Results 91 to 100 of about 7,237 (212)

Numerical Simulation of Typhoon Dot (1990) during TCM-90:Typhoon Dot¡¦s Discontinuous Track Across Taiwan

open access: yesTerrestrial, Atmospheric and Oceanic Sciences, 2006
A numerical simulation associated with Typhoon Dot (1990) was made using the fifth-generation Pennsylvania State University - National Center for Atmospheric Research Mososcale Model (MM5) initialized with data from the Tropical Cyclone Motion (TCM-90 ...
Guo-Ji Jian   +2 more
doaj   +1 more source

Estudio de la climatología ecuatorial andina con métodos numéricos: pronósticos de tiempo, validaciones y reconstrucción de la atmósfera

open access: yesLa Granja: Revista de Ciencias de la Vida, 2009
La siguiente investigación, describe dos tipos de estudios acerca del clima y tiempo del Ecuador, implementando los modelos numéricos MM5 (Mesoescale Model versión 5) y WRF (Weather Research Forecasting Model), mostrando sus características principales e
Enrique Palacios   +2 more
doaj   +1 more source

Ensemble‐based simultaneous state and parameter estimation with MM5

open access: yesGeophysical Research Letters, 2006
The performance of the ensemble Kalman filter (EnKF) under imperfect model conditions is investigated through simultaneous state and parameter estimation for a numerical weather prediction model of operational complexity (MM5). The source of model error is assumed to be the uncertainty in the vertical eddy mixing coefficient.
Altuğ Aksoy   +2 more
openaire   +1 more source

Scale-dependency of surface fluxes in an atmospheric mesoscale model: effect of spatial heterogeneity in atmospheric conditions [PDF]

open access: yesNonlinear Processes in Geophysics, 2008
We examined the nonlinear effect of spatial heterogeneity in atmospheric conditions on the simulation of surface fluxes in the mesoscale model, MM5 by testing their scale-invariance from a tower footprint to regional scales.
Jinkyu Hong, Joon Kim
doaj  

Study of ensemble forecasting based on different meteorological numerical products by using RBF artificial neural network(RBF神经网络集成多个气象数值产品的方法研究)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2006
对MM5V3模式中16组组合区域气候模拟试验所得的结果,分区域以RBF神经网络进行集成,分析了网络结构参数的不同对集成结果的影响,最后对整个区域的温度场进行了集成.结果表明:选择合适的网络结构参数是至关重要的,神经网络的非线性集成结果均明显优于单个参数化方案和16个方案线性集成的预测结果,整个区域的温度场集成结果比MM5模拟更接近于实况场,均方根误差场也较原MM5方案明显减小.这些结果对于区域气候的集成预测以及进一步优化神经网络的性能有一定的参考意义.
GAOLing-hua(高领花)   +2 more
doaj   +1 more source

Polar MM5 Simulations of the Winter Climate of the Laurentide Ice Sheet at the LGM

open access: yes, 2004
Optimized regional climate simulations are conducted using the Polar MM5, a version of the fifth-generation Pennsylvania State University-NCAR Mesoscale Model (MM5), with a 60-km horizontal resolution domain over North America during the Last Glacial ...
Toracinta, E. Richard   +5 more
core   +1 more source

Temperature sensitivity to the land-surface model in MM5 climate simulations over the Iberian Peninsula

open access: yesMeteorologische Zeitschrift, 2010
Three different Land Surface Models have been used in three high resolution climate simulations performed with the mesoscale model MM5 over the Iberian Peninsula.
Sonia Jerez   +5 more
doaj   +1 more source

敦煌莫高窟顶风沙综合防护体系固沙效应的数值模拟

open access: yesShuitu Baochi Xuebao, 2005
结合中尺度大气模式MM5和Shao的风蚀起沙方案,对敦煌莫高窟顶灌木林带和草方格沙障的固沙效应进行数值模拟研究。结果表明:灌木林带的建立,使其地表风蚀起沙的临界摩擦速度(ut)达到1.15m/s,是林带建立前的4.1倍,地表的顺风向沙粒通量(Q)和垂直尘粒通量(F)均减小为0,完全抑制了地表风蚀起沙;草方格沙障的设置,使ut达到0.53m/s,为设置前的1.9倍,Q和F分别减少约3/5和7/8,固沙效果非常明显。一般情况下,ut不会大于1.0m/s,充分说明灌木林带比草方格具有更强的固沙效果 ...
汪万福 申彦波 王涛 沈志宝 杜明远
doaj  

Evaluation of WRF mesoscale simulations and particle trajectory analysis for the MILAGRO field campaign [PDF]

open access: yesAtmospheric Chemistry and Physics, 2009
Accurate numerical simulations of the complex wind flows in the Mexico City Metropolitan Area (MCMA) can be an invaluable tool for interpreting the MILAGRO field campaign results.
B. de Foy   +3 more
doaj  

realization of self-adapting ikawa parameter in mm5

open access: yes, 2007
在"大规模科学计算在生态环境研究中的应用"项目的研究中,我们移植国际上比较成熟的软件MM5进行气象数据场的计算.在实际计算时,由于初始数据采集误差较大等原因,MM5中采用了很多固定的平滑因子,造成MM5不能模拟复杂多变环境现象,而我国地形、环境的多样性,使得数值计算结果不能令人满意.为了解决这个问题,我们引入自适应算法对软件中IKAWA参数进行自适应选择.由于是并行计算,改进引起的额外时间开销是可接受的 ...
迟学斌   +3 more
core   +1 more source

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