Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models

On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation

(2020) Danlu Guo et al.   WATER RESOURCES RESEARCH

Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation

(2020) Hongxiang Fan et al.   Water

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

(2020) Shijie Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

South-to-North Water Diversion stabilizing Beijing’s groundwater levels

(2020) Di Long et al.   Nature Communications

Machine learning and artificial intelligence to aid climate change research and preparedness

(2019) Chris Huntingford et al.   Environmental Research Letters

Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model

(2019) Shuyu Yang et al.   JOURNAL OF HYDROLOGY

Investigating strategies to improve hydrologic model performance in a changing climate

(2019) C.M. Stephens et al.   JOURNAL OF HYDROLOGY

Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning

(2019) Frederik Kratzert et al.   WATER RESOURCES RESEARCH

Improving hydrological simulations by incorporating GRACE data for model calibration

(2018) Peng Bai et al.   JOURNAL OF HYDROLOGY

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

Assessing the potential robustness of conceptual rainfall-runoff models under a changing climate

(2018) Danlu Guo et al.   WATER RESOURCES RESEARCH

Improved Rainfall-Runoff Calibration for Drying Climate: Choice of Objective Function

(2018) Keirnan Fowler et al.   WATER RESOURCES RESEARCH

Investigation and simulations of changes in the relationship of precipitation-runoff in drought years

(2018) Wei Tian et al.   JOURNAL OF HYDROLOGY

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

Evaluating the robustness of conceptual rainfall-runoff models under climate variability in northern Tunisia

(2017) H. Dakhlaoui et al.   JOURNAL OF HYDROLOGY

The influence of the length of the calibration period and observation frequency on predictive uncertainty in time series modeling of groundwater dynamics

(2017) Joanne E. van der Spek et al.   WATER RESOURCES RESEARCH

Bias in streamflow projections due to climate-induced shifts in catchment response

(2016) Margarita Saft et al.   GEOPHYSICAL RESEARCH LETTERS

Comparison of an artificial neural network and a conceptual rainfall–runoff model in the simulation of ephemeral streamflow

(2016) Ioannis N. Daliakopoulos et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Exploration of sub-annual calibration schemes of hydrological models

(2016) Kue Bum Kim et al.   HYDROLOGY RESEARCH

Evaluating Regional and Global Hydrological Models against Streamflow and Evapotranspiration Measurements

(2016) Yongqiang Zhang et al.   JOURNAL OF HYDROMETEOROLOGY

Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods

(2016) Ciaran Broderick et al.   WATER RESOURCES RESEARCH

Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall-runoff models

(2016) Keirnan J. A. Fowler et al.   WATER RESOURCES RESEARCH

Exploration of sub-annual calibration schemes of hydrological models

(2016) Kue Bum Kim et al.   Hydrology Research

On the need to test hydrological models under changing conditions

(2015) Guillaume Thirel et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Comparison of performance of twelve monthly water balance models in different climatic catchments of China

(2015) Peng Bai et al.   JOURNAL OF HYDROLOGY

‘As simple as possible but not simpler’: What is useful in a temperature-based snow-accounting routine? Part 2 – Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments

(2014) Audrey Valéry et al.   JOURNAL OF HYDROLOGY

Runoff predictions in ungauged catchments in southeast Tibetan Plateau

(2014) Fapeng Li et al.   JOURNAL OF HYDROLOGY

Modeling variable river flow velocity on continental scale: Current situation and climate change impacts in Europe

(2012) Kerstin Verzano et al.   JOURNAL OF HYDROLOGY

Climate change effects on water-dependent ecosystems in south-western Australia

(2012) O. Barron et al.   JOURNAL OF HYDROLOGY

Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments

(2012) L. Coron et al.   WATER RESOURCES RESEARCH

Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity

(2011) Jiangmei Luo et al.   HYDROLOGICAL PROCESSES

A review of efficiency criteria suitable for evaluating low-flow simulations

(2011) Raji Pushpalatha et al.   JOURNAL OF HYDROLOGY

Time stability of catchment model parameters: Implications for climate impact analyses

(2011) Ralf Merz et al.   WATER RESOURCES RESEARCH

Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies

(2010) J. Vaze et al.   JOURNAL OF HYDROLOGY

Large scale surface–subsurface hydrological model to assess climate change impacts on groundwater reserves

(2009) Pascal Goderniaux et al.   JOURNAL OF HYDROLOGY

Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia

(2009) Yongqiang Zhang et al.   JOURNAL OF HYDROMETEOROLOGY

Stationarity Is Dead: Whither Water Management?

(2008) P. C. D. Milly et al.   SCIENCE

Discrete parameterization of hydrological models: Evaluating the use of parameter sets libraries over 900 catchments

(2008) Charles Perrin et al.   WATER RESOURCES RESEARCH