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Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
Deep learning for geophysics: Current and future trends
Recently deep learning (DL), as a new data‐driven technique compared to conventional
approaches, has attracted increasing attention in geophysical community, resulting in many …
approaches, has attracted increasing attention in geophysical community, resulting in many …
Climate change threatens terrestrial water storage over the Tibetan Plateau
Terrestrial water storage (TWS) over the Tibetan Plateau, a major global water tower, is
crucial in determining water transport and availability to a large downstream Asian …
crucial in determining water transport and availability to a large downstream Asian …
Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS)
Climate change may cause severe hydrological droughts, leading to water shortages which
will require to be assessed using high-resolution data. Gravity Recovery and Climate …
will require to be assessed using high-resolution data. Gravity Recovery and Climate …
Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Reducing the heating and cooling load through energy-efficient building design can help
decarbonize the building sector. Heating and cooling load prediction using machine …
decarbonize the building sector. Heating and cooling load prediction using machine …
Constructing high-resolution groundwater drought at spatio-temporal scale using GRACE satellite data based on machine learning in the Indus Basin
The complicated phenomenon induced by inadequate precipitation is a drought that impacts
water resources and human life. Traditional methods to assess groundwater drought events …
water resources and human life. Traditional methods to assess groundwater drought events …
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
The monthly terrestrial water storage anomaly (TWSA) observations during the gap period
between the Gravity Recovery and Climate Experiment (GRACE) satellite and its Follow-On …
between the Gravity Recovery and Climate Experiment (GRACE) satellite and its Follow-On …
Model‐coupled GRACE‐based analysis of hydrological dynamics of drying Lake Urmia and its basin
Lake Urmia basin (LUB), in northwestern Iran, is under the influence of extreme degradation
due to a number of natural and anthropogenic factors. The existence of the Lake is critical for …
due to a number of natural and anthropogenic factors. The existence of the Lake is critical for …
Reconstruction of continuous GRACE/GRACE-FO terrestrial water storage anomalies based on time series decomposition
Since 2002, the terrestrial water storage anomalies (TWSA) derived from the Gravity
Recovery and Climate Experiment (GRACE) and its successor, GRACE Follow-on (GRACE …
Recovery and Climate Experiment (GRACE) and its successor, GRACE Follow-on (GRACE …
Downscaling groundwater storage data in China to a 1-km resolution using machine learning methods
High-resolution and continuous hydrological products have tremendous importance for the
prediction of water-related trends and enhancing the capability for sustainable water …
prediction of water-related trends and enhancing the capability for sustainable water …