Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in …
Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
Big data analytics and its role to support groundwater management in the southern African development community
Big data analytics (BDA) is a novel concept focusing on leveraging large volumes of
heterogeneous data through advanced analytics to drive information discovery. This paper …
heterogeneous data through advanced analytics to drive information discovery. This paper …
Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh
A model output statistics (MOS) downscaling approach based on support vector machine
(SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall …
(SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall …
Quantile-based Bayesian Model Averaging approach towards merging of precipitation products
Precipitation is a fundamental input for many hydrological and water management studies.
Nowadays, a number of satellite precipitation products are easily accessible online at free of …
Nowadays, a number of satellite precipitation products are easily accessible online at free of …
Enhancing precipitation estimates through the fusion of weather radar, satellite retrievals, and surface parameters
Accurate and timely monitoring of precipitation remains a challenge, particularly in hyper-
arid regions such as the United Arab Emirates (UAE). The aim of this study is to improve the …
arid regions such as the United Arab Emirates (UAE). The aim of this study is to improve the …
Projecting spatiotemporal changes of precipitation and temperature in Iraq for different shared socioeconomic pathways with selected Coupled Model Intercomparison …
Changes in precipitation and temperature have crucial implications in the arid region due to
their fragile environment. This study was an attempt to estimate possible spatiotemporal …
their fragile environment. This study was an attempt to estimate possible spatiotemporal …
Modeling climate change impacts on precipitation in arid regions of Pakistan: a non-local model output statistics downscaling approach
The uncertainties in climate projections in arid regions are quite high due to the large
variability of climate and the lack of high-quality climate observations. In this study, an …
variability of climate and the lack of high-quality climate observations. In this study, an …
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches
E Jang, YJ Kim, J Im, YG Park - GIScience & Remote Sensing, 2021 - Taylor & Francis
Sea salinity is one of the indicators of the global water cycle and affects the surface and
deep circulation of the ocean. While passive microwave satellite sensors have been used to …
deep circulation of the ocean. While passive microwave satellite sensors have been used to …
A support vector machine-based method for improving real-time hourly precipitation forecast in Japan
Real-time precipitation forecast facilitates water management and water-associated disaster
early warning. However, numerical weather prediction (NWP) models provide precipitation …
early warning. However, numerical weather prediction (NWP) models provide precipitation …
Modeling the impact of climate and land use/land cover change on water availability in an inland valley catchment in Burkina Faso
M Idrissou, B Diekkrüger, B Tischbein, F Op de Hipt… - Hydrology, 2022 - mdpi.com
Water scarcity for smallholder farming in West Africa has led to the shift of cultivation from
uplands to inland valleys. This study investigates the impacts of climate and land use/land …
uplands to inland valleys. This study investigates the impacts of climate and land use/land …