Arctic winter warming due to cloud feedbacks in warm climates
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Arctic winter warming due to cloud feedbacks in warm climates (also: a word on warming of mid-latitude Pliocene upwelling sites) EGU 2021 Eli Tziperman Collaborators: Camille Hankel, Minmin Fu, Dorian Abbot, Nathan Arnold, Tim Cronin, Harrison Li, Zeyuan Hu, Dave Randall, Mark Branson
Warm climates during ~146-34 Ma Above-freezing min winter temperatures @ 60N, interior of N. America (present day: −40°C); Crocodiles in Greenland, Palm trees in Wyoming! Crocodiles need: Mean annual T>14.2°C & Cold month mean >5.5°C [Markwick, 1998]
Warm climates during ~146-34 Ma Above-freezing min winter temperatures @ 60N, interior of N. America (present day: −40°C); Crocodiles in Greenland, Palm trees in Wyoming! Cold air mass passing over Minnesota, January 2014. Crocodiles need: Mean annual T>14.2°C & Cold month mean >5.5°C −40C to −54C wind chills [Markwick, 1998] http://blogs.mprnews.org/updraft/2014
Warm climates during ~146-34 Ma Above-freezing min winter temperatures @ 60N, interior of N. America (present day: −40°C); Crocodiles in Greenland, Palm trees in Wyoming! vi v e s u r h e y t s ? l d t ve n c o u n e w us i o : h o i n t r t i o n ai r u e s o l a r Q g p u ri n d Cold air mass passing over Minnesota, January 2014. Crocodiles need: Mean annual T>14.2°C & Cold month mean >5.5°C −40C to −54C wind chills [Markwick, 1998] http://blogs.mprnews.org/updraft/2014
conditions. Snapshots of the vertical profile of temperature and an initial surface warming of only 20 °C relative to the reference clouds are shown every 2 d over a 14-d period. Cooling and simulation (Fig. 1C). These dramatic results amount to a sup- Suppression of Arctic air formation for warmer ocean condensation near the surface lead to formation of an optically pression of Arctic air formation in a much warmer climate. [Cronin & Tziperman 2015] A B C AND PLANETARY SCIENCES EARTH, ATMOSPHERIC, D E Fig. 1. Single-column simulation results of polar air formation for cold and warm initial atmospheric columns. A reference simulation with initial 2-m air temperature T2 ð0Þ = 0° C is shown in A and by purple lines in C−E. A simulation with much warmer initial 2-m air temperature T2 ð0Þ = 20° C is shown in B and
conditions. Snapshots of the vertical profile of temperature and an initial surface warming of only 20 °C relative to the reference clouds are shown every 2 d over a 14-d period. Cooling and simulation (Fig. 1C). These dramatic results amount to a sup- Suppression of Arctic air formation for warmer ocean condensation near the surface lead to formation of an optically pression of Arctic air formation in a much warmer climate. [Cronin & Tziperman 2015] (A) Simulating single-column (WRF) air A B with initial 2-m air temperature C T2(t=0) = AND PLANETARY SCIENCES 0°C going from ocean to over high- EARTH, ATMOSPHERIC, latitude land in winter, no solar forcing. Results: surface temperature cools by 60C in 2 weeks, strong inversion D develops. (following Curry 1983) E Fig. 1. Single-column simulation results of polar air formation for cold and warm initial atmospheric columns. A reference simulation with initial 2-m air temperature T2 ð0Þ = 0° C is shown in A and by purple lines in C−E. A simulation with much warmer initial 2-m air temperature T2 ð0Þ = 20° C is shown in B and
conditions. Snapshots of the vertical profile of temperature and an initial conditions. surface warming of only Snapshots of 20 the°C relative to the conditions. vertical profile ofreference Snapshots of theand temperature verticalanprof ini clouds are shown every 2 d over a 14-d period. Cooling and simulationclouds (Fig. are 1C).shown These every dramatic 2 d resultsa amount clouds over to a sup- are period. 