Estimating the Baseline Error of Wide-Swath Altimeters Using Nadir Altimeters via Numerical Simulation
The baseline roll and length errors for wide-swath altimeters are major error sources in sea surface measurements that exhibit strong spatial characteristics in the cross-track direction. These errors can be identified and estimated in accordance with height differences at crossover points generated...
Saved in:
Published in | Journal of Ocean University of China Vol. 21; no. 3; pp. 681 - 693 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Science Press
01.06.2022
Springer Nature B.V College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China%National Satellite Ocean Application Service(NSOAS),Beijing 100081,China |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The baseline roll and length errors for wide-swath altimeters are major error sources in sea surface measurements that exhibit strong spatial characteristics in the cross-track direction. These errors can be identified and estimated in accordance with height differences at crossover points generated with nadir altimeters after excluding the interference from other error sources. Most of the wide-swath altimeter baseline estimation methods considered only the roll error in previous studies. A numerical simulation was conducted in this study using nadir altimeters to estimate the roll and length errors simultaneously to provide a selectable scheme for baseline error estimation and correction for future wide-swath altimeters. Results based on the parameters of the surface water and ocean topography mission and Sentinel-3A show that the correlation coefficient of the roll error between the estimated and simulated values is 0.89, while the correlation coefficient of the length error is 0.85. The sea surface height root mean square error (RMSE) can be reduced from 12.18 cm to 6.45 cm based on the two estimated results. The estimation effect can be increased by using multiple nadir altimeters to form an observation constellation. The numerical simulation of the five nadir altimeter constellation shows that the correlation coefficients of the roll and length errors would increase to 0.97, which reduces the sea surface height RMSE to 2.88 cm. In addition, the stability of this method is indicated in simulation experiments, which introduce different degrees of sea state errors. |
---|---|
AbstractList | The baseline roll and length errors for wide-swath altimeters are major error sources in sea surface measurements that exhibit strong spatial characteristics in the cross-track direction. These errors can be identified and estimated in accordance with height differences at crossover points generated with nadir altimeters after excluding the interference from other error sources. Most of the wide-swath altimeter baseline estimation methods considered only the roll error in previous studies. A numerical simulation was conducted in this study using nadir altimeters to estimate the roll and length errors simultaneously to provide a selectable scheme for baseline error estimation and correction for future wide-swath altimeters. Results based on the parameters of the surface water and ocean topography mission and Sentinel-3A show that the correlation coefficient of the roll error between the estimated and simulated values is 0.89, while the correlation coefficient of the length error is 0.85. The