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Surabaya, Jawa Timur

Period
01 Jan 202601 Agu 2026212 days
Datum
Nol sensor stasiun (bukan MSL)
gaps
7891 jam
Source
IOC Sea Level Station Monitoring Facility (UNESCO/IOC & VLIZ)
Source, licence and datum notes

Licence: Akses terbuka dengan kewajiban sitasi (VLIZ/IOC, DOI 10.14284/482)

Flanders Marine Institute (VLIZ); Intergovernmental Oceanographic Commission (IOC) (2026): Sea level station monitoring facility. https://www.ioc-sealevelmonitoring.org — DOI 10.14284/482

Not for navigationThe official Indonesian tide tables are published by Pushidrosal.

Methods

Method comparison

The same record, two classical methods. Least squares solves every constituent jointly; Admiralty projects them one at a time and infers the rest from fixed ratios.

Residual RMS — Least squares

0.1064m

Residual RMS — Admiralty

0.1120m

Condition number κ — Least squares

1.52

Least squares compared with Admiralty
ConstituentH — Least squaresH — AdmiraltyDifference Hg — Least squaresg — AdmiraltyDifference gDetermination
K10.47550.4906-0.015124.326.0-1.6Direct
M20.37690.3794-0.0025119.0119.7-0.8Direct
O10.27070.2831-0.0124347.7347.30.4Direct
S20.22420.2255-0.0013129.6132.1-2.5Direct
P10.13080.1624-0.031625.226.0-0.8Inferred
N20.07310.06720.0058106.296.59.7Direct
K20.07050.06090.0096125.8132.1-6.2Inferred
MS40.02130.02090.0005200.6203.7-3.1Direct
M40.02100.0212-0.0002198.8199.2-0.4Direct

Admiralty infers K2, P1 from its neighbours through fixed ratios rather than solving for them. Least squares solves every constituent jointly and so accounts for the correlation between neighbours; that is the only fundamental difference between the two here.

The Admiralty implementation here is its projection-and-inference scheme, not a reproduction of the printed NP 159 tabulation and its filtering multipliers.