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The Contribution of Radiative Feedbacks to Orbitally Driven Climate Change
15 AUGUST 2013 E R B E T A L . 5897 The Contribution of Radiative Feedbacks to Orbitally Driven Climate Change MICHAEL P. ERB AND ANTHONY J. BROCCOLI Department of Environmental Sciences, Rutgers, The State University of New Jersey, New Brunswick, New Jersey AMY C. CLEMENT Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida (Manuscript received 2 July 2012, in final form 5 February 2013) ABSTRACT Radiative feedbacks influence Earth’s climate response to orbital forcing, amplifying some aspects of the response while damping others. To better understand this relationship, the GFDL Climate Model, version 2.1 (CM2.1), is used to perform idealized simulations in which only orbital parameters are altered while ice sheets, atmospheric composition, and other climate forcings are prescribed at preindustrial levels. These idealized simulations isolate the climate response and radiative feedbacks to changes in obliquity and longitude of the perihelion alone. Analysis shows that, despite being forced only by a redistribution of insolation with no global annual-mean component, feedbacks induce significant global-mean climate change, resulting in mean temperature changes of 20.5 K in a lowered obliquity experiment and 10.6 K in a NH winter solstice perihelion minus NH summer solstice perihelion experiment. In the obliquity ex- periment, some global-mean temperature response may be attributable to vertical variations in the transport of moist static energy anomalies, which can affect radiative feedbacks in remote regions by al- tering atmospheric stability. In the precession experiment, cloud feedbacks alter the Arctic radiation balance with possible implications for glaciation. At times when the orbital configuration favors glaciation, reductions in cloud water content and low-cloud fraction partially counteract changes in summer insolation, posing an additional challenge to understanding glacial inception. -
Recent Declines in Warming and Vegetation Greening Trends Over Pan-Arctic Tundra
Remote Sens. 2013, 5, 4229-4254; doi:10.3390/rs5094229 OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Recent Declines in Warming and Vegetation Greening Trends over Pan-Arctic Tundra Uma S. Bhatt 1,*, Donald A. Walker 2, Martha K. Raynolds 2, Peter A. Bieniek 1,3, Howard E. Epstein 4, Josefino C. Comiso 5, Jorge E. Pinzon 6, Compton J. Tucker 6 and Igor V. Polyakov 3 1 Geophysical Institute, Department of Atmospheric Sciences, College of Natural Science and Mathematics, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, AK 99775, USA; E-Mail: [email protected] 2 Institute of Arctic Biology, Department of Biology and Wildlife, College of Natural Science and Mathematics, University of Alaska, Fairbanks, P.O. Box 757000, Fairbanks, AK 99775, USA; E-Mails: [email protected] (D.A.W.); [email protected] (M.K.R.) 3 International Arctic Research Center, Department of Atmospheric Sciences, College of Natural Science and Mathematics, 930 Koyukuk Dr., Fairbanks, AK 99775, USA; E-Mail: [email protected] 4 Department of Environmental Sciences, University of Virginia, 291 McCormick Rd., Charlottesville, VA 22904, USA; E-Mail: [email protected] 5 Cryospheric Sciences Branch, NASA Goddard Space Flight Center, Code 614.1, Greenbelt, MD 20771, USA; E-Mail: [email protected] 6 Biospheric Science Branch, NASA Goddard Space Flight Center, Code 614.1, Greenbelt, MD 20771, USA; E-Mails: [email protected] (J.E.P.); [email protected] (C.J.T.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-907-474-2662; Fax: +1-907-474-2473. -
Unraveling Driving Forces Explaining Significant Reduction in Satellite-Inferred Arctic Surface Albedo Since the 1980S
Unraveling driving forces explaining significant reduction in satellite-inferred Arctic surface albedo since the 1980s Rudong Zhanga,1, Hailong Wanga,1, Qiang Fub, Philip J. Rascha, and Xuanji Wangc aAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352; bDepartment of Atmospheric Sciences, University of Washington, Seattle, WA 98195; and cCooperative Institute for Meteorological Satellite Studies/Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI 53706 Edited by V. Ramanathan, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, and approved October 10, 2019 (received for review September 3, 2019) The Arctic has warmed significantly since the early 1980s and sea ice cover to the observed albedo reduction. Precipitation is much of this warming can be attributed to the surface albedo projected to increase in a warmer world (20), more so in the feedback. In this study, satellite observations reveal a 1.25 to Arctic than the global mean (21, 22). This amplified increase in 1.51% per decade absolute reduction in the Arctic mean surface the Arctic has been attributed to an increase in surface evap- albedo in spring and summer during 1982 to 2014. Results from a oration associated with sea ice retreat, as well as increased global model and reanalysis data are used to unravel the causes poleward moisture transport from lower latitudes (23). Although of this albedo reduction. We find that reductions of terrestrial total precipitation is expected to increase, snowfall may de- snow cover, snow cover fraction over sea ice, and sea ice extent crease, and rainfall may dominate (24). -