sea surface height root mean square error (RMSE) can be reduced from 12.18 cm to 6.45 cm based on the two estimated results. The estimation effect can be increased by using multiple nadir altimeters to form an observation constellation. The numerical simulation of the five nadir altimeter constellation shows that the correlation coefficients of the roll and length errors would increase to 0.97, which reduces the sea surface height RMSE to 2.88 cm. In addition, the stability of this method is indicated in simulation experiments, which introduce different degrees of sea state errors. The baseline roll and length errors for wide-swath altimeters are major error sources in sea surface measurements that exhibit strong spatial characteristics in the cross-track direction.These errors can be identified and estimated in accordance with height differences at crossover points generated with nadir altimeters after excluding the interference from other error sources.Most of the wide-swath altimeter baseline estimation methods considered only the roll error in previous studies.A numerical simulation was conducted in this study using nadir altimeters to estimate the roll and length errors simultaneously to provide a selectable scheme for baseline error estimation and correction for future wide-swath altimeters.Results based on the parameters of the surface water and ocean topography mission and Sentinel-3A show that the correlation coefficient of the roll error between the estimated and simulated values is 0.89,while the correlation coefficient of the length error is 0.85.The sea surface height root mean square error(RMSE)can be reduced from 12.18cm to 6.45 cm based on the two estimated results.The estimation effect can be increased by using multiple nadir altimeters to form an observation constellation.The numerical simulation of the five nadir altimeter constellation shows that the correlation coefficients of the roll and length errors would increase to 0.97,which reduces the sea surface height RMSE to 2.88 cm.In addition,the stability of this method is indicated in simulation experiments,which introduce different degrees of sea state errors. |
Author | Jia, Yongjun Miao, Hongli Miao, Xiangying Lin, Mingsen |
AuthorAffiliation | College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China%National Satellite Ocean Application Service(NSOAS),Beijing 100081,China |
AuthorAffiliation_xml | – name: College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China%National Satellite Ocean Application Service(NSOAS),Beijing 100081,China |
Author_xml | – sequence: 1 givenname: Xiangying surname: Miao fullname: Miao, Xiangying organization: College of Information Science and Engineering, Ocean University of China – sequence: 2 givenname: Yongjun surname: Jia fullname: Jia, Yongjun organization: National Satellite Ocean Application Service (NSOAS) – sequence: 3 givenname: Mingsen surname: Lin fullname: Lin, Mingsen organization: National Satellite Ocean Application Service (NSOAS) – sequence: 4 givenname: Hongli surname: Miao fullname: Miao, Hongli email: oumhl@ouc.edu.cn organization: College of Information Science and Engineering, Ocean University of China |
