I believe we are warming, slightly, but the man made variable is not the whole story. I do not see how they can hold all the natural variables constant to isolate the manmade variables, since geological evidence shows natural is not static. We are still connected to a longe term warming trend from the last ice age. Water, alone has many extra tricks up its sleeve. Here is a new trick; altering atmospheric chemistry.
Most of the natural variables are known, fairly regular, and predictable, so their effects can be modeled. Irregular factors like ice ages are gradual enough that their effects can be tracked over decades/centuries, isolated from other variables, and factored in to the model.
Things like el niño or la niña are less predictable individually, but averaging over centuries can yield a usable pattern.
Sudden, upredictable events like volcanism or meteorite impacts leave clear geological footprints, so effects can be isolated from other variables and factored in.
Climatologists model and analyze these to understand which are doing what, just as a meteorologists models immediate local factors to make short range, local predictions.
Climate prediction is the more accurate, as it can average relevant factors over decades and centuries, and isn't perturbed by sudden local variation, as weather prediction is.
The patterns that have emerged show a massive and geologically explosive change, such as hasn't been seen since the Chicxulub impact, that can't be accounted for from the effects of any variable other than known, human activity.
They've also correlated fairly well to future forecasts using these data, though in hindsight predictions have usually proved
too conservative.
Yes, and these leave a clear footprint. We know what occurred and when, so purturbations from the non-event predictions can be attributed to it and added to the overall calculations.
A volcanic eruption sent enough water vapor into the stratosphere to cause a rapid change in chemistry - NOAA Research
Another set of natural events, that cycles is El Niño and La Niña. These have been recorded as far back as the 1600's. How many thought the record 2023 warming was due to greenhouse gases? Fake news is placing its thumb on the scale for manmade.
These are tiny, sort blips in the overall model. A single such event produces only a short-term variation, not the centuries long changes that cause climate change. Averaging them over decades smooths the overall climate trend.
One man made change, that may be causing the manmade bias, in science itself, is how climate data is collected. The first weather satellites were launched in the 1960's and 1970's. These bird's eye views of the earth gave a much broader view of the earth compare to the limited number of weather stations at that time. These now allow science to get an actual global average, based on everywhere, including the oceans and impenetrable forests. Ocean data use to be limited to ships and trade routes and not all the treacherous places. This could explain why the first early warning signs of global warming appeared with the rise of the age of satellites and genuine global data; 1970's. The classic weather data was showing a cooling trend.
Yes. satellite and remote monitoring technology has vastly improved since the '70s, but it's not the only way we discover and trace changes. Dendrochronology, palynology, stratigraphy with radiometrics, fossil deposition, coral and stromatolite growth, ice and &c earth core analysis, &al. are also useful.
When you look at the ancient past we also have data, but there are limitations such as where you can collect data. Ice core samples are useful but these occur where there is no life to fix CO2 and locally lower the CO2. Today we can get real time data.
True, but you can also get, seasonal, temperature, pollution, palynographic, and atmospheric gas data from ice cores too, and factor them in with the data from other sources, no?
Does anyone know if science is running parallel testing, using old timer methods; mercury thermometers and limited weather stations, and comparing this to the satellite data, to see how close these match?
As soon as data is collected, discrepancies are immediately apparent. If we don't figure out where they originate, the whole monitoring infrastructure is compromised till we make corrections.
Or are we just assuming they will match? That assumption may be part of a conscious or unconscious magic trick, if the answer is no. Science likes the latest toys and may not want to get sent back to the stone age with spartan tools and locations. The bias may remain for prestige reasons.
The whole point of monitoring is to eliminate assumptions and maximize consilience. The old-timey toys tend to be cheap, reliable, plentiful and transportable. More of them are deployed than large, complex, expensive, delicate systems. For every satellite temperature or CO2 detector, there must be thousands of cheap, portable thermometers and gas detectors deployed.