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A decade of Predictions in Ungauged Basins (PUB)—a review
Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …
A review of downscaling methods of satellite-based precipitation estimates
Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …
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 …
Climate change impacts on the upper Indus hydrology: sources, shifts and extremes
The Indus basin heavily depends on its upstream mountainous part for the downstream
supply of water while downstream demands are high. Since downstream demands will likely …
supply of water while downstream demands are high. Since downstream demands will likely …
[HTML][HTML] Improving the resolution of GRACE data for spatio-temporal groundwater storage assessment
Groundwater has a significant contribution to water storage and is considered to be one of
the sources for agricultural irrigation; industrial; and domestic water use. The Gravity …
the sources for agricultural irrigation; industrial; and domestic water use. The Gravity …
[HTML][HTML] Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards
It is important to develop the integrated flood and landslide modeling system driven by radar
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …
Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
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 …
First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling–calibration procedure
Accurate precipitation data at high spatial and temporal resolution is deemed necessary for
many hydrological and water management applications, and especially in data scarce river …
many hydrological and water management applications, and especially in data scarce river …
Improving daily spatial precipitation estimates by merging gauge observation with multiple satellite-based precipitation products based on the geographically …
S Chen, L **ong, Q Ma, JS Kim, J Chen, CY Xu - Journal of Hydrology, 2020 - Elsevier
Merging gauge observation with a single original satellite-based precipitation product (SPP)
is a common approach to generate spatial precipitation estimates. For the generation of high …
is a common approach to generate spatial precipitation estimates. For the generation of high …