Amplified Arctic Warming by Phytoplankton Under Greenhouse Warming
Amplified Arctic warming by phytoplankton under greenhouse warming Jong-Yeon Parka, Jong-Seong Kugb,1, Jürgen Badera,c, Rebecca Rolpha,d, and Minho Kwone aMax Planck Institute for Meteorology, D-20146 Hamburg, Germany; bSchool of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang 790-784, South Korea; cUni Climate, Uni Research & Bjerknes Centre for Climate Research, NO-5007 Bergen, Norway; dSchool of Integrated Climate system sciences, University of Hamburg, D-20146 Hamburg, Germany; and eKorea Institute of Ocean Science and Technology, Ansan 426-744, South Korea Edited by Christopher J. R. Garrett, University of Victoria, Victoria, BC, Canada, and approved March 27, 2015 (received for review September 1, 2014) Phytoplankton have attracted increasing attention in climate suggested substantial future changes in global phytoplankton, with science due to their impacts on climate systems. A new generation the opposite sign of their trends in different regions (15–17). Such of climate models can now provide estimates of future climate climate change-induced phytoplankton response would impact cli- change, considering the biological feedbacks through the development mate systems, given the aforementioned biological feedbacks. of the coupled physical–ecosystem model. Here we present the geo- Previous studies discovered an increase in the annual area- physical impact of phytoplankton, which is often overlooked in future integrated primary production in the Arctic, which is caused by the climate projections. A suite of future warming experiments using a fully thinning and melting of sea ice and the corresponding increase in coupled ocean−atmosphere model that interacts with a marine ecosys- the phytoplankton growing area (18, 19). -
Cold Season Emissions Dominate the Arctic Tundra Methane Budget
Cold season emissions dominate the Arctic tundra methane budget Donatella Zonaa,b,1,2, Beniamino Giolic,2, Róisín Commaned, Jakob Lindaasd, Steven C. Wofsyd, Charles E. Millere, Steven J. Dinardoe, Sigrid Dengelf, Colm Sweeneyg,h, Anna Kariong, Rachel Y.-W. Changd,i, John M. Hendersonj, Patrick C. Murphya, Jordan P. Goodricha, Virginie Moreauxa, Anna Liljedahlk,l, Jennifer D. Wattsm, John S. Kimballm, David A. Lipsona, and Walter C. Oechela,n aDepartment of Biology, San Diego State University, San Diego, CA 92182; bDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, United Kingdom; cInstitute of Biometeorology, National Research Council, Firenze, 50145, Italy; dSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; eJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109-8099; fDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland; gCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80304; hEarth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305; iDepartment of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada B3H 4R2; jAtmospheric and Environmental Research, Inc., Lexington, MA 02421; kWater and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775-7340; lInternational Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775-7340; mNumerical Terradynamic Simulation -
Downloaded 09/28/21 01:47 AM UTC 8414 JOURNAL of CLIMATE VOLUME 27
15 NOVEMBER 2014 Z H A N G A N D L I 8413 A Simple Analytical Model for Understanding the Formation of Sea Surface Temperature Patterns under Global Warming* LEI ZHANG Department of Atmospheric Sciences, University of Hawai‘i at Manoa, Honolulu, Hawaii TIM LI Department of Atmospheric Sciences, University of Hawai‘i at Manoa, Honolulu, Hawaii, and Climate Dynamics Research Center/Earth System Modeling Center, International Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China (Manuscript received 13 May 2014, in final form 12 August 2014) ABSTRACT How sea surface temperature (SST) changes under global warming is critical for future climate projection because SST change affects atmospheric circulation and rainfall. Robust features derived from 17 models of phase 5 of the Coupled Model Intercomparison Project (CMIP5) include a much greater warming in high latitudes than in the tropics, an El Niño–like warming over the tropical Pacific and Atlantic, and a dipole pattern in the Indian Ocean. However, the physical mechanism responsible for formation of such warming patterns remains open. A simple theoretical model is constructed to reveal the cause of the future warming patterns. The result shows that a much greater polar, rather than tropical, warming depends primarily on present-day mean SST and surface latent heat flux fields, and atmospheric longwave radiation feedback associated with cloud change further enhances this warming contrast. In the tropics, an El Niño–like warming over the Pacific and Atlantic arises from a similar process, while cloud feedback resulting from different cloud regimes between east and west ocean basins also plays a role. -
What the Geological Record Tells Us About Our Present and Future Climate
