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[HTML][HTML] A critical review of RNN and LSTM variants in hydrological time series predictions
The rapid advancement in Artificial Intelligence (AI) and big data has developed significance
in the water sector, particularly in hydrological time-series predictions. Recurrent Neural …
in the water sector, particularly in hydrological time-series predictions. Recurrent Neural …
[HTML][HTML] A comprehensive review of the impacts of climate change on agriculture in Thailand
The agricultural sector is vulnerable to climate change (CC). Various climate-related
extremes, such as droughts, heat waves, unpredictable rainfall patterns, storms, floods, and …
extremes, such as droughts, heat waves, unpredictable rainfall patterns, storms, floods, and …
[HTML][HTML] Advancements in daily precipitation forecasting: a deep dive into daily precipitation forecasting hybrid methods in the tropical climate of Thailand
Climate change and increasing water demands underscore the importance of water
resource management. Precise precipitation forecasting is critical to effective management …
resource management. Precise precipitation forecasting is critical to effective management …
[HTML][HTML] Determination of crop water requirements and potential evapotranspiration for sustainable coffee farming in response to future climate change scenarios
Climate change (CC) is causing a significant threat to agriculture, a sector complicatedly tied
to natural resources. Changes in precipitation patterns, atmospheric water content, and …
to natural resources. Changes in precipitation patterns, atmospheric water content, and …
[HTML][HTML] Time series trend analysis and forecasting of climate variability using deep learning in Thailand
Climate variability, trend analysis, and accurate forecasting are vital in a country's effective
water resource management and strategic planning. Precipitation and temperature are …
water resource management and strategic planning. Precipitation and temperature are …
[HTML][HTML] Assessment of CMIP6 GCMs for selecting a suitable climate model for precipitation projections in Southern Thailand
Abstract The selection of General Circulation Models (GCMs) is critical due to computational
limitations and underlying uncertainties. This study provides a comprehensive assessment …
limitations and underlying uncertainties. This study provides a comprehensive assessment …
[HTML][HTML] Incorporating novel input variable selection method for in the different water basins of Thailand
Selecting appropriate input variables for develo** a rainfall prediction model is
significantly difficult. The present study proposed an innovative framework for input variable …
significantly difficult. The present study proposed an innovative framework for input variable …
[HTML][HTML] Artificial Intelligence and Numerical Weather Prediction Models: A Technical Survey
Can artificial intelligence (AI) models beat traditional numerical weather prediction (NWP)
models based on physical principles? The rapid advancement of AI, inherent computational …
models based on physical principles? The rapid advancement of AI, inherent computational …
Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso
This study compares the performance of satellite precipitation products (SPPs) and soil
moisture-based rainfall products (SM2RPPs) in capturing rainfall patterns in Burkina Faso …
moisture-based rainfall products (SM2RPPs) in capturing rainfall patterns in Burkina Faso …
[HTML][HTML] Hydrological model parameter regionalization: Runoff estimation using machine learning techniques in the Tha Chin River Basin, Thailand
Understanding hydrological processes necessitates the use of modeling techniques due to
the intricate interactions among environmental factors. Estimating model parameters …
the intricate interactions among environmental factors. Estimating model parameters …