Journal Publications



  1. Abeshu, G. W., Li, H.-Y., Zhu, Z., Tan, Z., & Leung, L. R. (2022). Median bed-material sediment particle size across rivers in the contiguous US. Earth System Science Data, 14(2), 929–942.
  2. Begeman, C. B., Asay-Davis, X., & Van Roekel, L. (2022). Ice-shelf ocean boundary layer dynamics from large-eddy simulations. The Cryosphere, 16(1), 277–295.
  3. Burrows, S. M., Easter, R. C., Liu, X., Ma, P.-L., Wang, H., Elliott, S. M., et al. (2022). OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) sea spray organic aerosol emissions – implementation in a global climate model and impacts on clouds. Atmospheric Chemistry and Physics, 22(8), 5223–5251.
  4. Comeau, D., Asay‐Davis, X. S., Begeman, C. B., Hoffman, M. J., Lin, W., Petersen, M. R., et al. (2022). The DOE E3SM v1.2 Cryosphere Configuration: Description and Simulated Antarctic Ice‐Shelf Basal Melting. Journal of Advances in Modeling Earth Systems, 14(2).
  5. Golaz, J.-C., Van Roekel, L. P., Zheng, X., Roberts, A., Wolfe, J. D., Lin, W., et al. (2022). The DOE E3SM Model Version 2: Overview of the physical model (preprint). Climatology (Global Change).
  6. Hannah, W. (2022). E3SMv2 branch used for checkerboard signal analysis. Zenodo.
  7. Harrop, B. E., Burrows, S. M., Calvin, K., Kooperman, G. J., Leung, L. R., Maltrud, M. E., et al. (2022). Diurnal rainfall response to the physiological and radiative effects of CO 2 in tropical forests in the Energy Exascale Earth System Model v1. Journal of Geophysical Research: Atmospheres.
  8. Holland, M., Hunke, E., & National Center for Atmospheric Research. (2022). A Review of Arctic Sea Ice Climate Predictability in Large-Scale Earth System Models. Oceanography.
  9. Li, H.-Y., Tan, Z., Ma, H., Zhu, Z., Abeshu, G. W., Zhu, S., et al. (2022). A new large-scale suspended sediment model and its application over the United States. Hydrology and Earth System Sciences, 26(3), 665–688.
  10. Liao, C., Tesfa, T., Duan, Z., & Leung, L. R. (2020). Watershed delineation on a hexagonal mesh grid. Environmental Modelling & Software, 128, 104702.
  11. Liao, C., Zhou, T., Xu, D., Barnes, R., Bisht, G., Li, H.-Y., et al. (2022). Advances in hexagon mesh-based flow direction modeling. Advances in Water Resources, 160, 104099.
  12. Qian, Y., Chakraborty, T. C., Li, J., Li, D., He, C., Sarangi, C., et al. (2022). Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions. Advances in Atmospheric Sciences, 39(6), 819–860.
  13. Schneider, A. M., Zender, C. S., & Price, S. F. (2022). More Realistic Intermediate Depth Dry Firn Densification in the Energy Exascale Earth System Model (E3SM). Journal of Advances in Modeling Earth Systems.
  14. Tan, Z., Leung, L. R., Li, H., & Cohen, S. (2022). Representing Global Soil Erosion and Sediment Flux in Earth System Models. Journal of Advances in Modeling Earth Systems, 14(1).
  15. Turner, A. K., Peterson, K. J., & Bolintineanu, D. (2022). Geometric remapping of particle distributions in the Discrete Element Model for Sea Ice (DEMSI v0.0). Geoscientific Model Development, 15(5), 1953–1970.
  16. Yang, Y., Ren, L., Wu, M., Wang, H., Song, F., Leung, L. R., et al. (2022). Abrupt emissions reductions during COVID-19 contributed to record summer rainfall in China. Nature Communications, 13(1), 959.
  17. Yuan, K., Zhu, Q., Riley, W. J., Li, F., & Wu, H. (2022). Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models. Agricultural and Forest Meteorology, 319, 108920.

Accepted/In Review

  1. Abram, G, M.R. Petersen, F. Samsel, S. Zeller, L. Conlon, P. Kurtakoti, L. Palmstrom, and A. Roberts. Polynyas: Polar Physics Revealed through Visualization of the E3SM Global Climate Model. SuperComputing21 Scientific Visualization & Data Analytics Showcase
  2. Jeong, H., A. K. Turner, A. F. Roberts, M. Veneziani, S. Price, X. Asay-Davis, L. P. Van Roekel, P. M. Caldwell, J. D. Wolfe, A. Mametjanov. Antarctic Dense Water Formation in Coastal and Open-Ocean Polynyas from E3SM a High-Resolution, Coupled Simulation.J. Climate  (In revision) (overleaf link) [Jira epic link]
  3. Laffin, M. K., C. S. Zender, J. M. van Wessem, and S. Marinsek (2022), Antarctic Peninsular ice shelf collapse triggered by föhn wind-induced melt, The Cryosphere (In revision)
  4. Liu, Ullrich, Guba, Caldwell, & Keen (2022). An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM). accepted in JAMES, 1/14/22
  5. Mehlmann, C., S. Danilov, M. Losch, J.F. Lemieux, N. Hutter, T. Richter, P. Blain, E.C. Hunke, P Korn.  Simulating linear kinematic features in viscous-plastic sea ice models on quadrilateral and triangular grids.  JAMES (In revision)
  6. Petersen, M.R., VanRoekel, L.P. and Jones, P.W., The Model for Prediction Across Scales – Ocean, in Birocchi, P. and Ernani da Silva, C. (Eds.)  Introduction to Ocean Numerical Modeling: An overview of the main ocean models and post-processing techniques. Elsevier. (In press)
  7. Turner, A. K., Lipscomb, W. H., Hunke, E. C., Jacobsen, D. W., Jeffery, N., Engwirda, D., Ringler, T. D., and Wolfe, J. D.: MPAS-Seaice (v1.0.0): Sea-ice dynamics on unstructured Voronoi meshes, Geosci. Model Dev. Discuss. [preprint], 2022, (In review).
  8. Veneziani, M., Maslowski, W., Lee, Y. J., D’Angelo, G., Osinski, R., Petersen, M. R., Weijer, W., Craig, A. P., Wolfe, J. D., Comeau, D., and Turner, A. K.: An evaluation of the E3SMv1-Arctic Ocean/Sea Ice Regionally Refined Model, Geosci. Model Dev. Discuss. [preprint], 2022, (In review).
  9. Wolff, Z., and C. S. Zender. Improvements in Atmospheric Longwave Radiation Due to Realistic Representation of Cryospheric Surface Emissivity in Earth System Models, J. Geophys. Res. (In revision).
  10. Zhang, K., Zhang, W., Wan, H., Rasch, P. J., Ghan, S. J., Easter, R. C., Shi, X., Wang, Y., Wang, H., Ma, P.-L., Zhang, S., Sun, J., Burrows, S., Shrivastava, M., Singh, B., Qian, Y., Liu, X., Golaz, J.-C., Tang, Q., Zheng, X., Xie, S., Lin, W., Feng, Y., Wang, M., Yoon, J.-H., and Leung, R. L.: Effective radiative forcing of anthropogenic aerosols in E3SMv1: historical changes, causality, decomposition, and parameterization sensitivities, Atmos. Chem. Phys. Discuss. [preprint], , in review, 2022.



  1. Abram, G., Samsel, F., Petersen, M. R., Asay-Davis, X., Comeau, D., Price, S. F., & Potel, M. (2021).  Antarctic Water Masses and Ice Shelves: Visualizing the Physics. IEEE Computer Graphics and Applications, 41(1), 35–41.
