CESM Publications

Use the table of contents below or the side navigation to view publications by year.

AGU CESM2 Virtual Special Issue

Below you can find a list of manuscripts that are published, in press, and submitted from the AGU CESM2 Virtual Special Issue. View the complete AGU CESM2 Virtual Special Issue at the link below
https://agupubs.onlinelibrary.wiley.com/doi/toc/10.1002/(ISSN)1942-2466.CESM2

Special Issue Manuscripts

Published, in press, and submitted
  • Bonan, G. B., Lombardozzi, D. L., Wieder, W. R., Oleson, K. W., Lawrence, D. M., Hoffman, F. M., & Collier, N. (2019). Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014). Global Biogeochemical Cycles, 33.
    https://doi.org/10.1029/2019GB006175
  • Danabasoglu, G., Lamarque, J. -F., Bachmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., Hannay, C., Holland, M. M., Large, W. G., Lawrence, D. M., Lenaerts, J. T. M., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kember, B., Kay, J. E., Kinnison, D., Kushner, P. J., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., Strand, W. G. The Community Earth System Model version 2 (CESM2). Manuscript submitted for publication to Journal of Advances in Modeling Earth Systems
    View PDF
  • Emmons, L. K., Orlando, J. J., Tyndall, G., Schwantes, R. H., Kinnison, D., Lamarque, J. -F., Marsh, D., Mills, M., Tilmes, S., Buchholtz, R. R., Gettelman, A., Garcia, R., Simpson, I., Blake, D. R., Pétron, G. The Chemistry Mechanism in the Community Earth System Model version 2 (CESM2). Manuscript submitted for publication.
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  • Fisher, R. A., Wieder, W. R., Sanderson, B., Koven, C. D., Oleson, K. W., Xu, C., et al. (2019). Parametric controls on vegetation responses to biogeochemical forcing in the CLM5. Journal of Advances in Modeling Earth Systems, 11.
    https://doi.org/10.1029/2019MS001609 PDF
  • Gettelman, A., Callaghan, P., Larson, V. E., Zarzycki, C. M., Bacmeister, J. T., Lauritzen, P. H., et al. (2018). Regional climate simulations with the Community Earth System Model. Journal of Advances in Modeling Earth Systems, 10, 1245– 1265.
    https://doi.org/10.1002/2017MS001227 PDF
  • Gettelman, A., Hannay, C., Bacmeister, J. T., Neale, R. B., Pendergrass, A. G., Danabasoglu, G., et al. (2019). High climate sensitivity in the Community Earth System Model Version 2 (CESM2). Geophysical Research Letters, 46, 8329– 8337.
    https://doi.org/10.1029/2019GL083978
  • Gettelman, A., Truesdale, J. E., Bacmeister, J. T., Caldwell, P. M., Neale, R. B., Bogenschutz, P. A., & Simpson, I. R. (2019). The Single Column Atmosphere Model version 6 (SCAM6): Not a scam but a tool for model evaluation and development. Journal of Advances in Modeling Earth Systems, 11, 1381– 1401.
    https://doi.org/10.1029/2018MS001578 PDF
  • Gettelman, A., M. J. Mills, D. E. Kinnison, R. R. Garcia, A.K. Smith, D.R. Marsh, S. Tilmes, F. Vitt, C. G. Bardeen, J. McInerny, H.-L. Liu, S. C. Solomon, L. M. Polvani, L. K. Emmons, J.-F. Lamarque, J. H. Richter, A. S. Glanville, J. T. Bacmeister, A. S. Phillips, R. B. Neale, I. R. Simpson, A. K. DuVivier, A. Hodzic, W. J. Randel (2019). The Whole Atmosphere Community Climate Model Version 6 (WACCM6), in press, J. Geophys. Res. Atmos.
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  • Herrington A., Lauritzen, P. H., Reed, K. A., Goldhaber, S., & Eaton, B. E. (2019). Exploring a lower‐resolution physics grid in CAM‐SE‐CSLAM. Journal of Advances in Modeling Earth Systems, 11, 1894– 1916
    https://doi.org/10.1029/2019MS001684 PDF
  • Kennedy, D., Swenson, S., Oleson, K. W., Lawrence, D. M., Fisher, R., Lola da Costa, A. C., & Gentine, P. (2019). Implementing plant hydraulics in the Community Land Model, version 5. Journal of Advances in Modeling Earth Systems, 11, 485– 513.
