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[HTML][HTML] Improving global soil moisture prediction through cluster-averaged sampling strategy
Q Li, Q **ao, C Zhang, J Zhu, X Chen, Y Yan, P Liu… - Geoderma, 2024 - Elsevier
Understanding and predicting global soil moisture (SM) is crucial for water resource
management and agricultural production. While deep learning methods (DL) have shown …
management and agricultural production. While deep learning methods (DL) have shown …
Enforcing water balance in multitask deep learning models for hydrological forecasting
Accurate prediction of hydrological variables (HVs) is critical for understanding hydrological
processes. Deep learning (DL) models have shown excellent forecasting abilities for …
processes. Deep learning (DL) models have shown excellent forecasting abilities for …
[HTML][HTML] Enhancing hydrological variable prediction through multitask LSTM models
Y Yan, G Li, Q Li, J Zhu - Water, 2024 - mdpi.com
Deep learning models possess the capacity to accurately forecast various hydrological
variables, encompassing flow, temperature, and runoff, notably leveraging Long Short-Term …
variables, encompassing flow, temperature, and runoff, notably leveraging Long Short-Term …
Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran
Water quality management is a critical aspect of environmental sustainability, particularly in
arid and semi-arid regions such as Iran where water scarcity is compounded by quality …
arid and semi-arid regions such as Iran where water scarcity is compounded by quality …
Hydroformer: Frequency domain enhanced multi‐attention transformer for monthly lake level reconstruction with low data input requirements
M Hou, J Wei, Y Shi, S Hou, W Zhang… - Water Resources …, 2024 - Wiley Online Library
Lake level changes are critical indicators of hydrological balance and climate change, yet
long‐term monthly lake level reconstruction is challenging with incomplete or short‐term …
long‐term monthly lake level reconstruction is challenging with incomplete or short‐term …
[HTML][HTML] Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning
SA Sahaar, JD Niemann - Remote Sensing, 2024 - mdpi.com
This study explores machine learning for estimating soil moisture at multiple depths (0–5 cm,
0–10 cm, 0–20 cm, 0–50 cm, and 0–100 cm) across the coterminous United States. A …
0–10 cm, 0–20 cm, 0–50 cm, and 0–100 cm) across the coterminous United States. A …
A comparative study for predicting lake evaporation at chah nimeh reservoirs in Iran: employing the ADiPLS-LSTM model with an attention mechanism
The process of evaporation is crucial in facilitating the exchange of moisture between the
earth and the air. The understanding of the evaporation trend plays a pivotal role in …
earth and the air. The understanding of the evaporation trend plays a pivotal role in …