  2. Balaguru, K., Van Roekel, L. P., Leung, L. R., & Veneziani, M. (2021). Subtropical Eastern North Pacific SST Bias in Earth System Models. Journal of Geophysical Research: Oceans, 126(8).
  3. Banesh, D., Petersen, M. R., Ahrens, J., Turton, T. L., Samsel, F., Schoonover, J., & Hamann, B. (2021). An Image-Based Framework for Ocean Feature Detection and Analysis. Journal of Geovisualization and Spatial Analysis, 5(2), 17.
  4. Beydoun, H., Caldwell, P. M., Hannah, W. M., & Donahue, A. S. (2021). Dissecting Anvil Cloud Response to Sea Surface Warming. Geophysical Research Letters, 48(15).
  5. Brown, H., Liu, X., Pokhrel, R., Murphy, S., Lu, Z., Saleh, R., et al. (2021). Biomass burning aerosols in most climate models are too absorbing. Nature Communications, 12(1), 277.
  6. Brus, S. R., Wolfram, P. J., Van Roekel, L. P., & Meixner, J. D. (2021). Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07. Geoscientific Model Development, 14(5), 2917–2938.
  7. Caldwell, P. M., Terai, C. R., Hillman, B., Keen, N. D., Bogenschutz, P., Lin, W., et al. (2021). Convection‐Permitting Simulations With the E3SM Global Atmosphere Model. Journal of Advances in Modeling Earth Systems, 13(11).
  8. Chen, C. ‐C., Richter, J. H., Liu, C., Moncrieff, M. W., Tang, Q., Lin, W., et al. (2021). Effects of Organized Convection Parameterization on the MJO and Precipitation in E3SMv1. Part I: Mesoscale Heating. Journal of Advances in Modeling Earth Systems, 13(6).
  9. Chen, H.-C., Jin, F.-F., Zhao, S., Wittenberg, A. T., & Xie, S. (2021). ENSO Dynamics in the E3SM-1-0, CESM2, and GFDL-CM4 Climate Models. Journal of Climate, 1–59.
  10. Cui, Z., Zhang, G. J., Wang, Y., & Xie, S. (2021). Understanding the Roles of Convective Trigger Functions in the Diurnal Cycle of Precipitation in the NCAR CAM5. Journal of Climate, 1–52.
  11. Galmarini, S., Makar, P., Clifton, O. E., Hogrefe, C., Bash, J. O., Bellasio, R., et al. (2021). Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models. Atmospheric Chemistry and Physics, 21(20), 15663–15697.
  12. Guo, Z., Griffin, B. M., Domke, S., & Larson, V. E. (2021). A Parameterization of Turbulent Dissipation and Pressure Damping Time Scales in Stably Stratified Inversions, and its Effects on Low Clouds in Global Simulations. Journal of Advances in Modeling Earth Systems, 13(4), e2020MS002278. 
  13. Guo, M., Zhuang, Q., Yao, H., Golub, M., Leung, L. R., Pierson, D., & Tan, Z. (2021). Validation and Sensitivity Analysis of a 1‐D Lake Model Across Global Lakes. Journal of Geophysical Research: Atmospheres, 126(4).
  14. Hannah, W. M., Bradley, A. M., Guba, O., Tang, Q., Golaz, J., & Wolfe, J. (2021). Separating Physics and Dynamics Grids for Improved Computational Efficiency in Spectral Element Earth System Models. Journal of Advances in Modeling Earth Systems, 13(7).
  15. Ivanova, D. P., McClean, J. L., Sprintall, J., & Chen, R. (2021). The Oceanic Barrier Layer in the Eastern Indian Ocean as a Predictor for Rainfall Over Indonesia and Australia. Geophysical Research Letters, 48(22).
  16. Jones, C. D., Hickman, J. E., Rumbold, S. T., Walton, J., Lamboll, R. D., Skeie, R. B., et al. (2021). The Climate Response to Emissions Reductions due to COVID‐19: Initial Results from CovidMIP. Geophysical Research Letters.
