The role of satellite remote sensing in climate change studies
Satellite remote sensing has provided major advances in understanding the climate system
and its changes, by quantifying processes and spatio-temporal states of the atmosphere …
and its changes, by quantifying processes and spatio-temporal states of the atmosphere …
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting
Streamflow forecasting plays a key role in improvement of water resource allocation,
management and planning, flood warning and forecasting, and mitigation of flood damages …
management and planning, flood warning and forecasting, and mitigation of flood damages …
Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile
M Zambrano-Bigiarini, A Nauditt… - Hydrology and Earth …, 2017 - hess.copernicus.org
Accurate representation of the real spatio-temporal variability of catchment rainfall inputs is
currently severely limited. Moreover, spatially interpolated catchment precipitation is subject …
currently severely limited. Moreover, spatially interpolated catchment precipitation is subject …
A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China
To improve the accuracy of quantitative precipitation estimation (QPE), numerous models
have been developed for merging satellite and gauge precipitation. However, most …
have been developed for merging satellite and gauge precipitation. However, most …
Geographically weighted regression based methods for merging satellite and gauge precipitation
Real-time precipitation data with high spatiotemporal resolutions are crucial for accurate
hydrological forecasting. To improve the spatial resolution and quality of satellite …
hydrological forecasting. To improve the spatial resolution and quality of satellite …
Evaluation of 23 gridded precipitation datasets across West Africa
This study aims reporting on 23 gridded precipitation datasets (P-datasets) reliability across
West Africa through direct comparisons with rain gauges measurement at the daily and …
West Africa through direct comparisons with rain gauges measurement at the daily and …
Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau
K Tong, F Su, D Yang, Z Hao - Journal of hydrology, 2014 - Elsevier
In this study, we evaluate four widely used global high-resolution satellite precipitation
products against gauge observations over the Tibetan Plateau (TP). We also investigate the …
products against gauge observations over the Tibetan Plateau (TP). We also investigate the …
[HTML][HTML] Evaluation of multiple satellite-based precipitation products over complex topography
This study evaluates the performance of four satellite-based precipitation (SBP) products
over the western Black Sea region of Turkey, a region characterized by complex topography …
over the western Black Sea region of Turkey, a region characterized by complex topography …
[HTML][HTML] Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy
C Chen, B Hu, Y Li - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
Inter-comparison of high-resolution satellite precipitation products over Central Asia
This paper examines the spatial error structures of eight precipitation estimates derived from
four different satellite retrieval algorithms including TRMM Multi-satellite Precipitation …
four different satellite retrieval algorithms including TRMM Multi-satellite Precipitation …