Is sea level really an issue?

Normalised sea level and temperature

This is likely to be controversial and dismissed by some as invalid, which is their problem.

The RSS data is monthly.

Topex/Jason data is sampled roughly every 10 days, processed into monthly and then normalised to the RSS data.

Both month data were low pass filtered at 10 years, with end correction. This is likely to be dismissed as impossible, look, it is self evidently about right.

All four are plotted above.

Other work has suggested there is a correlation between temperature and sea level, sea level lagging perhaps 4 years. (I doubt many people think that sea level causes temperature)

The actual sea level rises being talked about are extremely small relative to the size of the planet.

What if the top few x metres of sea water are warmed by 0.2K?

RSS dataset update v3.2 to v3.3

So what is the difference?

Visually rendering shows a cleaner result, presumably a reduction in artefacts from the close to the knuckle high frequency response.

Not worked on time series.

Here we are for December 2010 (no old data version of Jan 2011)

December 2010 V3.2

December 2010 V3.3

Most accurate global temperature?

Further work on the satellite global monthly both RSS and UAH produces

Click for full size.

This is the most accurate I can do at the moment.

A discovery was a time offset for the residual annual cycle and harmonics for both datasets, an unexpected and strange effect. Why? It ought to be centred on exactly one year.

I am nervous about allowing for this without knowing what is going on. Perhaps it is an artefact of the quantised satellite orbit mismatching orbital period. (is about 0.97 year instead of 1)

I’ve used datasets computed here from gridded because this avoids the Shannon limitation in the published data. (doubt it makes a material difference)

Data, intermediates, full explanations, ask.