BookMark | eNp1kE1LAzEQhoMoWKs_wFvAo0TzsZvsHlXqBxQ91OIxpJtJu2WbbZOt1n9vygr14mmG4XnfgecMHfvWA0KXjN4wStVtZKygnFDOSZaJjIgjNGBlKUhOOTtOu1Sc5Kzgp-gsxiWlucilGiA3il29Ml3t57hbAL43EZraAx6F0AbcOvxRWyCTL9Mt8F2TWOggRDyN-8SrsXX4e_6sDX7driDUlWnwpF5tm9Td-nN04kwT4eJ3DtH0cfT-8EzGb08vD3djUvGCd0QBzQvlTJkJaTNQDCxYByYHJ6VQ1omykpXiAqrCSUeVYAU4OptRYXmZl2KIrvveL-Od8XO9bLfBp496YxffdrebaeBJEhWUqURf9fQ6tJstxO6AcykzKmXJi0SxnqpCG2MAp9chKQvfmlG9l697-Tr16r18LVKG95mYWD-HcGj-P_QDzv2Jjw |
CitedBy_id | crossref_primary_10_3390_rs15102482 crossref_primary_10_1080_01490419_2023_2232107 |
Cites_doi | 10.1029/150GM17 10.3390/rs6032255 10.1109/TGRS.2011.2171976 10.1175/JTECH-D-17-0061.1 10.1175/JTECH-D-17-0076.1 10.3390/rs11131573 10.1175/JTECH-D-13-00109.1 10.3390/rs12101534 10.1175/JTECH-D-18-0119.1 10.3390/rs11111336 10.1029/2012JC008277 10.1175/JTECH-D-15-0160.1 10.3390/rs12152496 10.1175/JTECH-D-18-0148.1 10.3390/rs10020297 10.1109/JPROC.2010.2043031 10.3390/rs6064831 10.1016/j.asr.2018.07.017 10.3390/rs71114509 10.1109/GEOINFORMATICS.2010.5567698 10.1117/12.868525 10.1109/IGARSS.2018.8517385 10.1117/12.2277593 10.1109/PIERS-Spring46901.2019.9017757 10.1109/IRS.2014.6869294 10.1117/12.868535 |
ContentType | Journal Article |
Copyright | Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022 Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022 – notice: Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2022. – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | AAYXX CITATION 7T7 7TN 8FD C1K F1W FR3 H95 H96 L.G P64 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.1007/s11802-022-4434-3 |
DatabaseName | CrossRef Industrial and Applied Microbiology Abstracts (Microbiology A) Oceanic Abstracts Technology Research Database Environmental Sciences and Pollution Management ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Aquatic Science & Fisheries Abstracts (ASFA) Professional Biotechnology and BioEngineering Abstracts Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 中國數字化期刊數據庫 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitle | CrossRef Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Oceanic Abstracts Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources Industrial and Applied Microbiology Abstracts (Microbiology A) Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management |
DatabaseTitleList | Aquatic Science & Fisheries Abstracts (ASFA) Professional |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Oceanography |
EISSN | 1993-5021 1672-5174 |
EndPage | 693 |
ExternalDocumentID | qdhydxxb_e202203017 10_1007_s11802_022_4434_3 |
GroupedDBID | -01 -0A -5A -5G -BR -EM -SA -S~ -Y2 -~C .86 .VR 06D 0R~ 0VY 188 1N0 29L 2B. 2C. 2J2 2JN 2JY 2KG 2KM 2LR 30V 3V. 4.4 406 408 40D 40E 5GY 5VR 5VS 67M 6NX 88I 8CJ 8FE 8FH 8RM 8TC 92E 92I 92M 92Q 93N 95- 95. 95~ 96X 9D9 9DA AAAVM AABHQ AAFGU AAHNG AAIAL AAJKR AANZL AARHV AARTL AATNV AATVU AAUYE AAYFA AAYIU AAYQN AAYTO ABDZT ABECU ABFGW ABFTV ABHQN ABJOX ABKAS ABKCH ABMNI ABMQK ABNWP ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABUWG ABWNU ABXPI ACBMV ACBRV ACBXY ACBYP ACGFS ACGOD ACHSB ACHXU ACIGE ACIPQ ACKNC ACMDZ ACMLO ACOKC ACPRK ACSNA ACTTH ACVWB ACWMK ADHHG ADHIR ADINQ ADKNI ADKPE ADMDM ADOXG ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFTE AEGNC AEJHL AEJRE AENEX AEOHA AEPYU AESKC AESTI AETLH AEVLU AEVTX AEXYK AFKRA AFLOW AFNRJ AFQWF AFRAH AFUIB AFWTZ AFZKB AGAYW AGDGC AGGBP AGJBK AGMZJ AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIIXL AILAN AIMYW AITGF AJBLW AJDOV AJRNO AJZVZ AKQUC ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ AXYYD AZQEC B-. BA0 BDATZ BENPR BGNMA BHPHI BKSAR BPHCQ CAG CAJEA CAJUS CCEZO CCPQU CCVFK CHBEP COF CS3 CSCUP CW9 D1J D1K DDRTE DNIVK DPUIP DU5 DWQXO EBLON EBS EIOEI EJD ESBYG FA0 FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 HCIFZ HF~ HG6 HLICF HMJXF HRMNR HZ~ IKXTQ IWAJR IXD I~X I~Z J-C JBSCW JUIAU JZLTJ K6- KOV LK5 LLZTM M2P M4Y M7R MA- NPVJJ NQJWS NU0 O9- O9J PCBAR PF0 PQQKQ PROAC PT4 Q-- Q-0 Q2X QOS R-A R89 R9I ROL RPX RSV RT1 S.. S16 S1Z S27 S3B SAP SCL SDH SEV SHX SISQX SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T8Q TCJ TGP TSG TUC U1F U1G U2A U5A U5K UG4 UNUBA UOJIU UTJUX UZ4 UZXMN VC2 VFIZW W48 WK8 YLTOR Z5O ZMTXR ~02 ~A9 ~LH AACDK AAJBT AASML AAXDM AAYXX ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU CITATION H13 SJYHP 7T7 7TN 8FD C1K F1W FR3 H95 H96 L.G P64 4A8 PSX |
ID | FETCH-LOGICAL-c282t-7e0587fa9436d4e71ededfea5ef6637df39c6c723ec8f6f07318ef0bb03d29593 |
IEDL.DBID | U2A |
ISSN | 1672-5182 |
IngestDate | Tue Feb 13 23:41:08 EST 2024 Fri Sep 13 04:04:49 EDT 2024 Thu Sep 12 19:52:12 EDT 2024 Sat Dec 16 12:08:02 EST 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Keywords | baseline length crossover point height difference wide-swath altimeter baseline error roll angle nadir altimeter |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c282t-7e0587fa9436d4e71ededfea5ef6637df39c6c723ec8f6f07318ef0bb03d29593 |
PQID | 2664066928 |
PQPubID | 54481 |
PageCount | 13 |
ParticipantIDs | wanfang_journals_qdhydxxb_e202203017 proquest_journals_2664066928 crossref_primary_10_1007_s11802_022_4434_3 springer_journals_10_1007_s11802_022_4434_3 |
PublicationCentury | 2000 |
PublicationDate | 2022-06-01 |
PublicationDateYYYYMMDD | 2022-06-01 |
PublicationDate_xml | – month: 06 year: 2022 text: 2022-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Heidelberg |
PublicationPlace_xml | – name: Heidelberg – name: Dordrecht |
PublicationSubtitle | Oceanic and Coastal Sea Research |
PublicationTitle | Journal of Ocean University of China |
PublicationTitleAbbrev | J. Ocean Univ. China |
PublicationTitle_FL | Journal of Ocean University of China |
PublicationYear | 2022 |
Publisher | Science Press Springer Nature B.V College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China%National Satellite Ocean Application Service(NSOAS),Beijing 100081,China |
Publisher_xml | – name: Science Press – name: Springer Nature B.V – name: College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China%National Satellite Ocean Application Service(NSOAS),Beijing 100081,China |
References | Durand, Fu, Lettenmaier, Alsdorf, Rodriguez, Esteban-Fernandez (CR8) 2010; 98 Wang, Fu, Torres, Chen, Qiu, Menemenlis (CR24) 2019; 36 Metref, Cosme, Le Sommer, Poel, Brankart, Verron (CR14) 2019; 11 Cazenave, Palanisamy, Ablain (CR3) 2018; 62 Bai, Wang, Zhang, Zhao, Chen (CR1) 2020; 12 CR19 CR17 Ubelmann, Dibarboure, Dubois (CR21) 2018; 35 Hamlington, Leben, Kim (CR13) 2012; 117 CR15 Salameh, Frappart, Marieu, Spodar, Parisot, Hanquiez (CR20) 2018; 10 Wang, Fu (CR22) 2019; 36 Ren, Yang, Dong, Zhang, Jia (CR18) 2020; 12 Dibarboure, Ubelmann (CR5) 2014; 6 Fu, Ubelmann (CR11) 2014; 31 Bosch, Dettmering, Schwatke (CR2) 2014; 6 CR4 Fu, Rodriguez, Sparks, Hawkeswort (CR10) 2004 CR7 CR9 Peral, Rodríguez, Esteban-Fernández (CR16) 2015; 7 CR27 CR26 Gaultier, Ubelmann, Fu (CR12) 2016; 33 Wang, Fu, Qiu, Menemenlis, Farrar, Chao (CR23) 2018; 35 Dibarboure, Labroue, Ablain, Fjortoft, Mallet, Lambin (CR6) 2012; 50 Yang, Zhang, Wang (CR25) 2019; 11 L L Fu (4434_CR10) 2004 4434_CR27 4434_CR26 E Salameh (4434_CR20) 2018; 10 M Durand (4434_CR8) 2010; 98 L Gaultier (4434_CR12) 2016; 33 A Cazenave (4434_CR3) 2018; 62 C Ubelmann (4434_CR21) 2018; 35 J Wang (4434_CR24) 2019; 36 4434_CR4 J Yang (4434_CR25) 2019; 11 4434_CR7 4434_CR9 L L Fu (4434_CR11) 2014; 31 J Wang (4434_CR23) 2018; 35 G Dibarboure (4434_CR5) 2014; 6 4434_CR19 4434_CR17 4434_CR15 J Wang (4434_CR22) 2019; 36 B D Hamlington (4434_CR13) 2012; 117 W Bosch (4434_CR2) 2014; 6 S Metref (4434_CR14) 2019; 11 L Ren (4434_CR18) 2020; 12 G Dibarboure (4434_CR6) 2012; 50 Y Bai (4434_CR1) 2020; 12 E Peral (4434_CR16) 2015; 7 |
References_xml | – start-page: 209 year: 2004 end-page: 224 ident: CR10 article-title: High-resolution measurement of ocean surface topography by radar interferometry for oceanographic and geophysical applications publication-title: The State of the Planet: Frontiers and Challenges in Geophysics doi: 10.1029/150GM17 contributor: fullname: Hawkeswort – volume: 6 start-page: 2255 issue: 3 year: 2014 end-page: 2281 ident: CR2 article-title: Multi-mission cross-calibration of satellite altimeters: Constructing a long-term data record for global and regional sea level change studies publication-title: Remote Sensing doi: 10.3390/rs6032255 contributor: fullname: Schwatke – ident: CR4 – volume: 50 start-page: 2325 issue: 6 year: 2012 end-page: 2344 ident: CR6 article-title: Empirical cross-calibration of coherent SWOT errors using external references and the altimetry constellation publication-title: IEEE Transactions on Geoscience and Remote Sensing doi: 10.1109/TGRS.2011.2171976 contributor: fullname: Lambin – volume: 35 start-page: 845 issue: 4 year: 2018 end-page: 857 ident: CR21 article-title: A cross-spectral approach to measure the error budget of the SWOT altimetry mission over the ocean publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-17-0061.1 contributor: fullname: Dubois – volume: 35 start-page: 281 issue: 2 year: 2018 end-page: 297 ident: CR23 article-title: An observing system simulation experiment for the calibration and validation of the surface water ocean topography sea surface height measurement using platforms publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-17-0076.1 contributor: fullname: Chao – volume: 11 start-page: 1573 issue: 13 year: 2019 ident: CR25 article-title: Sentinel-3A SRAL global statistical assessment and cross-calibration with Jason-3 publication-title: Remote Sensing doi: 10.3390/rs11131573 contributor: fullname: Wang – volume: 31 start-page: 560 issue: 2 year: 2014 end-page: 568 ident: CR11 article-title: On the transition from profile altimeter to swath altimeter for observing global ocean surface topography publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-13-00109.1 contributor: fullname: Ubelmann – volume: 12 start-page: 1534 issue: 10 year: 2020 ident: CR1 article-title: Impact of ocean waves on Guanlan’s IRA measurement error publication-title: Remote Sensing doi: 10.3390/rs12101534 contributor: fullname: Chen – volume: 36 start-page: 87 issue: 1 year: 2019 end-page: 99 ident: CR24 article-title: On the spatial scales to be resolved by the surface water and ocean topography Ka-band radar interferometer publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-18-0119.1 contributor: fullname: Menemenlis – ident: CR27 – volume: 11 start-page: 