A Numerical Weather Model’s Ability to Predict Characteristics of Aircraft Icing Environments

Weather Features Associated with Aircraft Icing Conditions: A Case Study

In the context of aviation weather hazards, the study of aircraft icing is very important because of several accidents attributed to it over recent decades. On February 1, 2012, an unusual meteorological situation caused severe icing of a C-212-200, an aircraft used during winter 2011-2012 to study winter cloud systems in the Guadarrama Mountains of the central Iberian Peninsula. Observations i...

Numerical Weather Prediction Models

JMA operates NWP models to meet various kinds of requirements on weather forecasting. The suite of the NWP models covers a wide temporal range of forecast periods from a few hours to two seasons providing a seamless sequence of products for the public. The Global Spectral Model (GSM) produces 84-hour forecast four times a day (00, 06, 12, 18 UTC) to support the official short-range forecasting ...

Parameter Identification for Inflightdetection of Aircraft Icing ?

Extension to the Messinger Model for Aircraft Icing

A one-dimensionalmathematical model is developed describing ice growth due to supercooled  uid impacting on a solid substrate. When rime ice forms, the ice thickness is determined by a simple mass balance. The leadingorder temperature proŽ le through the ice is then obtained as a function of time, the ambient conditions, and the ice thickness. When glaze ice forms, the energy equation and mass...

Hybrid Models Performance Assessment to Predict Flow of Gamasyab River

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...