Laura E. Condon
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View article: A HydroLSTM‐Based Machine‐Learning Approach to Discovering Regionalized Representations of Catchment Dynamics
A HydroLSTM‐Based Machine‐Learning Approach to Discovering Regionalized Representations of Catchment Dynamics Open
Finding similarities between model parameters across different catchments has proved to be challenging. Existing approaches struggle due to catchment heterogeneity and non‐linear dynamics. In particular, attempts to correlate catchment att…
View article: CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China Open
Large-scale hydrologic modeling at the national scale is an increasingly important effort worldwide to tackle ecohydrologic issues induced by global water scarcity. In this study, a surface water–groundwater integrated hydrologic modeling …
View article: High resolution US water table depth estimates reveal quantity of accessible groundwater
High resolution US water table depth estimates reveal quantity of accessible groundwater Open
Groundwater is the largest accessible freshwater on Earth, yet its quantity and distribution remains unknown. Here we develop a high resolution (approximately 30m) estimate of water table depth over the continental United States using mach…
View article: A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models
A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models Open
Hydrogeologic models generally require gridded subsurface properties, however these inputs are often difficult to obtain and highly uncertain. Parametrizing computationally expensive models where extensive calibration is computationally in…
View article: Advancing Large-Scale Hyper-Resolution Groundwater Modeling Using a Machine Learning-Based Downscaling Tool
Advancing Large-Scale Hyper-Resolution Groundwater Modeling Using a Machine Learning-Based Downscaling Tool Open
Groundwater is becoming more important in sustainable water management, particularly in the context of climate change and intensive human interventions. Given that groundwater varies in space and time, it is important to predict both its d…
View article: Surrogate modeling for large-scale integrated hydrologic modeling: A case study in deep learning, model inversion, and hybrid methods across the Continental United States
Surrogate modeling for large-scale integrated hydrologic modeling: A case study in deep learning, model inversion, and hybrid methods across the Continental United States Open
Use of complex, high-resolution integrated hydrologic models offer the most comprehensive and detailed representations of groundwater, surface water, and land surface processes, but are challenging to use for forecasting tasks due to high …
View article: Subgrid channel formulation in an integrated surface-subsurface hydrologic model
Subgrid channel formulation in an integrated surface-subsurface hydrologic model Open
In hydrologic modeling, the assumption of homogeneity within a cell averages all variability finer than the model resolution. This loss of information can impact a model's ability to accurately represent hydrologic processes, especially in…
View article: A scalable and modular reservoir implementation for large-scale integrated hydrologic simulations
A scalable and modular reservoir implementation for large-scale integrated hydrologic simulations Open
Recent advancements in integrated hydrologic modeling have enabled increasingly high-fidelity models of the complete terrestrial hydrologic cycle. These advances are critical for our ability to understand and predict watershed dynamics, es…
View article: Simulation-based inference for parameter estimation of complex watershed simulators
Simulation-based inference for parameter estimation of complex watershed simulators Open
High-resolution, spatially distributed process-based (PB) simulators are widely employed in the study of complex catchment processes and their responses to a changing climate. However, calibrating these PB simulators using observed data re…
View article: CONCN: A high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China
CONCN: A high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China Open
Large-scale hydrologic modeling at national scale is an increasing important effort worldwide to tackle ecohydrologic issues induced by global water scarcity. In this study, a surface water-groundwater integrated hydrologic modeling platfo…
View article: Historical patterns of well drilling and groundwater depth in Arizona considering groundwater regulation and surface water access
Historical patterns of well drilling and groundwater depth in Arizona considering groundwater regulation and surface water access Open
Arizona has a long history of groundwater use, and there is concern about long term groundwater sustainability across the state. We explore groundwater trends across Arizona and how they vary with respect to: (1) whether groundwater pumpin…
View article: Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long‐Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs
Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long‐Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs Open
Hydrological drought is a pervasive and reoccurring challenge in managing water resources. Reservoirs are critical for lessening the impacts of drought on water available for many uses. We use a novel and generalized approach to identify p…
