Literatura académica sobre el tema "General circulation models atmosphere"
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Artículos de revistas sobre el tema "General circulation models atmosphere"
Pozzer, A., P. Jöckel, B. Kern y H. Haak. "The Atmosphere-Ocean General Circulation Model EMAC-MPIOM". Geoscientific Model Development 4, n.º 3 (9 de septiembre de 2011): 771–84. http://dx.doi.org/10.5194/gmd-4-771-2011.
Texto completoPozzer, A., P. Jöckel, B. Kern y H. Haak. "The atmosphere-ocean general circulation model EMAC-MPIOM". Geoscientific Model Development Discussions 4, n.º 1 (4 de marzo de 2011): 457–95. http://dx.doi.org/10.5194/gmdd-4-457-2011.
Texto completoBye, John A. T. y Jörg-Olaf Wolff. "Atmosphere–Ocean Momentum Exchange in General Circulation Models". Journal of Physical Oceanography 29, n.º 4 (abril de 1999): 671–92. http://dx.doi.org/10.1175/1520-0485(1999)029<0671:aomeig>2.0.co;2.
Texto completoMedvedev, Alexander S. y Erdal Yiğit. "Gravity Waves in Planetary Atmospheres: Their Effects and Parameterization in Global Circulation Models". Atmosphere 10, n.º 9 (9 de septiembre de 2019): 531. http://dx.doi.org/10.3390/atmos10090531.
Texto completoYang, S.-C., E. Kalnay, M. Cai, M. Rienecker, G. Yuan y Z. Toth. "ENSO Bred Vectors in Coupled Ocean–Atmosphere General Circulation Models". Journal of Climate 19, n.º 8 (15 de abril de 2006): 1422–36. http://dx.doi.org/10.1175/jcli3696.1.
Texto completoMeehl, Gerald A. "Development of global coupled ocean-atmosphere general circulation models". Climate Dynamics 5, n.º 1 (noviembre de 1990): 19–33. http://dx.doi.org/10.1007/bf00195851.
Texto completoFurrer, Reinhard, Stephan R. Sain, Douglas Nychka y Gerald A. Meehl. "Multivariate Bayesian analysis of atmosphere–ocean general circulation models". Environmental and Ecological Statistics 14, n.º 3 (3 de julio de 2007): 249–66. http://dx.doi.org/10.1007/s10651-007-0018-z.
Texto completoBorchert, Sebastian, Guidi Zhou, Michael Baldauf, Hauke Schmidt, Günther Zängl y Daniel Reinert. "The upper-atmosphere extension of the ICON general circulation model (version: ua-icon-1.0)". Geoscientific Model Development 12, n.º 8 (14 de agosto de 2019): 3541–69. http://dx.doi.org/10.5194/gmd-12-3541-2019.
Texto completoJoussaume, Sylvie. "Simulation of Airborne Impurity Cycles Using Atmospheric General Circulation Models". Annals of Glaciology 7 (1985): 131–37. http://dx.doi.org/10.3189/s0260305500006042.
Texto completoJoussaume, Sylvie. "Simulation of Airborne Impurity Cycles Using Atmospheric General Circulation Models". Annals of Glaciology 7 (1985): 131–37. http://dx.doi.org/10.1017/s0260305500006042.
Texto completoTesis sobre el tema "General circulation models atmosphere"
Vimont, Daniel J. "The seasonal footprinting mechanism in the CSIRO coupled general circulation models and in observations /". Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/10074.
Texto completoDubois, Clotilde. "The role of diapycnal mixing in coupled atmosphere-ocean general circulation models". Thesis, University of Southampton, 2006. https://eprints.soton.ac.uk/63133/.
Texto completoGehlot, Swati y Johannes Quaas. "Convection–climate feedbacks in the ECHAM5 general circulation model". Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177611.
Texto completoGrancini, Carlo. "Initial validation of an agile coupled atmosphere-ocean general circulation model". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25439/.
Texto completoSchirber, Sebastian, Daniel Klocke, Robert Pincus, Johannes Quaas y Jeffrey L. Anderson. "Parameter estimation using data assimilation in an atmospheric general circulation model". Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177507.
Texto completoJakob, Christian. "The representation of cloud cover in atmospheric general circulation models". Diss., lmu, 2001. http://nbn-resolving.de/urn:nbn:de:bvb:19-3281.
Texto completoMa, Liang 1962. "On the parameterization of slantwise convection in general circulation models". Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=37769.
Texto completoWe first study the characteristics of conditional symmetric instability (CSI) in an environment which is also unstable for conditional upright instability (CUI). The results indicate features common to both upright and slantwise convection. This so called slantwise buoyant instability (SBI) possesses two relevant time scales and its horizontal scale can ranges from tens of km up to over one thousand km.
