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  • The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2020. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset.

  • This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples on the Llanos de Moxos wetland near Trinidad, Bolivia. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). These data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).

  • This dataset contains tracks generated using a bespoke tracking algorithm developed within the BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon And Poles) project, identifying and linking upper-tropospheric vortices (described in Hunt et al, 2018, QJRMS - see linked documentation). This utilised data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'RCP85' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'Historical' and 'RCP45' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection. Western disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This is a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) on the 500 hPa layer. This differs from those tracks from the ECMWF Era-Interim data which were carried out on the 450-300 hPa layer. See linked documentation for details of the algorithms used. BITMAP was an Indo-UK-German project (NERC grant award NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. For further details on the project itself see the linked Project record.

  • This dataset contains hourly averaged 4-pi filter radiometer measurements of the rate constant of NO2 photolysis, j(JNO2) from both downwelling radiation (direct and diffuse radiation from the above atmosphere) and upwelling (diffuse radiation from the atmosphere below). Data are reported in s^-1. Measurements made at Auchencorth Moss (55ᵒ47’36” N, 3°14’41” W), for more information see http://www.auchencorth.ceh.ac.uk/. The instrument was situated in a clear section of the site, 3 m above ground level. The surface cover consisted of long grasses (~15 cm), often covered by frost/snow in the winter months (December - February). Data were collected between 2018/11/21 12:00 - 2019/11/20 23:00, using a j(NO2) 4-pi filter radiometer manufactured by Meteorologie Consult GmbH (MetCon) measuring broadband actinic flux between ~310-420 nm. The instrument was operated and data were collected by staff at the UK Centre for Ecology & Hydrology. Most of the missing data are between 2019/06/13-25, due to the instrument being relocated for calibration. Other incidences of missing data occur due to power cuts at the site and problems with the data collection. This data comprises the start of a long-term time series of filter radiometer measurements at Auchencorth Moss, in order to provide data access to evaluate j-values in current radiation models and parameterisations. The ongoing operation of the j(NO2) filter radiometer is supported by the UK Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

  • A time-series of leaf-level optical hyperspectral reflectance captured using a leaf-clip and handheld spectrometer for 17 herbaceous species typical of chalk grassland habitat in Kent UK, over 13 sampling dates in 2021. Data were collected using a non-imaging spectrometer manufactured by Spectra-vista Corporation fitted with a leaf-clip; capturing reflectance from 350 - 2500nm. Funded by NERC Grant NE/L002566/1.

  • This dataset contains PM10 concentration and composition measurements taken in Lak Si, Bangkok, Thailand. Particulate matter under 10 micrometres diametre in size (PM10) was collected in 24 hour and 72 hour samples in a rooftop site in Lak Si, Bangkok, Thailand using a Sven Leckel LVS3 PM10 sampler. Samples were weighed and analysed for concentrations of the following elements: Mg, Al, Ca, V, Cr, Mn, Fe, Co, Ni, Cu. Zn, As, Se, Mo, Cd, Sb, Ba and Pb. The data covered three seasons in Bangkok, hot, cool and rainy, from 5th March 2018 until 15th November 2018. Meteorological data was measured in the same location using a Gill Maximet 501 and Gill Maximet 100 weather station. Weather parameters measured included rainfall, wind speed, wind direction, pressure, relative humidity, temperature, dew point and solar radiation. Measurements were taken by the staff of the Toxicology group in the Chulabhorn Research Institute, Thailand and the Atmospheric Chemistry Research Group in the University of Bristol, UK as part of the NERC grant Ultrafine and Submicron Particles in the Urban Environment in Thailand.

  • This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples around Hong Kong Island. The samples were analysed Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). These data were collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).

  • This dataset contains Black carbon (BC) concentrations in ugm-3 measured with an Aethalometer model AE31 made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. The data has been corrected following the Weingartner method. Absorption coefficients were calculated following the Sandradewi model to determine biomass burning and fossil fuel contributions in Mm-1. The measurements were collected at a height of 4m. The data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.

  • The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2018. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. For further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.

  • This dataset includes black carbon mass and number concentrations measurements performed by the University of Manchester with a Single Particle Soot Photometer (SP2) made during the Pre- Monsoon and Post-Monsoon periods of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. The data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.