How do we know climate change is linked to CO2 in the atmosphere?
A carbon footprint is a measure of the impact our activities have on the environment, and in particular climate change. It relates to the amount of greenhouse gases produced in our day-to-day lives through burning fossil fuels for electricity, heating and transportation etc. The carbon footprint is a measurement of all greenhouse gases we individually produce and has units of tonnes (or kg) of carbon dioxide equivalent.
Read MoreIs this an unexplored solution to energy conservation?
Rather than pour all our money into energy exploration, new energy sources, technology, etc.; is it cheaper to make us all able to see in the dark? We have night vision technology, and medical and genetic technology has increased substantially over the past few years. Has anyone done any experimentation with lab rats to see if they can be altered to be able to see in the dark? Would this be cost effective if, rather than light the planet, we could get everyone to see in the dark. Yes, this sounds ridiculous, but the goals required to achieve energy conservation, and reduce greenhouse gases are pretty much in the air still. Is this probable?
Read MoreWhat is global warming and the greenhouse effect?
I need help with my project please help.
What is the greenhouse effect?
List three greenhouse gases.
List three facts about global warming.
List three uncertainties about global warming.
What’s your opinion? Is global warming a real threat or are there more important environmental issues to resolve?
Please don’t be silly.
I truly need help with my project.
How Can Climate Decades into the Future be Predicted When Weather Forecasts Beyond 3 Days Are Unreliable?
Weather forecasting is an initial conditions problem. Climate forecasting is a boundary condition problem.
Initial condition that define the current state of the atmosphere are updated with every iteration of a forecast model. Beyond the first set, the initial conditions for each successive iteration are based on the output of the model and could be in error. These errors accumulate with each future iteration and the weather forecast skill deteriorates with time.
Measured initial conditions are therefore useless to climate prediction models, which are weather forecast models adapted for assessing climate change.
Rather than initial conditions, boundary conditions are described:
"Climate forecasts are produced in a different fashion, as here the problem is fundamentally a boundary value one. The circulation of atmosphere and ocean in such a climate model is not dependent on the initial state of the model but rather on the boundary conditions like the input of solar energy and the chemical composition of the Earth’s atmosphere (e.g. greenhouse gases). You cannot predict the weather for individual days with a climate forecast (for example, the question of the temperature in Hamburg on the 23.12.2005 is meaningless), but you can say something about the average conditions for an area (e.g. the average January temperature between 2010 and 2020), as well as the probability and magnitudes of deviations from this average."
In other words, the little unknowable details are less valuable in a predictive sense than are large scale parameters confined to within a range of likely variability when assessing climate change.
Any comment?
http://www.mpimet.mpg.de/en/presse/faqs/wie-kann-man-klimaveraenderungen-vorhersagen.html
pegminer,
This question often comes up, so I thought I would ask it and provide my own insight in the process. I answered my own question and welcomed others to answer as well.
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