This dataset contains scan data from the National Centre for Atmospheric Science Atmospheric Measurement Facility's mobile X-band radar during the Radar Applications in Northern Scotland (RAINS). The radar was deployed at Kinloss Barracks, near Forres in Moray, Scotland from January to August 2016.

This data file contains two sets of optimised global surface fluxes of ethane (C2H6), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. Emissions were produced using an iterative method of optimisation, known as 4D-Var, which minimised the model-observation differences. These surface fluxes are produced as monthly mean values on the (approximately) 5.6 degree horizontal model grid. The associated uncertainty for the flux from each gridcell is also included. The fluxes and uncertainties are global, and cover the period Jan 2008 - Dec 2014. There are two alternative emissions sets, labelled EMIS_ALL and EMIS_ANTH, whilst the uncertainties are labelled ERROR_ALL and ERROR_ANTH, respectively. The two optimised emission estimates are produced through iterative minimisation of model-observation error in INVICAT. In all cases the observations are surface flask samples of ethane produced by by the National Oceanic and Atmospheric Administration’s Global Monitoring Division (NOAA GMD) and the University of Colorado’s Institute of Arctic and Alpine Research (INSTAAR). Whole air samples in flasks are collected weekly to bi-weekly at each site and C2H6 is measured using gas chromatography with a flame ionization detection method. The EMIS_ALL fluxes are produced through variation of all surface emission types (anthropogenic, biomass burning, oceanic and biospheric), whilst the EMIS_ANTH fluxes are produced by only allowing the surface anthropogenic emissions to vary, with prior estimates of other emission types then added back on. Flux and uncertainty units are kg(C2H6)/m2/s, and time units are days since January 1st 2008. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in the PDF documentation stored along side this data, as well as in Monks et al., 2018.

This dataset contains v4.0 permafrost extent data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the third version of their Climate Research Data Package (CRDP v3). It is derived from a thermal model driven and constrained by satellite data. CRDPv3 covers the years from 1997 to 2021. Grid products of CDRP v3 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures (at 2 m depth) which forms the basis for the retrieval of yearly fraction of permafrost-underlain and permafrost-free area within a pixel. A classification according to the IPA (International Permafrost Association) zonation delivers the well-known permafrost zones, distinguishing isolated (0-10%) sporadic (10-50%), discontinuous (50-90%) and continuous permafrost (90-100%). Case A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2021 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2021 using a pixel-specific statistics for each day of the year.

This dataset includes the ECMWF-IFS4 model output prepared for SPECS SnowInit (2004-2014). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. Model id is IFS4 (atmosphere: IFS4(201505212,CY42R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, lakes, fixed glaciers (CY41R1, internal exp.id gd80, climate.v012); wave:WAM(CY41R1,1°); ozone:Cariolle(v2.9); climversion:climate.v012), no external forcing. frequency is daily and monthly. Daily Atmospheric variables are: clt pr psl rlut rsds tas tasmax tasmin tdps uas vas Monthly atmos variables: al clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg

This dataset includes the Met Office HadGEM3 model output prepared for SPECS SolarIrradiance(1960-2008). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. Model id is HadGEM3 (DePreSys2 HadGEM3 v3.0 (2014); atmosphere: UM (GA3.0) ; ocean: NEMO (v3.2, ORCA1) ; coupler: OASIS3 (v3); sea ice: CICE), frequency is monthly. Monthly atmos variables: clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut ta tas uas vas zg

Atmosphere and Ocean components; Frequency: daily and monthly Variables Atmosphere daily: tas uas vas zg500 Variables Atmosphere monthly: cl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs ta tauu ua va wap cli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind tas tauv uas vas zg500 Variables Ocean daily: rsdssi sic sit snc snd snw tsice usi vsi Variables Ocean monthly: htovovrt mlotst msftmyz rsdssi sic sit sltovovrt snd so sos thetao tos tsice uo vo

This dataset includes the Met Office DePreSys model output prepared for SPECS decadal (1960-2005). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. Model id is DePreSys3 (DePreSys3: HadGEM3-GC2 N216; atmosphere: UM (GA5.0) ; ocean: NEMO (v3.4, ORCA0.25) ; coupler: OASIS3 (v3.3); sea ice: CICE), frequency is daily and monthly. Daily Atmospheric variables are: pr psl tas Monthly atmos variables: hfls hfss mrso pr psl rls rlut rsdt rss rsut ta tas ua va zg Monthly seaIce variables: sic sit Ocean variables: tos

Data from the ETH-PMOD (Swiss Federal Institute of Technology Zurich and the Physical-Meteorology Observatory Davos) SOCOL3 model, part of the International Global Atmospheric Chemistry (IGAC)/Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative (CCMI-1). CCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Program (WCRP). The dataset includes data for the following CCMI-1 experiments: Reference experiments: ref-C1 and ref-C2. Sensitivity experiments: senC2fCH4, senC2CH4rcp85, senC2fEmis, senC2fN2O, senC2rcp26, senC2rcp45, senC2rcp85. ref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010). ref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases (GHGs), tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions. senC2CH4rcp85: Similar to ref-C2 but the methane surface-mixing ratio follows the RCP 8.5 scenario (Meinshausen et al., 2011), all other GHGs and forcings follow RCP 6.0. senC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value. senC2fEmis: Similar to ref-C2 but with surface and aircraft emissions fixed to their respective 1960 levels. senC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value. senC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). senC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). senC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011).

This data set consist of a single file which contains a set of optimised global surface fluxes of methane (CH4), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. These surface fluxes are produced as monthly mean values on the (approximately) 5.6-degree horizontal model grid. The associated uncertainty for the flux from each grid cell is also included. The fluxes and uncertainties are global and cover the period Jan 2010 - Dec 2018. The emissions from fossil fuels are labelled FF_FLUX, whilst the uncertainties are labelled FF_ERROR. The emissions from natural, agricultural and biomass burning sources are labelled NAT_FLUX, whilst the uncertainties are labelled NAT_ERROR. These two sectors (fossil fuel and non-fossil fuel) are solved for separately in the inversion. Flux and uncertainty units are kg(CH4)/m2/s, and time units are days since January 1st 2010. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in Wilson et al. (2020) in the documentation section.

This dataset includes the ECMWF-IFS4 model output prepared for SPECS aerosols (1992-2012). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. Model id is IFS4 (atmosphere: IFS4(20150701,CY42R1,N128TL255L91); ocean:NEMO3.4.1(L34E5,ORCA1_Z42,1°L42); seaice:N/A; MACC:N/A; land:CHTESSEL,ERA-Interim forcing, no lakes, no wave tiling (CY40R3, internal exp.id g3db, climate.v009); wave:WAM(CY42R1,1°); ozone:Cariolle(v2.9); climversion:climate.v012), forced with tropospheric sulphate climatology from HadGEM2-ES [Bellouin et al (2011): Aerosol forcing in the Climate Model Intercomparison Project (CMIP5) simulations by HadGEM2-ES and the role of ammonium nitrate, J. Geophys. Res., 116, D20206, doi:10.1029/2011JD016074] over different climate periods. frequency is daily and monthly. Daily Atmospheric variables are: clt pr psl rlut rsds tas tasmax tasmin tdps uas vas Monthly atmos variables: al clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut snld ta tas tasmax tasmin tdps uas vas zg