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Journal articles on the topic 'Community Atmospheric Model'

Author: Grafiati

Published: 6 September 2023

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1

Long, M. S., W. C. Keene, R. Easter, et al. "Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model." Geoscientific Model Development Discussions 5, no. 2 (2012): 1483–501. http://dx.doi.org/10.5194/gmdd-5-1483-2012.

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Abstract. A coupled atmospheric chemistry and climate system model was developed using the modal aerosol version of the National Center for Atmospheric Research Community Atmosphere Model (modal-CAM) and the Max Planck Institute for Chemistry's Module Efficiently Calculating the Chemistry of the Atmosphere (MECCA) to provide enhanced resolution of multiphase processes, particularly those involving inorganic halogens, and associated impacts on atmospheric composition and climate. Three Rosenbrock solvers (Ros-2, Ros-3, RODAS-3) were tested in conjunction with the basic load balancing options av

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Long, M. S., W. C. Keene, R. Easter, et al. "Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model." Geoscientific Model Development 6, no. 1 (2013): 255–62. http://dx.doi.org/10.5194/gmd-6-255-2013.

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Abstract. A coupled atmospheric chemistry and climate system model was developed using the modal aerosol version of the National Center for Atmospheric Research Community Atmosphere Model (modal-CAM; v3.6.33) and the Max Planck Institute for Chemistry's Module Efficiently Calculating the Chemistry of the Atmosphere (MECCA; v2.5) to provide enhanced resolution of multiphase processes, particularly those involving inorganic halogens, and associated impacts on atmospheric composition and climate. Three Rosenbrock solvers (Ros-2, Ros-3, RODAS-3) were tested in conjunction with the basic load-balan

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3

Chen, Yong, Yong Han, Quanhua Liu, Paul Van Delst, and Fuzhong Weng. "Community Radiative Transfer Model for Stratospheric Sounding Unit." Journal of Atmospheric and Oceanic Technology 28, no. 6 (2011): 767–78. http://dx.doi.org/10.1175/2010jtecha1509.1.

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Abstract To better use the Stratospheric Sounding Unit (SSU) data for reanalysis and climate studies, issues associated with the fast radiative transfer (RT) model for SSU have recently been revisited and the results have been implemented into the Community Radiative Transfer Model version 2. This study revealed that the spectral resolution for the sensor’s spectral response functions (SRFs) calculations is very important, especially for channel 3. A low spectral resolution SRF results, on average, in 0.6-K brightness temperature (BT) errors for that channel. The variations of the SRFs due to

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Baumgaertner, A. J. G., P. Jöckel, A. Kerkweg, R. Sander, and H. Tost. "Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework." Geoscientific Model Development 9, no. 1 (2016): 125–35. http://dx.doi.org/10.5194/gmd-9-125-2016.

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Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established

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5

Blackmon, Maurice, Byron Boville, Frank Bryan, et al. "The Community Climate System Model." Bulletin of the American Meteorological Society 82, no. 11 (2001): 2357–76. http://dx.doi.org/10.1175/1520-0477(2001)082<2357:tccsm>2.3.co;2.

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6

Collins, William D., Philip J. Rasch, Byron A. Boville, et al. "The Formulation and Atmospheric Simulation of the Community Atmosphere Model Version 3 (CAM3)." Journal of Climate 19, no. 11 (2006): 2144–61. http://dx.doi.org/10.1175/jcli3760.1.

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Abstract A new version of the Community Atmosphere Model (CAM) has been developed and released to the climate community. CAM Version 3 (CAM3) is an atmospheric general circulation model that includes the Community Land Model (CLM3), an optional slab ocean model, and a thermodynamic sea ice model. The dynamics and physics in CAM3 have been changed substantially compared to implementations in previous versions. CAM3 includes options for Eulerian spectral, semi-Lagrangian, and finite-volume formulations of the dynamical equations. It supports coupled simulations using either finite-volume or Eule

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7

Pedatella, N. M., H. L. Liu, and A. D. Richmond. "Atmospheric semidiurnal lunar tide climatology simulated by the Whole Atmosphere Community Climate Model." Journal of Geophysical Research: Space Physics 117, A6 (2012): n/a. http://dx.doi.org/10.1029/2012ja017792.