1336 year: 2019 ident: CR14 article-title: Reduction of spatially structured errors in wide-swath altimetric satellite data using data assimilation publication-title: Remote Sensing doi: 10.3390/rs11111336 contributor: fullname: Verron – volume: 117 start-page: 1 issue: C10 year: 2012 end-page: 14 ident: CR13 article-title: Improving sea level reconstructions using non-sea level measurements publication-title: Journal of Geophysical Research doi: 10.1029/2012JC008277 contributor: fullname: Kim – ident: CR19 – volume: 33 start-page: 119 issue: 1 year: 2016 end-page: 126 ident: CR12 article-title: The challenge of using future SWOT data for oceanic field reconstruction publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-15-0160.1 contributor: fullname: Fu – volume: 12 start-page: 2496 issue: 15 year: 2020 ident: CR18 article-title: Preliminary evaluation and correction of sea surface height from Chinese Tiangong-2 interferometric imaging radar altimeter publication-title: Remote Sensing doi: 10.3390/rs12152496 contributor: fullname: Jia – volume: 36 start-page: 843 issue: 5 year: 2019 end-page: 848 ident: CR22 article-title: On the long-wavelength validation of the SWOT KaRIn measurement publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-18-0148.1 contributor: fullname: Fu – ident: CR15 – volume: 10 start-page: 1 issue: 2 year: 2018 end-page: 22 ident: CR20 article-title: Monitoring sea level and topography of coastal lagoons using satellite radar altimetry: The example of the Arcachon Bay in the Bay of Biscay publication-title: Remote Sensing doi: 10.3390/rs10020297 contributor: fullname: Hanquiez – ident: CR17 – volume: 98 start-page: 766 issue: 5 year: 2010 end-page: 779 ident: CR8 article-title: The surface water and ocean topography mission: Observing terrestrial surface water and oceanic submesoscale eddies publication-title: Proceedings of the IEEE doi: 10.1109/JPROC.2010.2043031 contributor: fullname: Esteban-Fernandez – volume: 6 start-page: 4831 year: 2014 end-page: 4869 ident: CR5 article-title: Investigating the performance of four empirical cross-calibration methods for the proposed SWOT mission publication-title: Remote Sensing doi: 10.3390/rs6064831 contributor: fullname: Ubelmann – ident: CR9 – volume: 62 start-page: 1639 issue: 7 year: 2018 end-page: 1653 ident: CR3 article-title: Contemporary sea level changes from satellite altimetry: What have we learned? What are the new challenges? publication-title: Advances in Space Research doi: 10.1016/j.asr.2018.07.017 contributor: fullname: Ablain – ident: CR7 – volume: 7 start-page: 14509 issue: 11 year: 2015 end-page: 14529 ident: CR16 article-title: Impact of surface waves on SWOT’s projected ocean accuracy publication-title: Remote Sensing doi: 10.3390/rs71114509 contributor: fullname: Esteban-Fernández – ident: CR26 – volume: 117 start-page: 1 issue: C10 year: 2012 ident: 4434_CR13 publication-title: Journal of Geophysical Research doi: 10.1029/2012JC008277 contributor: fullname: B D Hamlington – volume: 36 start-page: 87 issue: 1 year: 2019 ident: 4434_CR24 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-18-0119.1 contributor: fullname: J Wang – volume: 33 start-page: 119 issue: 1 year: 2016 ident: 4434_CR12 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-15-0160.1 contributor: fullname: L Gaultier – ident: 4434_CR7 doi: 10.1109/GEOINFORMATICS.2010.5567698 – volume: 