OBJECTIVES There is a growing body of literature on malaria forecasting methods and the objective of our review is to identify and assess methods, including predictors, used to forecast malaria. DESIGN Scoping review. Two independent reviewers searched information sources, assessed studies for inclusion and extracted data from each study. INFORMATION SOURCES Search strategies were developed...

The snow cover in lower mountain areas is often a very dynamic matter. For flood forecast, but also for continuous water balance modelling, a detailed knowledge of the snow cover, its temporal dynamics and current snow properties is essential. According to this, modelling of the snow cover is a constituent part of applied water balance models. To drive and calibrate the models, spatial measurem...

Precise rainfall forecasting is a common challenge across the globe in meteorological predictions. As rainfall forecasting involves rather complex dynamic parameters, an increasing demand for novel approaches to improve the forecasting accuracy has heightened. Recently, Rough Set Theory (RST) has attracted a wide variety of scientific applications and is extensively adopted in decision support ...

Providing generic and cost effective modelling approaches to reconstruct and forecast freshwater temperature using predictors as air temperature and water discharge is a prerequisite to understanding ecological processes underlying the impact of water temperature and of global warming on continental aquatic ecosystems. Using air temperature as a simple linear predictor of water temperature can ...

This thesis introduces novelty detection techniques that use a combination of Gaussian processes, extreme value theory and divergence measurement to identify anomalous behaviour in both streaming and batch marine data. The work is set in context by a review of current methodologies, identifying the limitations of current modelling processes within this domain. Marine data modelling is first imp...

The concept of a forecast horizon has been widely studied in the operations management/research literature in the context of evaluating the impact of future data on current decisions in a multi-period decision making environment. As a solution approach for computing forecast horizons, integer programming has been largely ignored by the research community. However, the modelling and structural a...

The specific objectives of the current effort are: 1. To continue our study of the dynamical processes in tropical cyclones responsible for looping or erratic motion; 2. To continue the development of methods for (a) the introduction of synthetic tropical-cyclone-scale vortices in operational forecast models and (b) ensemble forecasting of tropical cyclones; 3. To continue a sensitivity study o...

This paper presents the Croatian context-dependent acoustic modelling used in speech recognition and in speech synthesis. The proposed acoustic model is based on context-dependent triphone hidden Markov models and Croatian phonetic rules. For speech recognition and speech synthesis system modelling and testing the Croatian speech corpus VEPRAD was used. The experiments have shown that Croatian ...

An attempt has been made to study the impact of surface meteorological observations on the Regional Atmospheric Modelling System (RAMS) simulation of a monsoon depression and two low pressure systems. The surface observations are blended with the GEWEX Asian Monsoon Experiment (GAME) gridded analyses for these cases. In one set of experiments the model is run in 12 hour nudging mode initially a...

Background_______________________________ 1 Previous approaches________________________ 2 Beginnings of a new approach to robust forecasting ________________________ 2 Dual-faceted predictive process for informing strategic planning_____________ 2 Environmental analysis ______________________ 3 Alignment with the strategic planning cycle___________________ 3 Environmental analysis framework____...