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8

Bonan, Gordon B., Keith W. Oleson, Mariana Vertenstein, et al. "The Land Surface Climatology of the Community Land Model Coupled to the NCAR Community Climate Model*." Journal of Climate 15, no. 22 (2002): 3123–49. http://dx.doi.org/10.1175/1520-0442(2002)015<3123:tlscot>2.0.co;2.

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9

Sander, Rolf, Andreas Baumgaertner, David Cabrera-Perez, et al. "The community atmospheric chemistry box model CAABA/MECCA-4.0." Geoscientific Model Development 12, no. 4 (2019): 1365–85. http://dx.doi.org/10.5194/gmd-12-1365-2019.

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Abstract. We present version 4.0 of the atmospheric chemistry box model CAABA/MECCA that now includes a number of new features: (i) skeletal mechanism reduction, (ii) the Mainz Organic Mechanism (MOM) chemical mechanism for volatile organic compounds, (iii) an option to include reactions from the Master Chemical Mechanism (MCM) and other chemical mechanisms, (iv) updated isotope tagging, and (v) improved and new photolysis modules (JVAL, RADJIMT, DISSOC). Further, when MECCA is connected to a global model, the new feature of coexisting multiple chemistry mechanisms (PolyMECCA/CHEMGLUE) can be

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10

Jochum, Markus, Alexandra Jahn, Synte Peacock, et al. "True to Milankovitch: Glacial Inception in the New Community Climate System Model." Journal of Climate 25, no. 7 (2012): 2226–39. http://dx.doi.org/10.1175/jcli-d-11-00044.1.

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Abstract The equilibrium solution of a fully coupled general circulation model with present-day orbital forcing is compared to the solution of the same model with the orbital forcing from 115 000 years ago. The difference in snow accumulation between these two simulations has a pattern and a magnitude comparable to the ones inferred from reconstructions for the last glacial inception. This is a major improvement over previous similar studies, and the increased realism is attributed to the higher spatial resolution in the atmospheric model, which allows for a more accurate representation of the

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Liptak, Jessica, and Courtenay Strong. "A Model-Based Decomposition of the Sea Ice–Atmosphere Feedback over the Barents Sea during Winter." Journal of Climate 27, no. 7 (2014): 2533–44. http://dx.doi.org/10.1175/jcli-d-13-00371.1.

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Abstract The feedback between Barents Sea ice and the winter atmosphere was studied in a modeling framework by decomposing it into two sequential boundary forcing experiments. The Community Ice Code (CICE) model was initialized with anomalously high sea ice concentration (SIC) over the Barents Sea and forced with an atmosphere produced by positive SIC anomalies, and CICE was initialized with low Barents Sea SIC and forced with an atmosphere produced by negative SIC anomalies. Corresponding control runs were produced by exposing the same SIC initial conditions to climatological atmospheres, and

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12

Lipscomb, William H., Jeremy G. Fyke, Miren Vizcaíno, et al. "Implementation and Initial Evaluation of the Glimmer Community Ice Sheet Model in the Community Earth System Model." Journal of Climate 26, no. 19 (2013): 7352–71. http://dx.doi.org/10.1175/jcli-d-12-00557.1.

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Abstract The Glimmer Community Ice Sheet Model (Glimmer-CISM) has been implemented in the Community Earth System Model (CESM). Glimmer-CISM is forced by a surface mass balance (SMB) computed in multiple elevation classes in the CESM land model and downscaled to the ice sheet grid. Ice sheet evolution is governed by the shallow-ice approximation with thermomechanical coupling and basal sliding. This paper describes and evaluates the initial model implementation for the Greenland Ice Sheet (GIS). The ice sheet model was spun up using the SMB from a coupled CESM simulation with preindustrial forc

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13

Dickinson, Robert E., Keith W. Oleson, Gordon Bonan, et al. "The Community Land Model and Its Climate Statistics as a Component of the Community Climate System Model." Journal of Climate 19, no. 11 (2006): 2302–24. http://dx.doi.org/10.1175/jcli3742.1.