6 start-page: 2255 issue: 3 year: 2014 ident: 4434_CR2 publication-title: Remote Sensing doi: 10.3390/rs6032255 contributor: fullname: W Bosch – volume: 7 start-page: 14509 issue: 11 year: 2015 ident: 4434_CR16 publication-title: Remote Sensing doi: 10.3390/rs71114509 contributor: fullname: E Peral – ident: 4434_CR19 doi: 10.1117/12.868525 – volume: 10 start-page: 1 issue: 2 year: 2018 ident: 4434_CR20 publication-title: Remote Sensing doi: 10.3390/rs10020297 contributor: fullname: E Salameh – volume: 31 start-page: 560 issue: 2 year: 2014 ident: 4434_CR11 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-13-00109.1 contributor: fullname: L L Fu – volume: 35 start-page: 845 issue: 4 year: 2018 ident: 4434_CR21 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-17-0061.1 contributor: fullname: C Ubelmann – volume: 36 start-page: 843 issue: 5 year: 2019 ident: 4434_CR22 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-18-0148.1 contributor: fullname: J Wang – ident: 4434_CR15 doi: 10.1109/IGARSS.2018.8517385 – volume: 12 start-page: 2496 issue: 15 year: 2020 ident: 4434_CR18 publication-title: Remote Sensing doi: 10.3390/rs12152496 contributor: fullname: L Ren – volume: 62 start-page: 1639 issue: 7 year: 2018 ident: 4434_CR3 publication-title: Advances in Space Research doi: 10.1016/j.asr.2018.07.017 contributor: fullname: A Cazenave – volume: 6 start-page: 4831 year: 2014 ident: 4434_CR5 publication-title: Remote Sensing doi: 10.3390/rs6064831 contributor: fullname: G Dibarboure – volume: 50 start-page: 2325 issue: 6 year: 2012 ident: 4434_CR6 publication-title: IEEE Transactions on Geoscience and Remote Sensing doi: 10.1109/TGRS.2011.2171976 contributor: fullname: G Dibarboure – start-page: 209 volume-title: The State of the Planet: Frontiers and Challenges in Geophysics year: 2004 ident: 4434_CR10 doi: 10.1029/150GM17 contributor: fullname: L L Fu – ident: 4434_CR17 doi: 10.1117/12.2277593 – ident: 4434_CR4 – ident: 4434_CR27 doi: 10.1109/PIERS-Spring46901.2019.9017757 – ident: 4434_CR26 doi: 10.1109/IRS.2014.6869294 – volume: 11 start-page: 1573 issue: 13 year: 2019 ident: 4434_CR25 publication-title: Remote Sensing doi: 10.3390/rs11131573 contributor: fullname: J Yang – volume: 12 start-page: 1534 issue: 10 year: 2020 ident: 4434_CR1 publication-title: Remote Sensing doi: 10.3390/rs12101534 contributor: fullname: Y Bai – volume: 11 start-page: 1336 year: 2019 ident: 4434_CR14 publication-title: Remote Sensing doi: 10.3390/rs11111336 contributor: fullname: S Metref – volume: 98 start-page: 766 issue: 5 year: 2010 ident: 4434_CR8 publication-title: Proceedings of the IEEE doi: 10.1109/JPROC.2010.2043031 contributor: fullname: M Durand – ident: 4434_CR9 doi: 10.1117/12.868535 – volume: 35 start-page: 281 issue: 2 year: 2018 ident: 4434_CR23 publication-title: Journal of Atmospheric and Oceanic Technology doi: 10.1175/JTECH-D-17-0076.1 contributor: fullname: J Wang |
SSID | ssj0053567 ssj0002507528 |
Score | 2.2804146 |
Snippet | The baseline roll and length errors for wide-swath altimeters are major error sources in sea surface measurements that exhibit strong spatial characteristics... |
SourceID | wanfang proquest crossref springer |
SourceType | Aggregation Database Publisher |
StartPage | 681 |
