Volta

On the uncertainty of height anomaly differences predicted by least-squares collocation

Unknown authors · 2020
hash_id: d822ec4ed749bb4a1e70c904c17ab95810b8d162883d243478829d22e27f39ee · DOI: 10.1515/jogs-2020-0111

Abstract A network of pointwise available height anomalies, derived from levelling and GPS observations, can be densified by adjusting a gravimetric quasigeoid using least-squares collocation. The resulting type of Corrector Surface Model (CSM) is applied by Norwegian surveyors to convert ellipsoidal heights to normal heights expressed in the official height system NN2000. In this work, the uncertainty related to the use of a CSM to predict differences in height anomaly was sought. As previously, the application of variograms to determine the local statistical properties of the adopted collocation model led to predictions that were consistent with their computed uncertainties. For the purpose of predicting height anomaly differences, the effect of collocation was seen to be moderate in general for the …

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Cited by (3)

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