Quantitative attribution of Northern Hemisphere temperatures over the past 2000 years

Feng SHI , Mingfang TING , Zhengtang GUO

Front. Earth Sci. ›› 2023, Vol. 17 ›› Issue (2) : 632 -641.

PDF (2175KB)
Front. Earth Sci. ›› 2023, Vol. 17 ›› Issue (2) : 632 -641. DOI: 10.1007/s11707-023-1086-6
RESEARCH ARTICLE
RESEARCH ARTICLE

Quantitative attribution of Northern Hemisphere temperatures over the past 2000 years

Author information +
History +
PDF (2175KB)

Abstract

Quantitative assessment of natural internal variability and externally forced responses of Northern Hemisphere (NH) temperatures is necessary for understanding and attributing climate change signals during past warm and cold periods. However, it remains a challenge to distinguish the robust internally generated variability from the observed variability. Here, large-ensemble (70 member) simulations, Energy Balance Model simulation, temperature ensemble reconstruction, and three dominant external forcings (volcanic, solar, and greenhouse gas) were combined to estimate the internal variability of NH summer (June–August) temperatures over the past 2000 years (1–2000 CE). Results indicate that the Medieval Climate Anomaly was predominantly attributed to centennial-scale internal oscillation, accounting for an estimated 104% of the warming anomaly. In contrast, the Current Warm Period is influenced mainly by external forcing, contributing up to 90% of the warming anomaly. Internal temperature variability offsets cooling by volcanic eruptions during the Late Antique Little Ice Age. These findings have important implications for the attribution of past climate variability and improvement of future climate projections.

Graphical abstract

Keywords

Common Era / Internal variability / Dark Ages Cold Period / Medieval Climate Anomaly / Current Warm Period

Cite this article

Download citation ▾
Feng SHI, Mingfang TING, Zhengtang GUO. Quantitative attribution of Northern Hemisphere temperatures over the past 2000 years. Front. Earth Sci., 2023, 17(2): 632-641 DOI:10.1007/s11707-023-1086-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ammann C M, Joos F, Schimel D S, Otto-Bliesner B L, Tomas R A (2007). Solar influence on climate during the past millennium: results from transient simulations with the NCAR Climate System Model.Proc Natl Acad Sci USA, 104(10): 3713–3718

[2]

Bothe O, Evans M, Donado L F, Bustamante E G, Gergis J, Gonzalez-Rouco J F, Goosse H, Hegerl G C, Hind A, Jungclaus J H, Kaufman D S, Lehner F, Mckay N P, Moberg A, Raible C C, Schurer A P, Shi F, Smerdon J E, von Gunten L, Wagner S, Warren E, Widmann M, Yiou P, Zorita E (2015). Continental-scale temperature variability in PMIP3 simulations and PAGES 2k regional temperature reconstructions over the past millennium.Clim Past, 11(12): 1673–1699

[3]

Büntgen U, Allen K, Anchukaitis K J, Arseneault D, Boucher É Bräuning A, Chatterjee S, Cherubini P, Churakova O V, Corona C, Gennaretti F, Grießinger J, Guillet S, Guiot J, Gunnarson B, Helama S, Hochreuther P, Hughes M K, Huybers P, Kirdyanov A V, Krusic P J, Ludescher J, Meier W J H, Myglan V S, Nicolussi K, Oppenheimer C, Reinig F, Salzer M W, Seftigen K, Stine A R, Stoffel M, St. George S, Tejedor E, Trevino A, Trouet V, Wang J, Wilson R, Yang B, Xu G, Esper J (2021). The influence of decision-making in tree ring-based climate reconstructions.Nat Commun, 12(1): 3411

[4]

Büntgen U, Myglan V S, Ljungqvist F C, McCormick M, Di Cosmo N, Sigl M, Jungclaus J, Wagner S, Krusic P J, Esper J, Kaplan J O, de Vaan M A C, Luterbacher J, Wacker L, Tegel W, Kirdyanov A V (2016). Cooling and societal change during the Late Antique Little Ice Age from 536 to around 660 AD.Nat Geosci, 9(3): 231–236

[5]

Christiansen B, Ljungqvist F C (2012). The extra-tropical Northern Hemisphere temperature in the last two millennia: reconstructions of low-frequency variability.Clim Past, 8(2): 765–786

[6]

Christiansen B, Ljungqvist F C (2017). Challenges and perspectives for large-scale temperature reconstructions of the past two millennia.Rev Geophys, 55(1): 40–96

[7]

Crowley T J (2000). Causes of climate change over the past 1000 years.Science, 289(5477): 270–277

