EGU2020-1, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-1
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Challenging CMIP6 model predictions

Miklos Zagoni
Miklos Zagoni
  • Eotvos Lorand University, Faculty of Natural Sciences, Budapest, Hungary (miklos.zagoni@t-online.hu)

The WCRP Coupled Model Intercomparison Project (CMIP) simulations expect increasing downward longwave radiation (DLR, surface LW down) from a human-enhanced greenhouse effect during the 21st century in the range of 10 – 40 Wm-2. We announce a public challenge to these predictions based on a long known but rarely referred theoretical constraint. Following the logic of original radiative transfer equations of Schwarzschild (1906, Eq. 11), a relationship connects surface net radiation to the effective emission, independent of the optical depth. This relationship is reproduced by several textbooks on atmospheric radiation like Goody (1964, Eq. 2.115), Goody and Yung (1989, Eq. 2.146), Houghton (2002, Eq. 2.13), Pierrehumbert (2010, Eq. 4.44-4.45). In CERES notation: Surface [shortwave (SW) + longwave (LW)] net = OLR/2. A specific “gross” version is: Surface (SW net + LW down) = 2OLR. These are for the cloudless case. Their all-sky form includes longwave cloud radiative effect (LWCRE): Surface SW+LW net = (OLR – LWCRE)/2 and Surface (SW net + LW down) = 2OLR + LWCRE. Controlling these four equations on CERES EBAF Edition 4.1, 18 years of data, and on EBAF Ed4.1 Data Quality Summary Table 2-1 and Table 4-1, each of them is valid within 3 Wm-2. The all-sky versions are satisfied by the IPCC-AR5 (2013) global energy budget (Fig. 2.11) and a water cycle assessment (Stephens and L'Ecuyer 2015) within 2 Wm-2. We couldn't find any reference to these equalities in the literature on general circulation models or climate sensitivity. Applying known definitions, the equations can be solved for LWCRE, resulting in a set of small integers (Zagoni, EGU2019). All-sky fluxes: Surface SW net = 6; Surface LW net = –2; DLR = 13; OLR = 9. Clear-sky fluxes: Surface SW net = 8; Surface LW net = –3; DLR = 12; OLR = 10; Surface LW up (ULW) = 15 (both for all-sky and clear-sky); LWCRE (surface and TOA) = 1. From this solution it comes for all-sky: DLR = (13/9)OLR, ULW = (15/9)OLR, and for clear-sky ULW = (15/10)OLR. Since the physical principles and conditions behind these equations are solid and justified by observations, we expect them to remain valid in the forthcoming decades as well. CMIP6 models might represent regional distribution changes and cloud feedbacks correctly, in lack of global constraints they may lead to profoundly different outcomes in the long run. This is a testable difference. To check the robustness and stationarity of our equations, we challenge published CMIP5 predictions. We predict for the 21st century: all-sky DLR = (13/9)OLR ± 3.0 Wm-2; ULW = (15/9)OLR ± 3.0 Wm-2 and clear-sky ULW = (15/10)OLR ± 3.0 Wm-2. Initial status (CERES EBAF Edition 4.1 annual global means for 2018): all-sky OLR = 240.14, DLR = 344.82, ULW = 399.37, hence all-sky DLR = (13/9)OLR – 2.05 and ULW = (15/9)OLR – 0.86 (Wm-2); clear-sky ULW = 399.05, OLR = 265.80, hence ULW = (15/10)OLR + 0.35 Wm-2. Greenhouse effect: g(theory) = G/ULW = (ULW–OLR)/ULW = (15 9)/15 = 0.4, g(observed) = 0.399.

How to cite: Zagoni, M.: Challenging CMIP6 model predictions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1, https://doi.org/10.5194/egusphere-egu2020-1, 2019

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