14-d shown every 2 dand Cooling over simula a 14-d Suppression of Arctic air formation for warmer ocean condensation near the surface lead to formation of an optically pression of Arctic air formation condensation near the in a much surface warmer climate. condensation lead to formationnearofthe an surface opticallylead pressio to fo [Cronin & Tziperman 2015] (A) Simulating single-column (WRF) air A B with initial 2-m air temperature C A T2(t=0) = A B B AND PLANETARY SCIENCES 0°C going from ocean to over high- EARTH, ATMOSPHERIC, latitude land in winter, no solar forcing. Results: surface temperature cools by 60C in 2 weeks, strong inversion D develops. (following Curry 1983) (B) Warmer initial conditions: E T2(t=0) = 20°C Day-1 cooling similar to above, but further surface cooling is suppressed by LW effects of low cloud layer! No surface inversion develops. Green bands: low clouds w/large emissivity & a greenhouse effect; prevents further cooling Fig. 1. Single-column simulation results of polar air formation for cold and warm initial atmospheric temperature T2 ð0Þ = 0° C is shown in A and by purple lines in C−E. A simulation with much warmer temperature columns. Asimulation Fig. 1. Single-column initialT2-m 2 ð0Þ air reference results = 0°temperature C is shown in simulation Fig.of T2Að0Þ and with 1. polar = 20° by C initial air is shown purple temperature T2lines 2-msimulation formation Single-column inin ð0Þ = airfor coldresults BC−E. 0° and C and warm A simulation is shown in A andwith ini of pola by mu pu
more liquid water in clouds (Fig. 1E). The reduced rate of cooling in response to higher initial tem- Time-to-freezing increases nonlinearly with initial temperature perature T2 ð0Þ is robust with respect to the microphysics scheme used, as seen in the difference between the initial temperature and the time mean 2-m air temperature over the duration of the sim- ulation, ΔT2 = T2 ð0Þ − T2 (Fig. 2A). The average surface cooling across microphysics schemes for T2 ð0Þ = 0 °C is ΔT2 ≈ 38 °C, and is reduced by 21 °C to ΔT2 ≈ 17° C for T2 ð0Þ = 20° C. The suppres- sion of Arctic air formation thus amplifies warming of the initial B Tatmospheric state by over a factor of two. Cold initial The time taken for the 2-m air temperature to drop below conditions freezing, τ0, is less than 0.5 d if T2 ð0Þ < 10° C, but rises steeply to ∼10 d for T2 ð0Þ = 20° C (Fig. 2B). This nonlinearity is a conse- 0° quence of the differential surface cooling rates under clear and cloudy skies as well as the usetimeof a threshold-crossing metric; the surface initially cools rapidly under clear skies, but cools much more slowly once clouds form, with a temperature plateau for many days (solid orange line in Fig. 1C). Thus, for T2 ð0Þ < 10° C, the surface drops below freezing before clouds form and τ0 is relatively in- Warm initial Tsensitive to T2 ð0Þ, but for T2 ð0Þ > 10° C, the surface drops below freezing after clouds form, and τ0 is much more sensitive to T2 ð0Þ. conditions Sensitivity tests allow us to decompose the reduced rate of cooling into contributions from cloud radiative effects, latent 0°heat release, and clear-sky longwave radiation effects. The dash- time in Fig. 2A indicates the dotted line marked “no microphysics” cooling that takes place in simulations where no phase change of water is allowed, and thus no cloud formation or latent heat release. The modestly reduced cooling of this case at higher T2 ð0Þ owes to the decrease in clear-sky surface radiative cooling Fig. 2. Simulation results for (A) average surface cooling over 2-wk period, with higher atmospheric temperature (see also Fig. 1D, com- ΔT2 (° C), and (B) number of days taken for the 2-m air temperature to drop paring initial surface longwave cooling rates). The dash-dotted below freezing, τ0, both as a function of T2 ð0Þ. Black line (“multi-μphysics line marked “no CRF” in Fig. 2A shows the cooling that takes mean”) indicates an average across the solid-line microphysics parameteri- place when phase change of water is allowed, but clouds have no zations, which contain both liquid- and ice-phase processes. Dash-dotted effect on radiative transfer calculations. The difference between lines show unrealistic microphysics assumptions used to diagnose the re- Time-to-freezing increases rapidly for T (t=0)>10C the “no microphysics” and “no CRF” 2 simulations thus indicates that the influence of latent heat release on the reduction of sponse mechanism; “no