    https://doi.org/10.1029/2018MS001500 PDF
  • Lenaerts, J. T., Gettelman, A., Va Tricht, K., van Kampenhout, L., Miller, N. B., Impact of cloud physics on the Greenland Ice Sheet surface climate: a study with the Community Atmosphere Model. Manuscript submitted for publication to JGR: Atmospheres
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  • Lauritzen, P. H., Nair, R. D., Herrington, A. R., Callaghan, P., Goldhaber, S., Dennis, J. M., et al. (2018). NCAR release of CAM‐SE in CESM2.0: A reformulation of the spectral element dynamical core in dry‐mass vertical coordinates with comprehensive treatment of condensates and energy. Journal of Advances in Modeling Earth Systems, 10, 1537– 1570.
    https://doi.org/10.1029/2017MS001257 PDF
  • Lauritzen, P. H., & Williamson, D. L. (2019). A total energy error analysis of dynamical cores and physics‐dynamics coupling in the Community Atmosphere Model (CAM). Journal of Advances in Modeling Earth Systems, 11, 1309– 1328.
    https://doi.org/10.1029/2018MS001549 PDF
  • K. W. Oleson and J. Feddema. Parameterization and surface data improvements and new capabilities for the Community Land Model Urban (CLMU). Manuscript submitted for publication.
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  • Sun, Q., M.M. Whitney, F.O. Bryan, & Y.-H Tseng, (2019). Assessing the skill of the improved treatment of riverine freshwater in the Community Earth System Model (CESM) relative to a new salinity climatology. Journal of Advances in Modeling Earth Systems, 11, 1189– 1206.
    https://doi.org/10.1029/2018MS001349 PDF
  • S. Tilmes, A. Hodzic, L. K. Emmons, M. J. Mills, A. Gettelman, D. E. Kinnison, M. Park, J.-F. Lamarque, F. Vitt, M. Shrivastava, P. Campuzano Jost, J. Jimenez, X. Liu. Climate forcing and trends of organic aerosols in the Community Earth System Model (CESM2). Manuscript submitted for publication.
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  • van Kampenhout, L., Lenaerts, J. T. M., Lipscomb, W. H., Lhermitte, S., Nöel, B., Vizcaino, M., Sacks, W. J., van den Broeke, M. R. Greenland ice sheet climate and surface mass balance in CESM2. Manuscript submitted for publication to JGR: Earth Surface
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  • Wieder, W. R., Lawrence, D. M., Fisher, R. A., Bonan, G. B., Cheng, S. J., Goodale, C. L., et al (2019). Beyond static benchmarking: Using experimental manipulations to evaluate land model assumptions. Global Biogeochemical Cycles, 33.
    https://doi.org/10.1029/2018GB006141
  • Woelfle, M. D., Bretherton, C. S., Hannay, C., & Neale, R. (2019). Evolution of the double‐ITCZ bias through CESM2 development. Journal of Advances in Modeling Earth Systems, 11, 1873– 1893.
    https://doi.org/10.1029/2019MS001647 PDF
  • Lawrence, D.M. R.A. Fisher, C.D. Koven, K.W. Oleson, S.C. Swenson, G. Bonan, N. Collier, B. Ghimire, L. van Kampenhout, D. Kennedy, E. Kluzek, P.J. Lawrence, F. Li, H. Li, D. Lombardozzi, W.J. Riley, W.J. Sacks, M. Shi, M. Vertenstein, W.R. Wieder,, C. Xu, A.A. Ali, A.M. Badger, G. Bisht, M.A. Brunke, S.P. Burns,, J. Buzan, M. Clark, A. Craig, K. Dahlin, B. Drewniak, J.B. Fisher, M. Flanner, A.M. Fox, P. Gentine, F.Hoffman, G. Keppel-Aleks, R., Knox, S. Kumar, J. Lenaerts, L.R. Leung, W.H. Lipscomb, Y. Lu, A., Pandey, J.D. Pelletier, J. Perket,, J.T. Randerson, D.M. Ricciuto, B.M., Sanderson, A. Slater, Z.M. Subin, J. Tang, R.Q. Thomas, M. Val Martin, and X. Zeng, 2019. The Community Land Model Version 5: Description of new features, benchmarking, and impact of forcing uncertainty. In revision to Journal of Advances in Modeling Earth Systems.
    PDF ]