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Abstract Several multidecadal simulations have been carried out with the new version of the Community Climate System Model (CCSM). This paper reports an analysis of the land component of these simulations. Global annual averages over land appear to be within the uncertainty of observational datasets, but the seasonal cycle over land of temperature and precipitation appears to be too weak. These departures from observations appear to be primarily a consequence of deficiencies in the simulation of the atmospheric model rather than of the land processes. High latitudes of northern winter are bias

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Krishnamurthy, V., Cristiana Stan, David A. Randall, Ravi P. Shukla, and James L. Kinter. "Simulation of the South Asian Monsoon in a Coupled Model with an Embedded Cloud-Resolving Model." Journal of Climate 27, no. 3 (2014): 1121–42. http://dx.doi.org/10.1175/jcli-d-13-00257.1.

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Abstract The simulation of the South Asian monsoon by a coupled ocean–atmosphere model with an embedded cloud-resolving model is analyzed on intraseasonal and interannual time scales. The daily modes of variability in the superparameterized Community Climate System Model, version 3 (SP-CCSM), are compared with those in observation, the superparameterized Community Atmospheric Model, version 3 (SP-CAM3), and the control simulation of CCSM (CT-CCSM) with conventional parameterization of convection. The CT-CCSM fails to simulate the observed intraseasonal oscillations but is able to generate the

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15

Reed, Kevin A., Brian Medeiros, Julio T. Bacmeister, and Peter H. Lauritzen. "Global Radiative–Convective Equilibrium in the Community Atmosphere Model, Version 5." Journal of the Atmospheric Sciences 72, no. 5 (2015): 2183–97. http://dx.doi.org/10.1175/jas-d-14-0268.1.

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Abstract In the continued effort to understand the climate system and improve its representation in atmospheric general circulation models (AGCMs), it is crucial to develop reduced-complexity frameworks to evaluate these models. This is especially true as the AGCM community advances toward high horizontal resolutions (i.e., grid spacing less than 50 km), which will require interpreting and improving the performance of many model components. A simplified global radiative–convective equilibrium (RCE) configuration is proposed to explore the implication of horizontal resolution on equilibrium cli

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16

Dai, Yongjiu, Xubin Zeng, Robert E. Dickinson, et al. "The Common Land Model." Bulletin of the American Meteorological Society 84, no. 8 (2003): 1013–24. http://dx.doi.org/10.1175/bams-84-8-1013.

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The Common Land Model (CLM) was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development. The major model characteristics include enough unevenly spaced layers to adequately represent soil temperature and soil moisture, and a multilayer parameterization of snow processes; an explicit treatment of the mass of liquid water and ice water and their phase change within the snow and soil system; a runoff parameterization following the TOPMODEL concept; a canopy photo synthesis-conducta

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17

MacNeice, Peter. "Validation of community models: Identifying events in space weather model timelines." Space Weather 7, no. 6 (2009): n/a. http://dx.doi.org/10.1029/2009sw000463.

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18

Gent, Peter R., Gokhan Danabasoglu, Leo J. Donner, et al. "The Community Climate System Model Version 4." Journal of Climate 24, no. 19 (2011): 4973–91. http://dx.doi.org/10.1175/2011jcli4083.1.

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The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all CCSM components, and documents fully coupled preindustrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1° results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4°-resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in CCSM4 producing El Niño–Southern Oscillation variability wi

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19

Kiehl, Jeffrey T., and Peter R. Gent. "The Community Climate System Model, Version 2." Journal of Climate 17, no. 19 (2004): 3666–82. http://dx.doi.org/10.1175/1520-0442(2004)017<3666:tccsmv>2.0.co;2.

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20

Sun, D. Z., T. Zhang, C. Covey, et al. "Radiative and Dynamical Feedbacks over the Equatorial Cold Tongue: Results from Nine Atmospheric GCMs." Journal of Climate 19, no. 16 (2006): 4059–74. http://dx.doi.org/10.1175/jcli3835.1.

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Abstract The equatorial Pacific is a region with strong negative feedbacks. Yet coupled general circulation models (GCMs) have exhibited a propensity to develop a significant SST bias in that region, suggesting an unrealistic sensitivity in the coupled models to small energy flux errors that inevitably occur in the individual model components. Could this “hypersensitivity” exhibited in a coupled model be due to an underestimate of the strength of the negative feedbacks in this region? With this suspicion, the feedbacks in the equatorial Pacific in nine atmospheric GCMs (AGCMs) have been quanti

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21

Medeiros, Brian, David L. Williamson, Cécile Hannay, and Jerry G. Olson. "Southeast Pacific Stratocumulus in the Community Atmosphere Model." Journal of Climate 25, no. 18 (2012): 6175–92. http://dx.doi.org/10.1175/jcli-d-11-00503.1.

