Environmental Data Platform

ST_GRIDDED_TIME_SERIES_TEMPERATURE

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

The product contains the gridded daily series of mean temperature at 250-m spatial resolution for the region Trentino – South Tyrol. The dataset currently spans the period 1980 – 2020, but it is expected to be regularly updated. It was obtained by applying an anomaly-based interpolation to the observations of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All station series 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/. Mean temperature was here defined as the daily average of maximum and minimum temperature. 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 (Crespi et al., 2020; https://doi.org/10.1594/PANGAEA.924502).

https://doi.org/10.1594/PANGAEA.924502

Dataset description details are available in the paper: Crespi et al., 2021 https://doi.org/10.5194/essd-13-2801-2021

Land use, Land cover, collection, Temperature, Daily, High-resolution

CC-BY-4.0

eurac research - Institute for Earth Observation
bartolomeo.ventura@eurac.edu
Viale Druso, 1 / Drususallee 1, eurac research, Bolzano, Autonomous Province of Bolzano, 39100, Italy


WGS-84 (3035:EPSG)

Grid

mapDigital

Imagery base maps earth cover

Snippet code
Copy to clipboard 
install.packages("openeo")
library(openeo)

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

# check login ---
con$isConnected()
con$isLoggedIn()
describe_account()

# load collection - save result ----
p = processes()
data = p$load_collection(id = "ST_GRIDDED_TIME_SERIES_TEMPERATURE", 
                                             spatial_extent = list(west = 10.342951,
                                                                                 east = 12.521853,
                                                                                 south = 45.65371,
                                                                                 north = 47.110924),
                                             temporal_extent = list("STARTTIME", "ENDTIME"))
result = p$save_result(data = data, format="netCDF")

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

# or start a batch job (suitable for larger requests)
job_id = create_job(graph = result,
                                   title = "ST_GRIDDED_TIME_SERIES_TEMPERATURE",
                                   description = "ST_GRIDDED_TIME_SERIES_TEMPERATURE",
                                   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_TEMPERATURE",spatial_extent={'west':10.342951,'east':12.521853,'south':45.65371,'north':47.110924},temporal_extent=["STARTTIME", "ENDTIME"])

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

# download results ----
# either directly (suitable for smaller requests, closes the connection after 2 minutes)
data.download("ST_GRIDDED_TIME_SERIES_TEMPERATURE.nc",format="netCDF")

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

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

jobResults = job.get_results()
jobResults.download_files('.')
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