Publications
Below you can find a list of publications that used CESM in their research as well as how to acknowledge CESM if you use in your publications. These publications include AGU CESM2 Virtual Special Issue and all publications that used CESM simulations or data.
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AGU CESM2 Virtual Special Issue
You can find a list of manuscripts that are published, in press, and submitted from the complete AGU CESM2 Virtual Special Issue webpage.
To understand CESM2 and the AGU CESM2 Special Issue more, you can view the EOS piece by Gokhan Danabasoglu and Jean-François Lamarque.
All Publications
Below you can find a list of publications that use CESM simulations or data.
| 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. |
| 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. |
| Abe-Ouchi, A., et al., 2015: Ice-sheet configuration in the CMIP5/PMIP3 Last Glacial Maximum experiments. Geosci. Model Dev., 8, 3621-3637. |
| 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, 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. |
| 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. |
| 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 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. |
| 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., 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. 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., 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., 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. |
| 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. 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. |
| 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. |
| 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. 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. |
| 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. |
| 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., 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. |
| 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. |
| 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 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., 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., 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., 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. |
| 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., 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. |
| 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: Chemistry climate model simulations of the Antarctic ozone hole. J. Geophys. Res., 115, D00M11, doi:10.1029/2009JD013577. |
| 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. |
| 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. T., Hannay C., Medeiros B., Gettelman A., Neale R., Fredriksen H. B., Lipscomb W. H., Simpson I., Bailey D. A., Holland M., Lindsay K., Otto-Bliesner B. (2020). CO2 increase experiments using the Community Earth System Model (CESM): Relationship to climate sensitivity and comparison of CESM1 to CESM2. Manuscript submitted for publication to Journal of Advances in Modeling Earth Systems. View PDF |
| Bacmeister J. T., Hannay C., Medeiros B., Gettelman A., Neale R., Fredriksen H. B., Lipscomb W. H., Simpson I., Bailey D. A., Holland M., Lindsay K., Otto-Bliesner B. (2020). CO2 increase experiments using the Community Earth System Model (CESM): Relationship to climate sensitivity and comparison of CESM1 to CESM2. Manuscript submitted for publication to Journal of Advances in Modeling Earth Systems. View PDF |
| 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. |
| 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., 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. |
| Badger, A. M., and P. A. Dirmeyer, 2015: Climate response to Amazon forest replacement by heterogeneous crop cover. Hydrology and Earth System Sciences Discussions, 12(1), 879-910, doi:10.5194/hessd-12-879-2015. |
| Badger, A. M., and P. A. Dirmeyer, 2015: Remote tropical and sub-tropical response to Amazon deforestation. Clim. Dyn., doi:10.1007/s00382-015-2752-5. |
| Badlan, R. L., T. P. Lane, M. W. Moncrieff, and C. Jakob, 2017: Insights into convective momentum transport and its parameterization from idealized simulations of organized convection. Quart. J. Royal Meteor. Soc., 143, 2687-2702, doi:10.1002/qj.3118. |
| Baer, F., H. Wang, J. J. Tribbia, and A. Fournier, 2006: Climate modeling with spectral elements. Mon. Wea. Rev., 134 (12), 3610-3624. |
| Bailey D. A., Holland M. M., DuVivier A. K., Hunke E. C., Turner A. K. (2020). Impact of a New Sea Ice Thermodynamic Formulation in the CESM2 sea ice component. Manuscript submitted for publication to Journal of Advances in Modeling Earth Systems. View PDF |
| Bailey D. A., Holland M. M., DuVivier A. K., Hunke E. C., Turner A. K. (2020). Impact of a New Sea Ice Thermodynamic Formulation in the CESM2 sea ice component. Manuscript submitted for publication to Journal of Advances in Modeling Earth Systems. View PDF |
| Baker, A. H., D. J. Milroy, D. M. Hammerling, and H. Xu, 2017: Quality assurance and error identification for the Community Earth System Model. In Proceedings of Correctness’17: First International Workshop on Software Correctness for HPC Applications (Correctness’17). ACM, New York, NY, USA, 6 pages doi:10.1145/3145344.3145491. |
| Baker, A. H., D. M. Hammerling, S. A. Mickelson, H. Xu, M. B. Stolpe, P. Naveau, B. Sanderson, I. Ebert-Uphoff, S. Samarasinghe, F. DeSimone, F. Carbone, C. N. Gencarelli, J. M. Dennis, J. E. Kay, and P. Lindstrom, 2016: Evaluating lossy data compression on climate simulation data within a large ensemble. Geoscientific Model Development, 9, 4381-4403, doi:10.5194/gmd-9-4381-2016. |