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Abstract Forecasts of October 2006 are used to investigate southeast Pacific stratocumulus in the Community Atmosphere Model, versions 4 and 5 (CAM4 and CAM5). Both models quickly develop biases similar to their climatic biases, suggesting that parameterized physics are the root of the climate errors. An extensive cloud deck is produced in CAM4, but the cloud structure is unrealistic because the boundary layer is too shallow and moist. The boundary layer structure is improved in CAM5, but during the daytime the boundary layer decouples from the cloud layer, causing the cloud layer to break up

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22

Herrington, Adam R., and Kevin A. Reed. "On resolution sensitivity in the Community Atmosphere Model." Quarterly Journal of the Royal Meteorological Society 146, no. 733 (2020): 3789–807. http://dx.doi.org/10.1002/qj.3873.

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23

Cassano, Elizabeth N., John J. Cassano, Matthew E. Higgins, and Mark C. Serreze. "Atmospheric impacts of an Arctic sea ice minimum as seen in the Community Atmosphere Model." International Journal of Climatology 34, no. 3 (2013): 766–79. http://dx.doi.org/10.1002/joc.3723.

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Bretherton, Christopher S., and Sungsu Park. "A New Moist Turbulence Parameterization in the Community Atmosphere Model." Journal of Climate 22, no. 12 (2009): 3422–48. http://dx.doi.org/10.1175/2008jcli2556.1.

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Abstract A new moist turbulence parameterization is presented and implemented in the Community Atmosphere Model (CAM). It is derived from Grenier and Bretherton but has been heavily modified to improve its numerical stability and efficiency with the long time steps used in climate models. A goal was to provide a more physically realistic treatment of marine stratocumulus-topped boundary layers than in the current CAM. Key features of the scheme include use of moist-conserved variables, an explicit entrainment closure for convective layers, diagnosis of turbulent kinetic energy (TKE) for comput

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Levis, Samuel, and Gordon B. Bonan. "Simulating Springtime Temperature Patterns in the Community Atmosphere Model Coupled to the Community Land Model Using Prognostic Leaf Area." Journal of Climate 17, no. 23 (2004): 4531–40. http://dx.doi.org/10.1175/3218.1.

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Abstract Observations show that emergence of foliage in springtime slows surface air temperature warming as a result of greater transpiration. Model simulations with the Community Atmosphere Model coupled to the Community Land Model confirm that evapotranspiration contributes to this pattern and that this pattern occurs more reliably with prognostic leaf area as opposed to prescribed leaf area. With prescribed leaf area, leaves emerge independent of prevailing environmental conditions, which may preclude photosynthesis from occurring. In contrast, prognostic leaf area ensures that leaves emerg

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Eliashiv, Jonathan, Aneesh C. Subramanian, and Arthur J. Miller. "Tropical climate variability in the Community Earth System Model: Data Assimilation Research Testbed." Climate Dynamics 54, no. 1-2 (2019): 793–806. http://dx.doi.org/10.1007/s00382-019-05030-6.

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AbstractA new prototype coupled ocean–atmosphere Ensemble Kalman Filter reanalysis product, the Community Earth System Model using the Data Assimilation Research Testbed (CESM-DART), is studied by comparing its tropical climate variability to other reanalysis products, available observations, and a free-running version of the model. The results reveal that CESM-DART produces fields that are comparable in overall performance with those of four other uncoupled and coupled reanalyses. The clearest signature of differences in CESM-DART is in the analysis of the Madden–Julian Oscillation (MJO) and

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Collins, William D., Cecilia M. Bitz, Maurice L. Blackmon, et al. "The Community Climate System Model Version 3 (CCSM3)." Journal of Climate 19, no. 11 (2006): 2122–43. http://dx.doi.org/10.1175/jcli3761.1.

