Climate Change Tower Turbulence Data

The Climate Change Tower Integrated Project (CCT-IP) represents the guide lines of the italian research in the arctic and aims to study the interaction between all the components of the climate system in the Arctic. The Amundsen-Nobile Climate Change Tower (CCT) is the key infrastructure of the project, and provides continuous acquisition of the atmospheric parameters at different heights as well as at the interface between the surface and the atmosphere.

Turbulent parameters are measured at the Amundsen-Nobile Climate Change Tower (CCT) by means of a Gill R3 sonic anemometer installed at 7.5 m from the ground since 2010. It measures the three components of the wind (u, v and w) and the sonic temperature at a rate of 20 Hz. These micro-meteorological measurements are complemented by standard meteorological ones at 4 levels: 2, 5, 10 and 33 m (acquisition time step equal to 1 minute). From these measurements, sensible heat flux, friction velocity and roughness length are calculated.

Wind components and sonic temperature measurements were used to estimate friction velocity and kinematic heat flux. Before computing the micrometeorological parameters, a preliminary analysis is applied in order to assess the data quality and to remove low quality records. After the quality analysis application, mean values of the turbulence statistics were computed following two coordinate rotations to ensure the mean lateral and vertical velocities were zero (McMillen, 1988). Half-hour turbulent statistics (heat fluxes and friction velocity) were derived using two time-scales: a standard averaging time of 30 min and a reduced one (2 min) necessary for filtering out submeso motions contributions that can greatly alter the estimation of turbulent fluxes in a strong and long-lived stable BL. The short averaging time scale was evaluated on the basis of spectral analysis of data in order to include all turbulent scales, but excluding submeso motions (larger than turbulence). The turbulent statistics evaluated over the short subsets and then re-averaged over 30 min following Vickers and Mahrt (2006).

Turbulent parameter relative to unfavorable wind direction ([150÷270] degrees) for which the tower was upwind of the sonic anemometer were not discarded but are flagged (flagdir=1) in the final dataset. More, the percentage of NaNs relative to each run is indicated.

The wind speed vertical profile measured by slow response standard meteorological anemometers at 2, 5, 10 and 33 m was used for estimating the roughness length assuming a typical log wind profile under statically neutral conditions.

Mahrt, L., 1998. Flux Sampling Errors for aircraft and towers. J. Atmos. Ocean. Technol. 15, 416-429.

Mc Millen, R.T., 1988. An Eddy correlation technique with extended applicability to non-simple terrain. Boundary-Layer Meteorol. 43, 231-245.

Vickers D, Mahrt L. 2006. A solution for flux contamination by mesoscale motions with very weak turbulence. Boundary-Layer Meteorol. 118: 431–447. https://doi.org/10.1007/s10546-005-9003-y.

Zahn, E., Chor, T.L., Dias, N. L., 2016. A Simple Methodology for Quality Control of Micrometeorological Datasets. American Journal of Environmental Engineering 6(4A): 135-142 DOI: 10.5923/s.ajee.201601.20.

Date (Creation): 2022-11-15

Date (Publication): 2022-11-15

Date (Revision): 2022-11-15

Citation identifier: https://metadata.iadc.cnr.it/geonetwork/srv/api/records/2cdf599e-5f25-4065-9e1f-821b17ee2dc8

Purpose: These boundary layer (BL) parameters describe the interaction of the mean flow with the surface and the energy and momentum exchanges with the atmosphere. Apart from being essential to the definition of the stability function in the Monin-Obukhov similarity theory, these local measurements can be used in meteorological or climatological reanalyzes (e.g. ERA5). Further, global and regional climate models are extremely sensitive to a correct representation of atmospheric energy fluxes, especially over snow-covered polar surfaces, where atmospheric conditions can become strongly and persistently stable.