We then analyze the 15-year ECMWF re-analysis (ERA) data to compute the global distributions of convective available potential energy (CAPE) and slantwise convective available energy (SCAPE). We show that the potential for CSI and CUI indeed co-exists over most areas around the globe. Based on the results of the theoretical study and the data analysis, a parameterization for slantwise convection was developed and implemented into gcm11. It was found that the scheme impacts significantly the simulated general circulation by the development of a direct meridional secondary circulation. The results of the 5-year simulations show that the scheme reduces SCAPE and SCAPE residual rs over the mid-latitudes, leading to a weakening of the thermal wind and the strength of the upper-level jets. The largest improvement in the simulated climate however lies in the reduced meridional transient eddy transports of heat and zonal momentum. With the inclusion of the scheme, the eddy transports agree much more favorably with the observational analysis.
Chechelnitsky, Michael Y. (Michael Yurievich) 1972. "Adaptive error estimation in linearized ocean general circulation models". Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/58516.
Texto completoIncludes bibliographical references (p. 206-211).
Data assimilation methods, such as the Kalman filter, are routinely used in oceanography. The statistics of the model and measurement errors need to be specified a priori. In this study we address the problem of estimating model and measurement error statistics from observations. We start by testing the Myers and Tapley (1976, MT) method of adaptive error estimation with low-dimensional models. We then apply the MT method in the North Pacific (5°-60° N, 132°-252° E) to TOPEX/POSEIDON sea level anomaly data, acoustic tomography data from the ATOC project, and the MIT General Circulation Model (GCM). A reduced state linear model that describes large scale internal (baroclinic) error dynamics is used. The MT method, closely related to the maximum likelihood methods of Belanger (1974) and Dee (1995), is shown to be sensitive to the initial guess for the error statistics and the type of observations. It does not provide information about the uncertainty of the estimates nor does it provide information about which structures of the error statistics can be estimated and which cannot. A new off-line approach is developed, the covariance matching approach (CMA), where covariance matrices of model-data residuals are "matched" to their theoretical expectations using familiar least squares methods. This method uses observations directly instead of the innovations sequence and is shown to be related to the MT method and the method of Fu et al. (1993). The CMA is both a powerful diagnostic tool for addressing theoretical questions and an efficient estimator for real data assimilation studies. It can be extended to estimate other statistics of the errors, trends, annual cycles, etc. Twin experiments using the same linearized MIT GCM suggest that altimetric data are ill-suited to the estimation of internal GCM errors, but that such estimates can in theory be obtained using acoustic data. After removal of trends and annual cycles, the low frequency /wavenumber (periods> 2 months, wavelengths> 16°) TOPEX/POSEIDON sea level anomaly is of the order 6 cm2. The GCM explains about 40% of that variance. By covariance matching, it is estimated that 60% of the GCM-TOPEX/POSEIDON residual variance is consistent with the reduced state linear model. The CMA is then applied to TOPEX/POSEIDON sea level anomaly data and a linearization of a global GFDL GCM. The linearization, done in Fukumori et al.(1999), uses two vertical mode, the barotropic and the first baroclinic modes. We show that the CMA method can be used with a global model and a global data set, and that the estimates of the error statistics are robust. We show that the fraction of the GCMTOPEX/ POSEIDON residual variance explained by the model error is larger than that derived in Fukumori et al.(1999) with the method of Fu et al.(1993). Most of the model error is explained by the barotropic mode. However, we find that impact of the change in the error statistics on the data assimilation estimates is very small. This is explained by the large representation error, i.e. the dominance of the mesoscale eddies in the TIP signal, which are not part of the 20 by 10 GCM. Therefore, the impact of the observations on the assimilation is very small even after the adjustment of the error statistics. This work demonstrates that simultaneous estimation of the model and measurement error statistics for data assimilation with global ocean data sets and linearized GCMs is possible. However, the error covariance estimation problem is in general highly underdetermined, much more so than the state estimation problem. In other words there exist a very large number of statistical models that can be made consistent with the available data. Therefore, methods for obtaining quantitative error estimates, powerful though they may be, cannot replace physical insight. Used in the right context, as a tool for guiding the choice of a small number of model error parameters, covariance matching can be a useful addition to the repertory of tools available to oceanographers.
by Michael Y. Chechelnitsky.
Ph.D.
Agarwal, Reema [Verfasser] y Detlef [Akademischer Betreuer] Stammer. "Improving an Atmosphere General Circulation model through Parameter Optimization / Reema Agarwal ; Betreuer: Detlef Stammer". Hamburg : Staats- und Universitätsbibliothek Hamburg, 2017. http://d-nb.info/1124591206/34.
