Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …

As the largest river basin on Earth, the Amazon is of major importance to the world's climate
and water resources. Over the past decades, advances in satellite‐based remote sensing …

Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …

Flood is one of the most devastating natural disasters that occur frequently in Terengganu,
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …

EURO-CORDEX (Coordinated Downscaling Experiment over Europe), a new generation of
downscaled climate projections, has become available for climate change impact studies in …

Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …

Global hydrology has come a long way since the first introduction of the primitive land
surface model of Manabe (1969) and the declaration of the “Emergence of Global …

At the current rate of global warming, the target of limiting it within 2 degrees by the end of
the century seems more and more unrealistic. Policymakers, businesses and organizations …

Hydrological model calibration combining Earth observations and in situ measurements is a
promising solution to overcome the limitations of the traditional streamflow‐only calibration …

As a genre of physics-informed machine learning, differentiable process-based hydrologic
models (abbreviated as δ or delta models) with regionalized deep-network-based …