On the Spatial Scale Dependence of Long‐Term Persistence in Global Annual Precipitation Data and the Hurst Phenomenon
E O'Connell, G O'Donnell… - Water Resources …, 2023 - Wiley Online Library
Precipitation deficits are the main physical drivers of droughts across the globe, and their
level of persistence can be characterized by the Hurst coefficient H (0.5< H< 1), with high H …
level of persistence can be characterized by the Hurst coefficient H (0.5< H< 1), with high H …
Multifractal detrended fluctuation analysis of rainfall time series in the Guadeloupe archipelago
J Gómez-Gómez, T Plocoste, E Alexis… - Journal of …, 2023 - Elsevier
Due to the vulnerability of the Caribbean islands to the climate change issue, it is important
to investigate the behavior of rainfall. In addition, the soil of the French West Indies Islands …
to investigate the behavior of rainfall. In addition, the soil of the French West Indies Islands …
FEDAF: frequency enhanced decomposed attention free transformer for long time series forecasting
X Yang, H Li, X Huang, X Feng - Neural Computing and Applications, 2024 - Springer
Long time series forecasting (LTSF), which involves modeling relationships within long time
series to predict future values, has extensive applications in domains such as weather …
series to predict future values, has extensive applications in domains such as weather …
A hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan
MGS Kenyi, K Yamamoto - Discover Applied Sciences, 2024 - Springer
Accurate river streamflow forecasting is pivotal for effective water resource planning,
infrastructure design, utilization, optimization, and flood planning and warning. Streamflow …
infrastructure design, utilization, optimization, and flood planning and warning. Streamflow …