Texto completoShongwe, Mxolisi Excellent. "Performance of recalibration systems of general circulation model forecasts over southern Africa". Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-07032007-102650.
Texto completoLibros sobre el tema "General circulation models atmosphere"
1948-, Randall David A., ed. General circulation model development. San Diego: Academic Press, 2000.
Buscar texto completoSatoh, Masaki. Atmospheric Circulation Dynamics and General Circulation Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-13574-3.
Texto completoTschuck, Peter. Atmospheric blocking in a general circulation model. Zürich: Geographisches Institut ETH, 1998.
Buscar texto completoJustus, C. G. Mars Global Reference Atmospheric Model 2001 Version (Mars-GRAM 2001): Users guide. Marshall Space Flight Center, Ala: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 2001.
Buscar texto completoDonner, Leo Joseph, Richard Somerville y Wayne H. Schubert. The development of atmospheric general circulation models: Complexity, synthesis, and computation. Cambridge: Cambridge University Press, 2011.
Buscar texto completoC, Bridger Alison F., Haberle Robert M y United States. National Aeronautics and Space Administration., eds. Mars Global Surveyor: Aerobraking and observations support using a Mars global circulation model : a NASA Ames Research Center Joint Research Interchange, final report : university consortium agreement NCC2-5148; project duration, 25 July 1995-24 October 1997. [Washington, DC: National Aeronautics and Space Administration, 1997.
Buscar texto completoC, Bridger Alison F., Haberle Robert M y United States. National Aeronautics and Space Administration., eds. Mars Global Surveyor: Aerobraking and observations support using a Mars global circulation model : a NASA Ames Research Center Joint Research Interchange, final report : university consortium agreement NCC2-5148; project duration, 25 July 1995-24 October 1997. [Washington, DC: National Aeronautics and Space Administration, 1997.
Buscar texto completo1928-, Gates W. Lawrence, World Climate Programme, World Meteorological Organization, Intergovernmental Oceanographic Commission y International Council of Scientific Unions., eds. An Intercomparison of selected features of the control climates simulated by coupled ocean-atmosphere general circulation models. [Geneva, Switzerland: World Meteorological Organization, Intergovernmental Oceanographic Commission, International Council of Scientific Unions, 1993.
Buscar texto completoMandke, S. K. Intercomparison of Asian summer monsoon 1997 simulated by atmospheric general circulation models. Pune: [Indian Institute of Tropical Meteorology], 2001.
Buscar texto completoCAS/JSC Working Group on Numerical Experimentation. y World Meteorological Organization, eds. An Intercomparison of the climates simulated by 14 atmospheric general circulation models. [Geneva, Switzerland]: World Meteorological Organization, 1991.
Buscar texto completoCapítulos de libros sobre el tema "General circulation models atmosphere"
Teixeira, Joao, Mark Taylor, Anders Persson y Georgios Matheou. "Atmospheric General Circulation Models". En Encyclopedia of Remote Sensing, 35–37. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_8.
Texto completoSatoh, Masaki. "Global nonhydrostatic models". En Atmospheric Circulation Dynamics and General Circulation Models, 661–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_26.
Texto completoSatoh, Masaki. "Vertical discretization of hydrostatic models". En Atmospheric Circulation Dynamics and General Circulation Models, 572–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_22.
Texto completoSatoh, Masaki. "Standard experiments of atmospheric general circulation models". En Atmospheric Circulation Dynamics and General Circulation Models, 689–702. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_27.
Texto completoSatoh, Masaki. "Basic equations of hydrostatic general circulation models". En Atmospheric Circulation Dynamics and General Circulation Models, 519–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_20.
Texto completoSatoh, Masaki. "Basic equations". En Atmospheric Circulation Dynamics and General Circulation Models, 4–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_1.
Texto completoSatoh, Masaki. "Radiation process". En Atmospheric Circulation Dynamics and General Circulation Models, 276–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_10.
Texto completoSatoh, Masaki. "Turbulence". En Atmospheric Circulation Dynamics and General Circulation Models, 293–322. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_11.
Texto completoSatoh, Masaki. "Global energy budget". En Atmospheric Circulation Dynamics and General Circulation Models, 326–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_12.
Texto completoSatoh, Masaki. "Latitudinal energy balance". En Atmospheric Circulation Dynamics and General Circulation Models, 353–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-13574-3_13.
Texto completoActas de conferencias sobre el tema "General circulation models atmosphere"
Entekhabi, Dara y Peter S. Eagleson. "The representation of landsurface-atmosphere interaction in atmospheric general circulation models". En The world at risk: Natural hazards and climate change. AIP, 1992. http://dx.doi.org/10.1063/1.43903.
