[HTML][HTML] Persistence in complex systems
Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …
long the system remains at a certain state before changing to a different one. The study of …
Stochastic weather generators: an overview of weather type models
A recurrent issue encountered in environmental, ecological or agricultural impact studies in
which climate is an important driving force is to provide fast and realistic simulations of …
which climate is an important driving force is to provide fast and realistic simulations of …
Contribution of agrometeorology to the simulation of crop production and its applications
G Hoogenboom - Agricultural and forest meteorology, 2000 - Elsevier
Weather has a significant impact on crop growth and development. This paper presents an
overview of crop modeling and applications of crop models, and the significance of weather …
overview of crop modeling and applications of crop models, and the significance of weather …
Dry spell analysis and maize yields for two semi-arid locations in east Africa
High variability in rainfall occurrence and amounts together with high evaporative demand
create severe constraints for crop growth and yields in dry sub-humid and semi-arid farming …
create severe constraints for crop growth and yields in dry sub-humid and semi-arid farming …
Performance of rainwater harvesting systems under scenarios of non-potable water demand and roof area typologies using a stochastic approach
VAR Lopes, GF Marques, F Dornelles… - Journal of cleaner …, 2017 - Elsevier
Urban water systems throughout the world are under recurring and increasing water
scarcity, given demand growth, aging infrastructure, variability and uncertainty imposed by …
scarcity, given demand growth, aging infrastructure, variability and uncertainty imposed by …
Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal
MF Müller, SE Thompson - Advances in Water Resources, 2013 - Elsevier
Estimating precipitation over large spatial areas remains a challenging problem for
hydrologists. Sparse ground-based gauge networks do not provide a robust basis for …
hydrologists. Sparse ground-based gauge networks do not provide a robust basis for …
Stochastic rainfall modeling in West Africa: Parsimonious approaches for domestic rainwater harvesting assessment
JR Cowden, DW Watkins Jr, JR Mihelcic - Journal of hydrology, 2008 - Elsevier
Several parsimonious stochastic rainfall models are developed and compared for
application to domestic rainwater harvesting (DRWH) assessment in West Africa. Worldwide …
application to domestic rainwater harvesting (DRWH) assessment in West Africa. Worldwide …
Using daily data from seasonal forecasts in dynamic crop models for yield prediction: A case study for rice in Nepal's Terai
Skillful seasonal climate predictions paired with a dynamic crop model can assist
agricultural management and help farmers minimize risk. For crop yield predictions, the skill …
agricultural management and help farmers minimize risk. For crop yield predictions, the skill …
A Markov chain simulation model for predicting critical wet and dry spells in Kenya: analysing rainfall events in the Kano Plains
WO Ochola, P Kerkides - … and Drainage: The journal of the …, 2003 - Wiley Online Library
The occurrence of wet and dry spells is a phenomenon most often used to identify the arid
and semi‐arid lands (ASAL) in Kenya. The use of first‐order Markov processes that are …
and semi‐arid lands (ASAL) in Kenya. The use of first‐order Markov processes that are …
Modelling precipitation in Sweden using multiple step Markov chains and a composite model
J Lennartsson, A Baxevani, D Chen - Journal of hydrology, 2008 - Elsevier
In this paper, we propose a new method for modelling precipitation in Sweden. We consider
a chain dependent stochastic model that consists of a component that models the probability …
a chain dependent stochastic model that consists of a component that models the probability …