A5022027770- Meteorological Phenomena and Simulations
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Energy Load and Power Forecasting
- Evolutionary Algorithms and Applications
- Grey System Theory Applications
- Greenhouse Technology and Climate Control
- Solar Radiation and Photovoltaics
- Landslides and related hazards
- Fire dynamics and safety research
- Precipitation Measurement and Analysis
- Heat Transfer and Optimization
- Combustion and flame dynamics
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
University of Calgary
2017-2020
University of Hohenheim
2015
University of British Columbia
2009-2012
Quantitative precipitation estimation and forecasting (QPE QPF) are among the most challenging tasks in atmospheric sciences. In this work, QPE based on numerical modelling data assimilation is investigated. Key components Weather Research Forecasting (WRF) model combination with its 3D variational scheme, applied convection-permitting scale sophisticated physics over central Europe. The system operated a 1-hour rapid update cycle processes large set of situ observations, from French radar...
Abstract A method called gene-expression programming (GEP), which uses symbolic regression to form a nonlinear combination of ensemble NWP forecasts, is introduced. From population competing and evolving algorithms (each can create different members), GEP computational natural selection find the algorithm that maximizes weather verification fitness function. The resulting best yields deterministic forecast (DEF) could serve as an alternative traditional average. Motivated by difficulty in...
Abstract Two noniterative approximations are presented for saturated pseudoadiabats (also known as moist adiabats). One approximation determines which adiabat passes through a point of pressure and temperature, such the lifting condensation level on skew T or tephigram. The other air temperature at any along adiabat, final rising cloudy parcel. method used to create these statistical regressions is relatively new variant genetic programming called gene-expression programming. correlation...
Seven years of hourly temperature and electric load data for British Columbia in western Canada were used to compare two statistical methods, artificial neural networks (ANN) gene expression programming (GEP), produce hour-ahead forecasts. Two linear control methods (persistence multiple regression) verification purposes. A two-stage (predictor-corrector) approach was used. The first stage a single regression model that applied weather calendar the previous hour predict any day, second...
Modifications to the environment around a weather station or changes in instrument result discontinuities shift data. This paper asks often ignored questions such as, "what are impacts of inhomogenized data?" and "does using homogenized data affect conclusions environmental research?" To answer these questions, we used Canadian Forest Fire Weather Index (CFFWI) System for our studies. calculate wildfire danger indices. The raw (inhomogenized) observations sixteen stations spread across...
The accurate prediction of wildfire behavior and spread is possible only when fire atmosphere simulations are coupled. In this work, we present a mechanism that causes small to intensify by altering the atmosphere. These alterations caused fire-related fluxes at surface. plume increase convective available potential energy (CAPE) chance development strong pyroconvection system. To study mechanism, used WRF-Fire capture line propagation as result interactions between heat moisture fluxes,...
The observed basic weather variables are the main representative of climate trends and atmosphere. unresolved meteorological scale in observation such as micro scale, can produce a noticeable bias amplitude, frequency, phase trend each variable time series. due to small eddy be high amplitude which could greater than 1°C temperature trend. Such biased measurements state atmosphere limit all related studies.