Texto completoLoft, Richard D., Stephen J. Thomas y John M. Dennis. "Terascale spectral element dynamical core for atmospheric general circulation models". En the 2001 ACM/IEEE conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/582034.582052.
Texto completoLOFT, RICHARD D. y STEPHEN J. THOMAS. "SEMI-IMPLICIT SPECTRAL ELEMENT METHODS FOR ATMOSPHERIC GENERAL CIRCULATION MODELS". En Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799685_0007.
Texto completoMartin, C. y R. Platt. "The Experimental Cloud Lidar Pilot Study (ECLIPS) Program". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/orsa.1991.owa2.
Texto completoEberhard, Wynn L. y Janet M. Intrieri. "Cirrus Physical and Radiative Parameters from Simultaneous Lidar, Radar, and Infrared Radiometer Measurements". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb2.
Texto completoStokes, Gerald M. "Optical Remote Sensing in the Atmospheric Radiation Measurement Program". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/orsa.1991.owa1.
Texto completoSiew, Jing Huey, Fredolin T. Tangang y Liew Juneng. "Evaluation of CMIP5 coupled atmosphere-ocean general circulation models over the Southeast Asian winter monsoon in the 20th century". En THE 2014 UKM FST POSTGRADUATE COLLOQUIUM: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2014 Postgraduate Colloquium. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4895283.
Texto completoTjemkes, Stephen A. y Graeme L. Stephens. "Microwave observations of precipitable water". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd10.
Texto completoBisson, Scott E. y J. E. M. Goldsmith. "Daytime Tropospheric Water Vapor Profile Measurements with a Raman Lidar". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.mb.4.
Texto completoFerrare, R. A., D. N. Whiteman, S. H. Melfi, K. D. Evans y B. N. Holben. "Raman Lidar and Sun Photometer Measurements of Aerosols and Water Vapor During the ARM RCS Experiment". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.tha2.
Texto completoInformes sobre el tema "General circulation models atmosphere"
Gleckler, P. J., D. A. Randall y G. Boer. Cloud-radiative effects on implied oceanic energy transports as simulated by atmospheric general circulation models. Office of Scientific and Technical Information (OSTI), marzo de 1994. http://dx.doi.org/10.2172/10162018.
Texto completoGates, W. y K. Sperber. Temporal behavior of tropical Pacific SST (supersonic transport) in the OSU (Oregon State University) coupled atmosphere: Upper ocean GCM (general circulation models). Office of Scientific and Technical Information (OSTI), febrero de 1990. http://dx.doi.org/10.2172/7106559.
Texto completoFrank, William M., James J. Hack y Jeffrey T. Kiehl. Improvement of Moist and Radiative Processes in Highly Parallel Atmospheric General Circulation Models: Validation and Development. Office of Scientific and Technical Information (OSTI), febrero de 1997. http://dx.doi.org/10.2172/7213.
Texto completoGutowski, W. J., D. S. Gutzler, D. Portman y W. C. Wang. Surface energy balances of three general circulation models: Current climate and response to increasing atmospheric CO[sub 2]. Office of Scientific and Technical Information (OSTI), abril de 1988. http://dx.doi.org/10.2172/6658649.
Texto completoGutowski, W. J., D. S. Gutzler, D. Portman y W. C. Wang. Surface energy balances of three general circulation models: Current climate and response to increasing atmospheric CO{sub 2}. Office of Scientific and Technical Information (OSTI), abril de 1988. http://dx.doi.org/10.2172/10133081.
Texto completoRandall, D. A. Development of an advanced finite-difference atmospheric general circulation model. Office of Scientific and Technical Information (OSTI), marzo de 1992. http://dx.doi.org/10.2172/5676778.
Texto completoCovey, C. ,. LLNL. Precipitation-climate sensitivity to initial conditions in an atmospheric general circulation model. Office of Scientific and Technical Information (OSTI), marzo de 1997. http://dx.doi.org/10.2172/664594.
Texto completoWang, W. C. [Treatment of cloud radiative effects in general circulation models]. Office of Scientific and Technical Information (OSTI), noviembre de 1993. http://dx.doi.org/10.2172/10103241.
Texto completoMichael J Iacono. Application of Improved Radiation Modeling to General Circulation Models. Office of Scientific and Technical Information (OSTI), abril de 2011. http://dx.doi.org/10.2172/1010861.
Texto completoSperber, K. y H. Annamalai. Asian Summer Monsoon Intraseasonal Variability in General Circulation Models. Office of Scientific and Technical Information (OSTI), febrero de 2004. http://dx.doi.org/10.2172/15009797.
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