Desmoothing of averaged periodical signals for geodetic applications

Földváry, Lóránt

doi:10.1093/gji/ggv092

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…where a is bias, b is trend, c and d are annual and semi-annual amplitudes, φ c and φ d are annual and semi-annual phases, ω annual = 1 and ω semi-annual = 1/2 correspond to annual and semi-annual variations and t is the actual date. The 1/sinc multipliers in equation 2are applied to restore the temporal averaging of the GRACE measurements (Földváry, 2015).…”

Section: Resultsmentioning

confidence: 99%

Comparison of seasonal hydrologic variations in the La Plata basin from GRACE monthly solutions with in situ gauge water level data

Kiss¹

2016

Acta Geodynamica Et Geomaterialia

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Seasonal hydrologic variations have been determined in the La Plata basin from GRACE monthly solutions for a time span of less than 6 years. The results have been compared to tide gauge water level data along several rivers of the La Plata basin. Annual and semi-annual curves have been fitted both to the GRACE water storage variation series and to the tide gauge water level series, correlations between the original series and the curves have been determined, relationship of the amplitudes and phases have been investigated. The aim of the comparison is to detect time delay between the seasonal cycle of precipitation (related to GRACE) and runoff (observed by tide gauges). The time delay may deliver information on water storage, such as groundwater aquifers, soil moisture or canopy interception. As for the results, by the comparison of the annual phases, 11-13 days of time delay between GRACE data and tide gauge data has been detected.

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Section: Resultsmentioning

confidence: 99%

Comparison of seasonal hydrologic variations in the La Plata basin from GRACE monthly solutions with in situ gauge water level data

Kiss¹

2016

Acta Geodynamica Et Geomaterialia

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“…Using ( 14) and (29), the maximal L1-norm sampling error becomes 2.27%, while the maximal L2-norm error is 2.49%. According to Földváry (2015), the annual amplitude is underestimated due to the averaging over the sampling period by 1.15%, thus the effect of the sampling error exceeds this phenomenon. Nevertheless, the GRACE and GRACE-FO models notably scatter from the annual characteristics (c.f.…”

Section: Example In the Time Domain: Grace Monthly Solutionsmentioning

confidence: 99%

Sampling Error of Continuous Periodic Data and its Application for Geodesy

Földváry

2021

Preprint

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Data acquisition for geoinformatics cannot be done continuously, but by discrete sampling of the object or phenomenon. The sampling involves errors on the knowledge of the continuous signal due to the loss of information in the sampling procedure. In the present study, an analytical formulation of the sampling error is provided, which embodies the amplitude, phase, bias and periodicity of the sampling error. The analysis is then subsequently applied for case studies: for the GRACE and GRACE-FO monthly solutions, and for different realizations of the Hungarian Gravimetric Network.

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“…The linear trend is described by parameter C, the acceleration (or trend rate) is described by coefficient D while the coefficient E is the bias of the mass trend time series. According to Földváry (2015), due to the temporal averaging of the monthly solutions, Eq. (2) underestimates the amplitude of the periodical terms, so the adequate formula for periodic estimations should contain a sinc(1/12) and a sinc(1/6) multiplier for the annual and for the semi-annual terms, respectively (Földváry 2012).…”

Section: Trend and Trend Rate Estimationmentioning

confidence: 99%

Uncertainty of GRACE-borne long periodic and secular ice mass variations in Antarctica

Kiss

Földváry

2016

Acta Geod Geophys

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Glacial ice mass balance of Antarctica can be observed by the twin satellites of the gravity recovery and climate experiment (GRACE). The gravity fields with monthly resolution enable efficient detection of annual, long periodic and secular variations. The present study delivers an error estimation of the long-periodic and secular variations by determining the linear trend of the observed surface mass anomaly series. Among the error sources, the error of the timing of the trend fitting, the error of the glacial isostatic adjustment correction, and the error of the atmospheric correction of the GRACE monthly solutions are discussed. The investigation concludes that apart from West Antarctica, Wilkes Land, Queen Maud Land and Enderby Land no reliable trend estimates of ice mass variation can be expected, thus any results should be treated with care.

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Desmoothing of averaged periodical signals for geodetic applications

Cited by 7 publications

References 14 publications

Comparison of seasonal hydrologic variations in the La Plata basin from GRACE monthly solutions with in situ gauge water level data

Comparison of seasonal hydrologic variations in the La Plata basin from GRACE monthly solutions with in situ gauge water level data

Sampling Error of Continuous Periodic Data and its Application for Geodesy

Uncertainty of GRACE-borne long periodic and secular ice mass variations in Antarctica

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