Status and prospects for drought forecasting: Opportunities in artificial intelligence and hybrid physical–statistical forecasting
A AghaKouchak, B Pan… - … of the Royal …, 2022 - royalsocietypublishing.org
Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …
remotely sensed observations, drought prediction remains a major challenge. After a review …
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Long-term forecasting of any hydrologic phenomena is essential for strategic environmental
planning, hydrologic and other forms of structural design, agriculture, and water resources …
planning, hydrologic and other forms of structural design, agriculture, and water resources …
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
Drought forecasting using standardized metrics of rainfall is a core task in hydrology and
water resources management. Standardized Precipitation Index (SPI) is a rainfall-based …
water resources management. Standardized Precipitation Index (SPI) is a rainfall-based …
Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes
In this study, the application of Artificial Neural Networks (ANN) and Multiple regression
analysis (MR) to forecast long-term seasonal spring rainfall in Victoria, Australia was …
analysis (MR) to forecast long-term seasonal spring rainfall in Victoria, Australia was …
Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks
J Abbot, J Marohasy - Atmospheric Research, 2014 - Elsevier
There have been many theoretical studies of the nature of concurrent relationships between
climate indices and rainfall for Queensland, but relatively few of these studies have …
climate indices and rainfall for Queensland, but relatively few of these studies have …
New double decomposition deep learning methods for river water level forecasting
Forecasting river water levels or streamflow water levels (SWL) is vital to optimising the
practical and sustainable use of available water resources. We propose a new deep …
practical and sustainable use of available water resources. We propose a new deep …
Deep learning forecasts of soil moisture: convolutional neural network and gated recurrent unit models coupled with satellite-derived MODIS, observations and …
Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the
future state of the underlying soils plays a critical role in planning and managing water …
future state of the underlying soils plays a critical role in planning and managing water …
Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals
Accurate seasonal rainfall forecasting is an important step in the development of reliable
runoff forecast models. The large scale climate modes affecting rainfall in Australia have …
runoff forecast models. The large scale climate modes affecting rainfall in Australia have …
[PDF][PDF] How well do the ERA‐Interim, ERA‐5, GLDAS‐2.1 and NCEP‐R2 reanalysis datasets represent daily air temperature over the Tibetan Plateau?
L Liu, H Gu, J Xie, YP Xu - International Journal of Climatology, 2021 - researchgate.net
Snow and glacier are important components in the hydrological cycle of the Tibetan Plateau
(TP). Air temperature, as the main driver in freezing and thawing processes, becomes vital …
(TP). Air temperature, as the main driver in freezing and thawing processes, becomes vital …
An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm
The commencement of SEAS5 model for operational seasonal climate forecasting by the
European Centre for Medium-Range Weather Forecasts (ECMWF) is a new development. It …
European Centre for Medium-Range Weather Forecasts (ECMWF) is a new development. It …