Planned Manuscripts for the Special Issue

View the complete list of anticipated publications for each CESM Working Group as an excel file here

All Publications

Below you can find a list of publications that use CESM simulations or data as well as how to acknowledge CESM if you use in your publications.

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Citation
Abalos, M., W. J. Randel, D. E. Kinnison, and E. Serrano, 2013: Quantifying tracer transport in the tropical lower stratosphere using WACCM. Atmos. Chem. Phys., 13, 10591-10607, doi:10.5194/acp-13-10591-2013.
Abe-Ouchi, A., et al., 2015: Ice-sheet configuration in the CMIP5/PMIP3 Last Glacial Maximum experiments. Geosci. Model Dev., 8, 3621-3637.
Abbot, D. S., M. Huber, G. Bousquet, and C. C. Walker, 2009: High-CO2 cloud radiative forcing feedback over both land and ocean. Geophys. Res. Lett., L05702, doi:10.1029/2008GL036703.
Abiodun, B. J., J. M. Prusa, and W. J. Gutowski, 2008: Implementation of a non-hydrostatic, adaptive-grid dynamics core in CAM3. Part I: Comparison of dynamics cores in aqua-planet simulations. Clim. Dynamics, 31, 795-810 doi:10.1007/s00382-008-0381-y.
Abiodun, B. J., W. J. Gutowski, and J. M. Prusa, 2008: Implementation of a non-hydrostatic, adaptive-grid dynamics core in CAM3. Part II: Dynamical Influences on ITCZ behavior and tropical precipitation. Clim. Dynamics, 31, 811-822, doi:10.1007/s00382-008-0382-x.
Abiodun, B. J., W. J. Gutowski, A. A. Abatan, and J. M. Prusa, 2011: CAM-EULAG: A non-hydrostatic atmospheric climate model with grid stretching. Acta Geophysica, 59, 1158-1167, doi:10.2478/s1160-011-0032-2.
Acosta Navarro, J. C., V. Varma, I. Riipinen, O. Seland, A. Kirkevag, H. Struthers, T. Iversen, H. -C. Hansson, and A. M. L. Ekman, 2016: Amplification of Arctic warming by past air pollution reductions in Europe. Nature Geoscience, 9, doi:10.1038/ngeo2673.
Acosta, R. P., and M. Huber, 2017: The neglected Indo-Gangetic Plains low-level jet and its importance for moisture transport and precipitation during the peak summer monsoon. Geophys. Res. Lett., 44, 8601–8610, doi:10.1002/2017GL074440.
Aghedo, A. M., K. W. Bowman, H. M. Worden, S. S. Kulawik, D. T. Shindell, J.-F. Lamarque, G. Faluvegi, M. Parrington, D. B. A. Jones, and S. Rast, 2011: The vertical distribution of ozone instantaneous radiative forcing from satellite and chemistry climate models. J. Geophys. Res., 116, D01304, doi:10.1029/2010JD014637.
Akkermans, T., W. Thiery, and N. P. M. van Lipzig, 2014: The regional climate impact of a realistic future deforestation scenario in the Congo Basin. J. Climate, 27, 2714-2734, doi:10.1175/JCLI-D-13-00361.1.
Albani, S., N. M. Mahowald, A. T. Perry, R. A. Scanza, N. G. Heavens, C. S. Zender, V. Maggi, J. F. Kok, and B. L. Otto-Bliesner, 2014: Improved dust representation in the Community Atmosphere Model. Journal of Advances in Modeling Earth Systems, 06, 541-570, doi: 10.1002/2013MS000279.
Albani, S., et al., 2015: Twelve thousand years of dust: The Holocene global dust cycle constrained by natural archives. Clim. Past, 11, 869-903.
Alexander, L. V., and J. M. Arblaster, 2009: Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. Int. J. Climatol., 29, 417-435, doi:10.1002/joc.1730.
Alexander, M. A., U. S. Bhatt, J. Walsh, M. Timlin, and J. Miller, 2004: The atmospheric response to realistic arctic sea ice anomalies in an AGCM during winter. J. Climate, 17, 890-905.
