Type of resources
Available actions
Topics
Provided by
Years
Formats
Representation types
Update frequencies
status
Scale
Resolution
-
Period in use: 1996 January - 2012 December Product Name: 1108 W/GEN (#136) Manufacturer: Dasibi Corporation Period in use: 2013 January - present Product name: Thermo Tei 49i (#1225011092) Manufacturer: Thermo Scientific
-
The field contains the description of glacier form, according to the lineguide of WGI (WGMS, 1989; source: http://nsidc.org/data/docs/noaa/g01130_glacier_inventory/).
-
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 map identifies the geographic distribution of marine sediment cores. For single core can be downloaded, in a shape file format, the following data: sampling device, water depth, core length, year, data source holder, vessel name and cruise name. Moreover, a high resolution map, in a jpg format, can also be downloaded.
-
Dataset containing available time series of annual and multi-annual mass balance measurements for monitored Italian glaciers.
-
The Ivancich Inclinometer 113 is located inside the landslide at about 460 m asl, and is located in a 32,3 m deep borehole. The inclinometer probe measures tilt of two orthogonal axes “A” and “B”; in particular is read the measure corresponding to the axes inclination (θ). The conversion from angular values to displacement occurs through trigonometric function. The sine function, i.e. the angular value, is derived from the value produced by sensors, in general for measure between +/-15° from the vertical. The angle θ is the inclination angle from vertical, the hypotenuse is the pace of the probe, i.e. the measuring range, or step of readings (generally 0.5 m), while the opposite side is the lateral “deviation”. The lateral displacements are calculated at each depth; for convention this value is called “lateral deviation”. The sum of successive lateral deviation is called “cumulative deviation”. The cumulative deviation variations define the inclinometer tube displacement. The incremental displacement represents the variation from each measurement interval. The cumulative displacement is the sum of the incremental displacements. The common inclinometers data graphs showing the displays cumulative lateral deformation with depth, starting at the bottom of the casing and summing increments of displacement for each measured interval up to the ground surface. The inclinometer 113 time series provide data for the observed period from November 1998 to December 2006, and are organized as follows: Depth (m): measured interval from the bottom of the casing up to the ground surface (0,5 m step) Data: gg/mm/aaa Raw data A0 – A180 – B0 – B180: numbers recorded by the probe corresponding to the values of the tube inclination relative to the vertical, projected on the planes A and B; the measure unit is expressed in digit (electrical value). CheckSum A and B: add of the two values obtained in diametrically opposite direction at the same depth. The checksums produce a constant value, where a low standard deviation would confirm data quality. Lateral deviation A – B – Resultant: lateral displacements are calculated at each depth Cumulative deviation SA – SB – Resultant: sum of successive lateral deviation Differential Lateral Deviation A Diff – B Diff – Resultant Diff: incremental displacement represents the variation from each measurement interval Cumulative Displacement SAInt Diff – SB Int Diff – Resultant Ins Diff: sum of the incremental displacements. The main feature of the inclinometer 113 are: Inclinometer Tube Internal Diameter – 76.1 mm Probe type – Sinco Digitilt Inclinometer (P/N 50302510 S/N 28447) Probe unit – meter Probe constant – 25000 sinα Probe Type – Biaxial Probe Sensors – Servoinclinometers Shallowest depth: 1 m Deepest Depth: 32.3 m Reading Interval: 0.5 m A0 Direction: N220 Height of the reference plan (P.R.) relative to campaign plan (p.c.): +0.20 m Depth probe relative to p.c.: 32.30 m
-
The total area is the area of the glacier measured in a horizontal projection in square kilometers
-
Field contains the mean orientation of the glacier, centered on cardinal points (N, NW, W, SW, S, SE, E, and NE).). 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 defined through GIS techniques.
-
The code of the glaciers following the Inventory of the Italian Glaciers edited by Italian Glaciological Commettee (CGI) and National Research Council (CNR) and published in four volumes between 1959 and 1962. To the few glaciers not inventoried in this work, a new code has been attributedaccording to the CGI's rules for glacier classification.
-
This database consists of monthly temporal series of cumulated precipitation over the 1951-2012 period for any box of dimension 30 arc-second x 30 arc-second over the Paneveggio - Pale di San Martino National Park. The database has been realized with the anomaly method, based on the assumption that the spatio-temporal structure of the signal of a meteorological variable over a specific area can be described by the superimposition of two fields: the normals over a given reference period (i.e. the climatologies) and the departures from them (i.e. the anomalies). The formers are strongly linked to the geographical features of the territory and they can manifest remarkable spatial gradients. The most relevant aspect for their description is the availability of high-density observational dataset integrated by interpolation methods which describe the relationship between the meteorological variable and the physiographical characteristics of the Earth’s surface. Differently, the latter are linked to climate variability and change and they are generally characterized by higher spatial coherence where the priority for their description lies in data quality and in the availability of long records. Data are provided as a direct-access binary file together with the corresponding info file containing the following information: Row 1 longitude resolution (XSTEP) Row 2 latitude resolution (YSTEP) Row 3 number of rows per temporal step (NROWS) Row 4 number of columns (NCOLS) Row 5 no data code (NODATA) Row 6 longitude of the central point of the upper left grid box (ULXCUT) Row 7 latitude of the central point of the upper left grid box (ULYCUT) Row 8 record length in bytes (BANDROWBYTES) Row 9 file name Row 10 starting year Row 11 ending year Row 12 variable type The total number of temporal steps is 744.
NextDATA