Deegree wrote:
You have a reading comprehension problem and you are being unnecessarily insulting. I have been civil and respectful.
Read my post again. I never said a blanket statement that quantifying the relative role of humans is not happening. I asked why there isn't MORE research in that field.
This is the problem with some of you anthropogenic clkmate change supporters. Someone (me) asks a valid question in order to educate themselves more on the subject, and you attack them and call them names. It is crazy. You sound like an extreme intolerant religious cult.
You're absolutely right -- my apologies for being combative. Firstly, it's frustrating to have one's field of work challenged frequently, all the while other branches of science are rarely critiqued (likely due to the seeding of doubt by paid politicians). Secondly, it's difficult to read text on a web page and not know if it is snarky or not. I'm so used to people asking rhetorically, "why don't you study the relative impacts of humans, huh?" but not in an inquisitive manner.
So to answer your question more honestly, there is a lot of work being done in that direction these days. It takes shaky statistics to take an existing observational time series and decompose it into the relative influence of humans and nature. The least we can do is look at thresholds, i.e. mega-droughts becoming more frequent, setting record breaking temperatures, and so forth. At the very least, we know that CO2 levels are much higher than that of hundreds of thousands of years and it is directly due to human emissions (as well as deforestation). The impacts of heightened CO2 levels are rather nonlinear and random, so that's what we focus on trying to better understand. By observationally understanding the physics of the climate system in the present, we can forecast future impacts.
One way to directly partition the impacts of humans and nature is to use climate models. We construct these models with the fundamental physical equations of nature (coined the 'primitive equations'). They're differential equations, so they describe rates of change based on the present state of the system. These equations, for instance, include conservation of momentum and conservation of mass.
Weather models operate in a similar sense, but are only constructed to make more precise short-term forecasts. Both weather and climate models can simulate fluid flow (atmosphere and oceans) based on the initial conditions (starting data, usually gathered from global observations and interpolation) which helps us to forecast the future.
There are some technical ways to use climate models to isolate the relative impact of natural oscillations that the models simulate from the influence of cranking up CO2 concentrations in the atmosphere in the model (which simulates human emissions). I work in this area. We zoom in on areas, and use many different models and CO2 pathways to partition natural and human impacts. We can compare the magnitude of this random variability to the change over time (trend) superimposed by humans. This is a way to forecast the year in which we expect human impacts to be 'felt' by the system no matter what the random background noise does. For different regions, processes, etc. this differs totally. The Arctic will be hit much sooner than the mid-latitudes for instance, due to the sensitivity of sea ice. Global temperatures will raise much more quickly than changes to global precipitation patterns due to its noisiness.
Folks are skeptical of models, but they're actually really beautiful tools that can be used for a number of things. Just one 'experiment' we run on them is increasing CO2 emissions, to validate the experiment humans have been doing in the real world. We can force the primitive model with just about anything we wanted. They've even been used in the past to simulate the influence of huge volcanic eruptions or nuclear warfare.