[HTML][HTML] A review of globally available data sources for modelling the Water-Energy-Food Nexus
Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …
approach to manage resources more holistically. Data availability, however, is a crucial …
Evaluating the effectiveness of CHIRPS data for hydroclimatic studies
Long-term gridded precipitation products (GPPs) are crucial for climatology and hydrological
research to overcome the limitations of gauge observations. Climate Hazards Group …
research to overcome the limitations of gauge observations. Climate Hazards Group …
Quantifying the trends and variations in the frost-free period and the number of frost days across China under climate change using ERA5-land reanalysis dataset
H Li, G Liu, C Han, Y Yang, R Chen - Remote Sensing, 2022 - mdpi.com
Understanding the spatio-temporal variations in the frost-free period (FFP) and the number
of frost days (FD) is beneficial to reduce the harmful effects of climate change on agricultural …
of frost days (FD) is beneficial to reduce the harmful effects of climate change on agricultural …
Evaluation and uncertainty assessment of weather data and model calibration on daily streamflow simulation in a large-scale regulated and snow-dominated river …
The choice of proper input data and suitable calibration schemes is challenging in the
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …
Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data
Reliable long-term precipitation estimation data holds immense hydrometeorological value
due to its extensive spatial coverage and extended temporal records. Its availability is …
due to its extensive spatial coverage and extended temporal records. Its availability is …
Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins
M Dal Molin, D Kavetski, C Albert… - Water Resources …, 2023 - Wiley Online Library
Calibration of precipitation‐streamflow models to streamflow signatures is a promising
approach for streamflow prediction in ungauged basins (PUB). The estimation of parameter …
approach for streamflow prediction in ungauged basins (PUB). The estimation of parameter …
Adequacy of satellite derived data for streamflow simulation in three Hexi inland river basins, Northwest China
C Wang, J Si, C Zhao, B Jia, S Celestin, D Li, X He… - Atmospheric …, 2022 - Elsevier
The limited gauge measurements usually constrain the accurate hydrological modeling of
runoff, especially in the ungauged or gauge-sparsely areas with complex terrain conditions …
runoff, especially in the ungauged or gauge-sparsely areas with complex terrain conditions …
Assessing typhoon-induced compound flood drivers: a case study in Ho Chi Minh City, Vietnam
F Rodrigues do Amaral, N Gratiot… - Natural hazards and …, 2023 - nhess.copernicus.org
We investigate the most severe rainfall event ever experienced in Ho Chi Minh City (HCMC),
Vietnam. It occurred on 25 November 2018 when Typhoon (TY) Usagi directly hit HCMC …
Vietnam. It occurred on 25 November 2018 when Typhoon (TY) Usagi directly hit HCMC …
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
In northern cold-temperate countries, a large portion of annual streamflow is produced by
spring snowmelt, which often triggers floods. It is important to have spatial information about …
spring snowmelt, which often triggers floods. It is important to have spatial information about …
Evaluation of TIGGE precipitation forecast and its applicability in streamflow predictions over a Mountain River Basin, China
Y Xiang, T Peng, Q Gao, T Shen, H Qi - Water, 2022 - mdpi.com
The number of numerical weather prediction (NWP) models is on the rise, and they are
commonly used for ensemble precipitation forecast (EPF) and ensemble streamflow …
commonly used for ensemble precipitation forecast (EPF) and ensemble streamflow …