Model Failure: ‘All Model Runs Warmed Faster Than Observations’ … CO2 Sensitivity Estimates ‘Unrealistically High’

Scientists continue to document severe discrepancies between climate modeling and observations in newly published scientific papers.

1. Models run too hot and yield “unrealistically high” estimates of the climate’s sensitivity to CO2 forcing.

McKitrick and Christy, 2020

“All model runs warmed faster than observations in the lower troposphere and midtroposphere, in the tropics, and globally. On average, and in most individual cases, the trend difference is significant.”

“[W]e present evidence that the distribution of ECS [equilibrium climate sensitivity] values across the model is unrealistically high.”

2. Models can’t decide if cloud feedbacks are positive or negative. Half think they’re positive, the other half negative.

Block et al., 2020

“Very intriguing is however, that 7 out of 13 models show positive ΔR [cloud feedbacks] in the Arctic while the other 6 have negative values. This implies that half of the models analyzed here simulate local runaway climate systems in which the gain of energy is larger than the loss of energy if advection is not taken into account. These models increase the initial radiative perturbation rather than to reduce it. On the other hand, models exhibiting little warmings tend to be dominated by the negative Planck feedback and can be brought back to radiative balance without the contribution of advection.”

3. Long-term climate (rainfall) projections are “dubious” and almost “non-informative,”  calling into question their “theoretical and practical relevance.”

Iliopoulou and Koutsoyiannis, 2020

“A relevant case study by Lee and Ouarda (2010) concluded that predictions of decadal streamflow extremes using the NAO as a covariate were impacted by large uncertainty to the point of almost being non-informative.”

“From a systematic investigation of long-term rainfall records, corroborated by simulation results, we have verified that local trends have poor out-of-sample performance, being outperformed in their predictions by simpler models, as the local mean. This empirical finding suggests that the large inherent variability present in the rainfall process makes the practice of extrapolating local features in the long-term future dubious, especially when the complexity of the latter increases. This in turn questions the theoretical and practical relevance of projections of rainfall trends and the grounds of the related abundant publications.”

Image Source: Iliopoulou and Koutsoyiannis, 2020

4. Contrary to climate model claims that warming induces perpetually rising positive feedbacks with water vapor, producing even more warming, the observed “buoyancy effect” suggests higher atmospheric water vapor means outgoing longwave radiation (OLR) is enhanced, not reduced. This negative water vapor feedback stabilizes the Earth’s climate and prevents runaway warming.

Yang and Seidel, 2020

We propose that the vapor buoyancy effect can increase Earth’s OLR and helps stabilize Earth’s climate by regulating the atmosphere’s thermal structure. Figure 1 shows the temperature and virtual temperature (buoyancy) fields in the moisture space from 2°S to 2°N using NASA AIRS data. In the free troposphere (p < 850 hPa), buoyancy is horizontally uniform because of the small Cori olis parameter and efficient gravity waves (Charney 1963; Bretherton and Smolarkiewicz 1989; Sobel et al. 2001; Yang 2018a). However, temperature increases toward dry columns due to the vapor buoyancy effect. Moving toward the dry columns, moisture and its associated vapor buoyancy are reduced. To maintain uniform buoyancy, temperature has to increase.”

“Although there is no such constraints in the boundary layer, we can assume that ∆T = 0 at the surface temperature because of the uniform sea surface temperature (SST). We, therefore, require ∆T equals ∆TW BG in the free troposphere but smoothly decays to 0 at surface: ease with climate warming due to increasing atmospheric moisture, leading to enhanced OLR over the dry area. This is a negative feedback which can help to stabilize Earth’s climate.”

6 responses to “Model Failure: ‘All Model Runs Warmed Faster Than Observations’ … CO2 Sensitivity Estimates ‘Unrealistically High’”

  1. John F Hultquist

    Nice. Thanks.

    _ _ _ _ _ _
    Yang & Seidel – – – I’m not fond of some language, such as:

    This negative water vapor feedback stabilizes the Earth’s climate and prevents runaway warming.

    When these authors use “stabilizes” there is the odd implication that Earth’s atmospheric/ocean dynamics does not or should not change.
    Insofar as there are known short-term and long-term changes, they might better write:
    – – – This negative water vapor feedback prevents runaway warming. – – –

    I’ll note also, they use “climate” when all they are talking about is atmospheric temperature.

    1. Yonason

      I noticed that, as well. I dismissed it as him having to pay lip service to warming in order to get his paper published. In any case, believer or not, it’s a sad state of affairs if scientists have pay homage to nonsense.

      Thanks for commenting on it, John.

  2. Brian James

    Oct 31, 2020 SPACE WEATHER CONDITIONS on NOAA Scales

    The Space Weather Prediction Center is pleased to announce the operational release of improved 30 minute auroral prediction maps beginning October.

  3. Lars P.

    “All model runs warmed faster than observations”

    Oversimplified climate is in the end: understanding the energy budget over time, if the energy budget is positive on a longer enough timeline the climate gets warmer=> “tropical age”, if it is negative, colder=> “ice age”.

    None of the current “climate” models has a proper energy budget. They do not calculate even the lapse rate, they do not calculate the energy transfer through the atmosphere.
    All they have is some assumed extra 3.5W/m2 radiation per CO2 doubling, (but still without any energy budget) and assumed “feedbacks”.
    How could these not continue to warm-up?

    This is why they have no chance to model roman warming, medieval warm period and so on. They cannot model climate, they need volcanoes to have cooler periods and some extra CO2 or solar radiation for warmer periods. This is all they have.

    These are simple weather models kept running indefinitely (with an added radiation). How could these make correct climate forecast?

    1. Yonason

      “How could these not continue to warm-up?”

      LOL. My thought, as well, Lars. Glad to see someone saying it.

  4. Weekly Climate and Energy News Roundup #430 | Watts Up With That?

    […] Model Failure: ‘All Model Runs Warmed Faster Than Observations’ … CO2 Sensitivity … […]

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