CENDERING

Station summaryKUAL

Showing all stations within 1000 km of the observed station Active station No data for 30 days Decommissioned No observations in SONEL (Survey) Not co-located with observed station
Showing all stations within 1000 km of the observed station Available data / Station OK Available data / Problem(s) detected Does not work No longer exists Foreign partner management Not co-located with observed station
Showing all stations within 1000 km of the observed station Co-located with observed station Not co-located with observed station
  • More informations on each symbol.
  • GPS
    Tide Gauge
    DORIS
IGS-type acronym : KUAL
Latitude : 5.31890207
Longitude : 103.13913570
Installed date : 2007-05-28
Decommissioned date :
Country : MALAYSIA
City : CENDERING
Station status : No data for 30 days (orange)
Distance to Tide Gauge (m) : 8085
Domes Nr.: 22707M001
Station operator: (JUPEM) - Department of Survey and Mapping Malaysia
IGS-like station form :

GPS position times seriesKUAL



Position
(Reference epoch: )




Offsets (mm)
MMaterial change or malfunction
EEarthquake
RFReference Frame change
UUnknown
NANot available
Position discontinuity
Velocity discontinuity
     
   
Vertical component
   
East component
   
North Component


Data available at SONELKUAL



Quality plots on RINEX filesKUAL

Quality plots on RINEX files of KUAL Quality plots on RINEX files of KUAL Royal Observatory of Belgium

Plots generated using software developed with the EPN team at ROB
Observations & tracking performance Satellite tracking

informations (this operation may take 20 to 45s)

The satellite tracking graph has been calculated for all stations for the first day of each month. If you wish to have a graph for another date, choose the 'Calculate a specific date' option.

Comparison with satellite altimetry data

Co-located instrumentsKUAL

Photo albumKUAL

BibliographyKUAL

If you have a relevant reference to suggest, please send-us an e-mail : sonel@sonel.org
  • puce Yanguang-Fu, Xinghua-Zhou et al., 2019. Estimation of sea level variability in the South China Sea from satellite altimetry and tide gauge data. Advances in Space Research. Get this reference BibTeX of the reference