Data for Figure SPM.3 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure SPM.3 shows the synthesis of assessed observed and attributable regional changes in hot extremes, heavy precipitation and agricultural and ecological droughts and confidence in human contribution to the observed changes in the world’s regions. --------------------------------------------------- How to cite this dataset --------------------------------------------------- IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has three panels, with data provided for all panels in subdirectories named panel_a, panel_b and panel_c. --------------------------------------------------- List of data provided --------------------------------------------------- Panel a: Synthesis of assessment of observed change in hot extremes and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica. Panel b: Synthesis of assessment of observed change in heavy precipitation and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica. Panel c: Synthesis of assessment of observed change in agricultural and ecological drought and confidence in human contribution to the observed changes in the AR6 land-regions, excluding Antarctica. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- · Data file: panel_a/SPM3_panel_a.csv (AR6 world regions, observed change in hot extremes, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (red), [decrease](blue),[low agreement in type of change](white/grey),[limited data and/or literature](grey) . · Data file: panel_b/SPM3_panel_b.csv (AR6 world regions, observed change in heavy precipitation, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (green), [decrease](yellow),[low agreement in type of change](white/grey),[limited data and/or literature](grey) . · Data file: panel_c/SPM3_panel_c.csv (AR6 world regions, observed change in agricultural and ecological drought, confidence in human contribution); middle entry relates to the colour of the map, showing [increase] (yellow), [decrease](green),[low agreement in type of change](white/grey),[limited data and/or literature](grey) --------------------------------------------------- Sources of additional information --------------------------------------------------- The data in the files is an assessment of section 11.9 in chapter 11 that is provided in the second first two columns of the tables in that section.

The dataset contains concentrations of carbon dioxide and methane which were collected in discrete air samples during intensive seasonal campaigns in November 2011 and August 2012 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Tres Cruces, a montane grassland ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

Hourly measurement data for PAN (peroxyacetyl nitrate) mixing ratios in the atmosphere at a rural site at Bush Estate, Penicuik EH26 0QB (CEH Edinburgh), 15 km south of Edinburgh, from 1993 to 1999 in ppt (parts in 10^12). Measurements were made using a gas chromatograph with electron capture detector. Annual average concentrations were between 0.1 and 0.15 nl l-1, with episodes up to 3 nl l-1 in long-range transported polluted air. PAN concentrations were approximately log-normally distributed. The concentrations measured are the result of a balance between photochemical production rates and removal by thermal decomposition and dry deposition. There was a pronounced seasonal maximum in PAN concentrations in late spring, and a strong diurnal cycle only in April-June, with a maximum at 1700 h. Individual episodes, with concentrations up to 3 nl l-1, could be traced over distances of ca. 1000 km, with rapid changes in concentration as the prevailing winds advected polluted air masses across the site.

Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1. This dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Thrace Xanthi.

The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2017. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details. 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 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. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection.

Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1. This dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Aragats Research Station, Armenia.

This dataset contains air sample measurements of isotopic d13C methane. The measurements were collected using regular flask samples at Llanos de Moxos, Bolivia. The samples were analysed by Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). Date of campaign: -31 Mar 2017, location: -15.024 -64.811, Low to medium forest, with heights up to 7-8 meters, seasonally flooded -26 May 2017, location: -14.572 -64.869, Open savanah, ocassionally flooded, with palms and scattered trees -13 July 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs -20 Aug 2017, location: -14.49 -64.86, Open savanah covered by grasses and herbs 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 air sample measurements of the ratio between carbon 12: carbon 13 in atmospheric methane (d13C). The air samples measured were taken at the Ascension Islands on a regular basis using glass flasks. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). MS). This data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).

The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 23rd July 2011 and 8th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Villa Carmen, a premontane forest ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1. This dataset contains measurements of atmospheric electricity and electric potential gradient made using a EFM-100 Atmospheric Electric Field Monitor at Tripura University, India.