Critique of “Testing the robustness of semi-empirical sea level projections,” By Rahmstorf, et. al.

Rahmstorf attempts to shore up his tottering model linking sea level rise to global temperature by claiming it is “robust.”  That is, a variety of different 20th century sea level inputs yield similar sea level rise projections for the 21st century.  But it turns out to be smoke and mirrors.

This is a critique of Rahmstorf, S., et. al., “Testing the robustness of semi-empirical sea level projections” Climate Dynamics, 2011

New parts will be added periodically.

Part 1. Introduction

Part 2. Quadratic Fits of Laughter.  Rahmstorf, et. al., imply that several different sources of sea level data tell essentially the same story for the 20th century.  They hilariously overlay a concave up quadratic fit of one data source on all the others, even though some of the others are actually concave down.

Part 3.  New code for putting Rahmstorf to the test.   LabView source code for consistent processing of temperature and sea level data according to the predominant Vermeer and Rahmstorf 2009 mode, data smoothing method, and a description of how code results will be presented.  This code allows me (or you) to run that Rahmstorf model with any desired 20th century input data.

Part 3.5 A Library of data for testing “robustness” of Rahmstorf models.   20th century (and earlier) data for temperature, sea level, reservoir storage, and ground water depletion in the proper format to work in mu LabView implementation of the Rahmstorf model.

Part 4.  First results from code demonstrating output format.

Part 5.  What does Rahmstorf mean when he says his model linking sea level to temperature is “robust?”

Part 6.  What happens when Simon Holgate’s 20th century sea level data inserted into Rahmstorf’s model?


One comment

  1. I need to to thank you for this excellent read!!

    I definitely enjoyed every little bit of it.
    I’ve got you bookmarked to look at new things you

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