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4 edition of Nested model simulations of regional orographic precipition found in the catalog.

Nested model simulations of regional orographic precipition

Matthews, David A.

Nested model simulations of regional orographic precipition

by Matthews, David A.

  • 28 Want to read
  • 17 Currently reading

Published by U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, Available from the National Technical Information Service, Operations Division in Denver, Colo, Springfield, Va .
Written in English

    Subjects:
  • Precipitation (Meteorology) -- Mathematical models,
  • Precipitation (Meteorology) -- Simulation methods,
  • Precipitation forecasting -- Mathematical models,
  • Precipitation forecasting -- Simulation methods,
  • Water-supply -- Forecasting -- Mathematical models,
  • Hydrological forecasting -- Mathematical models

  • Edition Notes

    StatementDavid A. Matthews and Tom Hovland
    ContributionsHovland, Tom, United States. Bureau of Reclamation. Denver Office. Technical Service Center, Global Climate Change Response Program (U.S.)
    The Physical Object
    FormatMicroform
    Paginationxi, 61 p.
    Number of Pages61
    ID Numbers
    Open LibraryOL13567323M
    OCLC/WorldCa39136357

    High resolution January and July present day climatologies over the central-western Alpine region are simulated with a Regional Climate Model (RegCM) nested within a General Circulation Model (GCM). The RegCM was developed at the National Center for Atmospheric Research (NCAR) and is run at 20 km grid point spacing. The model is driven by output from a “present day” climate simulation. [1] This study uses the newly developed Climate extension of Weather Research and Forecasting (CWRF) model nested in the National Centers for Environmental Prediction (NCEP) operational Climate Forecast System (CFS) to improve interannual prediction of cold season precipitation over the United States. An ensemble of 5 retrospective forecasts for 27‐cold seasons (December–April) during Cited by:

    Jones, R. G., Murphy, J. M., and Noguer, M. (). Simulation of climate change over Europe using a nested regional climate model. Part I: Assessment of control climate including sensitivity to location of lateral boundaries. Quaterly Journal of the Royal Meteorological Society , – Google ScholarCited by: 4.   Abstract. This study investigates the refined simulation skill that results when the regional Climate extension of the Weather Research and Forecasting (CWRF) model is nested in the ECMWF Hamburg version (ECHAM) atmospheric general circulation model over the United States during , where observed sea surface temperatures are used in both by: 4.

    The objective of this paper is to develop a set of high resolution, grid-based IDF curves based on MM5’s simulation. To achieve that, we first simulated 27 years of summer precipitation for central Alberta (), and the simulated precipitable water and 2-m air temperature are compared with the ERA-Interim reanalysis data because these are two climate variables crucial for simulating accurate Cited by:   1. Introduction [2] General circulation models (GCMs) provide a realistic contribution to the simulation of current and future climate but are not capable of resolving the smaller‐scale circulation characteristics that are important for a correct regional climate simulation. Limited area models (LAMs) nested within global climate models, or nested within data analyses, are capable of Cited by:


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Nested model simulations of regional orographic precipition by Matthews, David A. Download PDF EPUB FB2

Get this from a library. Nested model simulations of regional orographic precipitation. [David A Matthews; Tom Hovland; United States. Bureau of Reclamation. Denver Office. Technical Service Center.; Global Climate Change Response Program (U.S.)]. Nested grid simulations were compared against uniform-resolution simulations, and against reanalyses, to determine the effect of grid nesting on both the modeled global climate and the simulation of small-scale features.

Orographically forced precipitation was robustly found to be simulated with more detail and greater re. Owing to the more realistic topography in the MM4, the nested model system produces better regional detail of precipitation and temperature distribution than the CCM1 alone.

Temperature and precipitation means, as well as frequencies of daily precipitation intensifies simulated by the nested MM4, compare well with high resolution observations, particularly in their spatial by: Precipitation Simulations Using WRF as a Nested Regional Climate Model.

This note examines the sensitivity of simulated U.S. warm-season precipitation in the Weather Research and Forecasting model (WRF), used as a nested regional climate model, to variations in model setup. Different from previous studies, we ran the regional climate model with very high, nested spatial resolution over a relatively long time period, so that the simulation results given in this paper could be more reliable and capture the effects upon the seasonal cycle of temperature and precipitation.