Downloaded from http://jgs.lyellcollection.org/ by guest on October 2, 2021 Perspective Journal of the Geological Society https://doi.org/10.1144/jgs2020-239 | Vol. 178 | 2020 | jgs2020-239 Geological Society of London Scientific Statement: what the geological record tells us about our present and future climate Caroline H. Lear1*, Pallavi Anand2, Tom Blenkinsop1, Gavin L. Foster3, Mary Gagen4, Babette Hoogakker5, Robert D. Larter6, Daniel J. Lunt7, I. Nicholas McCave8, Erin McClymont9, Richard D. Pancost10, Rosalind E.M. Rickaby11, David M. Schultz12, Colin Summerhayes13, Charles J.R. Williams7 and Jan Zalasiewicz14 1 School of Earth and Environmental Sciences, Cardiff University, Main Building, Park Place, CF10 3AT, UK 2 School of Environment Earth and Ecosystem Sciences, Open University, Walton Hall, Milton Keynes MK7 6AA, UK 3 National Oceanography Centre Southampton, University of Southampton, European Way, Southampton, SO14 3ZH, UK 4 Geography Department, Swansea University, Swansea, SA2 8PP, UK 5 Lyell Centre, Heriot Watt University, Research Avenue South, Edinburgh, EH14 4AP, UK 6 British Antarctic Survey, British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK 7 School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1SS, UK 8 Department of Earth Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EQ, UK 9 Department of Geography, Durham University, Lower Mountjoy, South Road, Durham, DH1 3LE, UK 10 School of Earth Sciences, University of Bristol, Wills Memorial -
Cloud Feedback Mechanisms and Their Representation in Global Climate Models Paulo Ceppi ,1* Florent Brient ,2 Mark D
Advanced Review Cloud feedback mechanisms and their representation in global climate models Paulo Ceppi ,1* Florent Brient ,2 Mark D. Zelinka 3 and Dennis L. Hartmann 4 Edited by Eduardo Zorita, Domain Editor and Editor-in-Chief Cloud feedback—the change in top-of-atmosphere radiative flux resulting from the cloud response to warming—constitutes by far the largest source of uncer- tainty in the climate response to CO2 forcing simulated by global climate models (GCMs). We review the main mechanisms for cloud feedbacks, and discuss their representation in climate models and the sources of intermodel spread. Global- mean cloud feedback in GCMs results from three main effects: (1) rising free- tropospheric clouds (a positive longwave effect); (2) decreasing tropical low cloud amount (a positive shortwave [SW] effect); (3) increasing high-latitude low cloud optical depth (a negative SW effect). These cloud responses simulated by GCMs are qualitatively supported by theory, high-resolution modeling, and observa- tions. Rising high clouds are consistent with the fixed anvil temperature (FAT) hypothesis, whereby enhanced upper-tropospheric radiative cooling causes anvil cloud tops to remain at a nearly fixed temperature as the atmosphere warms. Tropical low cloud amount decreases are driven by a delicate balance between the effects of vertical turbulent fluxes, radiative cooling, large-scale subsidence, and lower-tropospheric stability on the boundary-layer moisture budget. High- latitude low cloud optical depth increases are dominated by phase changes in mixed-phase clouds. The causes of intermodel spread in cloud feedback are dis- cussed, focusing particularly on the role of unresolved parameterized processes such as cloud microphysics, turbulence, and convection. -
The Rapidly Changing Arctic Environment
POLICY REPORT The rapidly changing Arctic environment Implications for policy and decision makers from the NERC Arctic Research Programme 2011-16 September, 2017 arch Pr se o e g r R a m c i t m c r e A Arctic Ofce NATURAL ENVIRONMENT NATURAL ENVIRONMENT RESEARCH COUNCIL RESEARCH COUNCIL The rapidly changing Arctic environment About the authors Table of Contents Authors: Dr Emma Wiik, Nikki Brown, Prof Sheldon Bacon, Executive summary.....................................1 Julie Cantalou, Gavin Costigan, Prof Mary Edwards Introduction...........................................2 Credited advisors: Dr Angus Best, Prof Ian Brooks, Henry Geographical areas covered by the report.................3 Burgess, Dr Michelle Cain, Prof Ed Hawkins, Dr Ivan Haigh, Dr Héctor Marín-Moreno, Prof Timothy Minshull, Dr Matthew Key findings of the NERC Arctic Research Programme ..... 4 Owen, Roland Rogers, Mark Stevenson, Prof Peter Talling, Question 1: What is causing the rapid changes Dr Bart van Dongen, Dr Maarten van Hardenbroek, in the Arctic at the moment? ......................... 4 Prof Mathew Williams, Prof Philip Wookey Question 2: What are the processes influencing We would further like to acknowledge the indirect inputs of all the release of greenhouse gases such as methane scientists and support personnel involved in the NERC Arctic and carbon dioxide – and how much of these gases Research Programme projects. could enter the atmosphere in future? .................. 7 Question 3: How can we improve our predictions of what will happen to the climate -
Tundra Ecosystems Observed to Be CO2 Sources Due to Differential Amplification of the Carbon Cycle
