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Ambon, Maluku

Period
01 Jan 202601 Agu 2026212 days
Datum
Nol sensor stasiun (bukan MSL)
gaps
1938 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

0.1580m

Residual RMS — Admiralty

0.1607m

Condition number κ — Least squares

1.52

Least squares compared with Admiralty
ConstituentH — Least squaresH — AdmiraltyDifference Hg — Least squaresg — AdmiraltyDifference gDetermination
M20.50460.50380.0009140.1140.8-0.7Direct
K10.30730.3178-0.010511.413.4-2.0Direct
O10.22620.2312-0.0050354.1353.01.1Direct
S20.15300.15270.0003213.4213.20.2Direct
N20.09950.09850.0011111.3101.010.2Direct
P10.09020.1052-0.0150360.013.4-13.4Inferred
K20.04730.04120.0061199.6213.2-13.6Inferred
M40.00440.0056-0.0012357.88.0-10.2Direct
MS40.00260.00220.000374.975.4-0.5Direct

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.