You are a fool, the models are very accurate.i.e. climate models are shite
You are actively participating in fossil fuel disinformation that will make your kids lives worse.
You are a fool, the models are very accurate.i.e. climate models are shite
you are the most dishonest individual i have ever encounteredHoly shit, larue.
Why are you such a dishonest dipshit?
#1. My god you are stupidIf you want to make this idiotic claim that climate change should only be measured in the clouds find predictions for changes there to measure it.
the satellite data is independently verified by weather balloon data . this means they are accurate.Stop this idiotic claim that you can compare surface temperature predictions with satellite measurements that ended in 2015 in the troposphere.
so use the accurate satellite data set and stop using the inaccurate mess that is the surface data setIts idiotic.
Don't compare apples to oranges.
You are a fool, the models are very accurate.
You are actively participating in fossil fuel disinformation that will make your kids lives worse.
The GCMs have various limitations. First, the effect of increasing CO2 emissions on the climate cannot be evaluated precisely on time scales that are of the order of less than or equal to 100 years. Second, there is a lack of knowledge of the uncertainty which is partly due to the choice of the subscale models and the parameterization and calibration of these, as well as insufficient data. Third, according to some evaluations, GCMs are not sufficiently reliable to distinguish between natural and man-made causes of the temperature increase in the 20th century
i.e. climate models are shiteGCMs are typically evaluated applying the same observations used to calibrate the model parameters. In an article in Science, Voosen (2016) writes; “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records – otherwise it would have ended up in the trash”. Unfortunately, models that match 20th century data as a result of calibration using the same 20th century data are of dubious quality for determining the causes of the 20th century temperature variability.
i.e. climate models are still shitewe have summarized recent work on statistical analyses on the ability of the GCMs to track historical temperature data. These studies have demonstrated that the time series of the difference between the global temperature and the corresponding hindcast from the GCMs is non-stationary. Thus, these studies raise serious doubts about whether the GCMs are able to distinguish natural variations in temperatures from variations caused by man-made emissions of CO2.
In other words, our analysis indicates that with the current level of knowledge, it seems impossible to determine how much of the temperature increase is due to emissions of CO2.
I don't care about your incredibly ignorant views on why you think a data set that ended in 2015 is 'more accurate'.the satellite data is independently verified by weather balloon data . this means they are accurate.
the surface data record is
filled with errors
contaminated by the urban island heat effect
simply because you do not understand the significance / important of independently verified dataI don't care about your incredibly ignorant views on why you think a data set that ended in 2015 is 'more accurate'.
the are few words to describe your behaviour. none of them are complementaryYou are still acting like a dishonest dipshit.
how many times to you need to told?Find projections for change in the troposphere if that's your metric.
so use the accurate satellite data set and stop using the inaccurate mess that is the surface data setStop being an asswipe by trying to compare surface temperature projections to troposphere readings.
the greenhouse effect occurs almost entirely in the troposphereIts really stupid and really dishonest.
The GCMs have various limitations. First, the effect of increasing CO2 emissions on the climate cannot be evaluated precisely on time scales that are of the order of less than or equal to 100 years. Second, there is a lack of knowledge of the uncertainty which is partly due to the choice of the subscale models and the parameterization and calibration of these, as well as insufficient data. Third, according to some evaluations, GCMs are not sufficiently reliable to distinguish between natural and man-made causes of the temperature increase in the 20th century
i.e. climate models are shiteGCMs are typically evaluated applying the same observations used to calibrate the model parameters. In an article in Science, Voosen (2016) writes; “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records – otherwise it would have ended up in the trash”. Unfortunately, models that match 20th century data as a result of calibration using the same 20th century data are of dubious quality for determining the causes of the 20th century temperature variability.
i.e. climate models are still shitewe have summarized recent work on statistical analyses on the ability of the GCMs to track historical temperature data. These studies have demonstrated that the time series of the difference between the global temperature and the corresponding hindcast from the GCMs is non-stationary. Thus, these studies raise serious doubts about whether the GCMs are able to distinguish natural variations in temperatures from variations caused by man-made emissions of CO2.
In other words, our analysis indicates that with the current level of knowledge, it seems impossible to determine how much of the temperature increase is due to emissions of CO2.