Ecology Letters, (2013) 16: 1307–1315 doi: 10.1111/ele.12164 REVIEW AND SYNTHESIS Tundra ecosystems observed to be CO2 sources due to differential amplification of the carbon cycle Abstract E. F. Belshe1* E. A. G. Schuur1 and Are tundra ecosystems currently a carbon source or sink? What is the future trajectory of tundra carbon B. M. Bolker2 fluxes in response to climate change? These questions are of global importance because of the vast quanti- 1 ties of organic carbon stored in permafrost soils. In this meta-analysis, we compile 40 years of CO2 flux Department of Biology, University observations from 54 studies spanning 32 sites across northern high latitudes. Using time-series analysis, of Florida, Gainesville, FL, 32611, we investigated if seasonal or annual CO2 fluxes have changed over time, and whether spatial differences USA in mean annual temperature could help explain temporal changes in CO flux. Growing season net CO 2Department of Mathematics and 2 2 uptake has definitely increased since the 1990s; the data also suggest (albeit less definitively) an increase in Statistics, McMaster University, Hamilton, ON, L8S 4K1, USA winter CO2 emissions, especially in the last decade. In spite of the uncertainty in the winter trend, we esti- mate that tundra sites were annual CO2 sources from the mid-1980s until the 2000s, and data from the last *Correspondence: 7 years show that tundra continue to emit CO2 annually. CO2 emissions exceed CO2 uptake across the E-mail: [email protected] range of temperatures that occur in the tundra biome. Taken together, these data suggest that despite increases in growing season uptake, tundra ecosystems are currently CO2 sources on an annual basis. -
Connections Between Tropical and Polar Climate Change Lead Institution
PROJECT TITLE: Connections between tropical and polar climate change Lead Institution: University of Exeter Lead Supervisor: Prof James Screen, University of Exeter, Mathematics Co-Supervisor: Dr Thomas Bracegirdle, British Antarctic Survey Co-Supervisor: Dr Doug Smith, Met Office, Hadley Centre Project Enquiries: [email protected] Arctic sea ice has declined rapidly in recent decades, in California drought has been linked to Arctic sea- large part due to manmade global warming. These two ice loss. Arctic sea-ice loss induces changes in the images visualise the summer sea ice cover in 1984 and global energy balance, effecting tropical rainfall. 2016, obtained from satellite observations. The thickest ice Decreased tropical convection then drives a is coloured whitest. This dramatic loss of sea ice may trigger northward propagating Rossby wave-train, further climatic changes across the planet, as far away as forming a ridge in the North Pacific, which steers the tropics. wet tropical air masses away from California. Project Background Despite being thousands of kilometres apart, climatic changes in the tropical and polar regions of the planet are highly interconnected. In recent decades, the Arctic has warmed more than twice as fast as the global average – a phenomenon known as Arctic amplification. Emerging evidence suggests that a substantial portion of Arctic warming may be driven remotely from the tropics. Yet, the atmospheric and oceanic processes through which the tropics influence the Arctic are not fully understood. There is also increasing recognition that the effects of Arctic warming are not limited to the Arctic: what happens in the Arctic doesn’t stay in the Arctic (see this explainer video: https://bit.ly/2Csj1Yg). -
Physical Drivers of Climate Change
Physical2 Drivers of Climate Change KEY FINDINGS 1. Human activities continue to significantly affect Earth’s climate by altering factors that change its radi- ative balance. These factors, known as radiative forcings, include changes in greenhouse gases, small airborne particles (aerosols), and the reflectivity of the Earth’s surface. In the industrial era, human activities have been, and are increasingly, the dominant cause of climate warming. The increase in radiative forcing due to these activities has far exceeded the relatively small net increase due to natural factors, which include changes in energy from the sun and the cooling effect of volcanic eruptions. (Very high confidence) 2. Aerosols caused by human activity play a profound and complex role in the climate system through radiative effects in the atmosphere and on snow and ice surfaces and through effects on cloud forma- tion and properties. The combined forcing of aerosol–radiation and aerosol–cloud interactions is neg- ative (cooling) over the industrial era (high confidence), offsetting a substantial part of greenhouse gas forcing, which is currently the predominant human contribution. The magnitude of this offset, globally averaged, has declined in recent decades, despite increasing trends in aerosol emissions or abundances in some regions (medium to high confidence). 3. The interconnected Earth–atmosphere–ocean system includes a number of positive and negative feedback processes that can either strengthen (positive feedback) or weaken (negative feedback) the system’s responses to human and natural influences. These feedbacks operate on a range of time scales from very short (essentially instantaneous) to very long (centuries). Global warming by net radiative forcing over the industrial era includes a substantial amplification from these feedbacks (approximate- ly a factor of three) (high confidence).