A framework for probabilistic weather forecast post-processing across models and lead times using machine learning

Machine learning and big scientific data

(2020) Tony Hey et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Generalized random forests

(2019) Susan Athey et al.   ANNALS OF STATISTICS

Reconciling modern machine-learning practice and the classical bias–variance trade-off

(2019) Mikhail Belkin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Improving Atmospheric River Forecasts With Machine Learning

(2019) W. E. Chapman et al.   GEOPHYSICAL RESEARCH LETTERS

Neural Networks for Postprocessing Ensemble Weather Forecasts

(2018) Stephan Rasp et al.   MONTHLY WEATHER REVIEW

Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks

(2018) Ata Akbari Asanjan et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Spatial ensemble post-processing with standardized anomalies

(2017) Markus Dabernig et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Decision Analysis for Management of Natural Hazards

(2016) Michael Simpson et al.   Annual Review of Environment and Resources

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

(2016) Ye Ren et al.   IEEE Computational Intelligence Magazine

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics

(2016) Maxime Taillardat et al.   MONTHLY WEATHER REVIEW

On the use of Bayesian decision theory for issuing natural hazard warnings

(2016) T. Economou et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

The quiet revolution of numerical weather prediction

(2015) Peter Bauer et al.   NATURE

Model averaging methods to merge operational statistical and dynamic seasonal streamflow forecasts in Australia

(2015) Andrew Schepen et al.   WATER RESOURCES RESEARCH

Decomposition and graphical portrayal of the quantile score

(2013) Sabrina Bentzien et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Combining predictive distributions

(2013) Tilmann Gneiting et al.   Electronic Journal of Statistics

Increase of extreme events in a warming world

(2011) S. Rahmstorf et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

(2011) Tomislav Hengl et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Quantile regression neural networks: Implementation in R and application to precipitation downscaling

(2010) Alex J. Cannon   COMPUTERS & GEOSCIENCES