Status: On going

Point of contact

Organisation name	Individual name	Electronic mail address	Role
CNR-ISP	Angelo Pietro Viola	angelopietro.viola@cnr.it	Principal investigator
CNR-ISP	Mauro Mazzola	mauro.mazzola@cnr.it	Principal investigator
CNR-ISP	Vito Vitale	vito.vitale@cnr.it	Point of contact
CNR-ISAC	Daniela Cava	d.cava@isac.cnr.it	Author
CNR-ISAC	Luca Mortarini	l.mortarini@isac.cnr.it	Author
CNR-ISAC	Francesco Tampieri	f.tampieri@isac.cnr.it	Author

Maintenance and update frequency: As needed

Theme

SIOS

GEMET - INSPIRE themes, version 1.0

Atmospheric conditions

GCMD - Science Keywords

AIR TEMPERATURE
BOUNDARY LAYER WINDS
HUMIDITY
ATMOSPHERIC PRESSURE
SURFACE WINDS
TURBULENCE
ATMOSPHERIC WINDS
BOUNDARY LAYER TEMPERATURE
SURFACE ROUGHNESS
HEAT FLUX

GCMD - Instruments

Hygrometers
BAROMETERS
THERMOMETERS
SONIC ANEMOMETER
ANEMOMETERS

GCMD - Locations

SVALBARD AND JAN MAYEN
ARCTIC

GCMD - Providers

ITALY

IADC Research Activities

Chemistry and physics of the atmosphere

Use limitation: Creative-Commons CC BY-NC-SA 4.0

Code: IADC Italian Arctic Data Center

Association Type: dependency

Initiative Type: Project

Spatial representation type: Text, table

Denominator: 1

Language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 2009-10-15

End date: 2050-12-31 Now

Unique resource identifier: WGS84

Distribution format

Name	Version
ISO19139	1

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
IADC	IADC	info@iadc.cnr.it	Distributor

Digital transfer options

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--link	https://metadata.iadc.cnr.it/geonetwork/srv/api/records/2cdf599e-5f25-4065-9e1f-821b17ee2dc8	Landing page
WWW:LINK-1.0-http--opendap	https://data.iadc.cnr.it/erddap/tabledap/turbulence_cct	OPeNDAP URL
WWW:DOWNLOAD-1.0-http--download	https://data.iadc.cnr.it/erddap/tabledap/turbulence_cct.nc	NetCDF Direct Download
WWW:LINK-1.0-http--link	https://www.researchinsvalbard.no/project/20000000-0000-0000-0000-000000006507/project-info	Project RIS

Hierarchy level: Dataset

Domain consistency

Conformance result

Title: COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Explanation: This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services

Pass: Yes

Statement: Wind components and sonic temperature measurements were used to estimate friction velocity and kinematic heat flux. Before computing the micrometeorological parameters, a preliminary analysis is applied in order to assess the data quality and to remove low quality records. After the quality analysis application, mean values of the turbulence statistics were computed following two coordinate rotations to ensure the mean lateral and vertical velocities were zero (McMillen, 1988). Half-hour turbulent statistics (heat fluxes and friction velocity) were derived using two time-scales: a standard averaging time of 30 min and a reduced one (2 min) necessary for filtering out submeso motions contributions that can greatly alter the estimation of turbulent fluxes in a strong and long-lived stable BL. The short averaging time scale was evaluated on the basis of spectral analysis of data in order to include all turbulent scales, but excluding submeso motions (larger than turbulence). The turbulent statistics evaluated over the short subsets and then re-averaged over 30 min following Vickers and Mahrt (2006).

Turbulent parameter relative to unfavorable wind direction ([150÷270] degrees) for which the tower was upwind of the sonic anemometer were not discarded but are flagged (flagdir=1) in the final dataset. More, the percentage of NaNs relative to each run is indicated.

Metadata

File identifier: 2cdf599e-5f25-4065-9e1f-821b17ee2dc8 XML

Metadata language: English

Character set: UTF8

Hierarchy level: Dataset

Date stamp: 2025-05-12T14:24:58

Metadata standard name: ISO 19139

Metadata standard version: 1.0

Metadata author

Organisation name	Individual name	Electronic mail address	Role
CNR	Mauro Mazzola	mauro.mazzola@cnr.it	Point of contact

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