PrecipGAN: Merging Microwave and Infrared Data for Satellite Precipitation Estimation Using Generative Adversarial Network

Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets

(2020) Guoqiang Tang et al.   REMOTE SENSING OF ENVIRONMENT

Infrared Precipitation Estimation Using Convolutional Neural Network

(2020) Cunguang Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Improving Precipitation Estimation Using Convolutional Neural Network

(2019) Baoxiang Pan et al.   WATER RESOURCES RESEARCH

Rainfall Estimation From Ground Radar and TRMM Precipitation Radar Using Hybrid Deep Neural Networks

(2019) Haonan Chen et al.   GEOPHYSICAL RESEARCH LETTERS

Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach

(2019) Weizhen Fang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks

(2019) Mojtaba Sadeghi et al.   JOURNAL OF HYDROMETEOROLOGY

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN

(2019) Negin Hayatbini et al.   Remote Sensing

Evaluation and machine learning improvement of global hydrological model-based flood simulations

(2019) Tao Yang et al.   Environmental Research Letters

Diurnal Cycle of IMERG V06 Precipitation

(2019) Jackson Tan et al.   GEOPHYSICAL RESEARCH LETTERS

Physics‐Constrained Machine Learning of Evapotranspiration

(2019) Wen Li Zhao et al.   GEOPHYSICAL RESEARCH LETTERS

A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations

(2019) Haonan Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Could Machine Learning Break the Convection Parameterization Deadlock?

(2018) P. Gentine et al.   GEOPHYSICAL RESEARCH LETTERS

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

(2018) Zilong Zhong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

The limits and potentials of deep learning for robotics

(2018) Niko Sünderhauf et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Global intercomparison and regional evaluation of GPM IMERG Version-03, Version-04 and its latest Version-05 precipitation products: Similarity, difference and improvements

(2018) Cunguang Wang et al.   JOURNAL OF HYDROLOGY

A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information

(2018) Yumeng Tao et al.   JOURNAL OF HYDROMETEOROLOGY

Evaluation of diurnal variation of GPM IMERG-derived summer precipitation over the contiguous US using MRMS data

(2018) Sungmin O et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Documentation of multifactorial relationships between precipitation and topography of the Tibetan Plateau using spaceborne precipitation radars

(2018) Guoqiang Tang et al.   REMOTE SENSING OF ENVIRONMENT

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

(2018) Qiaohong Sun et al.   REVIEWS OF GEOPHYSICS

MSWEP V2 global 3-hourly 0.1° precipitation: methodology and quantitative assessment

(2018) Hylke E. Beck et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Deep learning to represent subgrid processes in climate models

(2018) Stephan Rasp et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data

(2018) Guoqiang Tang et al.   WATER RESOURCES RESEARCH

Joint Deep Learning for land cover and land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

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

Challenges in Quantifying Changes in the Global Water Cycle

(2015) Gabriele C. Hegerl et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Probabilistic precipitation rate estimates with ground-based radar networks

(2015) Pierre-Emmanuel Kirstetter et al.   WATER RESOURCES RESEARCH

The Global Precipitation Measurement Mission

(2013) Arthur Y. Hou et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Advanced Concepts on Remote Sensing of Precipitation at Multiple Scales

(2011) Soroosh Sorooshian et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans

(2011) Jian Zhang et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

A conceptual model for constructing high-resolution gauge-satellite merged precipitation analyses

(2011) Pingping Xie et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Kalman Filter–Based CMORPH

(2011) Robert J. Joyce et al.   JOURNAL OF HYDROMETEOROLOGY

REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates

(2010) Ali Behrangi et al.   JOURNAL OF HYDROMETEOROLOGY

GSMaP Passive Microwave Precipitation Retrieval Algorithm : Algorithm Description and Validation

(2009) Kazumasa AONASHI et al.   JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN