Published September 19, 2022 | Version 1
Dataset Open

High resolution solar irradiance variability climatology dataset part 1: direct, diffuse, and global irradiance

  • 1. Royal Netherlands Meteorological Institute (KNMI)
  • 2. Wageningen University & Research

Description

Dataset paper

See the official dataset description paper (preprint) over at Earth System Science Data.

Dataset description

High resolution surface solar irradiance observations from the Baseline Surface Radiation Network (BSRN) of Cabauw, the Netherlands. This dataset spans 10 years, from 2011-02 until 2020-12-31.

This dataset is the preprocessed 1 Hz observational record of direct, diffuse, and global horizontal irradiance, which is the basis for the official BSRN 1-minute dataset published at PANGAEA. Please refer to the official dataset for detailed metadata, instrument information, quality control flags, the full radiation balance and more (1 minute resolution). More information about the observational site Cabauw can be found at the Ruisdael Observatory website, and more general information about BSRN is published on ESSD.

Part 1 of 2

This dataset is the basis for an analysis of surface solar irradiance variability, derived variables, supplementary meteorological data, and quicklooks, available in part 2 here: https://doi.org/10.5281/zenodo.7092058

Usage disclaimer

While resampling this 1-Hz data to 1-minute, with the official BSRN quality flags, should reproduce an identical dataset to the official 1-minute BSRN dataset, this has not yet been validated for this version. When you require the most reliable version of the radiation measurements, where variability at a higher resolution than 1 minute is not of concern, please refer to the official BSRN dataset at PANGAEA.

Files

2011.zip

Files (1.6 GB)

Name Size Download all
md5:301fc2213ed09364a3f60fbe10267dfd
143.4 MB Preview Download
md5:67e1ce45ad9055102d01a8b2def6e11b
168.1 MB Preview Download
md5:19fe258288512fb7c9451a977c39a52b
165.7 MB Preview Download
md5:25e7451968896de35c26265dafa209f1
169.2 MB Preview Download
md5:afc3cfeb7865972e528cc515f1c80ac2
171.7 MB Preview Download
md5:79feb01f374233441e6064c508b4ccbd
171.0 MB Preview Download
md5:51d2535ef8aa3fd00e879b00ba1c992a
169.3 MB Preview Download
md5:fe208bba30d3161108b275c0efc66803
165.9 MB Preview Download
md5:77f6203bb5208322656da26975797e92
169.4 MB Preview Download
md5:8f65817a5d71e3e1b1be63251239e4f5
124.9 MB Preview Download

Additional details

Related works

Is documented by
Journal article: 10.5194/essd-2022-456 (DOI)
Dataset: 10.1594/PANGAEA.940531 (DOI)
Is source of
Dataset: 10.5281/zenodo.7092058 (DOI)