How Much CO2 and the Sun Contribute to Global Warming?

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Presentation transcript:

How Much CO2 and the Sun Contribute to Global Warming? Hermann Harde Helmut-Schmidt-University Hamburg, Germany IPCC declares: Observed warming is predominantly caused by CO2 Increasing CO2 is only man-made

aLW aSW fA PA aLC aSC aO3 atmosphere Two-Layer Climate Model – 2LCM LBL-RT calculations for 900.000 lines of GH-gases - CO2, WV, CH4, O3 - 220 sub-layers - 14 CO2 concentrations - different cloud covers - 3 climate zones aLW rLE PC atmosphere E a r t h fA PA (1-fA)PA PE PS PL aLC aSW aSC aO3 rLC rSE rSC rSM+ rSC rSM Symbols: P – power; r – reflectivity (scattering).; a – absorptivity; fA – asymmetry factor

Comparison with measured energy and radiation budget Energy and radiation budget after Tremberth, Fassulo and Kiehl

International Satellite Cloud Climatology Project - ISCCP http://www.climate4you.com/index.htm TE  +0.065 °C at 1 % cloud cover decline

Direct CO2 Influence on the climate Earth's temperature TE and lower atmospheric temperature TA at 66 % cloud cover ECSNF = 1.09°C

doubled CO2: amplification: Feedback Effects Feedback Processes: many scientists agree: increasing CO2 absorption causing a forcing FCO2 should only moderately contribute to an additional warming T0  S FCO2 T0 with S – Planck sensitivity greater worry: smaller perturbations might initiate a feedback f [W/m2/°C], could significantly amplify the primary perturbation  S FR TR+T  feedback f + f  T FCO2 ECSNF doubled CO2: amplification:

Feedback Effects Well known feedbacks: water vapor feedback lapse rate feedback albedo feedback cloud feedbacks Additional feedbacks: convection feedback evaporation feedback solar induced cloud feedback

Feedback Effects Water Vapor Feedback: From LBL-RT calculations for 3 climate zones  diff. T  diff. humidity: clear sky: fWV = 1.10 W/m2/°C  A = 1.57 or + 57% 66% clouds: fWV = 0.43 W/m2/°C  A = 1.14 or + 14% IPCC (AR5): fWV = 1.6 W/m2/°C  A = 2.0 or +100% Reasons for the discrepancy: My calculations also consider sw absorptivity  negative feedback IPCC neglects changing absorption cross-section with surface temperature Main differences: Calculation of aLW with temperature & humidity: IPCC uses only clear sky for WV calculations and emanates from a WV concentration for mid- latitudes half of the global mean

Feedback Effects Lapse Rate Feedback: in agreement with AR5: fLR = -0.6 W/m2/°C  A = 0.85 or -15% Surface Albedo Feedback: from AR5: fSA = 0.3 W/m2/°C  A = 1.11 or +11%

CO - concentration (ppm) Temperature T (°C) Feedback Effects Convection Feedback: atmospheric temperature TA responds less sensitively to CO2 changes Te Ta logarithmic 4 8 12 16 20 24 70 140 210 280 350 420 490 560 630 700 770 CO 2 - concentration (ppm) Temperature T (°C)  temperature difference in convection zone increases with concentration  sensible heat flux IC of 17 W/m2 is growing with CO2 concentration  increasing flux from ground to air  cooling  negative feedback  clear sky: fCO = -0.19 W/m2/°C  A = 0.94 or -6%  mean CC: fCO = -0.06 W/m2/°C  A = 0.98 or -2%

Feedback Effects Evaporation Feedback: evaporation of water and sublimation of ice contribute to cooling of surface an increasing Earth-temperature forces these processes and results in negative feedback  evaporation feedback latent heat: lH = 5 W/m2/°C – heat transfer coefficient; T0 – freezing point clear sky: fEV = -2.1 W/m2/°C  A = 0.59 or - 41% mean CC: fEV = -2.76 W/m2/°C  A = 0.56 or - 44%

Feedback Effects Cloud feedback Reduced cloudiness  increased temperature: What controls cloud cover? Some observations: increasing T and humidity  increasing cloud cover CC negative Thermally Induced Cloud Feedback (TICF), Other observations: just opposite IPCC assumes: positive TICF initiated by CO2 specifies in AR5: feedback fCT = 0.3 W/m2/°C (-0.2 – 2.0 W/m2/°C)