[8]

Deser C, Lehner F, Rodgers K B, Ault T, Delworth T L, DiNezio P N, Fiore A, Frankignoul C, Fyfe J C, Horton D E, Kay J E, Knutti R, Lovenduski N S, Marotzke J, McKinnon K A, Minobe S, Randerson J, Screen J A, Simpson I R, Ting M F (2020). Insights from Earth system model initial-condition large ensembles and future prospects.Nat Clim Chang, 10(4): 277–286

[9]

Dormann C F, Elith J, Bacher S, Buchmann C M, Carl G, Carré G, Marquéz J R G, Gruber B, Lafourcade B, Leitão P J, Münkemüller T, McClean C J, Osborne P E, Reineking B, Schröder B, Skidmore A K, Zurell D, Lautenbach S (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.Ecography, 36(1): 27–46

[10]

Esper J, Cook E R, Schweingruber F H (2002). Low-frequency signals in long tree-ring chronologies for reconstructing past temperature variability.Science, 295(5563): 2250–2253

[11]

Esper J, Frank D C, Timonen M, Zorita E, Wilson R J S, Luterbacher J, Holzkamper S, Fischer N, Wagner S, Nievergelt D, Verstege A, Büntgen U (2012). Orbital forcing of tree-ring data.Nat Clim Chang, 2(12): 862–866

[12]

Feng S N, Liu X Q, Shi F, Mao X, Li Y, Wang J P (2022). Humidity changes and possible forcing mechanisms over the last millennium in arid Central Asia.Clim Past, 18(5): 975–988

[13]

FrittsH (1976). Tree Rings and Climate. New Jersey: Blackburn Press

[14]

Goosse H, Brovkin V, Fichefet T, Haarsma R, Huybrechts P, Jongma J, Mouchet A, Selten F M, Barriat P Y, Campin J M, Deleersnijder E, Driesschaert E, Goelzer H, Janssens I, Loutre M F, Morales Maqueda M A, Opsteegh T, Mathieu P P, Munhoven G, Pettersson E J, Renssen H, Roche D M, Schaeffer M, Tartinville B, Timmermann A, Weber S L (2010). Description of the Earth system model of intermediate complexity LOVECLIM version 1.2.Geosci Model Dev, 3(2): 603–633

[15]

Goosse H, Renssen H, Timmermann A, Bradley R S (2005). Internal and forced climate variability during the last millennium: a model-data comparison using ensemble simulations.Quat Sci Rev, 24(12): 1345–1360

[16]

Hausfather Z, Marvel K, Schmidt G A, Nielsen-Gammon J W, Zelinka M (2022). Climate simulations: recognize the ‘hot model’ problem.Nature, 605(7908): 26–29

[17]

Hawkins E, Sutton R T (2009). The potential to narrow uncertainty in regional climate predictions.Bull Am Meteorol Soc, 90(8): 1095–1108

[18]

Helama S, Jones P D, Briffa K R (2017). Dark ages cold period: a literature review and directions for future research.Holocene, 27(10): 1600–1606

[19]

KnightJ R, AllanR J, FollandC K, Vellinga M, MannM E (2005). A signature of persistent natural thermohaline circulation cycles in observed climate. Geophys Res Lett, 32(20): L20708

[20]

Knudsen M F, Jacobsen B H, Seidenkrantz M S, Olsen J (2014). Evidence for external forcing of the Atlantic Multidecadal Oscillation since termination of the Little Ice Age.Nat Commun, 5(1): 3323

[21]

Li Y, Yang H J (2022). A theory for self-sustained multicentennial oscillation of the Atlantic Meridional Overturning Circulation.J Clim, 35(18): 5883–5896

[22]

LjungqvistF C (2010). A new reconstruction of temperature variability in the extra-tropical Northern Hemisphere during the last two millennia. Geogr Ann, Ser A, 92(3): 339–351

[23]

MannM E (2011). On long range dependence in global surface temperature series. Clim Change, 107(3–4): 267–276

[24]

Mann M E (2007). Climate over the past two millennia.Annu Rev Earth Planet Sci, 35(1): 111–136

[25]

Mann M E, Bradley R S, Hughes M K (1999). Northern hemisphere temperatures during the past millennium: inferences, uncertainties, and limitations.Geophys Res Lett, 26(6): 759–762

[26]

Mann M E, Steinman B A, Brouillette D J, Fernandez A, Miller S K (2022). On the estimation of internal climate variability during the preindustrial past millennium.Geophys Res Lett, 49(2): e2021GL096596

[27]

Mann M E, Steinman B A, Miller S K (2014). On forced temperature changes, internal variability and the AMO.Geophys Res Lett, 41(9): 3211–3219

[28]

Mann M E, Zhang Z, Hughes M K, Bradley R S, Miller S K, Rutherford S, Ni F (2008). Proxy-based reconstructions of hemispheric and global surface temperature variations over the past two millennia.Proc Natl Acad Sci USA, 105(36): 13252–13257

[29]

Marotzke J, Forster P M (2015). Forcing, feedback and internal variability in global temperature trends.Nature, 517(7536): 565–570

[30]

Masson-DelmotteV, Schulz M, Abe-OuchiA, BeerJ, Ganopolski A, RoucoJ, JansenE, Lambeck K, LuterbacherJ, NaishT (2013). Information from Paleoclimate Archives. Climate Change 2013: The Physical Science Basis. In: Stocker TF, et al. eds. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press

[31]

McShane B B, Wyner A J (2011). A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable?.Ann Appl Stat, 5(1): 5–44

[32]

Meehl G A, Covey C, McAvaney B, Latif M, Stouffer R J (2005). Overview of the coupled model intercomparison project.Bull Am Meteorol Soc, 86(1): 89–93

[33]

Meinshausen M, Vogel E, Nauels A, Lorbacher K, Meinshausen N, Etheridge D M, Fraser P J, Montzka S A, Rayner P J, Trudinger C M, Krummel P B, Beyerle U, Canadell J G, Daniel J S, Enting I G, Law R M, Lunder C R, O’Doherty S, Prinn R G, Reimann S, Rubino M, Velders G J M, Vollmer M K, Wang R H J, Weiss R (2017). Historical greenhouse gas concentrations for climate modelling (CMIP6).Geosci Model Dev, 10(5): 2057–2116

[34]

Milinski S, Maher N, Olonscheck D (2020). How large does a large ensemble need to be?.Earth Syst Dyn, 11(4): 885–901

[35]

Min S K, Legutke S, Hense A, Kwon W T (2005). Internal variability in a 1000-yr control simulation with the coupled climate model ECHO-G — I. Near-surface temperature, precipitation and mean sea level pressure. Tellus A.Dynamic Meteor Oceanogr, 57(4): 605–621

[36]

Moberg A, Sonechkin D M, Holmgren K, Datsenko N M, Karlén W, Lauritzen S E (2005). Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data.Nature, 433(7026): 613–617

[37]

Neukom R, Barboza L A, Erb M P, Shi F, Emile-Geay J, Evans M N, Franke J, Kaufman D S, Lücke L, Rehfeld K, Schurer A, Zhu F, Brönnimann S, Hakim G J, Henley B J, Ljungqvist F C, McKay N, Valler V, von Gunten L, PAGES 2k Consortium (2019a). Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era.Nat Geosci, 12(8): 643–649

[38]

Neukom R, Steiger N, Gómez-Navarro J J, Wang J, Werner J P (2019b). No evidence for globally coherent warm and cold periods over the preindustrial Common Era.Nature, 571(7766): 550–554

[39]

North G R, Cahalan R F, Coakley J A Jr (1981). Energy balance climate models.Rev Geophys, 19(1): 91–121

[40]

Otto-Bliesner B L, Brady E C, Fasullo J T, Jahn A, Landrum L, Stevenson S, Rosenbloom N, Mai A, Strand G (2016). Climate variability and change since 850 C.E.: an ensemble approach with the Community Earth System Model (CESM).Bull Am Meteorol Soc, 97(5): 735–754

[41]

PAGES2k Consortium (Emile-Geay J, McKay N P, Kaufman D S, von Gunten L, Wang J H, Anchukaitis K J, Abram N J, Addison J A, Curran M A J, Evans M N, Henley B J, Hao Z X, Martrat B, McGregor H V, Neukom R, Pederson G T, Stenni B, Thirumalai K, Werner J P, Xu C X, Divine D V, Dixon B C, Gergis J, Mundo I A, Nakatsuka T, Phipps S J, Routson C C, Steig E J, Tierney J E, Tyler J J, Allen K J, Bertler N A N, Björklund J, Chase B M, Chen M T, Cook E R, de Jong R, DeLong K L, Dixon D A, Ekaykin A A, Ersek V, Filipsson H L, Francus P, Freund M B, Frezzotti M, Gaire N P, Gajewski K, Ge Q S, Goosse H, Gornostaeva A, Grosjean M, Horiuchi K, Hormes A, Husum K, Isaksson E, Kandasamy S, Kawamura K, Kilbourne K H, Koç N, Leduc G, Linderholm H W, Lorrey A M, Mikhalenko V, Mortyn P G, Motoyama H, Moy A D, Mulvaney R, Munz P M, Nash D J, Oerter H, Opel T, Orsi A J, Ovchinnikov D V, Porter T J, Roop H A, Saenger C, Sano M, Sauchyn D, Saunders K M, Seidenkrantz M S, Severi M, Shao X M, Sicre M A, Sigl M, Sinclair K, St George S, St Jacques J M, Thamban M, Kuwar Thapa U, Thomas E R, Turney C S M, Uemura R, Viau A E, Vladimirova D O, Wahl E R, White J W C, Yu Z C, Zinke J (2017). A global multiproxy database for temperature reconstructions of the Common Era. Scientific Data, 4: 170088