microphysics” indicates no phase change of water (Cronin & Tziperman, 2015, PNAS; extension to allowed, and thus no clouds at all; “no CRF” indicates that clouds are because plateau occurs above freezing point then surface cooling is only ∼ 3° C at T2 ð0Þ = 20° C. The large differ- ence between the no CRF dash-dotted line and the set of solid a 2d column cloud resolving model: Cronin, Li, allowed to form but do not affect radiative transfer; “No ice (Kessler)” in- dicates a microphysics scheme that has only liquid condensate, regardless of lines, including the black multimicrophysics mean line, shows Tziperman, 2017, JAS) temperature. A quadratic fit to the solid black line in A is shown in black
more liquid water in clouds (Fig. 1E). The reduced rate of cooling in response to higher initial tem- Time-to-freezing increases nonlinearly with initial temperature perature T2 ð0Þ is robust with respect to the microphysics scheme used, as seen in the difference between the initial temperature and the time mean 2-m air temperature over the duration of the sim- ulation, ΔT2 = T2 ð0Þ − T2 (Fig. 2A). The average surface cooling across microphysics schemes for T2 ð0Þ = 0 °C is ΔT2 ≈ 38 °C, and is reduced by 21 °C to ΔT2 ≈ 17° C for T2 ð0Þ = 20° C. The suppres- sion of Arctic air formation thus amplifies warming of the initial B Tatmospheric state by over a factor of two. Cold initial The time taken for the 2-m air temperature to drop below conditions freezing, τ0, is less than 0.5 d if T2 ð0Þ < 10° C, but rises steeply to ∼10 d for T2 ð0Þ = 20° C (Fig. 2B). This nonlinearity is a conse- 0° quence of the differential surface cooling rates under clear and cloudy skies as well as the usetimeof a threshold-crossing metric; the surface initially cools rapidly under clear skies, but cools much more slowly once clouds form, with a temperature plateau for many days (solid orange line in Fig. 1C). Thus, for T2 ð0Þ < 10° C, the surface drops below freezing before clouds form and τ0 is relatively in- Warm initial Tsensitive to T2 ð0Þ, but for T2 ð0Þ > 10° C, the surface drops below freezing after clouds form, and τ0 is much more sensitive to T2 ð0Þ. conditions Sensitivity tests allow us to decompose the reduced rate of cooling into contributions from cloud radiative effects, latent 0°heat release, and clear-sky longwave radiation effects. The dash- time in Fig. 2A indicates the dotted line marked “no microphysics” cooling that takes place in simulations where no phase change of water is allowed, and thus no cloud formation or latent heat release. The modestly reduced cooling of this case at higher Initial cooling T2 ð0Þ owes to the decrease in clear-sky surface radiative cooling with higher atmospheric temperature (see also Fig. 1D, com- Fig. 2. Simulation results for (A) average surface cooling over 2-wk period, ΔT2 (° C), and (B) number of days taken for the 2-m air temperature to drop paring initial surface longwave cooling rates). The dash-dotted before low clouds line marked “no CRF” in Fig. 2A shows the cooling that takes below freezing, τ0, both as a function of T2 ð0Þ. Black line (“multi-μphysics mean”) indicates an average across the solid-line microphysics parameteri- place when phase change of water is allowed, but clouds have no zations, which contain both liquid- and ice-phase processes. Dash-dotted effect on radiative transfer calculations. The difference between lines show unrealistic microphysics assumptions used to diagnose the re- Time-to-freezing increases rapidly for T (t=0)>10C the “no microphysics” and “no CRF” 2 simulations thus indicates that the influence of latent heat release on the reduction of sponse mechanism; “no microphysics” indicates no phase change of water (Cronin & Tziperman, 2015, PNAS; extension to allowed, and thus no clouds at all; “no CRF” indicates that clouds are because plateau occurs above freezing point then surface cooling is only ∼ 3° C at T2 ð0Þ = 20° C. The large differ- ence between the no CRF dash-dotted line and the set of solid a 2d column cloud resolving model: Cronin, Li, allowed to form but do not affect radiative transfer; “No ice (Kessler)” in- dicates a microphysics scheme that has only liquid condensate, regardless of lines, including the black multimicrophysics mean line, shows Tziperman, 2017, JAS) temperature. A quadratic fit to the solid black line in A is shown in black