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Abstract The Community Climate System Model version 3 (CCSM3) has recently been developed and released to the climate community. CCSM3 is a coupled climate model with components representing the atmosphere, ocean, sea ice, and land surface connected by a flux coupler. CCSM3 is designed to produce realistic simulations over a wide range of spatial resolutions, enabling inexpensive simulations lasting several millennia or detailed studies of continental-scale dynamics, variability, and climate change. This paper will show results from the configuration used for climate-change simulations with a

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Kiehl, J. T., J. J. Hack, G. B. Bonan, B. A. Boville, D. L. Williamson, and P. J. Rasch. "The National Center for Atmospheric Research Community Climate Model: CCM3*." Journal of Climate 11, no. 6 (1998): 1131–49. http://dx.doi.org/10.1175/1520-0442(1998)011<1131:tncfar>2.0.co;2.

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29

Mukherjee, Sagnick, Natasha E. Batalha, Jonathan J. Fortney, and Mark S. Marley. "PICASO 3.0: A One-dimensional Climate Model for Giant Planets and Brown Dwarfs." Astrophysical Journal 942, no. 2 (2023): 71. http://dx.doi.org/10.3847/1538-4357/ac9f48.

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Abstract Upcoming James Webb Space Telescope observations will allow us to study exoplanet and brown dwarf atmospheres in great detail. The physical interpretation of these upcoming high signal-to-noise observations requires precise atmospheric models of exoplanets and brown dwarfs. While several 1D and 3D atmospheric models have been developed in the past three decades, these models have often relied on simplified assumptions like chemical equilibrium and are also often not open-source, which limits their usage and development by the wider community. We present a Python-based 1Dl atmospheric

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Bonan, Gordon B., and Samuel Levis. "Evaluating Aspects of the Community Land and Atmosphere Models (CLM3 and CAM3) Using a Dynamic Global Vegetation Model." Journal of Climate 19, no. 11 (2006): 2290–301. http://dx.doi.org/10.1175/jcli3741.1.

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Abstract The Community Land Model version 3 (CLM3) Dynamic Global Vegetation Model (CLM–DGVM) is used diagnostically to identify land and atmospheric model biases that lead to biases in the simulated vegetation. The CLM–DGVM driven with observed atmospheric data (offline simulation) underestimates global forest cover, overestimates grasslands, and underestimates global net primary production. These results are consistent with earlier findings that the soils in CLM3 are too dry. In the offline simulation an increase in simulated transpiration by changing this variable's soil moisture dependence

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Lamarque, J. F., L. K. Emmons, P. G. Hess, et al. "CAM-chem: description and evaluation of interactive atmospheric chemistry in CESM." Geoscientific Model Development Discussions 4, no. 3 (2011): 2199–278. http://dx.doi.org/10.5194/gmdd-4-2199-2011.

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Abstract. We discuss and evaluate the representation of atmospheric chemistry in the global Community Atmosphere Model (CAM) version 4, the atmospheric component of the Community Earth System Model (CESM). We present a variety of configurations for the representation of tropospheric and stratospheric chemistry, wet removal, and online and offline meteorology. Results from simulations illustrating these configurations are compared with surface, aircraft and satellite observations. Overall, the model indicates a good performance when compared to observations. Major biases include a negative bias

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Chang, Ching-Yee, Sumant Nigam, and James A. Carton. "Origin of the Springtime Westerly Bias in Equatorial Atlantic Surface Winds in the Community Atmosphere Model Version 3 (CAM3) Simulation." Journal of Climate 21, no. 18 (2008): 4766–78. http://dx.doi.org/10.1175/2008jcli2138.1.

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Abstract This study makes the case that westerly bias in the surface winds of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 3 (CAM3), over the equatorial Atlantic in boreal spring has its origin in the rainfall (diabatic heating) bias over the tropical South American continent. The case is made by examination of the spatiotemporal evolution of regional precipitation and wind biases and by dynamical diagnoses of the westerly wind bias from experiments with a steady, linearized dynamical core of an atmospheric general circulation model. Diagnostic modeli

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Blanchard-Wrigglesworth, Edward, and Qinghua Ding. "Tropical and Midlatitude Impact on Seasonal Polar Predictability in the Community Earth System Model." Journal of Climate 32, no. 18 (2019): 5997–6014. http://dx.doi.org/10.1175/jcli-d-19-0088.1.

