Environmental Data Platform


Go to full metadata Linkset {json} Linked data {json}

The product contains the gridded daily series of mean precipitation at 250-m spatial resolution for the region Trentino – South Tyrol. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database: https://edp-portal.eurac.edu/cdb_doc/. The climatologies refer to the averages over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.

collection, Precipitation, Daily, High-resolution, cct, Land use, Land cover


Eurac Research - Institute for Earth Observation
Viale Druso, 1 / Drususallee 1, Eurac Research, Bolzano, Autonomous Province of Bolzano, 39100, Italy

2020-01-01T12:00:00Z 2023-01-01T12:00:00Z

WGS-84 (3035:EPSG)



Imagery base maps earth cover

Snippet code
Copy to clipboard


# login ----
host = "https://openeo.eurac.edu"
con = connect(host = host)

# check login ---

# load collection - save result ----
p = processes()
data = p$load_collection(id = "ST_GRIDDED_TIME_SERIES_PRECIPITATION", 
                                             spatial_extent = list(west = 10.342951,
                                                                                 east = 12.521853,
                                                                                 south = 45.65371,
                                                                                 north = 47.110924),
                                             temporal_extent = list("2020-01-01T12:00:00Z", "2023-01-01T12:00:00Z"))
result = p$save_result(data = data, format="netCDF")

# download results ----
# either directly (suitable for smaller requests)
                             format = "netCDF",
                             output_file = "ST_GRIDDED_TIME_SERIES_PRECIPITATION.nc", 
                             con = eurac)

# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
                                   title = "ST_GRIDDED_TIME_SERIES_PRECIPITATION",
                                   description = "ST_GRIDDED_TIME_SERIES_PRECIPITATION",
                                   format = "netCDF")
start_job(job = job_id)
result_list = list_results(job = job_id)
download_results(job = job_id, folder = ".")
Copy to clipboard

#pip install openeo
import openeo

# login ----
euracHost        = "https://openeo.eurac.edu"
eurac = openeo.connect(euracHost).authenticate_oidc(client_id="openEO_PKCE")

# load collection - save result ----
data = eurac.load_collection("ST_GRIDDED_TIME_SERIES_PRECIPITATION",spatial_extent={'west':10.342951,'east':12.521853,'south':45.65371,'north':47.110924},temporal_extent=["2020-01-01T12:00:00Z", "2023-01-01T12:00:00Z"])

result = data.save_result(format="NetCDF")

# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)

# or start a batch job (suitable for larger requests, e.g. when .download() timeouts)

job = result.create_job(title = "ST_GRIDDED_TIME_SERIES_PRECIPITATION",description = "ST_GRIDDED_TIME_SERIES_PRECIPITATION",out_format = "netCDF")
jobId = job.job_id

jobResults = job.get_results()

Related docs
Name Description Link Date published Category
openEO for ADO project Tutorial and snippets on how to use openEO in the ADO project Link Sept. 15, 2021 OpenEO
EDP video tutorial Presentation of edp-platform and tutorial for data analysis and processing Link Sept. 15, 2021 OpenEO
Official OpenEO documentation and project site Official Documentation provided in the project web site for a deeper overview and introduction. Link June 10, 2021 OpenEO
OpenEO doc Documentation for OpenEO API Link June 9, 2021 OpenEO
Eurac - OpenEO openEO endpoint Link April 28, 2021 OpenEO
MOOC Cubes and Clouds Free Online Course teaching the concepts of data cubes, cloud platforms and open science in geospatial and EO. Link March 8, 2024 OpenEO, STAC