An assessment of the effectiveness of weather information dissemination among farmers and policy makers

J Sansa-Otim, M Nsabagwa, A Mwesigwa, B Faith… - Sustainability, 2022 - mdpi.com
The changing environment, climate, and the increasing manifestation of disasters, has
generated an increased demand for accurate and timely weather information. This …

Seasonal warranty prediction based on recurrent event data

Q Shan, Y Hong, WQ Meeker - The Annals of Applied Statistics, 2020 - JSTOR
Warranty return data from repairable systems, such as home appliances, lawn mowers,
computers and automobiles, result in recurrent event data. The nonhomogeneous Poisson …

Probability distributions of COVID-19 tweet posted trends uses a nonhomogeneous Poisson process

D Munandar, S Supian… - International Journal of …, 2020 - journal.rescollacomm.com
The influence of social media in disseminating information, especially during the COVID-19
pandemic, can be observed with time interval, so that the probability of number of tweets …

Modelling long-term monthly rainfall variability in selected provinces of South Africa: Trend and extreme value analysis approaches

VN Masingi, D Maposa - Hydrology, 2021 - mdpi.com
Extreme rainfall events have made significant damages to properties, public infrastructure
and agriculture in some provinces of South Africa notably in KwaZulu-Natal and Gauteng …

[PDF][PDF] A comparative analysis of the performance of COSMO and WRF models in quantitative rainfall prediction

I Mugume, C Basalirwa, D Waiswa… - International Journal of …, 2018 - academia.edu
The Numerical weather prediction (NWP) models are considered powerful tools for guiding
quantitative rainfall prediction. A couple of NWP models exist and are used at many …

[HTML][HTML] Analysis of extreme rainfall event with different microphysics and parameterization schemes in WRF model

HS Lekhadiya, RK Jana - Positioning, 2018 - scirp.org
In the present study, the imitation of heavy rainfall event which occurred over Jharkhand
during 18 August 2016 was taken as a case study. Weather Research and Forecasting …

Improving quantitative rainfall prediction using ensemble analogues in the tropics: case study of Uganda

I Mugume, MS Mesquita, Y Bamutaze, D Ntwali… - Atmosphere, 2018 - mdpi.com
Accurate and timely rainfall prediction enhances productivity and can aid proper planning in
sectors such as agriculture, health, transport and water resources. However quantitative …

Estimation of Economic Impacts of Climate-Driven Hazards Using Stochastic Process Model

R Bhadra, M Pandey - ASCE-ASME Journal of Risk and Uncertainty …, 2024 - ascelibrary.org
Projections using global climate models indicate that climate change will influence the
patterns of natural hazards, such as thunderstorms, atmospheric river landfalls, extreme …

Stochastic risk estimation due to non-stationary hazards using compound-NHPP

R Bhadra - Stochastic Environmental Research and Risk …, 2024 - Springer
The frequency and the magnitude of the environmental hazards are going to be impacted by
the changing climate. The non-stationary hazards can be effectively modelled using a Non …

Statistical modelling of electric vehicle charging behaviours

Y Amara-Ouali - 2022 - theses.hal.science
The development of electric vehicles (EV) is a major lever towards low-carbon transport. It
comes with a growing number of charging infrastructures that can be used as flexible assets …