TNO Picarro5310 ICOS NRT Level 1 N2O at 27m at Cabauw

Dataset: TNO Picarro5310 ICOS NRT Level 1 N2O at 27m at Cabauw
title	TNO Picarro5310 IN2OS NRT Level 1 N2O at 27m at Cabauw
description	Automatically-produced, daily-growing (by data object deprecation) data on molar fraction of atmospheric N2O. The data starts from the last respective L2 release.
type See Dataset Types' descriptions in Dataset type taxon descriptions	In-situ Observation
format	ASCII
served by data service	ICOS Data Portal
landing page	https://meta.icos-cp.eu/objects/BRYxf0p-sLlO178yR5DEeJzU
PID
license	CC BY 4.0
contact person	Arnoud Frumau
creator	Arnoud Frumau
organization	TNO

Geographic and Temporal Information
location	Cabauw
geographic coordinates	51.9703 N, 4.9264 E
elevation (meters)	0.00 m <br />
start date	2025-04-01
end date	2030-01-01
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Related Media to TNO Picarro5310 ICOS NRT Level 1 N2O at 27m at Cabauw

ICOS Near Real-Time (Level 1) Atmospheric Greenhouse Gas Mole Fractions of CO2, CO and CH4, growing time series starting from latest Level 2 release

Cabauw station follow the ICOS Atmospheric Station specification V2.0 (https://doi.org/10.18160/GK28-2188) and are certified as ICOS atmospheric stations Class I or II. Data processing has been performed as described in Hazan et al., 2016 (https://doi.org/10.5194/amt-9-4719-2016).

Frumau, A., Hensen, A. (2025). ICOS ATC NRT N2O growing time series from Cabauw (027.0 m), 2025-04-01–2025-07-08, ICOS RI, https://hdl.handle.net/11676/BRYxf0p-sLlO178yR5DEeJzU

Disclaimer: Near Real-Time (NRT, Level 1) data is not the final highest quality ICOS data. This data is generated using only completely automated quality control procedures. These NRT time series are generated within 24 hours after measurement and will not be updated later using improved information or become completed with missing data. For your analysis and publications we recommend to use the final completely quality controlled and flagged (Level 2) data that is released with a delay between 6-12 months, that includes all corrections and maximum completion of missing data