more liquid water in clouds (Fig. 1E). The reduced rate of cooling in response to higher initial tem- Time-to-freezing increases nonlinearly with initial temperature perature T2 ð0Þ is robust with respect to the microphysics scheme used, as seen in the difference between the initial temperature and the time mean 2-m air temperature over the duration of the sim- ulation, ΔT2 = T2 ð0Þ − T2 (Fig. 2A). The average surface cooling across microphysics schemes for T2 ð0Þ = 0 °C is ΔT2 ≈ 38 °C, and is reduced by 21 °C to ΔT2 ≈ 17° C for T2 ð0Þ = 20° C. The suppres- sion of Arctic air formation thus amplifies warming of the initial B Tatmospheric state by over a factor of two. Cold initial The time taken for the 2-m air temperature to drop below conditions freezing, τ0, is less than 0.5 d if T2 ð0Þ < 10° C, but rises steeply to ∼10 d for T2 ð0Þ = 20° C (Fig. 2B). This nonlinearity is a conse- 0° quence of the differential surface cooling rates under clear and cloudy skies as well as the usetimeof a threshold-crossing metric; the surface initially cools rapidly under clear skies, but cools much more slowly once clouds form, with a temperature plateau for many days (solid orange line in Fig. 1C). Thus, for T2 ð0Þ < 10° C, the surface drops below freezing before clouds form and τ0 is relatively in- Warm initial Tsensitive to T2 ð0Þ, but for T2 ð0Þ > 10° C, the surface drops below freezing after clouds form, and τ0 is much more sensitive to T2 ð0Þ. conditions Sensitivity tests allow us to decompose the reduced rate of cooling into contributions from cloud radiative effects, latent 0°heat release, and clear-sky longwave radiation effects. The dash- time in Fig. 2A indicates the dotted line marked “no microphysics” cooling that takes place in simulations where no phase change of water is allowed, and thus no cloud formation or latent heat release. The modestly reduced cooling of this case at higher Initial cooling Plateau of suspended Fig. 2. Simulation results for (A) average surface cooling over 2-wk period, T2 ð0Þ owes to the decrease in clear-sky surface radiative cooling with higher atmospheric temperature (see also Fig. 1D, com- before low clouds cooling due to low clouds ΔT (° C), and (B) number of days taken for the 2-m air temperature to drop paring initial surface longwave cooling rates). The dash-dotted 2 below freezing, τ , both as a function of T ð0Þ. Black line (“multi-μphysics 0 2 line marked “no CRF” in Fig. 2A shows the cooling that takes mean”) indicates an average across the solid-line microphysics parameteri- place when phase change of water is allowed, but clouds have no zations, which contain both liquid- and ice-phase processes. Dash-dotted effect on radiative transfer calculations. The difference between lines show unrealistic microphysics assumptions used to diagnose the re- Time-to-freezing increases rapidly for T (t=0)>10C the “no microphysics” and “no CRF” 2 simulations thus indicates that the influence of latent heat release on the reduction of sponse mechanism; “no microphysics” indicates no phase change of water (Cronin & Tziperman, 2015, PNAS; extension to allowed, and thus no clouds at all; “no CRF” indicates that clouds are because plateau occurs above freezing point then surface cooling is only ∼ 3° C at T2 ð0Þ = 20° C. The large differ- ence between the no CRF dash-dotted line and the set of solid a 2d column cloud resolving model: Cronin, Li, allowed to form but do not affect radiative transfer; “No ice (Kessler)” in- dicates a microphysics scheme that has only liquid condensate, regardless of lines, including the black multimicrophysics mean line, shows Tziperman, 2017, JAS) temperature. A quadratic fit to the solid black line in A is shown in black
Arctic air suppression in a 3-dimensional atmospheric GCM present-day SST a S T d S i b e sc r s re p nar i o s c e b c very warm SST d Extension to a 3D GCM: Hu, Cronin, Tziperman, 2018.
T2m_1%min Arctic air suppression in a 3-dimensional atmospheric GCM T2m std T2m_1% T2m_1% - T2m_1%min d continental surfacee f temperature increases present-day SST c) SSTn=20 PDFs of continental ECP2300 a RCP2090 g h i temperatures: cold PI T a b c winter conditions S S e d eliminated c ri b re s i o s p nar sc e b dj k e fl c very warm g h i SST d e) Extension to a 3D GCM: Hu, Cronin, Tziperman, 2018. j k l
T2m_1%min Arctic air suppression in a 3-dimensional atmospheric GCM T2m std T2m_1% T2m_1% - T2m_1%min d continental surfacee f temperature increases present-day a b c SST c) SSTn=20 PDFs of continental ECP2300 a RCP2090 g h i temperatures: cold PI T a b c winter conditions S S e d eliminated ri b re sc i o s d e f p nar sc e b dj k e fl g h i c Low clouds appear change very warm g h i SST e) Extension to a 3D jd k l GCM: Hu, Cronin, Tziperman, 2018. j k l
T2m_1%min T2m std Arctic air suppression in a 3-dimensional atmospheric GCM T2m_1% T2m_1% - T2m_1%min d continental surfacee f temperature increases present-day a b c SST c) SSTn=20 ECP2300 PDFs of continental a RCP2090 g h i temperatures: cold PI T a b c winter conditions S S e d eliminated ri b re sc i o s d e f p nar sc e b dj k e fl g surface inversion h i c Low clouds appear eliminated with change warm SST very warm g h i SST e) Extension to a 3D jd k l GCM: Hu, Cronin, Tziperman, 2018. j k l Coldest temperatures warm (mean&pdf), more low clouds over land, Temperature profile without inversion - all consistent w/ Arctic air suppression
Relevance to future projections: Arctic amplification & lapse-rate “feedback” In tropics, greater warming in upper troposphere than at surface ➨ a negative feedback, result of moist adiabatic lapse rate; In Arctic, warming is enhanced in lower atmosphere ➨ a positive feedback, still not well understood [Pithan & Mauritsen 2014] σTe4 σTe4 Standard: ze Increased CO2 ze TOA warming needed Z to balance ∆CO2 Z Tropics Arctic surface surface T T Low clouds that suppress arctic air formation, also explain this high- latitude lapse-rate response as climate warms!
