In the framework of the National Project of Interest Nextdata, we developed procedures for the automatic flagging and formatting of trace gas, atmospheric aerosol and meteorological data to be submitted to Global Atmosphere Watch programme by the World Meteorological Organization (WMO/GAW). In this work, we describe a first prototype of a centralized system to support Italian atmospheric observatories towards a more efficient and objective data production and subsequent submission to WMO/GAW World Data Centers (WDCs). In particular, the atmospheric variables covered by this work were focused on near-surface trace gases, aerosol properties and (ancillary) meteorological parameters which are under the umbrella of the World Data Center for Greenhouse Gases (WDCGG, see https://ds.data.jma.go.jp/gmd/wdcgg/), World Data Center for Reactive Gases and World Data Center for Aerosol (WDCRG and WDCA, see http://ebas.nilu.no). For different Essential Climate Variables (ECVs), we developed specific routines for data filtering, flagging, format harmonization and creation of data products (i.e. plot of raw and valid-corrected-averaged ECV data and internal instrument parameters) useful for detecting instrumental problems or atmospheric events. A special suite of products based on the temporal aggregation of valid ECV data (like the “calendar” or “timevariation” products) were implemented for quick data dissemination towards stakeholders or citizens. Generated Level-0, Level-1 and Level-2 files are formatted according to NASA-Ames standard. The list of flags adopted is defined in the framework of ACTRIS-2 project (see https://ebas-submit.nilu.no/Submit-Data/Data-Reporting/Templates/Category/). Three different data levels are produces according with WMO/GAW WCDRG and WCDA data reporting guidelines (see also https://ebas-submit.nilu.no/Submit-Data/Data-Reporting): • Level-0: annotated raw data; format instrument specific; contains all parameters provided by the instrument; contains all parameters/info needed for processing to final value; "native" time resolution; • Level-1: data processed to final parameter (calibration and correction implemented to data series), invalid data and calibration episodes removed, "native" time resolution, normalization to standard temperature and pressure (i.e., 273.15 K, 1013.25 hPa) if necessary; • Level-2: data aggregated to hourly averages, atmospheric variability quantified by standard deviation or percentiles. The automatic processing is executed by a set of three“R” scripts specifically designed for each instrument/ECV : • “D20” is the script devoted to the production of Level-0 data files • “D21” is the script devoted to the production of Level-1 and Level-2 data files • “D22” is the script devoted to the generation of data products All the developed scripts are virtually stand-alone and any hypotetical user, after installing an "R" environment, can use them on his/her own PC (both Linux or Windows) or server, for automatic and on-demand application. Of course, some activity of customization is needed by the users to properly set current directory paths, file names, etc etc. A dedicated script containing three R functions has also been implemented for managing numflag creation and aggregation. D20 and D21 scripts have been revised for inconsistencies within the header. Users are recommended to use the version "1907".

The SAR ground deformation time series relevant to Sampeyre frame include deformation data obtained from ASAR-Envisat satellite acquisitions (images available in the framework of Category-1A project, part of the ESA Geohazard Supersites initiative), and elaborated by the ESA’s G-POD service with the SBAS technique. In particular, the analysis provided 65535 measure points, for the observed period from April 2005 to October 2010, relative to the entire frame. The archive provide for each SBAS targets: - ID: Gr1; Gr2; Gr n - East and North UTM WGS84 coordinates (m); - Temporal interferometric coherence [CohT]; - Deformation velocity (cm/year) [Vel]; - Azimuth and Range coordinates [Az/Rg]; - Latitude and Longitude coordinates (deg) [Lat/Lon]; - Topography (m) [RT]; - Deformation Data (cm), related to the date of the exploited SAR images. The date of the exploited images are expressed as: [year+((month-1)*30+day)/365]. The SBAS results, relevant to the entire frame (normally around 100x100 km), have an accuracy of 1 mm/yr for mean velocity measurements, and 5 mm for the deformation measurements [Casu et al., 2006]. The deformation time series present a monthly temporal sampling, and provide long time series of deformation, allowing to follow the evolution of surface displacement over time.

This archive includes non polar ice cores information from Ortles glacier available in the DISAT GEOMATIC LAB repository. A total of 5 ice cores were taken from 2009 to 2011.

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This archive includes non polar ice cores information from Vernagtferner glaciers available in the DISAT GEOMATIC LAB repository. A total of 3 ice cores were taken in 1979.

Dataset containing available time series of annual and multi-annual mass balance measurements for monitored Italian glaciers.

The dataset contains measurements of the frontal variations of sample Italian glaciers monitored by Italian Glaciological Committee (CGI). Monitored glaciers are located in the Alpine chain (ca 300 glacial bodies) and in the Central Apennine (1). Source of data is based primarily on glaciological surveys coordinate by CGI and published in peer-reviewed journals or in WGMS publications (e.g., CGI, 1914–1977 and 1978–2011; Baroni et al., 2012, 2013,2014, 2015, 2016; WGMS 2014, 2015, 2016, 2017, 2018 and earlier issues). Dataset are organized in tabular form within a spreadsheet to allow a verification of the data and a subsequent construction of the relative time-distance curves (T-D curves). For each monitored glacier are furnished glacier name and inventory ID (according to CGI, WGI and WGMS) and geographic location. Metadata of common attributes of glacial resource datasets (GL_NAME, CGI_CODE, WGI_CODE, WGMS_ID, PART, SECTOR, SECT_SUBSEC, SUPERGROUP, GROUP, X_COORD, Y_COORD, MEAN_OR, YEAR) are described in "Italian glaciers multitemporal inventory V2".

The dataset contains measurements of the frontal variations of sample Italian glaciers monitored by Italian Glaciological Committee (CGI). Monitored glaciers are located in the Alpine chain (ca 300 glacial bodies) and in the Central Apennine (1). Source of data is based primarily on glaciological surveys coordinate by CGI and published in peer-reviewed journals or in WGMS publications (e.g., CGI, 1914–1977 and 1978–2011; Baroni et al., 2012, 2013,2014, 2015, 2016; WGMS 2014, 2015, 2016, 2017, 2018 and earlier issues). Dataset are organized in tabular form within a spreadsheet to allow a verification of the data and a subsequent construction of the relative time-distance curves (T-D curves). For each monitored glacier are furnished glacier name and inventory ID (according to CGI, WGI and WGMS) and geographic location. Metadata of common attributes of glacial resource datasets (GL_NAME, CGI_CODE, WGI_CODE, WGMS_ID, PART, SECTOR, SECT_SUBSEC, SUPERGROUP, GROUP, X_COORD, Y_COORD) are described in "Italian glaciers multitemporal inventory V2".

The field contains the longitude of the glacier in decimal degrees East GW. Longitude is given to a maximum precision of 3 decimal places. The information related to the '50s time step comes from the Inventory of the Italian glaciers edited by CNR-CGI (1959-1962), while for the other time steps (1988-1989, 2006-2007, 2015) is calculated through GIS techniques.

The sub-code of a glacier aims to uniquely identify a glacier body (defined as "child") derived from the fragmentation of a single glacial body ("parent") inventoried by the CNR-CGI 1959-1962 inventory. The new glacier (defined as "child") has in the database the code of the "parent" glacier, followed by a sub-code.