| Dataset Title: | AMIS_DigTwin_Massa_griglia_utm32n_original
|
| Institution: | Consorzio LaMMA (Dataset ID: amis_digtwin_massa_griglia_utm32n_original) |
| Information: | Summary
| License
| Metadata
| Background
| Data Access Form
| Files
|
X range:
|
Attributes {
ny {
Int32 actual_range 0, 616;
String ioos_category "Location";
String long_name "indice di griglia ny";
String units "count";
}
nx {
Int16 actual_range 0, 566;
String ioos_category "Location";
String long_name "indice di griglia nx";
String units "count";
}
globalx {
UInt32 _ChunkSizes 617, 567;
String axis "X";
String ioos_category "Location";
String long_name "x coordinate of projection";
String standard_name "projection_x_coordinate";
String units "m";
}
globaly {
UInt32 _ChunkSizes 617, 567;
String axis "Y";
String ioos_category "Location";
String long_name "y coordinate of projection";
String standard_name "projection_y_coordinate";
String units "m";
}
NC_GLOBAL {
String _NCProperties "version=2,netcdf=4.9.3,hdf5=1.14.6";
String amis_file_origine "/DATA/DATI_AMIS/massa/aree_allagate/erddap_ready/utm/zs_max_rcp45_2050_ssh_020_hs_200_utm32n_cf.nc";
String amis_griglia "griglia originale del modello XBeach, curvilinea e ruotata: gli assi nx, ny sono indici di griglia; le coordinate dei punti sono nelle variabili globalx, globaly (metri)";
String amis_sistema_coordinate "UTM 32N (EPSG:32632): file della vista utm/ della catena AMIS di Massa (scripts/amis_prepare_utm_cf.py)";
String amis_sito "Massa";
String Build_Date "Fri Jan 16 13:15:32 UTC 2026";
String Build_Revision "6139M";
String CDI "Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)";
String cdm_data_type "Grid";
String CDO "Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)";
String Conventions "CF-1.4, COARDS, ACDD-1.3";
String creator_name "Consorzio LaMMA";
String creator_type "institution";
String creator_url "https://www.lamma.toscana.it/";
String history
"Mon May 11 08:28:27 2026: cdo timmax -selname,zs /home/xbeach/dt_runs/runs/rcp45_2050/rcp45_2050_ssh020_hs200/rcp45_2050_ssh_020_hs_200.nc /home/xbeach/dt_runs/output_inviluppo/zs_max_rcp45_2050_ssh_020_hs_200.nc
Prepared for ERDDAP CF publication: UTM EPSG:32632
2026-11-15T00:13:05Z (local files)
2026-11-15T00:13:05Z https://erddap.lamma.toscana.it/griddap/amis_digtwin_massa_griglia_utm32n_original.das";
String infoUrl "https://www.lamma.toscana.it/";
String institution "Consorzio LaMMA";
String keywords "AMIS, Digital Twin, griglia, Massa, XBeach";
String license
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
String Producer "XBeach littoral zone wave model (http://www.xbeach.org)";
String project "AMIS Digital Twin";
String sourceUrl "(local files)";
String summary "AMIS Digital Twin, Massa: coordinate UTM 32N (globalx, globaly) della griglia del modello, comune a tutti gli scenari: collocano gli indici nx, ny dei dataset Massa *_utm32n_original.";
String title "AMIS_DigTwin_Massa_griglia_utm32n_original";
String URL "URL: https://svn.oss.deltares.nl/repos/xbeach/tags/2023-10-31-XBeach-v1.24.6057-Halloween_BETA";
}
}
Data Access Protocol (DAP)
and its
projection constraints
.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),
followed by [(start):stride:(stop)]
(or a shorter variation of that) for each of the variable's dimensions
(for example, [time][latitude][longitude]).
For details, see the griddap Documentation.