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 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).

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)

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.

HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided 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 contains level 2 version 6.00 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.

HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided 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 contains level 3 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.

Atmospheric Chemistry and Transport of Ozone in the upper troposphere-lower stratosphere (UTLS) (ACTO) campaign. This dataset contains model output potential vorticity and C-130 flight track plots.

The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section.

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.