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Data · dataset · 2023

Scanning X-band rainfall radar data for Machine Learning nowcast

Listed in CKAN @ IoT Lab

The dataset presents a training set of rainfall files, used to develop a Long Short-Term Memory (LSTM) rainfall forecast.

Description

The format of input files is in NetCDF, packed as daily files for September 2020. The project where files have been used was in a pilot experiment (DEvelopment of a NOWcasting Machine-Learning module for X-band and C-band weather-radars (DeNOW) ) within Fed4FIRE+, in the end of year 2020.

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Stated by source
Fed4FIRE
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
CKAN @ IoT Lab04ea12b2-2e3c-4ddb-a612-74ae6bedfa4e12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
concepts[field].local:field:computer-science-aimapping · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
concepts[field].local:field:engineeringmapping · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
concepts[topic].ckan_group:ckan_iotlab_com:fed4firesource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
created_datesource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
descriptionsource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0/notes
license_textsource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
publication_datesource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
titlesource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0/title
updated_datesource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0
version_labelsource · ckan iotlab comconnector:ckan_iotlab_com@1.0.0