Alexander, M., J. Yin, G. Branstator, A. Capotondi, C. Cassou, R. Cullather, Y-O. Kown, J. Norris, J. Scott, and I. Wainer, 2006: Extratropical atmosphere-ocean variability in CCSM3. J. Climate, 19 (11), 2496-2525.
Alexander, M. A., R. Tomas, C. Deser, and D. M. Lawrence, 2010: The atmospheric response to projected terrestrial snow changes in the late 21st Century. J. Climate, doi:10.1175/2010JCLI3899.1.
Alexander, M. J., et al., 2010: Recent developments in gravity-wave effects in climate models and the global distribution of gravity-wave momentum flux from observations and models. Q. J. of the Royal Met. Soc., 136 (650), 1103-1124, doi:10.1002/qj.637.
Alexander M. A., J. D. Scott, K. D. Friedland, K. E. Mills, J. A. Nye, A. J. Pershing, and A. C. Thomas, 2018: Projected sea surface temperatures over the 21st century: Changes in the mean, variability and extremes for large marine ecosystem regions of Northern Oceans. Elementa: Science of the Anthropocene, 6, doi: 10.1525/elementa.191.
Alexeef, S., D. Nychka, S. R. Sain, and C. Tebaldi, 2016: Emulating mean patterns and variability of temperature across and within scenarios in anthropogenic climate experiments. Climatic Change, 1-15, doi:10.1007/s10584-016-1809-8.
Alexeev, V. A., D. J. Nicolsky, V. E. Romanovsky, and D. M. Lawrence, 2007: An evaluation of deep soil configurations in the CLM3 for improved representation of permafrost. Geophys. Res. Lett, 34, L09502, doi:10.1029/2007GL029536.
Ali, J., and M. Huber, 2010: Mammalian biodiversity on Madagascar controlled by ocean currents. Nature, 463, 653-656, doi:10.1038/nature08706.
Allen, R. J., and O. Ajoku, 2016: Guture aerosol reductions and widening of the northern tropical beld. J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD024803.
Allstadt, A. J., S. J. Vavrus, P. J. Heglund, A. M. Pidgeon, W. E. Thogmartin, and V. C. Radeloff, 2015: Changes in spring onset and false springs in the conterminous U.S. during the 21st century. Env. Res. Lett., doi:10.104008.
Alo, C., and G. L. Wang, 2008: Hydrological impact of the potential future vegetation response to climate changes projected by 8 GCMs. J. Geophys. Res. – Biogeosciences, 113, G03011, doi:10.1029/2007JG000598.
Alo, C., and G. L. Wang, 2008: Potential future changes of the terrestrial ecosystem based on climate projections by eight general circulation models. J. Geophys. Res. – Biogeosciences, 113, G01004, doi:10.1029/2007JG000528.
Alo, C. A., and G. L. Wang, 2010: Role of vegetation dynamics in regional climate predictions over western Africa. Clim. Dyn., 35, 907-922, doi:10.1007/s00383-010-0744-z.
Alterskjær, K., J. E. Kristjánsson, and C. Hoose, 2010: Do anthropogenic aerosols enhance or suppress the surface cloud forcing in the Arctic? J. Geophys. Res., 115, D22204, doi:10.1029/2010JD014015.
Ammann, C., G. A. Meehl, W. M. Washington, and C. Zender, 2003: A monthly and latitudinally varying volcanic forcing dataset in simulations of 20th century climate. Geophys. Res. Lett., 30, doi:10.10292003GL016875RR.
Ammann, C. M., F. Joos, D. S. Schimel, B. L. Otto-Bliesner, and R. A. Tomas, 2007: Solar influence on climate during the past millennium: results from transient simulations with the NCAR Climate System Model. Proc. National Academy Sci., 104, 3713-3718.
Ammann, C. M., W. M. Washington, G. A. Meehl, L. Buja, and H. Teng, 2010: Climate engineering through artificial enhancement of natural forcings: Magnitudes and implied consequences. J. Geophys. Res., 115, D22109, doi:10.1029/2009JD012878.
