FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2472957266> ?p ?o ?g. }

• W2472957266 endingPage "1221" @default.
• W2472957266 startingPage "1207" @default.
• W2472957266 abstract "There has been considerable research in the literature focused on computing and forecasting sea-level changes in terms of constant trends or rates. The Antarctic ice sheet is one of the main contributors to sea-level change with highly uncertain rates of glacial thinning and accumulation. Geodetic observing systems such as the Gravity Recovery and Climate Experiment (GRACE) and the Global Positioning System (GPS) are routinely used to estimate these trends. In an effort to improve the accuracy and reliability of these trends, this study investigates a technique that allows the estimated rates, along with co-estimated seasonal components, to vary in time. For this, state space models are defined and then solved by a Kalman filter (KF). The reliable estimation of noise parameters is one of the main problems encountered when using a KF approach, which is solved by numerically optimizing likelihood. Since the optimization problem is non-convex, it is challenging to find an optimal solution. To address this issue, we limited the parameter search space using classical least-squares adjustment (LSA). In this context, we also tested the usage of inequality constraints by directly verifying whether they are supported by the data. The suggested technique for time-series analysis is expanded to classify and handle time-correlated observational noise within the state space framework. The performance of the method is demonstrated using GRACE and GPS data at the CAS1 station located in East Antarctica and compared to commonly used LSA. The results suggest that the outlined technique allows for more reliable trend estimates, as well as for more physically valuable interpretations, while validating independent observing systems." @default.
• W2472957266 created "2016-07-22" @default.
• W2472957266 creator A5000057095 @default.
• W2472957266 creator A5013539173 @default.
• W2472957266 creator A5021060690 @default.
• W2472957266 creator A5040259492 @default.
• W2472957266 creator A5089513716 @default.
• W2472957266 date "2016-06-03" @default.
• W2472957266 modified "2023-10-16" @default.
• W2472957266 title "An approach for estimating time-variable rates from geodetic time series" @default.
• W2472957266 cites W1656975140 @default.
• W2472957266 cites W1964491347 @default.
• W2472957266 cites W1971536112 @default.
• W2472957266 cites W1972228559 @default.
• W2472957266 cites W2018461287 @default.
• W2472957266 cites W2019841176 @default.
• W2472957266 cites W2037175390 @default.
• W2472957266 cites W2038490935 @default.
• W2472957266 cites W2053692638 @default.
• W2472957266 cites W2067878897 @default.
• W2472957266 cites W2074699568 @default.
• W2472957266 cites W2081327240 @default.
• W2472957266 cites W2087424969 @default.
• W2472957266 cites W2102669792 @default.
• W2472957266 cites W2108434249 @default.
• W2472957266 cites W2111391327 @default.
• W2472957266 cites W2114619773 @default.
• W2472957266 cites W2125705983 @default.
• W2472957266 cites W2135611141 @default.
• W2472957266 cites W2144496226 @default.
• W2472957266 cites W2156567817 @default.
• W2472957266 cites W2159614822 @default.
• W2472957266 cites W2164569526 @default.
• W2472957266 cites W2165704207 @default.
• W2472957266 cites W2171612575 @default.
• W2472957266 cites W2301746362 @default.
• W2472957266 cites W4231057675 @default.
• W2472957266 cites W4250589301 @default.
• W2472957266 doi "https://doi.org/10.1007/s00190-016-0918-5" @default.
• W2472957266 hasPublicationYear "2016" @default.
• W2472957266 type Work @default.
• W2472957266 sameAs 2472957266 @default.
• W2472957266 citedByCount "30" @default.
• W2472957266 countsByYear W24729572662016 @default.
• W2472957266 countsByYear W24729572662017 @default.
• W2472957266 countsByYear W24729572662018 @default.
• W2472957266 countsByYear W24729572662019 @default.
• W2472957266 countsByYear W24729572662020 @default.
• W2472957266 countsByYear W24729572662021 @default.
• W2472957266 countsByYear W24729572662022 @default.
• W2472957266 countsByYear W24729572662023 @default.
• W2472957266 crossrefType "journal-article" @default.
• W2472957266 hasAuthorship W2472957266A5000057095 @default.
• W2472957266 hasAuthorship W2472957266A5013539173 @default.
• W2472957266 hasAuthorship W2472957266A5021060690 @default.
• W2472957266 hasAuthorship W2472957266A5040259492 @default.
• W2472957266 hasAuthorship W2472957266A5089513716 @default.
• W2472957266 hasBestOaLocation W24729572661 @default.
• W2472957266 hasConcept C115961682 @default.
• W2472957266 hasConcept C127313418 @default.
• W2472957266 hasConcept C13280743 @default.
• W2472957266 hasConcept C143724316 @default.
• W2472957266 hasConcept C151730666 @default.
• W2472957266 hasConcept C154945302 @default.
• W2472957266 hasConcept C157286648 @default.
• W2472957266 hasConcept C2779343474 @default.
• W2472957266 hasConcept C41008148 @default.
• W2472957266 hasConcept C58754882 @default.
• W2472957266 hasConcept C60229501 @default.
• W2472957266 hasConcept C76155785 @default.
• W2472957266 hasConcept C99498987 @default.
• W2472957266 hasConceptScore W2472957266C115961682 @default.
• W2472957266 hasConceptScore W2472957266C127313418 @default.
• W2472957266 hasConceptScore W2472957266C13280743 @default.
• W2472957266 hasConceptScore W2472957266C143724316 @default.
• W2472957266 hasConceptScore W2472957266C151730666 @default.
• W2472957266 hasConceptScore W2472957266C154945302 @default.
• W2472957266 hasConceptScore W2472957266C157286648 @default.
• W2472957266 hasConceptScore W2472957266C2779343474 @default.
• W2472957266 hasConceptScore W2472957266C41008148 @default.
• W2472957266 hasConceptScore W2472957266C58754882 @default.
• W2472957266 hasConceptScore W2472957266C60229501 @default.
• W2472957266 hasConceptScore W2472957266C76155785 @default.
• W2472957266 hasConceptScore W2472957266C99498987 @default.
• W2472957266 hasFunder F4320321012 @default.
• W2472957266 hasIssue "11" @default.
• W2472957266 hasLocation W24729572661 @default.
• W2472957266 hasLocation W24729572662 @default.
• W2472957266 hasOpenAccess W2472957266 @default.
• W2472957266 hasPrimaryLocation W24729572661 @default.
• W2472957266 hasRelatedWork W1982102372 @default.
• W2472957266 hasRelatedWork W1989808455 @default.
• W2472957266 hasRelatedWork W2019057379 @default.
• W2472957266 hasRelatedWork W2028428095 @default.
• W2472957266 hasRelatedWork W2064668370 @default.
• W2472957266 hasRelatedWork W2366229771 @default.
• W2472957266 hasRelatedWork W2612515138 @default.
• W2472957266 hasRelatedWork W2949194655 @default.

• next