Supplementary Material to &Quot;RainNet V1.0: A Convolutional Neural Network for Radar-Based Precipitation Nowcasting"

doi 10.5194/gmd-2020-30-supplement
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

RainNet V1.0: A Convolutional Neural Network for Radar-Based Precipitation Nowcasting

2020English

Supplementary Material to &Quot;A Global Monthly Climatology of Oceanic Total Dissolved Inorganic Carbon: A Neural Network Approach"

2020English

Supplementary Material to &Quot;OPTiMAL: A New Machine Learning Approach for GDGT-based Palaeothermometry"

2019English

Supplementary Material to &Quot;Update and Evaluation of the Ozone Dry Deposition in the Oslo CTM3 V1.0"

2019English

Supplementary Material to &Quot;1-Km Monthly Temperature and Precipitation Dataset for China From 1901–2017"

2019English

Supplementary Material to &Quot;COSMO-Bep-Tree V1.0: A Coupled Urban Climate Model With Explicit Representation of Street Trees"

2019English

Supplementary Material to &Quot;Direct Flood Risk Assessment of the European Road Network: An Object-Based Approach"

2020English

Supplementary Material to &Quot;PM2.5 /&Amp;#8201;PM10 Ratio Prediction Based on a Long Short-Term Memory Neural Network in Wuhan, China"

2019English

Supplementary Material to &Quot;The Onset of Asian Monsoons: A Modelling Perspective"

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy