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News and simulation app on modeling and prediction of global warming and related problems through self-organizing knowledge extraction from public data

Global Warming Prediction

by KnowledgeMiner Software

What is it about?

News and simulation app on modeling and prediction of global warming and related problems through self-organizing knowledge extraction from public data. It shows forecasts of land air and sea surface temperatures of nine latitudinal bands several months and years ahead, predicts Ozone concentration, Aerosols, Radiative Cloud Fraction, Sun Activity, it discusses and analyzes "What Drives Global Warming?", or it simulates and predicts the Oil price from energy consumption and Oil reserves. The results will be updated and archived as new data are available, and former predictions and trends can be compared with actual data. It is also possible to download modeling software, data and results as MS Excel documents.

App Details

Version
2.7.1
Rating
(3)
Size
16Mb
Genre
News Weather
Last updated
November 27, 2017
Release date
June 10, 2010
More info

App Screenshots

App Store Description

News and simulation app on modeling and prediction of global warming and related problems through self-organizing knowledge extraction from public data. It shows forecasts of land air and sea surface temperatures of nine latitudinal bands several months and years ahead, predicts Ozone concentration, Aerosols, Radiative Cloud Fraction, Sun Activity, it discusses and analyzes "What Drives Global Warming?", or it simulates and predicts the Oil price from energy consumption and Oil reserves. The results will be updated and archived as new data are available, and former predictions and trends can be compared with actual data. It is also possible to download modeling software, data and results as MS Excel documents.

Although we use the terms Climate Change and Global Warming as well known and well established names for the problem, this project is impartial and has no hidden personal, financial, political or other interests. It is entirely independent, transparent, and open in results.

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