[28] Our simulation results suggest that the Cited by: sity for regional climate simulations of the effects of vegetation change in the United States. Machenhauer et al. [] used the Max Planck Institute (MPI) nested limited area model for regional climate simula- tions.

Dudek et al. [] developed a regional climate model which was used to study the scale dependence ofCited by: The nested simulation resolves features such as land/ocean contrast and higher deposition due to orographic precipitation, and predicts more efficient convective rain scavenging of Hg over the.

Geophysical Research Letters; Global Biogeochemical Cycles; Journal of Advances in Modeling Earth Systems (JAMES). As an example in regions of complex terrain, Leung and Ghan (,) developed and applied a subgrid parameterization of orographic precipitation in a regional climate model of the Pacific Northwest.

Their results suggested that simulations performed at 90 km with the subgrid parameterization were better than simulations performed at 30 km, but without the subgrid by: Orographic rainfall is rain that occurs as moist air is forced to rise by mountain slopes.

It is a common climate pattern in coastal mountains and mountains in the trade wind latitudes. Precipitation that results when moist air is lifted over a topographic barrier such as a mountain range.

Most models underestimate the interannual variability and the bias of CV ranges from −27% to +34%. A group of regional climate simulations captures quite well both mean annual P Cited by: 4. AMIP climate simulations were performed and compared against single-grid simulations and reanalyses; in particular, the precipitation on the nested grid was analyzed to determine if grid nesting could improve the representation of finescale features and reduce existing model biases.

In all simulations orographic precipitation was represented with greater detail when nesting Cited by: Abstract Regional Climate Models (RCMs) constitute the most often used method to perform affordable high-resolution regional climate simulations.

The key issue in the evaluation of nested regional models is to determine whether RCM simulations improve the representation of climatic statistics compared to the driving data, that is, whether RCMs Cited by: The nested simulation resolves features such as higher deposition due to orographic precipitation, land/ocean con-trast and and predicts more efficient convective rain scav-enging of Hg over the southeast United States.

However, the nested model overestimates Hg wet deposition over the Ohio River Valley region (ORV) by 27%. We modify an. Multiply Nested Regional Climate Simulation for Southern South America: Sensitivity to Model Resolution MAISA ROJAS fluences the simulation of precipitation processes when orographic effects are important is addressed in this paper.

Two 5-month-long simulations using the fifth. Numerical simulation of orographic rainbands. Authors. Numerical modeling is a natural and complementary tool for the understanding of orographic precipitation. in order to exchange information from the km horizontal resolution model up to the 1-km horizontal resolution model.

The nested domains are presented in Figure 2. Online coupled regional climate–chemistry simulations were carried out for two nested regions in Europe with horizontal resolutions of 60 km and 20 km.

Climate-change effects on tropospheric ozone in central Europe were estimated by simulating about 10 years for the present-day and possible future climate by: Significant changes occur in the surface heat balance.

the spatial patterns of surface air temperature and precipitation over Europe are well simulated by both the GCM and the RCM on scales resolved by the former. At finer scales the RCM contains a strong signal which is related to orographic by: Reliability of regional and global climate models to simulate precipitation extremes over India Vimal Mishra.

Corresponding Author. On climate model simulations of the large‐scale meteorology associated with California heat waves, Improved Simulation of Regional Climate by Global Models with Higher Resolution. Regional Climate Model Simulations of U.S.

Precipitation and Surface Air Temperature during Interannual Variation Article in Journal of Climate 20(2) January with 12 Reads. Regional Climate Models (RCMs) constitute the most often used method to perform affordable high-resolution regional climate simulations.

The key issue in the evaluation of nested regional models is to determine whether RCM simulations improve the representation of climatic statistics compared to the driving data, that is, whether RCMs add by: Observations and Regional Climate Model Simulations of Heavy Precipitation Events and Seasonal Anomalies: A Comparison Article (PDF Available) in Journal of Hydrometeorology 3(3).

Giorgi, F., Simulation of regional climate using a limited area model nested in a general circulation model. Climate, 3, – Giorgi, F., Sensitivity of simulated summertime precipitation over the western United States to different physics Cited by: