Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

Computer simulation models have been widely used to generate hydrometeorological
forecasts. As the raw forecasts contain uncertainties arising from various sources, including …

Particle filters (PFs) have become popular for assimilation of a wide range of hydrologic
variables in recent years. With this increased use, it has become necessary to increase the …

Hourly precipitation forecasting is considered a spatiotemporal sequence forecasting
problem that plays an increasingly important role in early warning of rainfall-induced floods …

In hydrologic modeling, state‐parameter estimation using data assimilation techniques is
increasing in popularity. Several studies, using both the ensemble Kalman filter (EnKF) and …

Abstract Design of coastal defense structures like seawalls and breakwaters can no longer
be based on stationarity assumption. In many parts of the world, an anticipated sea‐level …

This study assesses the performance of 22 Coupled Model Intercomparison Project Phase 5
(CMIP5) historical simulations of rainfall over East Africa (EA) against reanalyzed datasets …

Bayesian model averaging (BMA) is a popular approach to combine hydrologic forecasts
from individual models and characterize the uncertainty induced by model structure. In the …

Seasonal drought forecasting is presented within a multivariate probabilistic framework. The
standardized streamflow index (SSI) is used to characterize hydrologic droughts with …