[42]

RamachandranK M, TsokosC P (2014). Mathematical Statistics with Applications in R. London: Elsevier,

[43]

Schurer A P, Hegerl G C, Mann M E, Tett S F B, Phipps S J (2013). Separating forced from chaotic climate variability over the past millennium.J Clim, 26(18): 6954–6973

[44]

Schurer A P, Tett S F B, Hegerl G C (2014). Small influence of solar variability on climate over the past millennium.Nat Geosci, 7(2): 104–108

[45]

Shi F, Lu H Y, Guo Z T, Yin Q Z, Wu H B, Xu C X, Zhang E L, Shi J F, Cheng J, Xiao X Y, Zhao C (2021). The position of the Current Warm Period in the context of the past 22000 years of summer climate in China.Geophys Res Lett, 48(5): e2020GL091940

[46]

Shi F, Sun C, Guion A, Yin Q Z, Zhao S, Liu T, Guo Z T (2022). Roman Warm Period and Late Antique Little Ice Age in an Earth System Model Large Ensemble.J Geophys Res: Atmosph, 127(16): e2021JD035832

[47]

ShiF, YangB, FengJ, Li J P, YangF M, GuoZ T (2015). Reconstruction of the Northern Hemisphere annual temperature change over the Common Era derived from tree rings. Quatern Sci, 35(5): 1051–1063 (in Chinese)

[48]

Steinman B A, Mann M E, Miller S K (2015). Climate change. Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures.Science, 347(6225): 988–991

[49]

Suarez-GutierrezL, Milinski S, MaherN (2021). Exploiting large ensembles for a better yet simpler climate model evaluation. Clim Dyn, 57(9–10): 2557–2580

[50]

SunC, LiJ P, JinF F (2015). A delayed oscillator model for the quasi-periodic multidecadal variability of the NAO. Clim Dyn, 45(7–8): 2083–2099

[51]

Sun C, Zhang J, Li X, Shi C M, Gong Z Q, Ding R Q, Xie F, Lou P X (2021). Atlantic Meridional Overturning Circulation reconstructions and instrumentally observed multidecadal climate variability: a comparison of indicators.Int J Climatol, 41(1): 763–778

[52]

TebaldiC, KnuttiR (2007). The use of the multi-model ensemble in probabilistic climate projections. Philosoph Transact Royal Society A: Mathe, Phys Eng Sci, 365(1857): 2053–2075

[53]

TooheyM, SiglM (2016). Ice core-inferred volcanic stratospheric sulfur injection from 500 BCE to 1900 CE. In: World Data Center for Climate (WDCC) at DKRZ

[54]

Toohey M, Sigl M (2017). Volcanic stratospheric sulfur injections and aerosol optical depth from 500 BCE to 1900 CE.Earth Syst Sci Data, 9(2): 809–831

[55]

Vieira L E A, Solanki S K, Krivova N A, Usoskin I (2011). Evolution of the solar irradiance during the Holocene.Astron Astrophys, 531(A6): A6

[56]

Wang J L, Yang B, Ljungqvist F C, Luterbacher J, Osborn T J, Briffa K R, Zorita E (2017). Internal and external forcing of multidecadal Atlantic climate variability over the past 1200 years.Nat Geosci, 10(7): 512–517

[57]

Wang Z Y, Wang J L, Jia J, Shi X Y, Wang S S, Pan C H (2022). Detection and attribution of summer temperature changes in China during the last millennium.Int J Climatol, 42(12): 6384–6402

[58]

Wei X Y, Zhang R (2022). A simple conceptual model for the self-sustained multidecadal AMOC variability.Geophys Res Lett, 49(14): e2022GL099800

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (2175KB)

768

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/