Amstrup, S. C., E. DeWeaver, D. C. Douglas, B. G. Marcot, G. M. Durner, C. M. Bitz, D. A. Bailey, 2010: Greenhouse gas mitigation can reduce sea-ice loss and increase polar bear persistence. Nature, doi:10.1038/nature09654.
Anderson, B. T., and E. D. Maloney, 2006: Interannual tropical Pacific sea-surface temperatures and their relation to preceding sub-tropical sea level pressures in the NCAR CCSM2.0. J. Climate, 19, 998-1012.
Anderson, G. B., K. W. Oleson, B. Jones, and R. D. Peng, 2016: Classifying heatwaves: Developing health-based models to predict high-mortality versus moderate United States heatwaves. Climatic Change, doi:10.1007/s10584-016-1776-0.
Anderson, G. B., K. W. Oleson, B. Jones, and R. D. Peng, 2016: Projected trends in high-mortality heatwaves under different scenarios of climate, population, and adaptation in 82 US communities. Climatic Change, doi:10.1007/s10584-016-1779-x.
Anderson, J. L., 2009: Ensemble Kalman filters for large geophysical applications. IEEE Control Systems Magazine, 29 (3), 66-82.
Anderson, J., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Arellano, 2009: The Data Assimilation Research Testbed: A Community Facility. Bulletin of the American Meteorological Society, 90 (9), 1283-1296.
Anderson, R. G., M. -H. Lo, S. Swenson, J. S. Famiglietti, Q. Tang, T. H. Skaggs, Y. –H. Lin, and R. –J. Wu, 2015: Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models. Geosci. Model Dev., 8, 3021-3031, doi:10.5194/gmd-8-3021-2015.
Andersson, M. E., P. T. Verronen, D. R. Marsh, S. M. Paivarinta, and J. M. C. Plane, 2016: WACCM-D – Improved modeling of nitric acid and active chlorine during energet particle precipitation. J. Geophys. Res.-Atmos., doi:10.1002/2015JD024173.
Angelil, O., D. A. Stone, M. Tadross, F. Tummon, M. Wehner, and R. Knutti, 2014: Attribution of extreme weather to anthropogenic greenhouse gas emissions: Sensitivity to spatial and temporal scales. Geophysical Review Letters, 41, 2150-2155, doi:10.1002/2014GL059234.
Angelil, O., S. Perkins-Kirkpatrick, L. Alexander, D. Stone, M. Donant, M. Wehner, H. Shiogama, A. Ciavarella, and N. Christidis, 2016: Comparing regional precipitation and temperature extremes in climate model and reanalysis products. Weather and Climate Extremes, 13, 35-53, doi:10.1016/j.wace.2016.07.001.
Angelil, O., D. Stone, M. Wehner, C. J. Paciorek, H. Krishnan, and W. Collins, 2017: An independent assessment of anthropogenic attribution statements for recent extreme weather events. J. Climate, 30, 5-16, doi:10.1175/JCLI-D-16-0077.1.
Angelil, O., D. Stone, S. Perkins-Kirkpatrick, L. Alexander, M. Wehner, H. Shiogama, P. Wolski, A. Ciavarella, and N. Christidis, 2017: On the nonlinearity of spatial scales in extreme weather attribution statements. Clim. Dyn., doi:10.1007/s00382-017-3768-9.
Angert, A., J. E. Lee, and D. Yakir, 2008: Seasonal variations in the isotopic composition of near surface water vapor in the Eastern-Mediterranean. Tellus B, 60B, 674-684 doi:10.1111/j.1600-0889.2008.00357.x.
Arain, M. A., E. J. Burke, Z.-L. Yang, and W. J. Shuttleworth, 1999: Implementing surface parameter aggregation rules in the CCM3 global climate model: Regional responses at the land surface. Hydrology and Earth System Sciences, 3 (4), 463-476.
Aranibar, J. N., J. A. Berry, W. J. Riley, D. E. Pataki, B. E. Law, and J. R. Ehleringer, 2006: Combining meteorology, eddy fluxes, isotope measurements, and modeling to understand environmental controls of carbon isotope discrimination at the canopy scale. Global Change Biology, 12, ISI:000236549600010710-730.
