Download
Cite as:
Sch&uuml;tz, M.; Sch&uuml;tz, A.; Bendix, J.; M&uuml;ller, J. &amp; Thies, B. (2025): <b>Evaluating station, satellite, &amp; combined data for XGBoost-based visibility forecast</b>. <i>Atmospheric Research</i> <b>328</b>, 108395.

Resource Description
Title: Evaluating station, satellite, & combined data for XGBoost-based visibility forecast
FOR816dw ID: 604
Publication Date: 2025-01-01
License and Usage Rights:
Resource Owner(s):
Individual: Michaela Schütz
Contact:
Individual: Adrian Schütz
Contact:
Individual: Joerg Bendix
Contact:
Individual: Jonas Müller
Contact:
Individual: Boris Thies
Contact:
Keywords:
| XGBoost | forecast |
Literature type specific fields:
ARTICLE
Journal: Atmospheric Research
Volume: 328
Page Range: 108395
Publisher: Elsevier
Metadata Provider:
Individual: Maik Dobbermann
Contact:
Online Distribution:
Download File: http://www.lcrs.de/publications.do?citid=604


Quick search

  • Publications:
  • Datasets:

Keywords:

Datasets: / Publications:
Andes Biodiversity biomass Chile Ecuador El Nino fog Fog detection low stratus Machine learning Meteosat Meteosat Second Generation MODIS NOAA-AVHRR precipitation rainfall remote sensing South Ecuador southern Ecuador Tibetan Plateau