HR: 1340h
AN: G33A-0026 [Abstracts]
TI: Improvement of Tidal Analysis Results by a Priori Rain Fall Modelling at the Vienna and Membach
stations
AU: Meurers, B
EM: bruno.meurers@univie.ac.at
AF: University of Vienna, Althanstrasse 14, Vienna, 1090
Austria
AU: * Van Camp, M
EM: mvc@oma.be
AF: Royal Observatory of Belgium, Avenue Circulaire, 3, Brussels, 1180
Belgium
AU: Petermans, T
EM: toon.petermans@oma.be
AF: Royal Observatory of Belgium, Avenue Circulaire, 3, Brussels, 1180
Belgium
AB:
We investigate how far tidal analysis results can be improved when a rain fall admittance model is applied on the
superconducting gravity (SG) data. For that purpose both Vienna and Membach data have been analysed with and without a priori
rain fall correction.
In Membach the residual drop for most events (80%) can be explained by the rain water load, while in Vienna only 50% of all
events fit the model in detail. In the other cases the Newtonian effect of vertical air mass redistribution (vertical
density variation without air pressure change), predominantly connected with high vertical convection activity, e.g.
thunderstorms, plays an essential role: short-term atmospheric signals show up steep gravity residual decreases of a few
nms-2 within 10 - 60 min, well correlated with outdoor air temperature in most cases. However, even in those cases the
water load model is able to explain the dominating part of the residual drop especially during heavy rain fall. In Vienna
more than 110 events have been detected over 10 years. 84% of them are associated with heavy rain starting at or up to 10
min later than the residual drop while the rest (16%) shows no or only little rainfall.
The magnitude of the gravity drop depends on the total amount of rainfall accumulated during the meteorological event.
Step like signals deteriorate the frequency spectrum estimates. This even holds for tidal analysis. As the drops are of
physical origin, they should not be eliminated blindly but corrected using water load modeling constrained by high temporal
resolution (1 min) rain data.
3D modeling of the water mass load due to a rain event is based on the following assumptions:
(1) Rain water intrudes into the uppermost soil layer (close to the topography surface) and remains there at least until rain
has stopped. This is justified for a period of some hours after the rainfall as evapotranspiration is not yet effective. (2)
No run-off except of sealed areas or building roofs, where water can not intrude into the soil but will drain off into the
sewage water system instead. (3) Rainfall is equal everywhere in the station surroundings. (4) No surface deformation due to
the water mass load
Correcting for rain fall effects reduces by about 10% the standard deviation of the residuals after tidal parameter
adjustment. Amplitude factor changes are in the order of 10-3 or less, phase lags change by 10-3 to 10-2:
statistically, these variations are not significant as they lie within the error bars. However, it is worth noting that the
amplitude factors of tidal constituents with high amplitude (O1, P1, K1) and even Ψ1 and Φ1 show similar variations
in Vienna and Membach. Generally the tidal parameter variation is less in the SD than in the D band.
DE: 1200 GEODESY AND GRAVITY
DE: 1217 Time variable gravity (7223, 7230)
DE: 1223 Ocean/Earth/atmosphere/hydrosphere/cryosphere interactions (0762, 1218, 3319, 4550)
SC: Geodesy [G]
MN: Fall Meeting 2005