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Статті в журналах з теми "General circulation models atmosphere"
Pozzer, A., P. Jöckel, B. Kern, and H. Haak. "The Atmosphere-Ocean General Circulation Model EMAC-MPIOM." Geoscientific Model Development 4, no. 3 (September 9, 2011): 771–84. http://dx.doi.org/10.5194/gmd-4-771-2011.
Повний текст джерелаPozzer, A., P. Jöckel, B. Kern, and H. Haak. "The atmosphere-ocean general circulation model EMAC-MPIOM." Geoscientific Model Development Discussions 4, no. 1 (March 4, 2011): 457–95. http://dx.doi.org/10.5194/gmdd-4-457-2011.
Повний текст джерелаBye, John A. T., and Jörg-Olaf Wolff. "Atmosphere–Ocean Momentum Exchange in General Circulation Models." Journal of Physical Oceanography 29, no. 4 (April 1999): 671–92. http://dx.doi.org/10.1175/1520-0485(1999)029<0671:aomeig>2.0.co;2.
Повний текст джерелаMedvedev, Alexander S., and Erdal Yiğit. "Gravity Waves in Planetary Atmospheres: Their Effects and Parameterization in Global Circulation Models." Atmosphere 10, no. 9 (September 9, 2019): 531. http://dx.doi.org/10.3390/atmos10090531.
Повний текст джерелаYang, S.-C., E. Kalnay, M. Cai, M. Rienecker, G. Yuan, and Z. Toth. "ENSO Bred Vectors in Coupled Ocean–Atmosphere General Circulation Models." Journal of Climate 19, no. 8 (April 15, 2006): 1422–36. http://dx.doi.org/10.1175/jcli3696.1.
Повний текст джерелаMeehl, Gerald A. "Development of global coupled ocean-atmosphere general circulation models." Climate Dynamics 5, no. 1 (November 1990): 19–33. http://dx.doi.org/10.1007/bf00195851.
Повний текст джерелаFurrer, Reinhard, Stephan R. Sain, Douglas Nychka, and Gerald A. Meehl. "Multivariate Bayesian analysis of atmosphere–ocean general circulation models." Environmental and Ecological Statistics 14, no. 3 (July 3, 2007): 249–66. http://dx.doi.org/10.1007/s10651-007-0018-z.
Повний текст джерелаBorchert, Sebastian, Guidi Zhou, Michael Baldauf, Hauke Schmidt, Günther Zängl, and Daniel Reinert. "The upper-atmosphere extension of the ICON general circulation model (version: ua-icon-1.0)." Geoscientific Model Development 12, no. 8 (August 14, 2019): 3541–69. http://dx.doi.org/10.5194/gmd-12-3541-2019.
Повний текст джерелаJoussaume, 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.
Повний текст джерелаJoussaume, 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.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаDubois, Clotilde. "The role of diapycnal mixing in coupled atmosphere-ocean general circulation models." Thesis, University of Southampton, 2006. https://eprints.soton.ac.uk/63133/.
Повний текст джерелаGehlot, Swati, and 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.
Повний текст джерелаGrancini, 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/.
Повний текст джерелаSchirber, Sebastian, Daniel Klocke, Robert Pincus, Johannes Quaas, and 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.
Повний текст джерелаJakob, Christian. "The representation of cloud cover in atmospheric general circulation models." Diss., lmu, 2001. http://nbn-resolving.de/urn:nbn:de:bvb:19-3281.
Повний текст джерелаMa, 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.
Повний текст джерелаWe 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.
Повний текст джерелаIncludes 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], and 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.
Повний текст джерелаShongwe, 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.
Повний текст джерелаКниги з теми "General circulation models atmosphere"
1948-, Randall David A., ed. General circulation model development. San Diego: Academic Press, 2000.
Знайти повний текст джерелаSatoh, 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.
Повний текст джерелаTschuck, Peter. Atmospheric blocking in a general circulation model. Zürich: Geographisches Institut ETH, 1998.
Знайти повний текст джерелаJustus, 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.
Знайти повний текст джерелаDonner, Leo Joseph, Richard Somerville, and Wayne H. Schubert. The development of atmospheric general circulation models: Complexity, synthesis, and computation. Cambridge: Cambridge University Press, 2011.
Знайти повний текст джерелаC, Bridger Alison F., Haberle Robert M, and 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.
Знайти повний текст джерелаC, Bridger Alison F., Haberle Robert M, and 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.
Знайти повний текст джерела1928-, Gates W. Lawrence, World Climate Programme, World Meteorological Organization, Intergovernmental Oceanographic Commission, and 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.
Знайти повний текст джерелаMandke, S. K. Intercomparison of Asian summer monsoon 1997 simulated by atmospheric general circulation models. Pune: [Indian Institute of Tropical Meteorology], 2001.
