:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Watson, Andrew
Format:	Recurso digital
Language:
Published:	Zenodo 2024
Online Access:	https://doi.org/10.1002/hyp.15065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing isotope‐enabled hydrological modelling for ungauged calibration of data‐scarce humid tropical catchments
by: Andrew Watson, et al.
Published: (2024)

A simple regionalization approach as an alternative to obtain rainfall data in a tropical and ungauged catchment
by: José F. Alvis
Published: (2016)

Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model
by: Praveen Kalura, et al.
Published: (2024)

Getting your money's worth: Testing the value of data for hydrological model calibration
by: Jan Seibert, et al.
Published: (2024)

Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes
by: Neves, Paulo, et al.
Published: (2024)

Geophysics-informed hydrologic modeling reveals contrasting regolith and bedrock responses of headwater catchments to warming
by: Xiong, Chen
Published: (2026)

Scientific evidence of the hydrological impacts of nature‐based solutions at the catchment scale
by: Morgane Lalonde, et al.
Published: (2024)

Linking catchment hydrology and ocean circulation in Late Holocene southernmost Africa
by: Hahn, Annette, et al.
Published: (2017)

Effects of input data accuracy, catchment threshold areas and calibration algorithms on model uncertainty reduction
by: Lei Wu, et al.
Published: (2024)

Evaluating input data sources for isotope‐enabled rainfall‐runoff models
by: Andrew Watson, et al.
Published: (2024)

Domain-aware priors stabilize, not merely enable, vertical federated learning in data-scarce coral multi-omics
by: Victor, Sam
Published: (2025)

Data for hydrological responses in a mountainous catchment in Central Valley, Costa Rica
by: Mena-Rivera, Leonardo, et al.
Published: (2025)

Assessing the impacts of environmental change on the hydrology of the Nzoia catchment, in the Lake Victoria Basin.
by: Githui, Faith Wairimu
Published: (2008)

Hydrological modeling of ungauged wadis in arid environments using GIS: a case study of Wadi Madoneh in Jordan
by: Ali El Naqa
Published: (2007)

Strict contactomorphisms are scarce
by: Oh, Yong-Geun, et al.
Published: (2025)

Spatial distribution of rainfall–runoff characteristics and peak lag time in high‐relief meso‐scale mountain catchments where observations are scarce
by: Takafumi Hajika, et al.
Published: (2024)

Comparison of global and local optimization methods for the calibration and sensitivity analysis of a conceptual hydrological model
by: Maikel Mendez Morales
Published: (2019)

Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case of the ungauged Rheraya watershed, Morocco
by: Elghouat, Akram, et al.
Published: (2024)

Daily time series of peatland hydrology from peatland-dominated boreal catchment, Minganie, Quebec, Canada
by: Prijac, Antonin
Published: (2023)

Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
by: Zhou, Mingyuan, et al.
Published: (2024)

Invariant multiscale neural networks for data-scarce scientific applications
by: Schurov, I., et al.
Published: (2024)

Thermodynamics-informed super-resolution of scarce temporal dynamics data
by: Bermejo-Barbanoj, Carlos, et al.
Published: (2024)

Projection-based multifidelity linear regression for data-scarce applications
by: Sella, Vignesh, et al.
Published: (2025)

Hybrid Data-enabled Predictive Control: Incorporating model knowledge into the DeePC
by: Watson, Jeremy D.
Published: (2025)

Gaussian Processes enabled model calibration in the context of deep geological disposal
by: Paul, Lennart, et al.
Published: (2024)

Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data
by: Wang, Bingran, et al.
Published: (2026)

Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
by: Jamaat, Amirmoez, et al.
Published: (2025)

Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
by: Liu, Ning, et al.
Published: (2024)

Multifidelity linear regression for scientific machine learning from scarce data
by: Qian, Elizabeth, et al.
Published: (2024)

Inferring the presence and abundance of rare waterbirds species from scarce data
by: Bricout, Barbara, et al.
Published: (2026)

Scalable protocol to coherence estimation from scarce data: Theory and experiment
by: Ding, Qi-Ming, et al.
Published: (2025)

Understanding hydrological processes of glacierized catchments in the western Himalayas by a multi‐year tracer‐based hydrograph separation analysis
by: Tanveer Dar, et al.
Published: (2024)

Time serie for the growing season (2018) of peatland hydrology from peatland-dominated boreal catchment, Minganie, Quebec, Canada
by: Prijac, Antonin
Published: (2023)

Time serie for the growing season (2019) of peatland hydrology from peatland-dominated boreal catchment, Minganie, Quebec, Canada
by: Prijac, Antonin
Published: (2023)

Univariate versus multivariate flood frequency analysis in tropical region: Employing two classes of hydrological models
by: Proloy Deb, et al.
Published: (2024)

For addicted teens, residential treatment is scarce and expensive
by: Alison Knopf
Published: (2024)

The habitat volumes of scarce and ubiquitous plants : a test of the model of environmental control
by: Burgman, M.A
Published: (1984)

Diversity patterns of aquatic macroinvertebrates in a tropical high-Andean catchment
by: Rodrigo Espinosa
Published: (2020)

Deep learning and abstractive summarisation for radiological reports: an empirical study for adapting the PEGASUS models' family with scarce data
by: Benzoni, Claudio, et al.
Published: (2025)

Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
by: Fung, Lloyd, et al.
Published: (2024)