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Semarang, Jawa Tengah

Period
01 Jan 202601 Agu 2026212 days
Datum
Nol sensor stasiun (bukan MSL)
gaps
3642 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

0.1751m

Residual RMS — Admiralty

0.1768m

Condition number κ — Least squares

1.52

Least squares compared with Admiralty
ConstituentH — Least squaresH — AdmiraltyDifference Hg — Least squaresg — AdmiraltyDifference gDetermination
K10.21230.2164-0.004167.969.7-1.8Direct
M20.09530.09460.000758.859.1-0.2Direct
S20.07570.07010.0056307.1309.9-2.8Direct
P10.07280.07160.001182.769.713.0Inferred
O10.06090.0629-0.0020316.4321.6-5.2Direct
N20.03850.03820.000427.322.94.4Direct
K20.03300.01890.0141347.5309.937.6Inferred
MS40.00450.0045-0.0000169.2172.6-3.4Direct
M40.00410.0045-0.0004123.1126.8-3.8Direct

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.