  17. Kang, H., Evans, K. J., Petersen, M. R., Jones, P. W., & Bishnu, S. (2021). A Scalable Semi‐Implicit Barotropic Mode Solver for the MPAS‐Ocean. Journal of Advances in Modeling Earth Systems, 13(4).
  18. Keeble, J., Hassler, B., Banerjee, A., Checa-Garcia, R., Chiodo, G., Davis, S., et al. (2021). Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100. Atmospheric Chemistry and Physics, 21(6), 5015–5061.
  19. Laffin, M. K., Zender, C. S., Singh, S., Van Wessem, J. M., Smeets, C. J. P. P., & Reijmer, C. H. (2021). Climatology and Evolution of the Antarctic Peninsula Föhn Wind‐Induced Melt Regime From 1979–2018. Journal of Geophysical Research: Atmospheres, 126(4).
  20. Li, X., Cai, W., Meehl, G. A., Chen, D., Yuan, X., Raphael, M., et al. (2021). Tropical teleconnection impacts on Antarctic climate changes. Nature Reviews Earth & Environment, 2(10), 680–698.
  21. Lu, Z., Liu, X., Zaveri, R. A., Easter, R. C., Tilmes, S., Emmons, L. K., et al. (2021). Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4. Journal of Geophysical Research: Atmospheres, 126(17).
  22. Mahajan, S. (2021). Ensuring statistical reproducibility of ocean model simulations in the age of hybrid computing. In Proceedings of the Platform for Advanced Scientific Computing Conference (pp. 1–9). Geneva Switzerland: ACM.
  23. Mehlmann, C., Danilov, S., Losch, M., Lemieux, J. F., Hutter, N., Richter, T., et al. (2021). Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering. Journal of Advances in Modeling Earth Systems, 13(11).
  24. Reeves Eyre, J. E. J., Zeng, X., & Zhang, K. (2021). Ocean Surface Flux Algorithm Effects on Earth System Model Energy and Water Cycles. Frontiers in Marine Science, 8, 642804.
  25. Ricciuto, D. M., Xu, X., Shi, X., Wang, Y., Song, X., Schadt, C. W., et al. (2021). An Integrative Model for Soil Biogeochemistry and Methane Processes: I. Model Structure and Sensitivity Analysis. Journal of Geophysical Research: Biogeosciences, 126(8).
  26. Sreepathi, S., & Taylor, M. (2021). Early Evaluation of Fugaku A64FX Architecture Using Climate Workloads. In 2021 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 719–727). Portland, OR, USA: IEEE.
  27. Tan, Z., Leung, L. R., Li, H.-Y., Tesfa, T., Zhu, Q., Yang, X., et al. (2021). Increased extreme rains intensify erosional nitrogen and phosphorus fluxes to the northern Gulf of Mexico in recent decades. Environmental Research Letters, 16(5), 054080.
  28. Tang, J., & Riley, W. J. (2021). Finding Liebig’s law of the minimum. Ecological Applications.
  29. Tang, J., & Riley, W. J. (2021). On the modeling paradigm of plant root nutrient acquisition. Plant and Soil.
  30. Tang, J., Riley, W. J., Marschmann, G. L., & Brodie, E. L. (2021). Conceptualizing Biogeochemical Reactions With an Ohm’s Law Analogy. Journal of Advances in Modeling Earth Systems, 13(10).
  31. Tang, Q., Keen, N. D., Golaz, J.-C., & van Roekel, L. P. (2021). Simulation of ENSO teleconnections to precipitation extremes over the US in the high resolution version of E3SM. Journal of Climate, 1–62.
  32. Tang, Q., Prather, M. J., Hsu, J., Ruiz, D. J., Cameron-Smith, P. J., Xie, S., & Golaz, J.-C. (2021). Evaluation of the interactive stratospheric ozone (O3v2) module in the E3SM version 1 Earth system model. Geoscientific Model Development, 14(3), 1219–1236.
