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...

Full description

Saved in:
Bibliographic Details
Published inAnnales geophysicae (1988) Vol. 37; no. 3; pp. 429 - 446
Main Authors Kačmařík, Michal, Douša, Jan, Zus, Florian, Václavovic, Pavel, Balidakis, Kyriakos, Dick, Galina, Wickert, Jens
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 18.06.2019
Copernicus Publications
Subjects
Online AccessGet full text
ISSN1432-0576
0992-7689
1432-0576
DOI10.5194/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.∘ 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