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Abstract The impact on seasonal polar predictability from improved tropical and midlatitude forecasts is explored using a perfect-model experiment and applying a nudging approach in a GCM. We run three sets of 7-month long forecasts: a standard free-running forecast and two nudged forecasts in which atmospheric winds, temperature, and specific humidity (U, V, T, Q) are nudged toward one of the forecast runs from the free ensemble. The two nudged forecasts apply the nudging over different domains: the tropics (30°S–30°N) and the tropics and midlatitudes (55°S–55°N). We find that the tropics hav

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Hurrell, James W., James J. Hack, Adam S. Phillips, Julie Caron, and Jeffrey Yin. "The Dynamical Simulation of the Community Atmosphere Model Version 3 (CAM3)." Journal of Climate 19, no. 11 (2006): 2162–83. http://dx.doi.org/10.1175/jcli3762.1.

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Abstract The dynamical simulation of the latest version of the Community Atmosphere Model (CAM3) is examined, including the seasonal variation of its mean state and its interannual variability. An ensemble of integrations forced with observed monthly varying sea surface temperatures and sea ice concentrations is compared to coexisting observations. The most significant differences from the previous version of the model [Community Climate Model version 3 (CCM3)] are associated with changes to the parameterized physics package. Results show that these changes have resulted in a modest improvemen

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Hack, James J., Julie M. Caron, Stephen G. Yeager, et al. "Simulation of the Global Hydrological Cycle in the CCSM Community Atmosphere Model Version 3 (CAM3): Mean Features." Journal of Climate 19, no. 11 (2006): 2199–221. http://dx.doi.org/10.1175/jcli3755.1.

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Abstract The seasonal and annual climatological behavior of selected components of the hydrological cycle are presented from coupled and uncoupled configurations of the atmospheric component of the Community Climate System Model (CCSM) Community Atmosphere Model version 3 (CAM3). The formulations of processes that play a role in the hydrological cycle are significantly more complex when compared with earlier versions of the atmospheric model. Major features of the simulated hydrological cycle are compared against available observational data, and the strengths and weaknesses are discussed in t

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Allen, Robert J., and Steven C. Sherwood. "The impact of natural versus anthropogenic aerosols on atmospheric circulation in the Community Atmosphere Model." Climate Dynamics 36, no. 9-10 (2010): 1959–78. http://dx.doi.org/10.1007/s00382-010-0898-8.

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Zeng, Xubin, Muhammad Shaikh, Yongjiu Dai, Robert E. Dickinson, and Ranga Myneni. "Coupling of the Common Land Model to the NCAR Community Climate Model." Journal of Climate 15, no. 14 (2002): 1832–54. http://dx.doi.org/10.1175/1520-0442(2002)015<1832:cotclm>2.0.co;2.

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Gettelman, A., J. E. Kay, and K. M. Shell. "The Evolution of Climate Sensitivity and Climate Feedbacks in the Community Atmosphere Model." Journal of Climate 25, no. 5 (2012): 1453–69. http://dx.doi.org/10.1175/jcli-d-11-00197.1.

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The major evolution of the National Center for Atmospheric Research Community Atmosphere Model (CAM) is used to diagnose climate feedbacks, understand how climate feedbacks change with different physical parameterizations, and identify the processes and regions that determine climate sensitivity. In the evolution of CAM from version 4 to version 5, the water vapor, temperature, surface albedo, and lapse rate feedbacks are remarkably stable across changes to the physical parameterization suite. However, the climate sensitivity increases from 3.2 K in CAM4 to 4.0 K in CAM5. The difference is mos

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Hurrell, James W. "Comparison of NCAR Community Climate Model (CCM) climates." Climate Dynamics 11, no. 1 (1995): 25–50. http://dx.doi.org/10.1007/s003820050059.

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Kay, Jennifer E., Casey Wall, Vineel Yettella, et al. "Global Climate Impacts of Fixing the Southern Ocean Shortwave Radiation Bias in the Community Earth System Model (CESM)." Journal of Climate 29, no. 12 (2016): 4617–36. http://dx.doi.org/10.1175/jcli-d-15-0358.1.

