The Detection and Attribution of Northern Hemisphere Land Surface Warming (1850–2018) in Terms of Human and Natural Factors: Challenges of Inadequate Data

Author:

Soon Willie12,Connolly Ronan13ORCID,Connolly Michael13,Akasofu Syun-Ichi4,Baliunas Sallie5,Berglund Johan6,Bianchini Antonio78,Briggs William9,Butler C.10,Cionco Rodolfo1112ORCID,Crok Marcel13ORCID,Elias Ana14ORCID,Fedorov Valery15,Gervais François16,Harde Hermann17ORCID,Henry Gregory18,Hoyt Douglas19,Humlum Ole20,Legates David2122,Lupo Anthony23ORCID,Maruyama Shigenori24,Moore Patrick25,Ogurtsov Maxim2627ORCID,ÓhAiseadha Coilín28ORCID,Oliveira Marcos29,Park Seok-Soon30,Qiu Shican31ORCID,Quinn Gerré32ORCID,Scafetta Nicola33ORCID,Solheim Jan-Erik34,Steele Jim35,Szarka László2ORCID,Tanaka Hiroshi36ORCID,Taylor Mitchell37,Vahrenholt Fritz38,Velasco Herrera Víctor39ORCID,Zhang Weijia40

Affiliation:

1. Center for Environmental Research and Earth Sciences (CERES), Salem, MA 01970, USA

2. Institute of Earth Physics and Space Science (EPSS), H-9400 Sopron, Hungary

3. Independent Researcher, D08 Dublin, Ireland

4. International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775, USA

5. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA

6. Independent Researcher, 211 10 Malmö, Sweden

7. Osservatorio Astronomico di Padova, INAF, Vicolo Osservatorio 5, 35122 Padova, Italy

8. Department of Physics and Astronomy, University of Padua, Via Francesco Marzolo, 8, 35131 Padova, Italy

9. Independent Researcher, Charlevoix, MI 49720, USA

10. Armagh Observatory, College Hill, Armagh BT61 9DG, UK

11. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Calle 526 entre 10 y 11, La Plata 1900, Argentina

12. Grupo de Estudios Ambientales, Universidad Tecnológica Nacional, Colón 332, San Nicolás, Buenos Aires 2900, Argentina

13. CLINTEL Foundation, Zekeringstraat 41, 1014 BV Amsterdam, The Netherlands

14. Laboratorio de Ionosfera, Atmosfera Neutra y Magnetosfera (LIANM), Facultad de Ciencias Exactas y Tecnología, Universidad Nacional de Tucumán, Av. Independencia 1800, Tucumán 4000, Argentina

15. Faculty of Geography, Lomonosov Moscow State University, Leninskie Gory St. 1, Moscow 119991, Russia

16. Faculty of Sciences and Techniques, University of Tours, Parc de Grandmont, 37200 Tours, France

17. Experimental Physics and Materials Science, Helmut-Schmidt-University, Holstenhofweg 85, 22043 Hamburg, Germany

18. Center of Excellence in Information Systems, Tennessee State University, Nashville, TN 37209, USA

19. Independent Researcher, Berkeley Springs, WV 25411, USA

20. Department of Geosciences, University of Oslo, Sem Sælands vei 1, 0371 Oslo, Norway

21. Department of Geography and Spatial Sciences, University of Delaware, Newark, DE 19716, USA

22. Cornwall Alliance for the Stewardship of Creation, Collierville, TN 38017, USA

23. Atmospheric Science Program and Missouri Climate Center, School of Natural Resources, University of Missouri, Columbia, MO 65211, USA

24. Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan

25. Independent Researcher, Ecosense Environmental Inc., Comox, BC V9M 1T8, Canada

26. Laboratory of Cosmic Rays, Ioffe Physico-Technical Institute, St. Petersburg 194021, Russia

27. Central Astronomical Observatory at Pulkovo, Pulkovskoye Shosse, 65, St. Petersburg 196140, Russia

28. Department of Public Health, Health Service Executive, Dr Steevens’ Hospital, D08 W2A8 Dublin, Ireland

29. Núcleo de Climatologia Aplicada ao Meio Ambiente (CliMA), Centro de Recursos Hídricos e Estudos Ambientais (CRHEA), Escola de Engenharia de São Carlos (EESC), Universidade de São Paulo (USP), Área 1-Avenida Trabalhador são-carlense, 400 Pq Arnold Schimidt-CEP, São Carlos 13566-590, SP, Brazil

30. Department of Environmental Science and Engineering, College of Engineering, Ewha Womans University, 34-1 Sinchon-dong, Seodaemun-gu, Seoul 03760, Republic of Korea

31. Department of Geophysics, College of the Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China

32. Centre for Molecular Biosciences, Ulster University, Coleraine BT52 1SA, UK

33. Department of Earth Sciences, Environment and Georesources, University of Naples Federico II, Complesso Universitario di Monte S. Angelo, Via Cinthia, 21, 80126 Naples, Italy

34. Department of Physics and Technology, UiT the Arctic University of Norway, 9037 Tromsø, Norway

35. Sierra Nevada Field Campus, San Francisco State University, 35400 CA-49, Sierra City, CA 96124, USA

36. Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan

37. Department of Geography and the Environment, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada

38. Department of Chemistry, University of Hamburg, Papenkamp 14, 22607 Hamburg, Germany

39. Instituto de Geofisica, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán 04510, Mexico

40. Department of Mathematics and Physics, Shaoxing University, Shaoxing 312000, China

Abstract

A statistical analysis was applied to Northern Hemisphere land surface temperatures (1850–2018) to try to identify the main drivers of the observed warming since the mid-19th century. Two different temperature estimates were considered—a rural and urban blend (that matches almost exactly with most current estimates) and a rural-only estimate. The rural and urban blend indicates a long-term warming of 0.89 °C/century since 1850, while the rural-only indicates 0.55 °C/century. This contradicts a common assumption that current thermometer-based global temperature indices are relatively unaffected by urban warming biases. Three main climatic drivers were considered, following the approaches adopted by the Intergovernmental Panel on Climate Change (IPCC)’s recent 6th Assessment Report (AR6): two natural forcings (solar and volcanic) and the composite “all anthropogenic forcings combined” time series recommended by IPCC AR6. The volcanic time series was that recommended by IPCC AR6. Two alternative solar forcing datasets were contrasted. One was the Total Solar Irradiance (TSI) time series that was recommended by IPCC AR6. The other TSI time series was apparently overlooked by IPCC AR6. It was found that altering the temperature estimate and/or the choice of solar forcing dataset resulted in very different conclusions as to the primary drivers of the observed warming. Our analysis focused on the Northern Hemispheric land component of global surface temperatures since this is the most data-rich component. It reveals that important challenges remain for the broader detection and attribution problem of global warming: (1) urbanization bias remains a substantial problem for the global land temperature data; (2) it is still unclear which (if any) of the many TSI time series in the literature are accurate estimates of past TSI; (3) the scientific community is not yet in a position to confidently establish whether the warming since 1850 is mostly human-caused, mostly natural, or some combination. Suggestions for how these scientific challenges might be resolved are offered.

Funder

Center for Environmental Research and Earth Sciences

NASA

NSF

Tennessee State University

State of Tennessee

National Technological University of Argentina

Publisher

MDPI AG

Subject

Atmospheric Science

Reference188 articles.

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2. Constraining Human Contributions to Observed Warming since the Pre-Industrial Period;Gillett;Nat. Clim. Chang.,2021

3. (2013). IPCC Climate Change 2013: The Physical Science Basis, Cambridge University Press. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.

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5. How Much Has the Sun Influenced Northern Hemisphere Temperature Trends? An Ongoing Debate;Connolly;Res. Astron. Astrophys.,2021

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