Deep Learning for Daily Precipitation and Temperature Downscaling

Statistical downscaling of daily temperature and precipitation over China using Deep Learning Neural Models: Localization and Comparison with other methods

(2020) Lei Sun et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature

(2020) Yingkai Sha et al.   Journal of Applied Meteorology and Climatology

Improving Precipitation Estimation Using Convolutional Neural Network

(2019) Baoxiang Pan et al.   WATER RESOURCES RESEARCH

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

(2019) Markus Reichstein et al.   NATURE

Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

(2019) Qinghua Miao et al.   Water

Deep learning for multi-year ENSO forecasts

(2019) Yoo-Geun Ham et al.   NATURE

Machine learning for downscaling: the use of parallel multiple populations in genetic programming

(2019) D. A. Sachindra et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Comparison of Statistical and Dynamic Downscaling Techniques in Generating High-resolution Temperatures in China from CMIP5 GCMs

(2019) Lei Zhang et al.   Journal of Applied Meteorology and Climatology

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution

(2019) Di Long et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Statistical downscaling of precipitation using machine learning techniques

(2018) D.A. Sachindra et al.   ATMOSPHERIC RESEARCH

Defining spatiotemporal characteristics of climate change trends from downscaled GCMs ensembles: how climate change reacts in Xinjiang, China

(2018) Min Luo et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE

(2018) Elke Hertig et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation

(2018) Thomas Vandal et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Statistical downscaling skill under present climate conditions: A synthesis of the VALUE perfect predictor experiment

(2018) Douglas Maraun et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

The VALUE perfect predictor experiment: evaluation of temporal variability

(2017) Douglas Maraun et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Performance comparison of three predictor selection methods for statistical downscaling of daily precipitation

(2016) Chunli Yang et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Spatial downscaling of precipitation using adaptable random forests

(2016) Xiaogang He et al.   WATER RESOURCES RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

XSEDE: Accelerating Scientific Discovery

(2014) John Towns et al.   COMPUTING IN SCIENCE & ENGINEERING

Statistical Downscaling Using Localized Constructed Analogs (LOCA)*

(2014) David W. Pierce et al.   JOURNAL OF HYDROMETEOROLOGY

Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate

(2012) G. Bürger et al.   JOURNAL OF CLIMATE

Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios

(2012) Harald Kling et al.   JOURNAL OF HYDROLOGY

A comparison of statistical downscaling methods suited for wildfire applications

(2011) John T. Abatzoglou et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Development of gridded surface meteorological data for ecological applications and modelling

(2011) John T. Abatzoglou   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Statistical downscaling of daily precipitation using support vector machines and multivariate analysis

(2010) Shien-Tsung Chen et al.   JOURNAL OF HYDROLOGY

State-of-the-art with regional climate models

(2009) Markku Rummukainen   Wiley Interdisciplinary Reviews-Climate Change