Citat:
Just i klimatdebatten är det alltid viktigt att veta vem som säger vad. Då vet man med vilka ögon man ska läsa en artikel. Detta eftersom mycket här drivs av pengar eller politik, snarare än vetenskap.
Den där artikeln har diskuterats tidigare på nätet - av media och av andra forskare. Här några som inte var speciellt imponerade av artikeln:
Citat:
"One of the authors, Jennifer Marohasy, took to the Spectator to claim her research had shown that recent global warming was almost entirely natural. (...) None of the writers bothered to ask a single other genuine climate scientist for their view on the paper. I asked five. They variously summarised the research as “junk science” and seriously flawed.
Scientists including Dr Gavin Schmidt, director of the Nasa Goddard Institute for Space Studies; Prof Steven Sherwood, deputy director at the University of New South Wales climate change research centre; and Prof Piers Forster, director of the Priestley international centre for climate at the University of Leeds, have pointed out to me serious flaws and errors in the paper’s methodology."
https://www.theguardian.com/environm...l-junk-science
Scientists including Dr Gavin Schmidt, director of the Nasa Goddard Institute for Space Studies; Prof Steven Sherwood, deputy director at the University of New South Wales climate change research centre; and Prof Piers Forster, director of the Priestley international centre for climate at the University of Leeds, have pointed out to me serious flaws and errors in the paper’s methodology."
https://www.theguardian.com/environm...l-junk-science
Citat:
"There's more to it! Their time axis is off by ~35 years and magnitude is too large by ~10%. So their '20th C' is actually 1845-1965."
https://twitter.com/ClimateOfGavin/s...41454232371200
https://twitter.com/ClimateOfGavin/s...41454232371200
Citat:
"The paper is deeply flawed from both the climate science and machine learning perspectives. The most obvious being the most eye-catching claim that equilibrium climate sensitivity is approximately 0.6C, which if true would overturn our understanding of the climate system. However the paper doesn't actually explain how this figure of 0.6C is obtained from a "largest deviation" of 0.2C, it is basically just a hand-wave. Also the largest deviation is not 0.2, this is the largest average (mean absolute) deviation seen in the proxies, and you can have a mean absolute deviation without there being a trend that you could relate to increased GHG concentrations and hence estimate ECS. More importantly, this would give an estimate of transient climate sensitivity, not equilibrium climate sensitivity, and you can't reliably estimate ECS (which is global) from regional or sub-regional proxy records."
https://earthscience.stackexchange.c...elevant-to-glo
https://earthscience.stackexchange.c...elevant-to-glo
Citat:
"Ultimately, if your naive approach – that completely ignores physics – produces a results that is inconsistent with our understanding of the physical system (suggesting, for example, that it’s almost all natural and that the ECS is about 0.6oC), then it’s much, much more likely that the machine learning algorithm is producing nonsense, than there being something wrong with what is essentially fairly basic physics."
https://andthentheresphysics.wordpre...ne-unlearning/
https://andthentheresphysics.wordpre...ne-unlearning/