Some Air trajectories in Arctic air formation events pass over Arctic ocean Air trajectories leading to polar air formation often pass over Arctic; if it is sea-ice covered, Arctic air suppression wont work because air arriving to North America would be too cold and dry. ➔ Must eliminate winter Arctic sea ice, to allow air to accumulate moisture and suppress Arctic air formation over land, allowing crocodiles and palm trees to survive… Walsh et al 2001
Arctic warming & multiple equilibria due to convective cloud Arctic feedback convecting convective, cloudy, surface temperature warm warm state cold non-convecting non convective, A 2-level model used to Multiple-equilibria! clear sky, cold state analyze convective cloud feedback Abbot & Tziperman, 2009 CO2 (normalized) [Abbot, Tziperman +et al, 2008–12: QJRMS, GRL, JAS, J. Climate; Arnold et al 2014: PNAS]
Arctic warming & multiple equilibria due to convective cloud Arctic feedback convecting convective, cloudy, surface temperature warm warm state cold non-convecting non convective, A 2-level model used to Multiple-equilibria! clear sky, cold state analyze convective cloud feedback Abbot & Tziperman, 2009 CO2 (normalized) Convecting winter-time Arctic is a surprising state, can help keep Arctic warm and ice free during winters in warm climates & was seen at 4xCO2 in column model, CMIP3, SP-CESM. And now also for CMIP5/RCP8.5: next slide. [Abbot, Tziperman +et al, 2008–12: QJRMS, GRL, JAS, J. Climate; Arnold et al 2014: PNAS]
Winter-time Arctic convection in CMIP5 models, RCP8.5 2000-2300 showing convective precipitation as a function of year & latitude only one CMIP5 model does not show winter- time Arctic convection in extended RCP8.5 projection Hankel and Tziperman 2021, in prep
Warming of Mid-latitude Pliocene upwelling sites Proxy observations: coastal upwelling sites near most continents warmer by up to 10C from present Step 1: prescribe wet conditions over coastal area; ➨ cooling ➨ weakening of zonal pressure gradient ➨ weakening of geostrophic along-coast winds prescribed wet conditions lead to cooling over land Fu, Cane, Molnar, Tziperman 2021a,b
Warming of Mid-latitude Pliocene upwelling sites Proxy observations: coastal upwelling sites near most continents warmer by up to 10C from present Step 1: prescribe wet conditions over coastal area; ➨ cooling ➨ weakening of zonal pressure gradient ➨ weakening of geostrophic along-coast winds prescribed wet conditions lead to cooling over land present climate on left, response to wet land on right: upwelling wind weakens significantly! Fu, Cane, Molnar, Tziperman 2021a,b
Warming of Mid-latitude Pliocene upwelling sites Proxy observations: coastal upwelling sites near most continents warmer by up to 10C from present Step 1: prescribe wet conditions over coastal area; ➨ cooling ➨ weakening of zonal pressure gradient ➨ weakening of geostrophic along-coast winds prescribed wet conditions lead to cooling over land present climate on left, response to wet land on right: upwelling wind weakens significantly! Fu, Cane, Molnar, Tziperman 2021a,b
Warming of Mid-latitude Pliocene upwelling sites Step 2: regional change to SST ➨ wetting of coastal areas Summer precipitation prescribed near-coastal SST warming dramatically enhanced A feedback: weakening of coastal winds ➨ weakening of upwelling ➨ warming SST ➨ further weakening of coastal winds Fu, Cane, Molnar, Tziperman 2021a,b
Warming of Mid-latitude Pliocene upwelling sites Step 2: regional change to SST ➨ wetting of coastal areas Summer precipitation prescribed near-coastal SST warming dramatically enhanced Mechanism: ✻ Enhanced cyclone track density near coast and ✻ More MSE and convection over land A feedback: weakening of coastal winds ➨ weakening of upwelling ➨ warming SST ➨ further weakening of coastal winds Fu, Cane, Molnar, Tziperman 2021a,b
Conclusions: Clouds in warm climates 1. We showed that high-latitude clouds provide a strong, positive warming feedback at higher CO2 that can explain the warmth suggested by past climate proxies and fossils both over the arctic and over continental interiors.
Conclusions: Clouds in warm climates 1. We showed that high-latitude clouds provide a strong, positive warming feedback at higher CO2 that can explain the warmth suggested by past climate proxies and fossils both over the arctic and over continental interiors. 2. The two mechanisms suggested: convection and high clouds in the Arctic ocean during polar night, and low clouds over land, amplify each other.
Conclusions: Clouds in warm climates 1. We showed that high-latitude clouds provide a strong, positive warming feedback at higher CO2 that can explain the warmth suggested by past climate proxies and fossils both over the arctic and over continental interiors. 2. The two mechanisms suggested: convection and high clouds in the Arctic ocean during polar night, and low clouds over land, amplify each other. 3. Both mechanisms show signs of occurring during past decades, explain the high latitude lapse rate feedback, and may amplify as CO2 further increases in future.
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