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Title: Cloudnet Project

Abstract

Cloudnet is a research project supported by the European Commission. This project aims to use data obtained quasi-continuously for the development and implementation of cloud remote sensing synergy algorithms. The use of active instruments (lidar and radar) results in detailed vertical profiles of important cloud parameters which cannot be derived from current satellite sensing techniques. A network of three already existing cloud remote sensing stations (CRS-stations) will be operated for a two year period, activities will be co-ordinated, data formats harmonised and analysis of the data performed to evaluate the representation of clouds in four major european weather forecast models.

Authors:
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences
Keywords:
Cloud fraction; Cloud location; Cloud optical depth; Cloud base height; Cloud top height; Ice water content; Liquid water content
OSTI Identifier:
1169507
DOI:
10.5439/1169507

Citation Formats

Hogan, Robin. Cloudnet Project. United States: N. p., 2008. Web. doi:10.5439/1169507.
Hogan, Robin. Cloudnet Project. United States. doi:10.5439/1169507.
Hogan, Robin. 2008. "Cloudnet Project". United States. doi:10.5439/1169507. https://www.osti.gov/servlets/purl/1169507. Pub date:Tue Jan 15 00:00:00 EST 2008
@article{osti_1169507,
title = {Cloudnet Project},
author = {Hogan, Robin},
abstractNote = {Cloudnet is a research project supported by the European Commission. This project aims to use data obtained quasi-continuously for the development and implementation of cloud remote sensing synergy algorithms. The use of active instruments (lidar and radar) results in detailed vertical profiles of important cloud parameters which cannot be derived from current satellite sensing techniques. A network of three already existing cloud remote sensing stations (CRS-stations) will be operated for a two year period, activities will be co-ordinated, data formats harmonised and analysis of the data performed to evaluate the representation of clouds in four major european weather forecast models.},
doi = {10.5439/1169507},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {1}
}

Dataset:

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