Arblaster, J. M., G. A. Meehl, and A. Moore, 2002: Interdecadal modulation of Australian rainfall. Clim. Dyn., 18, 519-531.
Arblaster, J. M., and G. A. Meehl, 2006: Contribution of various external forcings to trends in the Southern Annular Mode. J. Climate, 19, 2896–2905.
Arblaster J. M., G. A. Meehl, and D. J. Karoly, 2011: Future climate change in the Southern Hemisphere: Competing effects of ozone and greenhouse gases. Geophys. Res. Lett., 38, L02701, doi:10.1029/2010GL045384.
Arblaster, J. M., and L. V. Alexander, 2012: The impact of the El Nino-Southern Oscillation on maximum temperature extremes. Geophys. Res. Lett., 39(20), L20702, doi:10.1029/2012GL053409.
Archer, C. L., and K. Caldeira, 2009: Global assessment of high-altitude wind power.Energies, 2 (2), 307-319; doi:10.3390/en20200307.
Archibald, R. K., K. J. Evans, and A. G. Salinger, 2015: Accelerating time integration for climate modeling ssing GPUs. Procedia Computer Science, 51, 2046-2055.
Arellano, A. F., K. Raeder, J. Anderson, P. Hess, L. Emmons, D. Edwards, G. Pfister, T. Campos, and G. Sachse, 2007: Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission. Atmos. Chem. Phys., 7, 5695-5710.
Arellano, A. F., P. G. Hess, D. P. Edwards, and D. Baumgardner, 2010: Constraints on black carbon aerosol distribution from Measurement of Pollution In The Troposphere (MOPITT) CO. Geophys. Res. Lett., 37, L17801, doi:10.1029/2010GL044416.
Armour, K. C., I. Eisenman, E. Blanchard-Wrigglesworth, K. E. McCusker, and C. M. Bitz, 2011: The reversibility of sea ice loss in a state-of-the-art climate model. Geophys. Res. Lett., 38, L16705, doi:10.1029/2011GL048739.
Armour, K. C., C. M. Bitz, and G. H. Row, 2013: Time-varying climate sensitivity from regional feedbacks. J. Climate, 26, 4518-5434, doi:10.1175/jcli-d-12-11544.1.
Armour K. C., J. Marshall, J. Scott, A. Donohoe, and E. R. Newsom, 2016: Southern Ocean warming delayed by circumpolar upwelling and equatorward transport. Nature Geoscience, 9, 549–554, doi:10.1038/ngeo2731.
Arnold, S. R., et al., 2015: Biomass burning influence on high-altitude tropospheric ozone and reactive nitrogen in summer 2008: A multi-model analysis based on POLMIP simulations. Atmos. Chem. Phys., 15, 6047-6068, doi:10.5194/acp-15-6047-2015.
Arnone, E., A. K. Smith, C. F. Enell, A. Kero, and B. M. Dinelli, 2014: WACCM climate-chemistry sensitivity to sprite perturbations. J Geophys Res-Atmos, 119(11), 6958–6970, doi:10.1002/2013JD020825.
Arora, V. K., et al., 2013: arbon-concentraiton and carbon-climate feedbacks in CMIP5 Earth System Models. J. Climate, 26, 5289-5314, doi:10.1175/JCLI-D-12-00494.1.
Arruda, R., P. H. R. Calil, A. A. Bianchi, S. C. Doney, N. Gruber, I. Lima, and G. Turi, 2015: Air-sea CO2 fluxes and the controls on ocean surface pCO2 seasonal variability in the coastal and open-ocean southwestern Atlantic Ocean: A modeling study. Biogeosciences, 12, 5793-5809, doi:10.5194/bg-12-5793-2015.
Asefi-Najafabady S., K. Vandekar, A. Seimon, P. Lawrence, D. Lawrence, 2018: Climate change, population and poverty: vulnerability and exposure to heat stress in East Africa. Climatic Change, doi:10.1007/s10584-018-2211-5.
Ault, T. R., J. E. Cole, J. T. Overpeck, G. T. Pederson, S. S. George, B. Otto-Bliesner, C. A. Woodhouse, and C. Deser, 2013: The continuum of hydroclimate variability in western North America during the last millennium. J. Climate, 26, 5863-5878.
Austin, J. et al., 2008: Coupled chemistry climate model simulations of the solar cycle in ozone and temperature. J. Geophys. Res., 113, D11306, doi:10.1029/2007JD009391.
