The Utility of Mesoscale Observations for the Short-term Prediction of Convection
نویسنده
چکیده
data for this study was collected. Since that time, the network has been upgraded to 114 stations, and current plans call to augment all "core-parameter sites" with the full complement of "supplemental" sensors, including soil moisture sensors at each Mesonet site. Figure 1. Predicted response from the Barnes objective analysis scheme using four passes for both the Mesonet and Federal network. The response after one pass is shown for reference. The response for the Nyquist wavelength for each network was defined to be 6%. THE UTILITY OF MESOSCALE OBSERVATIONS FOR THE SHORT-TERM PREDICTION OF CONVECTION
منابع مشابه
Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model
Lightning measurements from the Geostationary Lightning Mapper (GLM) that will be aboard the Geostationary Operational Environmental Satellite – R Series will bring new information that can have the potential for improving the initialization of numerical weather prediction models by assisting in the detection of clouds and convection through data assimilation. In this study we focus on investig...
متن کاملShort-term Prediction of Tehran Stock Exchange Price Index (TEPIX): Using Artificial Neural Network (ANN)
The main objective of this study is to find out whether an Artificial Neural Network (ANN) will be useful to predict stock market price, which is highly non-linear and uncertain. Specifically, this study will focus on forecasting TSE Price Index (TEPIX) as the most significant index of Iran Stock Market. Many data have been used as inputs to the network. These data are observations of 2000 day...
متن کاملMeso-scale Modeling of Tension Analysis of Pure and Intra-ply Hybrid Woven Composites Using Finite Element Method
One of the key issues associated with using of composites in various applications is their tensile behavior. The tensile behavior of a composite material is strongly influenced by the properties of its constituents and their distribution. This paper focuses on gaining some insights into the tensile process of pure and hybrid woven composite reinforced with brittle and ductile yarns. For this pu...
متن کاملAncient Iranian Earthquakes: Chehr-Abad Salt Mine
Modern plate tectonic theory, the development of earthquake prediction and the mitigation of earthquake hazards are based on the study of earthquakes during the twentieth century. Investigation of earthquakes over a much longer period, although in no way invalidating the global importance of plate tectonics, shows that patterns of seismic activity do change with time and that areas of intense s...
متن کاملShort term electric load prediction based on deep neural network and wavelet transform and input selection
Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002