Downscaling and projection of spatiotemporal changes in temperature of Bangladesh
The objectives of this study were to:(1) evaluate possible deviations in annual and seasonal
maximum (T mx) and minimum (T mn) temperatures, and,(2) determine the spatial pattern of …
maximum (T mx) and minimum (T mn) temperatures, and,(2) determine the spatial pattern of …
Quantile-based downscaling of rainfall extremes: Notes on methodological functionality, associated uncertainty and application in practice
Local characteristics of extreme rainfall quantiles, manifested through Intensity-Duration-
Frequency (IDF) curves, are key to infrastructure design. Due to climate change, rainfall …
Frequency (IDF) curves, are key to infrastructure design. Due to climate change, rainfall …
Transfer function models for statistical downscaling of monthly precipitation
Three transfer function based statistical downscaling namely, linear regression model (LM),
generalized linear model (GLM), generalized additive model (GAM) have been developed to …
generalized linear model (GLM), generalized additive model (GAM) have been developed to …
Investigation of impact of climate change on small catchments using different climate models and statistical approaches
The use of a statistical downscaling technique is needed to investigate the hydrological
consequences of climate change on the local hydropower capacity. Global Circulation …
consequences of climate change on the local hydropower capacity. Global Circulation …
Distributed Learning and its Application for Time-Series Prediction
NV Nguyen, S Legitime - arxiv preprint arxiv:2106.03211, 2021 - arxiv.org
Extreme events are occurrences whose magnitude and potential cause extensive damage
on people, infrastructure, and the environment. Motivated by the extreme nature of the …
on people, infrastructure, and the environment. Motivated by the extreme nature of the …
Artificial neural networks in downscaling and projections of long term future precipitation and development of future Intensity-Duration-Frequency Curves
SM Kueh - 2016 - figshare.swinburne.edu.au
This research presented a holistic approach for downscaling of precipitation in both space
and time dimensions. Two novel neural network models were developed for spatial …
and time dimensions. Two novel neural network models were developed for spatial …
[การอ้างอิง][C] ArtificialNeural Networks in Downscaling and Projections of Long Term Future Precipitation and Development of Future Intensity-Duration-Frequency …
KS Miang - 2016 - Swinburne University of Technology …