This report is an accompanying material of the paper “A stochastic methodology for generation of seasonal time series reproducing over year scaling”. Particularly, the mathematical derivations for the two stochastic hydrological models developed (i.e. MPAR-SMAF and Split model) are presented in detail in this paper. In section A, a property o
Global models of water and carbon cycles in continental vegetation and soils are usually forced with...
This study aims at probabilistic and stochastic seasonal characteristics of time seriesof runoff in ...
This paper provides a historical review and critique of stochastic generating models for hydrologica...
A stochastic model is developed for the synthesis of daily precipitation using conditioning by wea...
"The statistical and phenomenological aspects of the runoff process observed on different scales of ...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
Abstract. A methodology is proposed for coupling stochastic models of hydrologic processes applying ...
A first-order Markov model is used for simulating annual data and a simple disaggregation model, the...
The aim of this paper is to develop a model-based seasonal adjustment method which will yield the sa...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
The intention of this paper is to define and estimate several classes of models of seasonal behavior...
Abstract: This article reviews the historical development of statistical weather models, from simple...
This paper examines the success of various Markov-chain models of daily precipitation series in repr...
Stochastic daily weather time-series models ("weather generators") are parameterized consi...
A transformation is suggested which can transform a non-Gaussian monthly hydrological time series in...
Global models of water and carbon cycles in continental vegetation and soils are usually forced with...
This study aims at probabilistic and stochastic seasonal characteristics of time seriesof runoff in ...
This paper provides a historical review and critique of stochastic generating models for hydrologica...
A stochastic model is developed for the synthesis of daily precipitation using conditioning by wea...
"The statistical and phenomenological aspects of the runoff process observed on different scales of ...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
Abstract. A methodology is proposed for coupling stochastic models of hydrologic processes applying ...
A first-order Markov model is used for simulating annual data and a simple disaggregation model, the...
The aim of this paper is to develop a model-based seasonal adjustment method which will yield the sa...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
The intention of this paper is to define and estimate several classes of models of seasonal behavior...
Abstract: This article reviews the historical development of statistical weather models, from simple...
This paper examines the success of various Markov-chain models of daily precipitation series in repr...
Stochastic daily weather time-series models ("weather generators") are parameterized consi...
A transformation is suggested which can transform a non-Gaussian monthly hydrological time series in...
Global models of water and carbon cycles in continental vegetation and soils are usually forced with...
This study aims at probabilistic and stochastic seasonal characteristics of time seriesof runoff in ...
This paper provides a historical review and critique of stochastic generating models for hydrologica...