I expect I have more degrees than you, larue.simply because you do not understand the significance / important of independently verified data
it is really too bad for you that you dropped out of high school.
independent verification is scientific confirmation that the satellite data is accurate
you expect to be wrong thenI expect I have more degrees than you, larue.
too funnyYour phys ed bachelor doesn't really count for much.
you think copy and paste of internet articles and claiming a consensus of opinion is science.Its clear that you couldn't have gone much further than that, you are unable to find legit sources, unable to credit your sources accurately, unable to do research, unable to understand basic concept, unable to take part in actual dialog or debate and unable to learn anything.
you repeat the same propaganda over and over despite having their flaws explained to multiple timesYou post the same crap over and over again but can't understand the basics.
asked and answered1) you are still being a dishonest dipshit by trying to compare surface temperature projections with measurements in the troposhpere
satellite data is not suspect , it has been verified by independent weather balloon data sets. you blithering moron2) your satellite data is old and suspect, it stops in 2015 and you can't explain why.
The GCMs have various limitations. First, the effect of increasing CO2 emissions on the climate cannot be evaluated precisely on time scales that are of the order of less than or equal to 100 years. Second, there is a lack of knowledge of the uncertainty which is partly due to the choice of the subscale models and the parameterization and calibration of these, as well as insufficient data. Third, according to some evaluations, GCMs are not sufficiently reliable to distinguish between natural and man-made causes of the temperature increase in the 20th century
i.e. climate models are shiteGCMs are typically evaluated applying the same observations used to calibrate the model parameters. In an article in Science, Voosen (2016) writes; “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records – otherwise it would have ended up in the trash”. Unfortunately, models that match 20th century data as a result of calibration using the same 20th century data are of dubious quality for determining the causes of the 20th century temperature variability.
i.e. climate models are still shitewe have summarized recent work on statistical analyses on the ability of the GCMs to track historical temperature data. These studies have demonstrated that the time series of the difference between the global temperature and the corresponding hindcast from the GCMs is non-stationary. Thus, these studies raise serious doubts about whether the GCMs are able to distinguish natural variations in temperatures from variations caused by man-made emissions of CO2.
the climate models do not stand up to INDEPENDANT statistical analysis, nor do they represent the atmospheric physicsIn other words, our analysis indicates that with the current level of knowledge, it seems impossible to determine how much of the temperature increase is due to emissions of CO2.
You won't used the updated temperatures because you know it proves you are lying.satellite data is not suspect , it has been verified by independent weather balloon data sets. you blithering moron
if you want an update , arrange to fund Dr. Christy to provide an update
if you want an update , arrange to fund Dr. Christy to provide an updateYou won't used the updated temperatures because you know it proves you are lying.
Because you are a dishonest dipshit.
the greenhouse effect occurs almost entirely in the troposphereNASA says surface temps are more reliable.
I trust them, not some dipshit phys ed teacher.
In summary, while satellites provide valuable information about Earth's temperature, ground thermometers are considered more reliable because they directly measure the temperature where people reside. Satellite data require complex processing and modeling to convert brightness measurements into temperature readings, making ground thermometers a more direct and accurate source of temperature information for us.
The GCMs have various limitations. First, the effect of increasing CO2 emissions on the climate cannot be evaluated precisely on time scales that are of the order of less than or equal to 100 years. Second, there is a lack of knowledge of the uncertainty which is partly due to the choice of the subscale models and the parameterization and calibration of these, as well as insufficient data. Third, according to some evaluations, GCMs are not sufficiently reliable to distinguish between natural and man-made causes of the temperature increase in the 20th century
i.e. climate models are shiteGCMs are typically evaluated applying the same observations used to calibrate the model parameters. In an article in Science, Voosen (2016) writes; “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records – otherwise it would have ended up in the trash”. Unfortunately, models that match 20th century data as a result of calibration using the same 20th century data are of dubious quality for determining the causes of the 20th century temperature variability.
i.e. climate models are still shitewe have summarized recent work on statistical analyses on the ability of the GCMs to track historical temperature data. These studies have demonstrated that the time series of the difference between the global temperature and the corresponding hindcast from the GCMs is non-stationary. Thus, these studies raise serious doubts about whether the GCMs are able to distinguish natural variations in temperatures from variations caused by man-made emissions of CO2.
the climate models do not stand up to INDEPENDANT statistical analysis, nor do they represent the atmospheric physicsIn other words, our analysis indicates that with the current level of knowledge, it seems impossible to determine how much of the temperature increase is due to emissions of CO2.
No, its up to you to post current numbers and not use a data set that ended 9 years ago.if you want an update , arrange to fund Dr. Christy to provide an update
Yes. Blame fossil fuels because you were dumb enough to build a house in the ocean. What could possibly go wrong?
If you are thinking locally and myopically , perhaps you are correct but if you consider the macroscopic global effect, then you would appear to incorrect.So we had maybe 2 weeks of really hot weather, but otherwise it was just another normal summer