This dataset contains surface temperature measurements from the University of Leeds' two Heitronics KT15.85 infra red radiative temperature sensors mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record. Both instruments were mounted to point to starboard, but instrument 1 pointing 45 degrees forward and instrument 2 pointing 45 degrees aft, taking raw measurements at 1Hz. The data contain both the raw measured temperature (t_meas) and a corrected value, adjusted for reflection of thermal radiation from surface. The correction follows that developed by Phil Hignett for a similar sensor on the UK Met Office C130 aircraft : MRF Tech note 28, 1988. The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat. ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud. The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.

This dataset contains surface air temperature (T) and relative humidity (RH) measurements from the Meteorologiska Institutionen Stockholms Universitet (MISU) Rotronic T/RH sensor mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record. Measurements were made at 1 Hz frequency and this dataset was prepared for archiving by Ian Brooks, University of Leeds. The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat. ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud. The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.

This dataset contains humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel for the Iceland Greenland seas Project (IGP). The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)

This dataset contains surface temperature measurements from the University of Leeds Heitronics KT15.85 infra red radiative temperature sensor mounted at a 1.5-metre mast on an ice floe during the ice camp period of the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects. Both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic. AO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings. These data consist of quality controlled measurements at 1s. The UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).

HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. HIRDLS was an mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provides sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS). This dataset collection contains data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument. The instrument provides high vertical resolution information despite the fact that the optical beam is partially obstructed between the scan mirror and the aperture, probably by a piece of inner lining material that became detached during launch. HIRDLS science-team members have produced correction algorithms that make use of the partial view of the atmosphere (vertical scans around azimuth angle of 47 degree line of sight to the orbital plane, on the side away from the sun). In spite of this anomaly, HIRDLS has retained most of its scientific capabilities to support the Aura Mission. HIRDLS was carried on the Aura mission, part of NASA's Earth Observing System (EOS). Aura was launched on 15th July 2004 at 11:01:59 a.m. BST from Vandenberg Air Force Base, California.

This dataset contains information on how variations on temperature and photoperiod affects poplar seedling growth in Eco chambers. Plants were propagated on sterile media (1/2MS, 0.7% Agar, 1mg/L IAA) by cutting the shoot tip and 3-4 leaves and placing them in a weck jar on new medium. Once the explants rooted after incubation at 200 mmol light, 21C day/18C night, long day conditions (16:8) and ambient humidity, they were transplanted onto soil (6:2:1 Peat-free: sand-vermiculite, fertilizer: 4 g/L Osmocote exact standard 15-9-12) and grown first under protective covers and then open in 24C, long day conditions (LD), 65% humidity, 350mmol light (experiments R1-3) or transferred into the Eco chamber (temperature as indicated in experiment, 80-98% humidity, 350mmol LED light, long day conditions). After 3-4 weeks, plants of R1-R3 were transferred in the conditions described in the experiment (R1: 24C SD vs 15C LD; R2: 15C SD vs 15C LD; R3: 15C LD vs 24C LD) and grown for a month before moving them into 5C low light conditions which resulted in senescence and leaf drop. Eco chamber plants were grown in the Eco chamber for about four weeks and after not showing senescence, harvested directly after the experiment without cold incubation. All plants were measured in height and diameter (6cm above soil), leaf number and area regularly and gas exchanged was measured with a TARGAS-1 instrument (Hansatech) at 500mmol light intensity. After the experiment, cross-sections were taken and embedded in resin for further microscopic analysis (data not ready and not included). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/46c23be6-63ba-400d-859b-050dcb207898

The UK Climate Projections 2009 (UKCP09) projections of temperature from low, medium and high emissions scenarios' equivalent global temperature changes. They are probabilistic climate predictions based on families of runs of the Met Office Hadley Centre climate models HadCM3, HadRM3 and HadSM3, plus climate models from other climate centres contributing to IPCC AR4 and CMIP3. The equivalent changes in global temperatures are taken from three emissions scenarios: low (IPCC SRES: B1), medium (IPCC SRES: A1B), and high (IPCC SRES: A1FI). Each scenario provides estimates over seven 30 year period averages: 2010-2039, 2030s = 2020-2049, 2040s = 2030-2059, 2050s = 2040-2069, 2060s = 2050-2079, 2070s = 2060-2089, 2080s = 2070-2099. Temperature changes are given relative to 1961-1990.

The Central England Temperature (HadCET) seasonal series starts in 1659 for mean temperature and 1878 for minimum and maximum temperature. These historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London). The seasonal temperature series are derived as the mean of the monthly temperature series values. Stations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick Stations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College The current station selection used is Rothamsted, Stonyhurst and Pershore College. The dataset is compiled by the Met Office Hadley Centre. Latest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html). The version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated. The CET datasets employ the following version control protocol: Version Vx.y.z.a: • x – major changes – e.g. change in scientific methodology • y – minor changes – e.g. small bug fixes or updates to diagnostics pages • z – incremental changes • a – reserved for use internally The standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial changes have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release). This new version of the datasets supersedes the previous version.

The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature. These historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London). Prior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent. Although the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used. Stations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick Stations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College The current station selection used is Rothamsted, Stonyhurst and Pershore College. For more information on the change in station selection, please refer to the papers supplied with the data collection. The dataset is compiled by the Met Office Hadley Centre. Latest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html). The version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated. The CET datasets employ the following version control protocol: Version Vx.y.z.a: • x – major changes – e.g. change in scientific methodology • y – minor changes – e.g. small bug fixes or updates to diagnostics pages • z – incremental changes • a – reserved for use internally The standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial changes have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release). This new version of the datasets supersedes the previous version.

The Central England Temperature (HadCET) daily mean series is anchored to Gordon Manley’s original temperature record prior to 1973. Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use. These historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London). From 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation. These static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. Urbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time. This dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections. Stations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick Stations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College The current station selection used is Rothamsted, Stonyhurst and Pershore College. The dataset is compiled by the Met Office Hadley Centre. Latest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html). The version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated. The CET datasets employ the following version control protocol: Version Vx.y.z.a: • x – major changes – e.g. change in scientific methodology • y – minor changes – e.g. small bug fixes or updates to diagnostics pages • z – incremental changes • a – reserved for use internally The standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial changes have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release). This new version of the datasets supersedes the previous version.