SubjectTerms | Altimeters Coefficients Correlation coefficient Correlation coefficients Earth and Environmental Science Earth Sciences Error analysis Error correction Errors Estimation Mathematical models Meteorology Oceanography Root-mean-square errors Sea state Sea states Sea surface Simulation Surface water |
Title | Estimating the Baseline Error of Wide-Swath Altimeters Using Nadir Altimeters via Numerical Simulation |
URI | https://link.springer.com/article/10.1007/s11802-022-4434-3 https://www.proquest.com/docview/2664066928/abstract/ https://d.wanfangdata.com.cn/periodical/qdhydxxb-e202203017 |
Volume | 21 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDLZ4XBAS4inGSzlwAgVtbdK0xw1tIBDjABNwqtLGgYnRwRivf4_TtRQkhMSpUpv44MT2lzr-DLAbCmONdGUfqCwXqdI8TGTITZBqTettJbp657NucNwTJ9fyegq8r18X2f1BmZHMHXVV6-a4yri7fC6EL7g_DbMOO7id3POapfeVvsy7xjYCRYcsAs9lJvM3ET9jUQUwv3KieSVPZnV2-y3odBZhoUCLrDlZ3iWYwmwZ5s9T1FlBNb0Ctk1W6nBndssIzbGWzmvMkbVHo-GIDS276hvkF2-E9Vhz4JrJO0ZNll8WYF1NQe3769e-Zt2XSR5nwC76D0V_r1XoddqXh8e86J7AUzpGjbnCugyV1ZHwAyNQNdCgsaglWkIZylg_SoNUeT6moQ0smXojRFtPkrpvPEdXvAYz2TDDdWCOUZKAAYaoNQUzqdPIowlBJBJDIm0N9ko9xo8Tkoy4okN2So9J6bFTeuzXYKvUdFzYy3NMMIGQRRB5YQ32S-1Xn_8QtlssUDX4ydx9mPf3JEbPlRGTB1Mb_xK6CXNu5uRC2BbMjEcvuE3QY5zswGyz02p13fPo5rS9k--9TyDN1Is |
link.rule.ids | 315,786,790,27957,27958,41116,41558,42185,42627,52146,52269 |
linkProvider | Springer Nature |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8MwDI5gHEBIiKcYDMiBEyjS1iZNexxo03iNA5vgFqWNA5OggzFg_HucrqVDQkhc-_DBieMvsr_PhByG3FgjHO0DpGU8kZqFsQiZCRKtcb2tAMd3vuoGnT4_vxN3OY_7teh2L0qS2Uldkt2cWBlz3eec-5z582TByam7G1ffaxbHr_BFNja2EUi8ZSF6LkqZv5n4mYxKhPldFM2oPKnV6f1M1mmvkpUcLtLmdH3XyByk62T5OgGd5lrTG8S2MEwd8EzvKcI5eqIzkjnQ1mg0HNGhpbcDA-zmA8EebT66afJOUpNm3QK0qzGrzT5-H2jafZsWch7pzeApH_C1SfrtVu-0w_LxCSzBe9SYSaiLUFodcT8wHGQDDBgLWoBFmCGN9aMkSKTnQxLawGKsN0Kw9Tiu-8ZzesVbpJIOU9gm1ElKIjKAELTGbCZ0Enn4QxDx2KBJWyVHhR_V81QlQ5V6yM7pCp2unNOVXyW1wtMqD5hXhTgBoUUQeWGVHBfeL1__YewwX6Dy4xfz8Gkmk1iB53jEeITJnX8ZPSCLnd7Vpbo8617skiVnZdodViOV8egN9hCHjOP9bN99ASQ51NY |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1ZSwMxEA4eICKIJ9YzDz4pwXY32ew-Vm3xrIIWfQvZzaQWdKu1Xv_eyR6uggi-7jEPk0zmCzPfN4Rsh9xYIxztA6RlPJGahbEImQkSrXG9rQDHdz7vBEddfnIrbos5p89lt3tZksw5DU6lKR3tPRq7VxHfnHAZc53onPuc-eNk0mVG19PV9ZrlUSx8kY2QbQQSb1yIpMuy5m8mfiamCm1-FUgzWk9qddr7loHac2S2gI60ma_1PBmDdIHMXCSg00J3epHYFoasA6FpjyK0o_s6I5wDbQ2HgyEdWHrTN8Cu3hD40ea9myzv5DVp1jlAOxoz3PfHr31NOy95UeeeXvUfimFfS6Tbbl0fHLFilAJL8E41YhLqIpRWR9wPDAfZAAPGghZgEXJIY_0oCRLp-ZCENrAY940QbD2O677xnHbxMplIBymsEOrkJRElQAhaY2YTOok8_CGIeGzQpK2RndKP6jFXzFCVNrJzukKnK-d05dfIeulpVQTPs0LMgDAjiLywRnZL71ev_zC2XSxQ9fGTufsw7--xAs9xivE4k6v_MrpFpi4P2-rsuHO6RqadkbxRbJ1MjIYvsIGQZBRvZtvuE5yq2Rs |
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=Estimating+the+Baseline+Error+of+Wide-Swath+Altimeters+Using+Nadir+Altimeters+via+Numerical+Simulation&rft.jtitle=%E4%B8%AD%E5%9B%BD%E6%B5%B7%E6%B4%8B%E5%A4%A7%E5%AD%A6%E5%AD%A6%E6%8A%A5%EF%BC%88%E8%87%AA%E7%84%B6%E7%A7%91%E5%AD%A6%E8%8B%B1%E6%96%87%E7%89%88%EF%BC%89&rft.au=MIAO+Xiangying&rft.au=JIA+Yongjun&rft.au=LIN+Mingsen&rft.au=MIAO+Hongli&rft.date=2022-06-01&rft.pub=College+of+Information+Science+and+Engineering%2COcean+University+of+China%2CQingdao+266100%2CChina%25National+Satellite+Ocean+Application+Service%28NSOAS%29%2CBeijing+100081%2CChina&rft.issn=1672-5182&rft.eissn=1993-5021&rft.volume=21&rft.issue=3&rft.spage=681&rft.epage=693&rft_id=info:doi/10.1007%2Fs11802-022-4434-3&rft.externalDocID=qdhydxxb_e202203017 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fqdhydxxb-e%2Fqdhydxxb-e.jpg |