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Andrew Bennett
Member of the Graduate Faculty | Assistant Professor, Hydrology / Atmospheric Sciences
Hydrology & Atmospheric Sci
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Research Area
simulation,
hydrologic modeling,
reproducibility,
information theory,
earth science,
paradigm shift,
hypothesis testing,
research methods,
machine learning,
land surface
Grants
(1)
Advancing UFS Forecast Model Evaluation and Improvement for S2S Hydrometeorological Prediction in the Western States
Active
·
2023
·
$220K
·
External
Principal Investigator (PI)
hydrometeorological prediction,
forecast model evaluation,
s2s prediction,
ufs model improvement,
western states
Publications
(8)
Recent
Simulation-Based Inference for Parameter Estimation of Complex Watershed Simulators
2024
simulation,
inference,
parameter estimation,
watershed,
complex systems
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization
2023
data partitioning,
model development,
model evaluation,
generalization,
confronting bias
Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies
2023
cyberinfrastructure,
hydrologic modeling,
reuse,
reproducibility,
complex studies
When and Where Are Multiple Snow Layers Important for Simulations of Snow Accumulation and Melt?
2022
snow accumulation,
snowmelt,
simulation,
snow layers,
location
Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models
2022
hydrologic modeling,
reproducibility,
community workflows,
model configuration,
large-domain models
A Process-Conditioned and Spatially Consistent Method for Reducing Systematic Biases in Modeled Streamflow
2022
streamflow modeling,
bias reduction,
spatial consistency,
process-conditioned method,
systematic biases
Learning from Observations: The Case for a New Generation of Land Surface Models
2021
machine learning,
land surface,
environmental models,
data-driven modeling,
climate change
Does Information Theory Provide a New Paradigm for Earth Science? Hypothesis Testing
2020
information theory,
earth science,
paradigm shift,
hypothesis testing,
research methods
Collaborations
(5)
Guo-Yue Niu
Mutual work: 1 Proposal
Collaboration Details
Nirav Merchant
Mutual work: 1 Proposal
Collaboration Details
Ali Behrangi
Mutual work: 1 Proposal
Collaboration Details
Hsin Chang
Mutual work: 1 Proposal
Collaboration Details
Laura Condon
Mutual work: 1 Proposal﹒1 Publication
Collaboration Details
Courses
(2)
Tools for Data Handling and Analysis in Water, Weather, & Climate
Earth: Our Watery Home
4+ Collaborators
$220K / $220K Funding
7+ Publications