View article: Author Correction: The evolution of dam induced river fragmentation in the United States
Author Correction: The evolution of dam induced river fragmentation in the United States Open
Article contained an error in the description of the results (end of the first paragraph), which incorrectly omitted the following: 'Cooper et al. 21used the NABD database to calculate 21 different dam impact metrics across the CONUS inclu…
View article: hf_hydrodata: A Python package for accessing hydrologicsimulations and observations across the United States
hf_hydrodata: A Python package for accessing hydrologicsimulations and observations across the United States Open
Defnet et al., (2024). hf_hydrodata: A Python package for accessing hydrologic simulations and observations across the United States. Journal of Open Source Software, 9(99), 6623, https://doi.org/10.21105/joss.06623
View article: SubsetTools: A Python package to subset data to buildand run ParFlow hydrologic models
SubsetTools: A Python package to subset data to buildand run ParFlow hydrologic models Open
Hydrologic models are an integral part of understanding and managing water supply.There are countless hydrologic models available that differ in their complexity, scale and focus on different parts of the hydrologic cycle.ParFlow is a full…
View article: Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology
Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology Open
Integrated hydrologic models can simulate coupled surface and subsurface processes but are computationally expensive to run at high resolutions over large domains. Here we develop a novel deep learning model to emulate subsurface flows sim…
View article: A scalable and modular reservoir implementation for large scale integrated hydrologic simulations
A scalable and modular reservoir implementation for large scale integrated hydrologic simulations Open
Recent advancements in integrated hydrologic modeling have enabled increasingly high-fidelity models of the complete terrestrial hydrologic cycle. These advances are critical for our ability to understand and predict watershed dynamics esp…
View article: Eco-hydrology modelling in arid areas : Study of root density impact on water fluxes in the Sahelian region
Eco-hydrology modelling in arid areas : Study of root density impact on water fluxes in the Sahelian region Open
The Sahelian region experienced intense droughts between 1970 and 1990 and despite a precipitation « recovering », soils remain degraded and a decrease in the soil ability to infiltrate - an essential characteristic for vegetatio…
View article: A Novel Hyper-Resolution Water Table Depth Product for the Contiguous US
A Novel Hyper-Resolution Water Table Depth Product for the Contiguous US Open
Groundwater is our largest freshwater reservoir, playing a key role in supplying drinking water, guaranteeing food security, supporting biodiversity, and sustaining surface water bodies. While we have water table depth (WTD) observations a…
View article: Building and evaluating the high-resolution, integrated groundwater-surface water ParFlow modeling platform of continental China (CONCN): leveraging global datasets in a data-poor region   
Building and evaluating the high-resolution, integrated groundwater-surface water ParFlow modeling platform of continental China (CONCN): leveraging global datasets in a data-poor region    Open
ParFlow CONCN model is the first integrated groundwater-surface water modeling platform over the mainland of China with a resolution of 30-arcsec and a depth of 492 m. With the flexibility of reconstruction and prediction of groundwater an…
View article: Exploring Catchment Regionalization through the Eyes of HydroLSTM
Exploring Catchment Regionalization through the Eyes of HydroLSTM Open
Regionalization is an issue that hydrologists have been working on for decades. It is used, for example, when we transfer parameters from one calibrated model to another, or when we identify similarities between gauged to ungauged catchmen…
View article: Synthesis of historical reservoir operations from 1980 to 2020 for the evaluation of reservoir representation in large-scale hydrologic models
Synthesis of historical reservoir operations from 1980 to 2020 for the evaluation of reservoir representation in large-scale hydrologic models Open
All the major river systems in the contiguous United States (CONUS) (and many in the world) are impacted by dams, yet reservoir operations remain difficult to quantify and model due to a lack of data. Reservoir operation data are often ina…
View article: Toward interpretable LSTM-based modeling of hydrological systems
Toward interpretable LSTM-based modeling of hydrological systems Open
Several studies have demonstrated the ability of long short-term memory (LSTM) machine-learning-based modeling to outperform traditional spatially lumped process-based modeling approaches for streamflow prediction. However, due mainly to t…
View article: Comment on hess-2023-264
Comment on hess-2023-264 Open
Abstract. High-resolution, spatially distributed process-based (PB) simulators are widely employed in the study of complex watershed processes and their responses to a changing climate. However, calibrating these simulators to observed dat…