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Abstract A large, long-standing, and pervasive climate model bias is excessive absorbed shortwave radiation (ASR) over the midlatitude oceans, especially the Southern Ocean. This study investigates both the underlying mechanisms for and climate impacts of this bias within the Community Earth System Model, version 1, with the Community Atmosphere Model, version 5 [CESM1(CAM5)]. Excessive Southern Ocean ASR in CESM1(CAM5) results in part because low-level clouds contain insufficient amounts of supercooled liquid. In a present-day atmosphere-only run, an observationally motivated modification to

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Richter, Jadwiga H., and Philip J. Rasch. "Effects of Convective Momentum Transport on the Atmospheric Circulation in the Community Atmosphere Model, Version 3." Journal of Climate 21, no. 7 (2008): 1487–99. http://dx.doi.org/10.1175/2007jcli1789.1.

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Abstract Transport of momentum by convection is an important process affecting global circulation. Owing to the lack of global observations, the quantification of the impact of this process on the tropospheric climate is difficult. Here an implementation of two convective momentum transport parameterizations, presented by Schneider and Lindzen and Gregory et al., in the Community Atmosphere Model, version 3 (CAM3) is presented, and their effect on global climate is examined in detail. An analysis of the tropospheric zonal momentum budget reveals that convective momentum transport affects tropo

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Teng, Chen-Ke-Min, Sheng-Yang Gu, Yusong Qin, and Xiankang Dou. "Impact of Solar Activity on Global Atmospheric Circulation Based on SD-WACCM-X Simulations from 2002 to 2019." Atmosphere 12, no. 11 (2021): 1526. http://dx.doi.org/10.3390/atmos12111526.

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In this study, a global atmospheric model, Specified Dynamics Whole Atmosphere Community Climate Model with thermosphere and ionosphere eXtension (SD-WACCM-X), and the residual circulation principle were used to study the global atmospheric circulation from the lower to upper atmosphere (~500 km) from 2002 to 2019. Our analysis shows that the atmospheric circulation is clearly influenced by solar activity, especially in the upper atmosphere, which is mainly characterized by an enhanced atmospheric circulation in years with high solar activity. The atmospheric circulation in the upper atmospher

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Kiehl, Jeffrey T., Christine A. Shields, James J. Hack, and William D. Collins. "The Climate Sensitivity of the Community Climate System Model Version 3 (CCSM3)." Journal of Climate 19, no. 11 (2006): 2584–96. http://dx.doi.org/10.1175/jcli3747.1.

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Abstract The climate sensitivity of the Community Climate System Model (CCSM) is described in terms of the equilibrium change in surface temperature due to a doubling of carbon dioxide in a slab ocean version of the Community Atmosphere Model (CAM) and the transient climate response, which is the surface temperature change at the point of doubling of carbon dioxide in a 1% yr−1 CO2 simulation with the fully coupled CCSM. For a fixed atmospheric horizontal resolution across model versions, we show that the equilibrium sensitivity has monotonically increased across CSM1.4, CCSM2, to CCSM3 from 2

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Nobre, Paulo, Leo S. P. Siqueira, Roberto A. F. de Almeida, et al. "Climate Simulation and Change in the Brazilian Climate Model." Journal of Climate 26, no. 17 (2013): 6716–32. http://dx.doi.org/10.1175/jcli-d-12-00580.1.

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Abstract The response of the global climate system to atmospheric CO2 concentration increase in time is scrutinized employing the Brazilian Earth System Model Ocean–Atmosphere version 2.3 (BESM-OA2.3). Through the achievement of over 2000 yr of coupled model integrations in ensemble mode, it is shown that the model simulates the signal of recent changes of global climate trends, depicting a steady atmospheric and oceanic temperature increase and corresponding marine ice retreat. The model simulations encompass the time period from 1960 to 2105, following the phase 5 of the Coupled Model Interc

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Mao, Jingqiu, Annmarie Carlton, Ronald C. Cohen, et al. "Southeast Atmosphere Studies: learning from model-observation syntheses." Atmospheric Chemistry and Physics 18, no. 4 (2018): 2615–51. http://dx.doi.org/10.5194/acp-18-2615-2018.