  33. Tang, S., Xie, S., Guo, Z., Hong, S., Khouider, B., Klocke, D., et al. (2021). Long‐term single‐column model intercomparison of diurnal cycle of precipitation over midlatitude and tropical land. Quarterly Journal of the Royal Meteorological Society, qj.4222.
  34. Tao, C., Zhang, Y., Tang, Q., Ma, H.-Y., Ghate, V. P., Tang, S., et al. (2021). Land–Atmosphere Coupling at the U.S. Southern Great Plains: A Comparison on Local Convective Regimes between ARM Observations, Reanalysis, and Climate Model Simulations. Journal of Hydrometeorology, 22(2), 463–481.
  35. Tebaldi, C., Debeire, K., Eyring, V., Fischer, E., Fyfe, J., Friedlingstein, P., et al. (2021). Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6. Earth System Dynamics, 12(1), 253–293.
  36. Tebaldi, C., Dorheim, K., Wehner, M., & Leung, R. (2021). Extreme Metrics and Large Ensembles (preprint). Earth system change: climate prediction.
  37. Thornton, P. E., Shrestha, R., Thornton, M., Kao, S.-C., Wei, Y., & Wilson, B. E. (2021). Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific Data, 8(1), 190.
  38. Wan, H., Zhang, S., Rasch, P. J., Larson, V. E., Zeng, X., & Yan, H. (2021). Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1. Geoscientific Model Development, 14(4), 1921–1948.
  39. Wang, J., Fan, J., Feng, Z., Zhang, K., Roesler, E., Hillman, B., et al. (2021). Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM. Journal of Advances in Modeling Earth Systems, 13(11).
  40. Wang, W., Zender, C. S., van As, D., Fausto, R. S., & Laffin, M. K. (2021). Greenland Surface Melt Dominated by Solar and Sensible Heating. Geophysical Research Letters, 48(7).
  41. Wang, Yong (2021). Disproportionate control on aerosol burden by light rain. Nature Geoscience.
  42. Wang, Y., Zhang, G. J., Xie, S., Lin, W., Craig, G. C., Tang, Q., & Ma, H.-Y. (2021). Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model. Geoscientific Model Development, 14(3), 1575–1593.
  43. Woolway, R. I., Denfeld, B., Tan, Z., Jansen, J., Weyhenmeyer, G. A., & La Fuente, S. (2021). Winter inverse lake stratification under historic and future climate change. Limnology and Oceanography Letters, lol2.10231.
  44. Woolway, R. I., Sharma, S., Weyhenmeyer, G. A., Debolskiy, A., Golub, M., Mercado-Bettín, D., et al. (2021). Phenological shifts in lake stratification under climate change. Nature Communications, 12(1), 2318.
  45. Xu, L., Zhu, Q., Riley, W. J., Chen, Y., Wang, H., Ma, P.-L., & Randerson, J. T. (2021). The influence of fire aerosols on surface climate and gross primary production in the Energy Exascale Earth System Model (E3SM). Journal of Climate, 1–60.
  46. Xue, Y., Yao, T., Boone, A. A., Diallo, I., Liu, Y., Zeng, X., et al. (2021). Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design. Geoscientific Model Development, 14(7), 4465–4494.
  47. Yuan, F., Wang, Y., Ricciuto, D. M., Shi, X., Yuan, F., Hanson, P. J., et al. (2021). An Integrative Model for Soil Biogeochemistry and Methane Processes. II: Warming and Elevated CO 2 Effects on Peatland CH 4 Emissions. Journal of Geophysical Research: Biogeosciences, 126(8).
  48. Yuan, F., Wang, Y., Ricciuto, D. M., Shi, X., Yuan, F., Brehme, T., et al. (2021). Hydrological feedbacks on peatland CH4 emission under warming and elevated CO2: A modeling study. Journal of Hydrology, 603, 127137.
  49. Zampieri, L., Kauker, F., Fröhle, J., Sumata, H., Hunke, E. C., & Goessling, H. F. (2021). Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings. Journal of Advances in Modeling Earth Systems, 13(5).
  50. Zaveri, R. A., Easter, R. C., Singh, B., Wang, H., Lu, Z., Tilmes, S., et al. (2021). Development and Evaluation of Chemistry‐Aerosol‐Climate Model CAM5‐Chem‐MAM7‐MOSAIC: Global Atmospheric Distribution and Radiative Effects of Nitrate Aerosol. Journal of Advances in Modeling Earth Systems, 13(4).
  51. Zeng, X., Reeves Eyre, J. E. J., Dixon, R. D., & Arevalo, J. (2021). Quantifying the Occurrence of Record Hot Years Through Normalized Warming Trends. Geophysical Research Letters, 48(10).
  52. Zhang, T., Lin, W., Vogelmann, A. M., Zhang, M., Xie, S., Qin, Y., & Golaz, J. (2021). Improving Convection Trigger Functions in Deep Convective Parameterization Schemes Using Machine Learning. Journal of Advances in Modeling Earth Systems, 13(5).

Accepted/In Review

  1. Bond-Lamberty, B., Di Vittorio, A., Jones, A. D., Shi, X., Calvin, K. V. Quantifying the variability of an integrated assessment model driven by a wide variety of earth system and agricultural models. Climatic Change.
  2. Cai, X., W. J. Riley, Z. Zeng, and J. T. Randerson (2021), Deforestation has substantially increased tropical flood risk, in review Nature Sustainability.
  3. Comeau, D., X. Asay-Davis, C. Begeman, M. Hoffman, W. Lin, M. Petersen, S. Price, A. Roberts, L. Van Roekel, M. Veneziani, J.Wolfe, J. Fyke, T. Ringler, A. Turner. Ice-shelf basal melt rates from a global Earth system model. JAMES (in review)
  4. Ricciuto, D. M., Yang, X., Wang, D., and Thornton, P. E.: The impacts of model structure, parameter uncertainty and experimental design on Earth system model simulations of litter bag decomposition experiments, Biogeosciences Discuss. [preprint], 2021, (In review).
  5. Wan, H., Zhang, K., Rasch, P. J., Larson, V. E., Zeng, X., Zhang, S., and Dixon, R.: CondiDiag1.0: A flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM), Geosci. Model Dev. Discuss. [preprint], , in review, 2021.
  6. Wolff, Z., and C. S. Zender. 2021. Improvements in Atmospheric Longwave Radiation Due to Realistic Representation of Cryospheric Surface Emissivity in Earth System Models, J. Geophys. Res. (in review after revision).
  7. Zhu, Q., Li, F., Riley, W. J., Xu, L., Zhao, L., Yuan, K., Wu, H., Gong, J., and Randerson, J. T.: Building a machine learning surrogate model for wildfire activities within a global earth system model, Geoscientific Model Development , 2021, (In review).


  1. 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. Journal of Advances in Modeling Earth Systems, 12(11).
  2. Balaguru, K., Leung, L. R., Van Roekel, L., Golaz, J.-C., Ullrich, P., Caldwell, P. M., et al. (2020). Characterizing Tropical Cyclones in the Energy Exascale Earth System Model version 1. Journal of Advances in Modeling Earth Systems, n/a(n/a), e2019MS002024.
  3. Balaguru, K., Patricola, C. M., Hagos, S. M., Leung, L. R., & Dong, L. (2020). Enhanced predictability of eastern North Pacific tropical cyclone activity using the ENSO Longitude Index. Geophysical Research Letters, n/a(n/a), e2020GL088849.
  4. Bogenschutz, P. A., Tang, S., Caldwell, P. M., Xie, S., Lin, W., & Chen, Y. (2020). The E3SM version 1 Single Column Model. Geoscientific Model Development Discussions, 1–26.
