Cloudmetrics

M. Janssens

doi:10.6084/m9.figshare.12687731

Cloudmetrics

Research output: Non-textual form › Software

Abstract

An end-to-end implementation to download, characterise and analyse cloud field patterns in satellite observations, using metrics and principal component analysis

Original language	English
Publisher	Wageningen University & Research
Media of output	Online
DOIs	https://doi.org/10.6084/m9.figshare.12687731
Publication status	Published - 26 Sept 2020

Keywords

Python
clouds
cloud field organisation

Access to Document

10.6084/m9.figshare.12687731Licence: Open Access other

1 Article

Cloud Patterns in the Trades Have Four Interpretable Dimensions
Janssens, M., Vilà‐Guerau De Arellano, J., Scheffer, M., Antonissen, C., Siebesma, A. P. & Glassmeier, F., 16 Mar 2021, In: Geophysical Research Letters. 48, 5, e2020GL091001.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
10 Citations (Scopus)

Compressed table of cloud field metrics computed for a dataset of satellite observations
Janssens, M. (Creator), Wageningen University & Research, 26 Sept 2020
DOI: 10.6084/m9.figshare.12687302
Dataset

Cite this

@misc{bafc311e22d143b881e05296dc1629fe,

title = "Cloudmetrics",

abstract = "An end-to-end implementation to download, characterise and analyse cloud field patterns in satellite observations, using metrics and principal component analysis",

keywords = "Python, clouds, cloud field organisation",

author = "M. Janssens",

year = "2020",

month = sep,

day = "26",

doi = "10.6084/m9.figshare.12687731",

language = "English",

publisher = "Wageningen University & Research",

address = "Netherlands",

}

TY - ADVS

T1 - Cloudmetrics

AU - Janssens, M.

PY - 2020/9/26

Y1 - 2020/9/26

N2 - An end-to-end implementation to download, characterise and analyse cloud field patterns in satellite observations, using metrics and principal component analysis

AB - An end-to-end implementation to download, characterise and analyse cloud field patterns in satellite observations, using metrics and principal component analysis

KW - Python

KW - clouds

KW - cloud field organisation

U2 - 10.6084/m9.figshare.12687731

DO - 10.6084/m9.figshare.12687731

M3 - Software

PB - Wageningen University & Research

ER -

Cloudmetrics

Abstract

Keywords

Access to Document

Fingerprint

Research output

Cloud Patterns in the Trades Have Four Interpretable Dimensions

Datasets

Compressed table of cloud field metrics computed for a dataset of satellite observations

Cite this