Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning

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

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences

(2020) Miguel Nogueira   JOURNAL OF HYDROLOGY

The ERA5 Global Reanalysis

(2020) Hans Hersbach et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

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

(2020) Shijie Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

Snowmelt-Driven Streamflow Prediction Using Machine Learning Techniques (LSTM, NARX, GPR, and SVR)

(2020) Samit Thapa et al.   Water

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Changing climate both increases and decreases European river floods

(2019) Günter Blöschl et al.   NATURE

Daily streamflow prediction using optimally pruned extreme learning machine

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification

(2019) Haibo Chu 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

A probabilistic method for streamflow projection and associated uncertainty analysis in a data sparse alpine region

(2018) Weiwei Ren et al.   GLOBAL AND PLANETARY CHANGE

Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India

(2018) Jew Das et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Evidence for changes in the magnitude and frequency of observed rainfall vs. snowmelt driven floods in Norway

(2016) Klaus Vormoor et al.   JOURNAL OF HYDROLOGY

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios

(2014) Umut Okkan et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows

(2012) D. A. Sachindra et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

(2012) Robert J. Abrahart et al.   PROGRESS IN PHYSICAL GEOGRAPHY

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

(2011) Kabir Rasouli et al.   JOURNAL OF HYDROLOGY

The ERA-Interim reanalysis: configuration and performance of the data assimilation system

(2011) D. P. Dee et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Statistical downscaling of river flows

(2010) Clement Tisseuil et al.   JOURNAL OF HYDROLOGY

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Downscaling of GCM forecasts to streamflow over Scandinavia

(2008) Patrik Nilsson et al.   HYDROLOGY RESEARCH

Statistical downscaling of GCM simulations to streamflow using relevance vector machine

(2007) Subimal Ghosh et al.   ADVANCES IN WATER RESOURCES