Identification

Title

Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest, UK, 2024

Abstract

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 for the AWS datasets 1999-2015, 2015-2016, 2016-2021, 2022-2023 and covering the time period January 2024 to December 2024. Data are logged in minute intervals, averaged to half-hourly. Data are sent from the field site to a UKCEH server. A working copy is created, quality assurance checks carried out and daily averages calculated from half-hourly records. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Note, the rainfall sensor was broken during this time period, but the column is kept in the datafile for consistency with previous data records. 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. Full details about this dataset can be found at https://doi.org/10.5285/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a

Resource type

dataset

Resource locator

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Environmental Monitoring Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

-3.479

East bounding longitude

-3.391

North bounding latitude

53.077

South bounding latitude

53.033

Temporal reference

Temporal extent

Begin position

2024-01-01

End position

2024-12-31

Dataset reference date

date type

publication

effective date

2025-03-04

date type

creation

effective date

2025-02-19

Frequency of update

Quality and validity

Lineage

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 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 performed at the end of each calendar year. Telemetered data were processed using R. Data were averaged to daily values and inspected visually. Erroneous values were removed taken into account the annual cycle. A .csv file was produced from the quality assessed data. 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.

Conformity

Conformity report

specification

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Reinsch, S., Hatton, J. (2025). Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest, UK, 2024. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a

Responsible organisations

Responsible party

organisation name

email address

enquiries@ceh.ac.uk

web address

https://orcid.org/0000-0003-4649-0677

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information