Search
Search Results
-
Semiannual and annual variations in the height of the ionospheric F2-peak
Ionosonde data from sixteen stations are used to study the semiannual and annual variations in the height of the ionospheric F2-peak, h mF2. The...
-
Streamflow Data Infilling Techniques Based on Concepts of Groups and Neural Networks
For planning, management, and effective control of water resource systems, a considerable amount of data on numerous hydrologic variables such as...
-
Stochastic Modeling of the Van Lake Monthly Level Fluctuations in Turkey
Planning, design, construction and operation of lakeshore structures require information about the future likely extremes of the lake levels at a...
-
Application of Artificial Neural Networks to Forecasting of Surface Water Quality Variables: Issues, Applications and Challenges
Amidst growing concerns for the state of the world’s surface water resources, water quality modeling is assuming increasing importance. Thomann...
-
Vertical circulation and thermospheric composition: a modelling study
The coupled thermosphere-ionosphere-plasmasphere model CTIP is used to study the global three-dimensional circulation and its effect on neutral...
-
Cluster regression model and level fluctuation features of Van Lake, Turkey
Lake water levels change under the influences of natural and/or anthropogenic environmental conditions. Among these influences are the climate...
-
Multivariate Time Series Modeling
Time series models have been applied to many environmental and geohydrological problems. In many instances, such models may be required to provide...
-
-
-
-
Stochastic modelling of the Caspian Sea level fluctuations
Fluctuations of the Caspian Sea level have been treated as a stochastic process influenced by rainfall and ambient temperature. A dynamic relation in...
-
Prediction of all India summer monsoon rainfall using error-back-propagation neural networks
In this paper, multilayered feedforward neural networks trained with the error-back-propagation (EBP) algorithm have been employed for predicting the...
-
Prediction in hydrogeology: two case histories
An inherent aspect of hydrogeology is the dynamic character of groundwater flow within the more passive lithospheric medium. Prediction therefore...
-
Multiplicative seasonal Arima model for longterm forecasting of inflows
This paper deals with stochastic modelling of monthly inflows into a reservoir system in the monsoon climatic coditions using a multiplicative...
-
Stochastic Models toRepresent the Temporal Variability of Global Average Radiation Budget, Cloudiness and Temperature
Seasonal autoregression and integrated moving average models are employed to represent the contemporary variability of several meteorological time...
-
A comparison of state space and multiple regression for monthly forecasts: U.S. Fuel consumption
Monthly consumption forecasts for U.S. oil, natural gas, and coal are made using state space and multiple regression applied to the same data. These...
-
Adaptivity in Stochastic Modelling and Forecasting
Time varying coefficient ARMA and ARMA-transfer function (ARMA-TF) models for improving forecasting of water quality and runoff are presented and...
-
Frequency Analysis of an Annually Resolved, 700 Year Paleoclimate Record from the GISP2 Ice Core
One of the key questions in using paleoenvironmental records from ice cores for the last 2,000 years is how representative individual ice cores are...
-
-
Climate variability and change within the discharge time series: a statistical approach
The paper contains some results of long-time series analysis of discharges with respect to climate variability and change. The appropriate...