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Reinsch, S.; Brooks, M.; Emmett, B.A.

Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 2016-2021

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This dataset is available under the terms of the Open Government Licence

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https://doi.org/10.5285/0ebfc33b-0da2-4329-aac7-69ed8925b979
This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees).

Data is an extension of the daily AWS datasets for 1999-2015 and 2015-2016, for the time period September 2016 to December 2021. Data were recorded in minute intervals, averaged to half-hourly, then to daily means which are reported here. Data which were not recorded are marked with “NA”, faulty data were replaced with “-9999”. Data collection, processing and quality checking was carried out by members of CEH and UKCEH staff.

The following measures were taken with sensors from Campbell Scientific: Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed were recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.

The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.
Publication date: 2022-12-07
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Temporal information

Temporal extent
2016-09-01    to    2021-12-31

Provenance & quality

Data were recorded every minute, then automatically averaged to half-hourly data by the data-logger. The half-hourly data were transferred from loggers at the field site onto UKCEH Bangor servers via a remote telemetry. Each morning, the previous day’s data was transferred to the server. Data were then averaged to daily values. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data into daily averages. Data was then cut and pasted into raw data files. Data here is collated raw data and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out.

The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.

Data was transferred from the raw data files into comma separated value files for transfer into the Environmental Information Data Centre.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Reinsch, S.; Brooks, M.; Emmett, B.A. (2022). Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 2016-2021. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/0ebfc33b-0da2-4329-aac7-69ed8925b979

Correspondence/contact details

Reinsch, S.
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Authors

Reinsch, S.
UK Centre for Ecology & Hydrology
Brooks, M.
UK Centre for Ecology & Hydrology
Emmett, B.A.
UK Centre for Ecology & Hydrology

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
climatologyMeteorologyAtmosphere
INSPIRE theme
Environmental Monitoring Facilities
Keywords
climate change , heathland , meteorology , UK , UK-SCAPE , Wales
Funding
Natural Environment Research Council Award: NE/R016429/1
Last updated
27 February 2024 16:23