Improving streamflow prediction in the WRF-Hydro model with LSTM networks

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US

(2020) Goutam Konapala et al.   Environmental Research Letters

Enhancing the Structure of the WRF-Hydro Hydrologic Model for Semi-Arid Environments

(2019) Timothy M. Lahmers et al.   JOURNAL OF HYDROMETEOROLOGY

Process‐Guided Deep Learning Predictions of Lake Water Temperature

(2019) Jordan S. Read et al.   WATER RESOURCES RESEARCH

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

(2017) Kuai Fang et al.   GEOPHYSICAL RESEARCH LETTERS

Joint atmospheric-terrestrial water balances for East Africa: a WRF-Hydro case study for the upper Tana River basin

(2017) Noah Kerandi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

On the diurnal cycle of surface energy fluxes in the North American monsoon region using the WRF-Hydro modeling system

(2017) Tiantian Xiang et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Role of Runoff–Infiltration Partitioning and Resolved Overland Flow on Land–Atmosphere Feedbacks: A Case Study with the WRF-Hydro Coupled Modeling System for West Africa

(2016) Joel Arnault et al.   JOURNAL OF HYDROMETEOROLOGY

Conceptual Framework for the National Flood Interoperability Experiment

(2016) David R. Maidment   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

(2016) Mathis Loïc Messager et al.   Nature Communications

Data-driven methods to improve baseflow prediction of a regional groundwater model

(2015) Tianfang Xu et al.   COMPUTERS & GEOSCIENCES

Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall

(2015) I. Yucel et al.   JOURNAL OF HYDROLOGY

Physically based modeling in catchment hydrology at 50: Survey and outlook

(2015) Claudio Paniconi et al.   WATER RESOURCES RESEARCH

Fully coupled atmosphere-hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales

(2015) Alfonso Senatore et al.   Journal of Advances in Modeling Earth Systems

Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania

(2015) Tim Appelhans et al.   Spatial Statistics

Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models

(2014) Tianfang Xu et al.   Groundwater

Performance of a conceptual and physically based model in simulating the response of a semi-urbanized watershed in San Antonio, Texas

(2012) Almoutaz A. El Hassan et al.   HYDROLOGICAL PROCESSES

Hydrological model parameter instability: A source of additional uncertainty in estimating the hydrological impacts of climate change?

(2012) Pierre Brigode et al.   JOURNAL OF HYDROLOGY

Daily streamflow forecasting by machine learning methods with weather and climate inputs

(2011) Kabir Rasouli et al.   JOURNAL OF HYDROLOGY

How many hidden layers and nodes?

(2009) D. Stathakis   INTERNATIONAL JOURNAL OF REMOTE SENSING

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

(2008) Christopher Daly et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY