TL;DR
Results indicate that sequential nonlinear correction plus gauge-residual kriging improves retrospective IMERG reconstruction and outlet flood simulation in this basin, while real-time operation, cross-basin transfer and future-climate robustness require separate testing.
Satellite precipitation products like GPM IMERG are crucial for hydrological modeling and disaster prevention; yet, their reliability in complex mountainous monsoon regions remains challenging. While the latest IMERG V07 introduces key upgrades, including a Climatological Calibration Algorithm (CCA), its cross-scale er...
While groundwater is the second largest freshwater reservoir on Earth, it remains difficult to monitor, relying mainly on sparse and often unavailable well measurements. The GRACE/GRACE–FO missions enabled the estimation of regional terrestrial water storage changes, although their coarse spatial resolution remains a m...
An unsupervised deep-learning framework based on convolutional neural networks is investigated to enhance the spatial resolution of TWSA products across simulated and real mission scenarios, and shows that the downscaled products preserve consistency with native gravimetric observations while recovering finer-scale spa...
GRACE and GRACE-FO satellite gravimetry provide unique observations of terrestrial water storage (TWS), but their coarse effective resolution and intermittent temporal gaps limit water-resource applications at subregional and basin scales. This study presents a framework to temporally reconstruct and spatially downscal...
Accurate precipitation estimation at fine spatial scales is critical for hydrology, agriculture, and climate studies. Infrared brightness temperatures from geostationary satellites offer excellent temporal coverage over continental-scale domains. However, because these measurements primarily characterize cloud-top prop...
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