Understanding and predicting vadose zone processes
The vadose zone (often called the unsaturated zone) is commonly defined as the geologic
media spanning from the land surface to the groundwater table of the first unconfined aquifer …
media spanning from the land surface to the groundwater table of the first unconfined aquifer …
Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
Solar energy is an alternative renewable energy resource that has the potential of cleanly
addressing the increasing demand for electricity in the modern era to overcome future …
addressing the increasing demand for electricity in the modern era to overcome future …
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Soil moisture (SM) is an essential component of the environmental and the agricultural
system. Continuous monitoring and forecasting of soil moisture is a desirable strategy to …
system. Continuous monitoring and forecasting of soil moisture is a desirable strategy to …
A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction
Accurate prediction of rainfall is a complex problem because of the large number of
controlling factors, complex interrelationships between them and the multiscaling behaviour …
controlling factors, complex interrelationships between them and the multiscaling behaviour …
On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems
In this paper, we review the role of patterns to improve our understanding of water, mass and
energy exchange processes in soil-vegetationatmosphere systems. We explore the main …
energy exchange processes in soil-vegetationatmosphere systems. We explore the main …
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 …
Multiple‐wavelet coherence of world's large rivers with meteorological factors and ocean signals
Streamflow is controlled by multiple factors concurrently. However, the multivariate
relationship between global streamflow and meteorological factors/ocean signals is rarely …
relationship between global streamflow and meteorological factors/ocean signals is rarely …
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with …
New and improved drought models based on the World Meteorological Organization
approved Standardized Precipitation Index, principally at multiple timescale horizons, are …
approved Standardized Precipitation Index, principally at multiple timescale horizons, are …
Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences
The scale-specific and localized bivariate relationships in geosciences can be revealed
using bivariate wavelet coherence. The objective of this study was to develop a multiple …
using bivariate wavelet coherence. The objective of this study was to develop a multiple …
A double decomposition-based modelling approach to forecast weekly solar radiation
To meet the future energy demand and avert any looming crises, efforts are being carried
out to utilize sustainable and renewable energy resources. In this paper, the naturally …
out to utilize sustainable and renewable energy resources. In this paper, the naturally …