Austin, J., et al., 2009: Coupled chemistry climate model simulations of stratospheric temperatures and their trends for the recent past. Geophys. Res. Lett., 36, L13809, doi:10.1029/2009GL038462.
Austin, J., et al., 2010: The decline and recovery of total column ozone using a multi-model time series analysis. J. Geophys. Res., 115, D00M10, doi:10.1029/2010JD013857.
Austin, J., et al., 2010: Chemistry climate model simulations of the Antarctic ozone hole. J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577.
Aydogdu, A., N. Pinardi, E. Ozsoy, G. Danabasoglu, O. Gurses, and A. Karspeck, 2018: Circulation of the Turkish Straits System under interannual atmospheric forcing. Ocean Sci., 14, 999-1019, doi: 10.5194/os-14-999-2018.
Back, L., K. Russ, Z. Liu, K. Inoue, J. Zhang, and B. Otto-Bliesner, 2013: Global hydrological cycle response to rapid and slow global warming. J. Climate, 26, 8781-8786.
Bacmeister, J., P. H. Lauritzen, A. Dai, and J. E. Truesdale, 2011: Assessing possible dynamical effects of condensate in high resolution climate simulations. Geophys. Res. Lett.,39, L04806, doi:10.1029/2011GL050533.
Bacmeister, J. T., R. B. Neale, A. Gettelman, C. Hannay, P. H. Lauritzen, J. Caron, J. Truesdale, and M. Wehner, 2014: Exploratory high-resolution climate simulations using the Community Atmosphere Model (CAM). J. Climate, 27, 3073-3099. doi:10.1175/JCLI-D-13-00387.1.
Bacmeister, J. T., K. A. Reed, C. Hannay, P. Lawrence, S. Bates, J. Truesdale, N. Rosenbloom, and M. Levy, 2018: Projected changes in tropical cyclone activity under future warming scenarios using a high-resolution climate model. Climatic Change, 146, 547-560, doi:10.1007/s10584-016-1750-x.
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Acknowledgements in CESM Papers

When you use CESM simulations in your publications, it is very important to acknowledge our primary sponsor, the National Science Foundation (NSF).

Appropriate acknowledgment of the NSF sponsorship:

The CESM project is supported primarily by the National Science Foundation.

The NCAR authors must additionally use the following sentence in their publications:

This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement No. 1852977.

Regarding computing, for CESM simulations performed at NCAR or for papers analyzing CMIP6 simulations performed at NCAR:

Computing and data storage resources, including the Cheyenne supercomputer (doi:10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. NCAR is sponsored by the National Science Foundation.

To acknowledge contributions of CESM developers:

We thank all the scientists, software engineers, and administrators who contributed to the development of CESM2.

Full acknowledgment example for a manuscript using CESM simulations with an NCAR co-author:

The CESM project is supported primarily by the National Science Foundation (NSF). This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the NSF under Cooperative Agreement No. 1852977. Computing and data storage resources, including the Cheyenne supercomputer (doi:10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. We thank all the scientists, software engineers, and administrators who contributed to the development of CESM2.

Please refer to the following web site for additional guidelines on how to acknowledge NSF on web sites, media interviews, etc.

https://news.ucar.edu/comms-office/nsf-acknowledgment

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