  5. Burrows, S.M., Maltrud, M.E., Yang, X., Zhu, Q., Jeffery, N., Shi, X., & Ricciuto, D.M., et al. 2020. The DOE E3SM coupled model v1.1 biogeochemistry configuration: overview and evaluation of coupled carbon-climate experiments. Journal of Advances in Modeling Earth Systems.
  6. Butler, E. E., Chen, M., Ricciuto, D., Flores‐Moreno, H., Wythers, K. R., Kattge, J., et al. (2020). Seeing the Canopy for the Branches: Improved Within Canopy Scaling of Leaf Nitrogen. Journal of Advances in Modeling Earth Systems, 12(10).
  7. Chen, Y., Huang, X., Yang, P., Kuo, C., & Chen, X. (2020). Seasonal Dependent Impact of Ice Cloud Longwave Scattering on the Polar Climate. Geophysical Research Letters, 47(23).
  8. DeSantis, D., Wolfram, P. J., Bennett, K., & Alexandrov, B. (2020). Coarse-Grain Cluster Analysis of Tensors with Application to Climate Biome Identification. ArXiv:2001.07827 [Cs, Stat]. Retrieved from
  9. Di Vittorio, A. V., Shi, X., Bond‐Lamberty, B., Calvin, K., & Jones, A. (2020). Initial Land Use/Cover Distribution Substantially Affects Global Carbon and Local Temperature Projections in the Integrated Earth System Model. Global Biogeochemical Cycles, 34(5), e2019GB006383.
  10. Di Vittorio, Alan V., Vernon, C. R., & Shu, S. (2020). Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales. Journal of Open Research Software, 8(1), 1.
  11. Dunne, J. P., Winton, M., Bacmeister, J., Danabasoglu, G., Gettelman, A., Golaz, J., et al. (2020). Comparison of Equilibrium Climate Sensitivity Estimates From Slab Ocean, 150‐Year, and Longer Simulations. Geophysical Research Letters, 47(16).
  12. Golden, K. M., Bennetts, L. G., Cherkaev, E., Eisenman, I., Feltham, D., Horvat, C., et al. (2020). Modeling Sea Ice. Notices of the American Mathematical Society, 67(10), 1. .
  13. Gryspeerdt, E., Mülmenstädt, J., Gettelman, A., Malavelle, F. F., Morrison, H., Neubauer, D., et al. (2020). Surprising similarities in model and observational aerosol radiative forcing estimates. Atmospheric Chemistry and Physics, 20(1), 613–623.
  14. Guba, O., Taylor, M. A., Bradley, A. M., Bosler, P. A., & Steyer, A. (2020). A framework to evaluate IMEX schemes for atmospheric models. Geoscientific Model Development, 13(12), 6467–6480.
  15. Guo, M., Zhuang, Q., Tan, Z., Shurpali, N., Juutinen, S., Kortelainen, P., & Martikainen, P. J. (2020). Rising methane emissions from boreal lakes due to increasing ice-free days. Environmental Research Letters, 15(6), 064008.
  16. Guo, M., Q. Zhuang, H. Yao, M. Golub, L. R. Leung, D. Pierson, and Z. Tan (2020). Validation and sensitivity analysis of a 1‐D lake model across global lakes. Journal of Geophysical Research: Atmospheres, 125, e2020JD033417.
  17. Guseva, S., Bleninger, T., Jöhnk, K., Polli, B. A., Tan, Z., Thiery, W., et al. (2020). Multimodel simulation of vertical gas transfer in a temperate lake. Hydrology and Earth System Sciences, 24(2), 697–715.
  18. Hannah, W. M., Jones, C. R., Hillman, B. R., Norman, M. R., Bader, D. C., Taylor, M. A., et al. (2020). Initial Results From the Super-Parameterized E3SM. Journal of Advances in Modeling Earth Systems, 12(1), e2019MS001863.
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