DOI: 10.5285/3a88f547-376d-4a7e-8817-9b5f9ccd5b82
title: Daily automated weather station (AWS) data from Climoor field site in Clocaenog Forest 2015-2016

description: This dataset combines daily automated weather station (AWS) from 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). These data are an extension for the Daily automated weather station dataset (1998-2015) for the time period July 2015 to August 2016. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data are recorded in minute intervals. Up to January 2016 the data were averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. Data collection, processing and quality checking was carried out by members of CEH Bangor staff.

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 with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. 
description: Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.  Data are then to 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.