Actionable information in flood risk communications and the potential for new web-based tools for long-term planning for individuals and community
RB Mostafiz, RV Rohli, CJ Friedland… - Frontiers in earth …, 2022 - frontiersin.org
Because of its ubiquitous nature and catastrophic impacts, flood information should be
readily available and continually evaluated, to maximize utility for the public and …
readily available and continually evaluated, to maximize utility for the public and …
A multi-model and multi-index evaluation of drought characteristics in the 21st century
Drought is a natural hazard that can have severe and long-lasting impacts on natural and
human systems. Although increases in global greenhouse forcing are expected to change …
human systems. Although increases in global greenhouse forcing are expected to change …
Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability …
We present a community data set of daily forcing and hydrologic response data for 671 small-
to medium-sized basins across the contiguous United States (median basin size of 336 km …
to medium-sized basins across the contiguous United States (median basin size of 336 km …
Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study …
With recent developments in computational techniques, Data-driven Machine Learning
Models (DMLs) have shown great potential in simulating streamflow and capturing the …
Models (DMLs) have shown great potential in simulating streamflow and capturing the …
Evaluation of twelve evapotranspiration products from machine learning, remote sensing and land surface models over conterminous United States
Evapotranspiration (ET) products were evaluated over the conterminous United States
(CONUS). These products include the following: 1 product from machine learning model …
(CONUS). These products include the following: 1 product from machine learning model …
[HTML][HTML] Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches
Understanding hydrological processes is achieved using modeling approaches due to the
extensive and complex interactions between various environmental elements. Hydrological …
extensive and complex interactions between various environmental elements. Hydrological …
Towards seamless large‐domain parameter estimation for hydrologic models
Estimating spatially distributed parameters remains one of the biggest challenges for large‐
domain hydrologic modeling. Many large‐domain modeling efforts rely on spatially …
domain hydrologic modeling. Many large‐domain modeling efforts rely on spatially …
Drought propagation in contiguous US watersheds: A process‐based understanding of the role of climate and watershed properties
Drought impacts on the society and environment are influenced by how droughts propagate
through the hydrologic cycle; however, the physical processes involved in drought …
through the hydrologic cycle; however, the physical processes involved in drought …
Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP
Lack of geospecificity or local relevance is a major limitation in contemporary large-scale
flood modeling frameworks. There is a little practical value for configuring a large-scale …
flood modeling frameworks. There is a little practical value for configuring a large-scale …
A systematic evaluation of Noah‐MP in simulating land‐atmosphere energy, water, and carbon exchanges over the continental United States
Accurate simulation of energy, water, and carbon fluxes exchanging between the land
surface and the atmosphere is beneficial for improving terrestrial ecohydrological and …
surface and the atmosphere is beneficial for improving terrestrial ecohydrological and …