The effect of the noise, spatial distribution, and interpolation of ground gravity data on uncertainties of estimated geoidal heights

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952647" target="_blank" >RIV/49777513:23520/18:43952647 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/content/pdf/10.1007%2Fs11200-018-1013-6.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2Fs11200-018-1013-6.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11200-018-1013-6" target="_blank" >10.1007/s11200-018-1013-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The effect of the noise, spatial distribution, and interpolation of ground gravity data on uncertainties of estimated geoidal heights

Popis výsledku v původním jazyce

The uncertainties of the geoidal heights estimated from ground gravity data caused by their spatial distribution and noise are investigated in this study. To test these effects, the geoidal heights are estimated from synthetic ground gravity data using the Stokes-Helmert approach. Five different magnitudes of the random noise in ground gravity data and three types of their spatial distribution are considered in the study, namely grid, semi-grid and random. The noise propagation is estimated for the two major computational steps of the Stokes-Helmert approach, i.e., the downward continuation of ground gravity and Stokes’s integration. Numerical results show that in order to achieve the geoid accurate to one centimetre, the ground gravity data should be distributed on the grid or semi-grid with the average angular distance less than 2 arc-min. If they are randomly distributed (scattered gravity points), the one-centimetre geoid cannot be estimated if the average angular distance between scattered gravity points is larger than 1 arc-min. Besides, the noise of the gravity data for the tree types of their spatial distribution should be below 1 mGal to estimate the one-centimetre geoid. The advantage of interpolating scattered gravity points onto the regular grid, rather than using them directly, is also investigated in this study. Numerical test shows that it is always worth interpolating the scattered points to the regular grid except if the scattered gravity points are sparser than 5 arc-min.

Název v anglickém jazyce

The effect of the noise, spatial distribution, and interpolation of ground gravity data on uncertainties of estimated geoidal heights

Popis výsledku anglicky

The uncertainties of the geoidal heights estimated from ground gravity data caused by their spatial distribution and noise are investigated in this study. To test these effects, the geoidal heights are estimated from synthetic ground gravity data using the Stokes-Helmert approach. Five different magnitudes of the random noise in ground gravity data and three types of their spatial distribution are considered in the study, namely grid, semi-grid and random. The noise propagation is estimated for the two major computational steps of the Stokes-Helmert approach, i.e., the downward continuation of ground gravity and Stokes’s integration. Numerical results show that in order to achieve the geoid accurate to one centimetre, the ground gravity data should be distributed on the grid or semi-grid with the average angular distance less than 2 arc-min. If they are randomly distributed (scattered gravity points), the one-centimetre geoid cannot be estimated if the average angular distance between scattered gravity points is larger than 1 arc-min. Besides, the noise of the gravity data for the tree types of their spatial distribution should be below 1 mGal to estimate the one-centimetre geoid. The advantage of interpolating scattered gravity points onto the regular grid, rather than using them directly, is also investigated in this study. Numerical test shows that it is always worth interpolating the scattered points to the regular grid except if the scattered gravity points are sparser than 5 arc-min.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/GA18-06943S" target="_blank" >GA18-06943S: Teorie zpracování gradientů geopotenciálu vyšších řádů a jejich použití v geodézii</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Studia Geophysica et Geodaetica

ISSN

0039-3169

e-ISSN

1573-1626

Svazek periodika

63

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

21

Strana od-do

34-54

Kód UT WoS článku

000459512900002

EID výsledku v databázi Scopus

2-s2.0-85058858355