Знайти повний текст джерелаCAS/JSC Working Group on Numerical Experimentation. and World Meteorological Organization, eds. An Intercomparison of the climates simulated by 14 atmospheric general circulation models. [Geneva, Switzerland]: World Meteorological Organization, 1991.
Знайти повний текст джерелаЧастини книг з теми "General circulation models atmosphere"
Teixeira, Joao, Mark Taylor, Anders Persson, and Georgios Matheou. "Atmospheric General Circulation Models." In 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.
Повний текст джерелаSatoh, Masaki. "Global nonhydrostatic models." In 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.
Повний текст джерелаSatoh, Masaki. "Vertical discretization of hydrostatic models." In 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.
Повний текст джерелаSatoh, Masaki. "Standard experiments of atmospheric general circulation models." In 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.
Повний текст джерелаSatoh, Masaki. "Basic equations of hydrostatic general circulation models." In 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.
Повний текст джерелаSatoh, Masaki. "Basic equations." In 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.
Повний текст джерелаSatoh, Masaki. "Radiation process." In 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.
Повний текст джерелаSatoh, Masaki. "Turbulence." In 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.
Повний текст джерелаSatoh, Masaki. "Global energy budget." In 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.
Повний текст джерелаSatoh, Masaki. "Latitudinal energy balance." In 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.
Повний текст джерелаТези доповідей конференцій з теми "General circulation models atmosphere"
Entekhabi, Dara, and Peter S. Eagleson. "The representation of landsurface-atmosphere interaction in atmospheric general circulation models." In The world at risk: Natural hazards and climate change. AIP, 1992. http://dx.doi.org/10.1063/1.43903.
Повний текст джерелаLoft, Richard D., Stephen J. Thomas, and John M. Dennis. "Terascale spectral element dynamical core for atmospheric general circulation models." In the 2001 ACM/IEEE conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/582034.582052.
Повний текст джерелаLOFT, RICHARD D., and STEPHEN J. THOMAS. "SEMI-IMPLICIT SPECTRAL ELEMENT METHODS FOR ATMOSPHERIC GENERAL CIRCULATION MODELS." In 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.
Повний текст джерелаMartin, C., and R. Platt. "The Experimental Cloud Lidar Pilot Study (ECLIPS) Program." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/orsa.1991.owa2.
Повний текст джерелаEberhard, Wynn L., and Janet M. Intrieri. "Cirrus Physical and Radiative Parameters from Simultaneous Lidar, Radar, and Infrared Radiometer Measurements." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb2.
Повний текст джерелаStokes, Gerald M. "Optical Remote Sensing in the Atmospheric Radiation Measurement Program." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/orsa.1991.owa1.
Повний текст джерелаSiew, Jing Huey, Fredolin T. Tangang, and Liew Juneng. "Evaluation of CMIP5 coupled atmosphere-ocean general circulation models over the Southeast Asian winter monsoon in the 20th century." In 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.
Повний текст джерелаTjemkes, Stephen A., and Graeme L. Stephens. "Microwave observations of precipitable water." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd10.
Повний текст джерелаBisson, Scott E., and J. E. M. Goldsmith. "Daytime Tropospheric Water Vapor Profile Measurements with a Raman Lidar." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.mb.4.
Повний текст джерелаFerrare, R. A., D. N. Whiteman, S. H. Melfi, K. D. Evans, and B. N. Holben. "Raman Lidar and Sun Photometer Measurements of Aerosols and Water Vapor During the ARM RCS Experiment." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.tha2.
Повний текст джерелаЗвіти організацій з теми "General circulation models atmosphere"
Gleckler, P. J., D. A. Randall, and G. Boer. Cloud-radiative effects on implied oceanic energy transports as simulated by atmospheric general circulation models. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10162018.
Повний текст джерелаGates, W., and 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), February 1990. http://dx.doi.org/10.2172/7106559.
Повний текст джерелаFrank, William M., James J. Hack, and 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), February 1997. http://dx.doi.org/10.2172/7213.
Повний текст джерелаGutowski, W. J., D. S. Gutzler, D. Portman, and 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), April 1988. http://dx.doi.org/10.2172/6658649.
Повний текст джерелаGutowski, W. J., D. S. Gutzler, D. Portman, and 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), April 1988. http://dx.doi.org/10.2172/10133081.
Повний текст джерелаRandall, D. A. Development of an advanced finite-difference atmospheric general circulation model. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/5676778.
Повний текст джерелаCovey, C. ,. LLNL. Precipitation-climate sensitivity to initial conditions in an atmospheric general circulation model. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/664594.
Повний текст джерелаWang, W. C. [Treatment of cloud radiative effects in general circulation models]. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10103241.
Повний текст джерелаMichael J Iacono. Application of Improved Radiation Modeling to General Circulation Models. Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1010861.
Повний текст джерелаSperber, K., and H. Annamalai. Asian Summer Monsoon Intraseasonal Variability in General Circulation Models. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/15009797.
Повний текст джерела