From 1 - 10 / 174
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    ID number is assigned to the glacier as defined by the WGMS convention The WGI code (or ID) is a 12-character unique glacier identifier. The ID number is assigned to the glacier as defined by the WGMS convention that forms the glacier ID number by combining the five following elements: i) 2-character political unit; ii) 1-digit continent code; iii) 4-character drainage code; iv) 2-digit free position code; v) 3-digit local glacier code. Source: http://nsidc.org/data/docs/noaa/g01130_glacier_inventory/

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

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    The dataset can be considered as snapshots of the state of Italian glaciers each relating to specific hydrological period, containing information for all the glaciers hosted on the Italian Alps and on Central Apennine (Ghiacciaio del Calderone). Dataset containing both vectorial and multitemporal quantitative inventory data of Italian glaciers (2015, 2006-2007,1988-1989 hydrological periods) include geographic location, area, length, orientation, elevation, and classification. Source of data is based primarily on the new generation of orthorectified aerial photos at high resolution provided by the National Geoportal of the Ministry of Environment and Protection of Land and Sea and by regional geportal, through Web Map Services (WMS).

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    This archive includes non polar ice cores information from Piz Zupò, Bernina Massive, available in the DISAT GEOMATIC LAB repository. Two ice cores were taken in 2002

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    An integrating nephelometer (M9003 ECOTECH) is used to measure the aerosol scattering coefficient at 525 nm since May 2007.

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    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 script for NOx has been revised by optimizing the order of flagging cycle. D20 and D21 scripts have been revised for inconsistencies within the header. Users are recommended to use the version "1907".

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    A virtual time series of meteorological parameters and solar radiation at the Capo Granitola WMO/GAW observatory is integrated by measurements from a Vaisala WXT520 integrated weather station and a net radiometer Kipp & Zonen CNR-4

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    The project proposed by the Milano Bicocca (UNIMIB) research unit will investigate aspects of current Alpine glaciation through observations and glaciological measurements, mass balance calculations, and geophysical and geodetic investigation. In particular, the UNIMIB research unit will be responsible for studying the evolution of glaciers from a physical and dynamic perspective. This archive includes non polar ice cores information from Colle del Lys available in the DISAT GEOMATIC LAB repository. A total of 3 different ice core were recovered in 2003 on Colle del Lys, Monte Rosa, Italy.

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    The minimum width of the glacier in a horizontal projection in kilometers

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    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".