Equilibrium Climate Sensitivity at Mean Cloud Cover: Feedback Effects Equilibrium Climate Sensitivity at Mean Cloud Cover: CMIP5 f [W/m2/°C] A 2LCM f [W/m2°C] A ECSNF 1.16 – 1.06 °C 1.09 °C + water vapor 1.06 °C 1.6 2.00 0.15 °C 0.43 1.14 + albedo 0.11 °C 0.3 1.10 0.11 °C 0.3 1.10 - lapse rate 0.16 °C - 0.6 0.85 0.16 °C - 0.6 0.85 - convection - - 0.02 °C - 0.06 0.98 - evaporation - - 0.48 °C - 2.76 0.56 + therm. clouds 0.11 °C 0.3 1.10 0.11 °C 0.3 1.10 ECS 3.2 °C 1.6 2.00 0.70 °C - 1.93 0.64 + therm. clouds 1.51 °C 2.0 2.43 1.44 °C 2.0 2.33 ECS 15.5 °C 3.0 14.6 1.22 °C 0.37 1.12

Solar Influence Strong indication for other mechanisms contributing to cloud changes to additional warming Solar Cloud Changes: The amount of clouds varies over the solar cycle: is an indication that solar activities also modulate the cloud cover Cosmic Rays – Henrik Svensmark, Shaviv et al.: increasing TSI reduces the cosmic flux via solar magnetic field  reduces formation of water droplets in the lower atmosphere Hyper-sensitivity to UV-Rays – Joanna Haigh: increased UV-radiation activates ozone production and heat transfer  acts back on cloud formation

Solar Influence Solar Cloud Changes Over last century: Modern Grand Solar Maximum with TSI of  3 ‰ (e.g. Shapiro et al. 2011, Scafetta&Willson 2014) From ERBS (Willson&Mordvinov, 2003): TSI  1‰ over the 80s and 90s When solar anomaly responsible for cloud changes: contributes to direct solar heating with same feedbacks as GH-gases additionally amplified by solar cloud changes  Solar Induced Cloud Feedback (SICF)  Solar Sensitivity SS = 0.17°C for 1‰ TSI variation

Global Warming Over Last Century Total Temperature Balance: Solar warming over last century: for solar anomaly TSI = 2.6‰  TSun = TSI x SS = 0.44°C CO2 warming over last century: 100 ppm CO2 at ECS = 0.70°C  TCO2 = 0.30°C Full agreement with observed temperature increase: 0.74°C Full agreement with observed cloud cover changes 60% 40%

CO2 increase from 280ppm (1850)  393 ppm (av. 10yr) CO2 increase over Industrial Era man-made? removal: > 100,000 yr CO2 increase from 280ppm (1850)  393 ppm (av. 10yr) AF  2.1 % respiration + decomposition air-sea gas exchange human emission ~ 4.7 % CO2 CO2 photosynthesis

R CO2 CO2 absorption ~ influx  unphysical CCO2 absorption rate = CO2 increase over Industrial Era man-made? absorption ~ influx  unphysical AF  2.1 % respiration + decomposition air-sea gas exchange human emission 4.7 % CO2 CO2 absorption rate = CCO2 R photosynthesis

human emissions: 16 % of 113 ppm CO2 increase CO2 increase over Industrial Era man-made? R0 = 3yr eN – natural emission rate eA – anthr. emission rate T(t) – temper. anomaly R – residence time human emissions: 16 % of 113 ppm CO2 increase contribution to warming over last century: 16% of 0.3°C  0.05°C

Summary Detailed LBL-radiation transfer calculations for the absorptivities and back-radiation of the greenhouse gases H2O, CO2, CH4 and O3 in the atmosphere Two-layer climate model especially appropriate to calculate the influence of an in-creasing CO2-concentration, and a varying solar activity on global warming We consider all relevant feedback processes: water vapor, lapse-rate, surface albedo, convection and evaporation Influence of clouds with thermally and solar induced feedback Equilibrium climate sensitivity ECS = 0.7 °C almost 5 times smaller than IPCC value Dominant warming over last century caused by the Sun with 0.44 °C (60%) CO2 only contributes to 0.3 °C (40%) With 16% human CO2 emissions  anthropogenic contribution to warming is 0.05°C