2 edition of January global climate simulated by the two-level Mintz-Arakawa model found in the catalog.
January global climate simulated by the two-level Mintz-Arakawa model
W. Lawrence Gates
Bibliography: p. 105-107.
|Statement||W. L. Gates.|
|Series||[Report] - Rand Corporation ; R-1005-ARPA|
|LC Classifications||AS36 .R3 R-1005, QC880.4.A8 .R3 R-1005|
|The Physical Object|
|Pagination||ix, 107 p. :|
|Number of Pages||107|
|LC Control Number||79304286|
Numerical weather simulation. The weather research and forecasting (WRF) model version (Skamarock et al. ) was used for the numerical weather shown in Fig. 1, two-way, two-level nesting was adopted in this spatial resolutions of the simulations were 30 km and 6 km for the parent (D01) and child (D02) domains, respectively. A documentation of the OSU two-level atmospheric general circulation model Report No. 35, Climate Research Institute, Oregon State University, Corvallis, Oregon, USA. Hansen, J., et al. "Efficient three-dimensional global models for climate studies: Models I and ".
The book written by the author and Claire Parkinson and NASA (An Introduction to Climate Modeling (, 2nd Edition), University Science Books) explains the basic history and fundamentals that are in climate models. 6 NCAR modeling history can be found in the NCAR Quarterly January and November Numerical simulation of the January and July global climate with a two-level atmospheric model, J. Atmos. Sci., 34, , (W.L. Gates and M.E. Schlesinger). Numerical simulation of ozone production, transport and distribution with a global atmospheric general circulation model, J. Atmos. Sci., 36, , (M.E. Schlesinger and Y.
with the two-level Mintz-Arakawa global general circulation model (Gates et al., ). Certain hypothetical anomalous patterns were superimposed on the Pacific SST field in those experiments. The imposed anomaly patterns persist either over a season or over one month. The responses of the model . Below, Brandon Smith briefly discusses the simulation of a pandemic event, called Event , that took place just 3 months ago, based on the Coronavirus outbreak. Remember how simulation exercises have always been going on during, or contiguous to, some of the biggest so-called terrorist events of our times? (9/11, 7/7 bus bombings, etc.).
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The mean global distributions of pressure, temperature, wind, moisture, cloudiness, precipitation, evaporation, and surface heat balance simulated for January by the two-level Mintz-Arakawa atmospheric general circulation model are compared with the corresponding observed by: The January Global Climate Simulated by the Two-Level Mintz-Arakawa Model: A Comparison with Observation | RAND The identification of errors in this simulation is a necessary prelude to the analysis of future experiments.
The approach used is to compare one variable at a time, as depicted by the model, with the best obtainable observations. Get this from a library. The January global climate simulated by the two-level Mintz-Arakawa model: a comparison with observation.
[W Lawrence Gates; Rand Corporation.; United States. Advanced Research Projects Agency.]. $ 20% Web Discount Discussion of the source-term results of a simulation of the global January climate by means of the two-level Mintz-Arakawa atmospheric general-circulation model.
The source terms under consideration are the mean surface wind stress, the net diabatic heating rate, and the net rate of moisture addition. The mean global distributions of pressure, temperature, wind, moisture, cloudiness, precipitation, evaporation, and surface heat balance simulated for January by the two-level Mintz-Arakawa atmospheric general circulation model are compared with Cited by: Abstract The global distributions of the mean January surface wind stress, the net diabatic heating rate, and the net rate of moisture addition as simulated in a day integration with the two-level, Mintz-Arakawa atmospheric general circulation model are presented.
The January Climate Simulated by the Two-Level Mintz--Arakawa Model: A Comparison With Observation. RARPA, Rand, Santa Monica, Calif., pp. Gates, W. L., Analysis of the mean forcing fields simulated by the two-level Mintz--Arakawa atmospheric model.
W.L. GatesThe January global climate simulated by a two-level general circulation model: a comparison with observation J.
Atmos. Sci., 32 (), pp. Google Scholar. The January Global Climate Simulated by the Two-level Mintz-Arakawa Model: A Comparison with Observation. Santa Monica, Calif., Rand Corp.
RARPA. The January global climate simulated by the two level Mintz Arakawa model: A comparison with observation, ARPA Report RARPA, Rand Corporation, Santa Monica, pp.
Google Scholar Guinot. B., Work of the BIH on the Rotation of the Earth. It is the purpose of the present report to present a comprehensive comparison with observation of the global climatic simulations made with a recent formulation of the two-level Mintz-Arakawa model (Gates et al., ).
The performance of this model may. The January global climate iwhulated by the two-level Mirrtz-Arakawa model: a comparison with observation.
The Rand C o p, Santa Monica. Design of the UCLA general circulation model. Gates, W. and Schlesinger, M. (),Numerical simulation of the January and July global climate with a two-level general circulation model, J.
Atmos. Sci., In press. In press. Gilchrist, A. (), A general circulation model of the atmosphere incorporating an explicit boundary layer top, Tech. Note II/29, Meteorological Office, Bracknell. Gates and M. Schlesinger, "Numerical simulation of the January and July global climate with a two-level atmospheric model: a new comparison with observation" (unpublished manuscript, Rand Corporation.
Santa Monica, Calif., ); C. Schutz and W. Gates. Global Climatic Data for Surface, mb. mb:July (R-Rand Corporation. A seasonal, zonally averaged, climate model is developed using a hypothetical meridional circulation, which reproduces the atmospheric dynamical heating of a two-level general circulation model.
The first temperature-sounding satellite was going to be launched soon. We started a project with the most comprehensive atmospheric circulation model (AGCM) of the time, the two-level Mintz–Arakawa model, to simulate how these new temperature soundings might impact weather forecasting.
Age Climate with a Global General Circulation Model(Rand Corporation, Santa Monica, Calif., A Documentation of the Mintz-Arakawa Two-Level Atmospheric General Circulation Model(R, RandCorporation, Santa Monica, ().
Gates and M. Schlesinger, "Numerical simulation of the January andJuly global climate with atwo-level. Abstract. A critical stage in the development of our ability to model and project climate change occurred in the late s–early s when the first primitive-equation atmospheric general circulation models (AGCMs) were created.
A rather idiosyncratic project to develop an AGCM was conducted virtually alone by Cecil E. Leith starting near the end of the s.
R/1-ARPA, May ; W. Gates, The January Global Climate Simu- lated by the Two-Level Mintz-Arakawa Model: A Comparieon with Obaer- vation, RARPA, November ; W. Gates, The January and July Climatee Simulated by a Global 2-Level General Circulation Model: A.  This paper analyzes the sensitivity of simulated climate and energy balance to changes in soil emissivity over Northern Africa and the Arabian Peninsula and considers how this information may be used to improve emissivity parameterizations in climate models.
Analysis of satellite observations suggests that the soil emissivity in current models is too high over this region. 94 K. Hamilton: At the dawn of global climate modeling ). This model was then further developed at UCLA and elsewhere, resulting in a “family” of UCLA-related global models (Arakawa, ; Edwards, ); at least one “di-rect descendent” is a UCLA climate model that is still used today (e.g., Kang et al., ).
Inanother."A two-level global circulation model is used to simulate the Arctic climate for both January and July. From separate month-long simulations, the summer and winter distributions of pressure, surface air temperature, precipitation and cloudiness north of 50 N are compared with the corresponding observed fields."--Abstract.
For the model simulation, although AO signals were found using both metrics of the QBO, the two‐level analysis reveals an NAO teleconnection that is absent from the single‐level analysis. The two‐level analysis of the AO link with the QBO is better at discriminating between the strength of the observed and simulated effect, such that the.