNHMsez_ib8bwA3mRxXMXW5ihpQocCATfMrXOhc0akiUUl1bsLfkzS_WPx7USerMGfIReGwiqHO9Ff1LY29EY-4uS7jCTi0ajqwyJ-7o4_LX6H1EGKPK1DO42ORQ7dxTmab83Hg10867ecj78efdkP-w4DocHZ2lDqLK6yokRjnudRKXlkpXSmMjzSlXG5M7pEDaBKZZGKvDRW5jqKdZYUuqQHRJz2FtzOqIg7JamP91YggHaJBwEK7kSNvugcqqguiRElDdQo2CFCATIp1fi5Aom-c8C_-LAB987mC31xrmezKwA4fggPes2V7XSs9gjW3Pwx3PERpKZ5AttTCoXvelGwumJ7k-mUtdSDoaHKBb8MO1368LK2YW3NFl2CAgInq7u4mqdwdBPEewbr83rungMzqUudzYQrJSpIKddGa8PRMuSuSLSUAUQDgZTpS5dTB42ZQhOGaKo8TVWSKaSpIpoG8H71y6Kr23Hd4M9E9dVAKrntP9TLU9VLsIpsVhoZ4x5cLEphilzHtqiKStpUOpsE8I7OTNHFgIszus9vwC1SiS21I3O0FhNUTwPYGo5V9TdGoy75O4APq6P-_9pfXD_Za7iLYqK-H0wON-E-_UBxbnG-Bevt8sy9RI2qLV953mWgblhW_gLzlDJk | 
    
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9QwEB_OPUR98FusnpIHQVCy17RJP95cxbtDcBH2Ds6nkK_q4dIt2y6if70zbXdRDxTBp0JISpOZzPzSmfwG4FkuRCW8L3CnScMlOlxe-BB4CE5mqUeQ2ocL3s-zkzP57lyd78Hx9i4MZdRTrLIJ6_rCbdqBKnjMETtM80O0n3hgF-XQE_cHxxZOLdPGV1dgP1MIyiewfzb_MPvYM-2ViCGzvhgegoOEI0LJhvgmohd5-T2_eKieyP-yub4B1zZ1Y759NcvlT_7o6BZ83s5kSEP5Mt10duq-_0by-B-mehtujpiVzYZBd2Av1Hfhap876tp78GpBSfBDFQq2qtjxfLFgHVVfaImz4MKxT-s-saxrWbdizXA1AV0mWw0ZNffh9Ojt6ZsTPhZm4E4mouPK5KLKSxujJS1iq5LYKxVc5ZLYVC4UwRmLwKkiUcjCOq8KEwuTp6Wx9N_1AUzqVR0eAnNZyILPZbAKoVGWGGeMS_BMmIQyNUpFEG9lod1IWk61M5YaDy8kPt2vjU5zjWujaW0ieLEb0gyMHX_q_JoEvOtIZNt9A8pCj7LQsc-tUwLnEIS00pWFEb6sykr5TAWfRvCc1EOTScCPc2a82YBTJHItPVMFqmSKwDSCg60G6dFWtDqhqHysEGlF8HKnVX__9kf_1PsxXKcHZbmJ4gAm3XoTniCe6uzTca_8ALrSGsM | 
    
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Sensitivity+of+GNSS+tropospheric+gradients+to+processing+options&rft.jtitle=Annales+geophysicae+%281988%29&rft.au=Ka%C4%8Dma%C5%99%C3%ADk%2C+Michal&rft.au=Dou%C5%A1a%2C+Jan&rft.au=Zus%2C+Florian&rft.au=V%C3%A1clavovic%2C+Pavel&rft.date=2019-06-18&rft.issn=1432-0576&rft.eissn=1432-0576&rft.volume=37&rft.issue=3&rft.spage=429&rft.epage=446&rft_id=info:doi/10.5194%2Fangeo-37-429-2019&rft.externalDBID=n%2Fa&rft.externalDocID=10_5194_angeo_37_429_2019 | 
    
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1432-0576&client=summon | 
    
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1432-0576&client=summon | 
    
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1432-0576&client=summon |