Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics
Authors
Keywords
-
Journal
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
Volume 57, Issue 6, Pages 885-905
Publisher
Wiley
Online
2021-11-16
DOI
10.1111/1752-1688.12964
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An experiment on reservoir representation schemes to improve hydrologic prediction: coupling the national water model with the HEC-ResSim
- (2020) Jungho Kim et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction
- (2020) Jayashree Chadalawada et al. WATER RESOURCES RESEARCH
- Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems
- (2020) A. M. Tartakovsky et al. WATER RESOURCES RESEARCH
- The proper care and feeding of CAMELS: How limited training data affects streamflow prediction
- (2020) Martin Gauch et al. ENVIRONMENTAL MODELLING & SOFTWARE
- What Role Does Hydrological Science Play in the Age of Machine Learning?
- (2020) Grey S. Nearing et al. WATER RESOURCES RESEARCH
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Assessing Retrospective National Water Model Streamflow with Respect to Droughts and Low Flows in the Colorado River Basin
- (2019) Carly Hansen et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Process‐Guided Deep Learning Predictions of Lake Water Temperature
- (2019) Jordan S. Read et al. WATER RESOURCES RESEARCH
- Benchmarking and Process Diagnostics of Land Models
- (2018) Grey S. Nearing et al. JOURNAL OF HYDROMETEOROLOGY
- A ranking of hydrological signatures based on their predictability in space
- (2018) N. Addor et al. WATER RESOURCES RESEARCH
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
- (2017) Anuj Karpatne et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Towards Real-Time Continental Scale Streamflow Simulation in Continuous and Discrete Space
- (2017) Fernando R. Salas et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Hydrologic post-processing of MOPEX streamflow simulations
- (2013) Aizhong Ye et al. JOURNAL OF HYDROLOGY
- The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements
- (2011) Guo-Yue Niu et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- (2008) Hoshin V. Gupta et al. HYDROLOGICAL PROCESSES
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started