Papers.

A New View on What Drives Climate on Earth in the Long Run.


 

The destruction of the city of Akkad by a cosmic asteroid impact and the link to global climate change

By Joachim Seifert and Frank Lemke
Published on: May 15, 2013   (15 pages)


Full Paper

Paywall: $3.50 or 3€

media: image (1020 x 560 px) download

  Abstract
We focus on one of the most important events in human history, the 4.2 kiloyear event, when great civilizations around the world collapsed into anarchy and social chaos. From this moment on, climate cooling and widespread aridification began, lowering agricultural food production and human living conditions. Various hypotheses exist about its cause; the most promising approach links the 4.2 kiloyear event to a cosmic asteroid crash into Mesopotamia. The asteroid landed in a densely populated area; we examine at first major translations of preserved Sumerian documents on details and progression of this catastrophic event. We quote major impact features as observed by historical Sumerian eyewitnesses. The impact, as a full strike, eradicated the Imperial city of Akkad. The impact damaged all other Sumerian towns to different degrees. Based on our findings, we identify the location of the missing city of Akkad. We analyze the onset of global cooling and severe aridification in the framework of our cosmic climate footprint analysis for a selected 1,000 year timeframe. This footprint analysis of Holocene climate change affirms the occurrence and date of the impact event. We also identify volcanic mega-eruptions, which are responsible for multi-decadal global temperature dips but which cannot cause centennial-long climate changes. The footprint analysis takes 5 climate macroforcings into account and explains global cooling and aridification based on impact-related causes.


 

Five climate-forcing mechanisms govern 20,000 years of climate change

By Joachim Seifert and Frank Lemke
Published on: October 8, 2012   (18 pages)

Explore
Read Summary


Full Paper

Paywall: $40 or 30€

media: image (1120 x 730 px) download

  Abstract
We identify five macro-climatic mechanisms in our study that govern a long time span of 20,000 years. The state of the art in climate-forcing mechanism analysis is that presently available General Circulation Models (GCMs) underperform substantially in terms of predictive power. It is evaluated in the literature that all GCMs perform well for the first 500 years backwards from the present, but then lack skill for the previous 9,500 Holocene years. It is critical for climate models, however, that they also show their validity on time frames of more than 1,000 years.

The presented climate-forcing study proceeds with the selection of 10,000 years of the entire Holocene interglacial and, for comparison, of another 10,000 years of a purely glacial time span (37,000-27,000 BP) from the GISP2 data. It considers the effects of Milankovitch cycles, atmospheric CO2-concentrations, Solar Inertial Motions (SIM), the retrograde tri-synodic Jupiter/Saturn cycle, and of two major mechanisms, the Earth Orbit Oscillation (EOO) and the Cosmic Impact Oscillation (CIO). Detailed mechanisms for both oscillations are provided; their calculation methods are pointed out.

Concluding the study, we zoom in onto EOO and CIO forcing of the past 3,000 years and provide an outlook onto forcing mechanisms, which are expected to act within the future 500 years. The GISP2 proxy temperature curve and macro-forcing mechanisms are compared to the Hockey Stick temperature evolution pattern.

Details of demonstrated astro-climatic relations are as of today, 2012, new and original climate change knowledge. The IPCC has not been able to provide supplementary data on cycle mechanics. The identification of 5 macro-climatic drivers, missing in current GCMs, unmistakably proves that climate science is not settled yet. One missing driver may be excused, but not five. The notion of "The science is settled", upheld since the days of Galileo, is a spiritual relict of the past. All GCMs will be rectified soon.


 

Prediction of Monthly Global Temperatures until 2017 by a Dynamic System Model.

The power of self-organizing knowledge mining applied to climate modeling.
Published: October 2011, observed data and prediction accuracy are updated periodically. (last update December 2013)


Abstract
This model describes a non-linear dynamic system of the atmosphere consisting of 5 variables: Ozone concentration, aerosol index, radiative cloud fraction, and global mean temperature as endogenous variables and sun activity as exogenous variable of the system. More...

© 2012 - 2014 KnowledgeMiner Software
Unique Self-organizing Modeling and Forecasting   |   Contact Us