| Baker, A. H., H. Xu, D. M. Hammerling, S. Li, and J. Clyne, 2017: Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data, in J.M. Kunkel et al. (Eds.): ISC High Performance Workshops 2017, LNCS 10524, pp. 30–42, doi:10.1007/978-3-319-67630-2_3. |
| Baker, A. H., H. Xu, J. M. Dennis, M. N. Levy, D. Nychka, S. A. Mickelson, J. Edwards, M. Vertenstein, and A. Wegener, 2014: A methodology for evaluating the impact of data compression on climate simulation data. Proc. Of the 23rd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC14), Vancouver, Canada, pp. 203-214. |
| Baker, A. H., Y. Hu, D. M. Hammerling, Y. Tseng, X. Hu, X. Huang, F. O. Bryan, and G. Yang, 2016: Evaluation statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0). Geoscientific Model Development, 9, 2391-2406, doi:10.5194/gmd-9-2391-2016. |
| Baker, A. H., et al., 2015: A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0). Geosci. Model Dev., 8, 2829-2840, doi:10.5194/gmd-8-2829-2015. |
| Baker, D. F. et al., 2006: TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988-2003. Global Biogeochemical Cycles, 20 (1), doi:10.1029/2004GB002439. |
| Bakker, P., A. Schmittner, J. T. M. Lenaerts, A. Abe-Ouchi, D. Bi, M. R. van den Broeke, W.-L. Chan, A. Hu, R. L. Beadling, S. J. Marsland, S. H Mernild, O. A. Saenko, D. Swingedouw, A. Sullivan, and J. Yin, 2016: Fate of the Atlantic Meridional Overturning Circulation: Strong decline under continued warming and Greenland melting. Geophys. Res. Lett., 43, 12,252-12,260, doi:10.1002/2016GL070457. |
| Bakker, P., et al., 2013: Last interglacial temperature evolution: A model intercomparison. Climate of the Past, 9, 605-619, doi:10.5194/cp-9-605-2013. |
| Bakker, P., et al., 2014: Temperature trends during the Present and Last Interglacial periods - A multi-model-data comparison. Quaternary Science Reviews, 99, 224-243, doi:10.1016/j.quascirev.2014.06.031. |
| Bala, G., K. Caldeira, A. Mirin, M. Wickett, and C. Delire, 2005: Direct effects of CO2-fertilization on climate. Tellus B, doi:10.1111/j.1600-0889.2006.00210.x. |
| Bala, G., K. Caldeira, A. Mirin, M. Wickett, and C. Delire, 2005: Multi-century changes to global climate and carbon cycle model: Results from a coupled climate and carbon cycle model. J. Climate, 18, 4531-4544. |
| Bala, G., K. Caldeira, R. Nemani, L. Cao, G. Ban-Weiss, and H. Shin, 2010: Albedo-enhancement of marine clouds to counteract global warming: Impacts on hydrology. Clim. Dyn., doi:10.1007/s00382-010-0868-1. |
| Bala, G., K. Calderia, and R. Nemani, 2009: Fast versus slow response in climate change: Implication to the global hydrological cycle. Clim. Dyn., doi:10.1007/s00382-009-0583-y. |
| Bala, G., N. Devaraju, R. K. Chaturvedi, K. Caldeira, and R. Nemani, 2013: Nitrogen deposition: How important is it for global terrestrial carbon uptake? Biogeosciences Discussions, 10, 11,077-11,109, doi:10.5194/bgd-10-1107-2013. |
| Bala, G., P. B. Duffy, and K. E. Taylor, 2008: Impact of geoengineering schemes on the global hydrological cycle. Proceeding of the National Academy of Sciences, 105(22), 7664-7669. |
| Bala, G., R. B. Rood, A. Mirin, J. McClean, K. Achutarao, D. Bader, P. Gleckler, R. Neale, and P. Rasch, 2008: Evaluation of a CCSM3 simulation with a finite volume dynamical core for the atmosphere at 1° latitude x 1.25° longitude resolution. J. Climate, 21, 1467-1486. |
| Bala, G., R. B. Rood, D. Bader, A. Mirin, D. Ivanova, and C. Drui, 2008: Simulated Climate near Steep Topography: Sensitivity to Dynamical Methods for Atmospheric Transport. Geophys. Res. Lett., 35, L14807, doi:10.1029/2008GL033204. |
| Bala, G., S. Krishna, D. Narayanappa, L. Cao, K. Caldeira, and R. Nemani, 2013: An estimate of equilirium sensitivity of global terrestrial carbon cycle using NCAR CCSM4. Clim. Dyn., 40, 1672-1686, doi:10.1007/s00382-012-1495-9. |
| Bala, G., and B. Nag, 2011: Albedo enhancement over land to counteract global warming: Impacts on hydrological cycle. Clim. Dyn., doi:10.1007/s00382-011-1256-1. |
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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 U.S. National Science Foundation (NSF).
Appropriate acknowledgment of the NSF sponsorship:
The CESM project is supported primarily by the U.S. National Science Foundation.
The NSF NCAR authors must additionally use the following sentence in their publications:
This material is based upon work supported by the NSF National Center for Atmospheric Research, which is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement No. 1852977.
Regarding computing, for CESM simulations performed at NSF NCAR or for papers analyzing CMIP6 simulations performed at NSF 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 NSF NCAR. NSF NCAR is sponsored by the U.S. National Science Foundation.
To acknowledge contributions of CESM developers:
We thank all the scientists, software engineers, and administrators who contributed to the development of CESM.
Full acknowledgment example for a manuscript using CESM simulations with an NSF NCAR co-author:
The CESM project is supported primarily by the U.S. National Science Foundation (NSF). This material is based upon work supported by the NSF 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 NSF NCAR. We thank all the scientists, software engineers, and administrators who contributed to the development of CESM.
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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