Uncertainties in hydrologic parameters could have significant impacts on the simulated water
and energy fluxes and land surface states, which will in turn affect atmospheric processes …

Accurately estimating reservoir parameters from geophysical data is vitally important in
hydrocarbon exploration and production. We have developed a new joint-inversion algorithm to …

We develop a Bayesian model to jointly invert marine seismic amplitude versus angle (AVA)
and controlled-source electromagnetic (CSEM) data for a layered reservoir model. We …

Numerical models are essential tools in fully understanding the fate of injected CO 2 for
commercial-scale sequestration projects and should be included in the life cycle of a project. …

We evaluate the sensitivity of simulated turbine-height wind speeds to 26 parameters within
the Mellor–Yamada–Nakanishi–Niino (MYNN) planetary boundary-layer scheme and MM5 …

There is a renewed focus on the design of infrastructure resilient to extreme hydrometeorological
events. While precipitation‐based intensity‐duration‐frequency (IDF) curves are …

We investigate the sensitivity of precipitation characteristics (mean, extreme, and diurnal cycle)
to a set of uncertain parameters that influence the qualitative and quantitative behavior of …

The atmospheric component of Energy Exascale Earth System Model version 1 has
included many new features in the physics parameterizations compared to its predecessors. …

The hyporheic zone (HZ) is the active ecotone between the surface stream and groundwater,
where exchanges of nutrients and organic carbon have been shown to stimulate microbial …

In snow‐dominated regions, a key source of uncertainty in hydrologic prediction and
forecasting is the magnitude and distribution of snow water equivalent (SWE). With ensemble …