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Abstract. Concentrations of atmospheric trace species in the United States have changed dramatically over the past several decades in response to pollution control strategies, shifts in domestic energy policy and economics, and economic development (and resulting emission changes) elsewhere in the world. Reliable projections of the future atmosphere require models to not only accurately describe current atmospheric concentrations, but to do so by representing chemical, physical and biological processes with conceptual and quantitative fidelity. Only through incorporation of the processes contr

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Liu, H.-L., F. Sassi, and R. R. Garcia. "Error Growth in a Whole Atmosphere Climate Model." Journal of the Atmospheric Sciences 66, no. 1 (2009): 173–86. http://dx.doi.org/10.1175/2008jas2825.1.

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Abstract It has been well established that the atmosphere is chaotic by nature and thus has a finite limit of predictability. The chaotic divergence of initial conditions and the predictability are explored here in the context of the whole atmosphere (from the ground to the thermosphere) using the NCAR Whole Atmosphere Community Climate Model (WACCM). From ensemble WACCM simulations, it is found that the early growth of differences in initial conditions is associated with gravity waves and it becomes apparent first in the upper atmosphere and progresses downward. The differences later become m

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Liu, Yuqiong, Hoshin V. Gupta, Soroosh Sorooshian, Luis A. Bastidas, and William J. Shuttleworth. "Constraining Land Surface and Atmospheric Parameters of a Locally Coupled Model Using Observational Data." Journal of Hydrometeorology 6, no. 2 (2005): 156–72. http://dx.doi.org/10.1175/jhm407.1.

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Abstract In coupled land surface–atmosphere modeling, the possibility and benefits of constraining model parameters using observational data bear investigation. Using the locally coupled NCAR Single-column Community Climate Model (NCAR SCCM), this study demonstrates some feasible, effective approaches to constrain parameter estimates for coupled land–atmosphere models and explores the effects of including both land surface and atmospheric parameters and fluxes/variables in the parameter estimation process, as well as the value of conducting the process in a stepwise manner. The results indicat

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Womack, A. M., P. E. Artaxo, F. Y. Ishida, et al. "Characterization of active and total fungal communities in the atmosphere over the Amazon rainforest." Biogeosciences 12, no. 21 (2015): 6337–49. http://dx.doi.org/10.5194/bg-12-6337-2015.

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Abstract. Fungi are ubiquitous in the atmosphere and may play an important role in atmospheric processes. We investigated the composition and diversity of fungal communities over the Amazon rainforest canopy and compared these communities to fungal communities found in terrestrial environments. We characterized the total fungal community and the metabolically active portion of the community using high-throughput DNA and RNA sequencing and compared these data to predictions generated by a mass-balance model. We found that the total community was primarily comprised of fungi from the phylum Basi

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Hurrell, James W., James J. Hack, Dennis Shea, Julie M. Caron, and James Rosinski. "A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community Atmosphere Model." Journal of Climate 21, no. 19 (2008): 5145–53. http://dx.doi.org/10.1175/2008jcli2292.1.

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Abstract A new surface boundary forcing dataset for uncoupled simulations with the Community Atmosphere Model is described. It is a merged product based on the monthly mean Hadley Centre sea ice and SST dataset version 1 (HadISST1) and version 2 of the National Oceanic and Atmospheric Administration (NOAA) weekly optimum interpolation (OI) SST analysis. These two source datasets were also used to supply ocean surface information to the 40-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40). The merged product provides monthly mean sea surface temperature and sea ice conc

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Womack, A. M., P. E. Artaxo, F. Y. Ishida, et al. "Characterization of active and total fungal communities in the atmosphere over the Amazon rainforest." Biogeosciences Discussions 12, no. 10 (2015): 7177–207. http://dx.doi.org/10.5194/bgd-12-7177-2015.

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Abstract. Fungi are ubiquitous in the atmosphere and may play an important role in atmospheric processes. We investigated the composition and diversity of fungal communities over the Amazon rainforest canopy and compared these communities to fungal communities found in terrestrial environments. We characterized the total fungal community and the metabolically active portion of the community using high-throughout DNA and RNA sequencing and compared these data to predictions generated by a mass-balance model. We found that the total community was primarily comprised of fungi from the phylum Basi

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