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Dataset Title:	Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - Livorno
Institution:	INGV, Darts Engineering Srl (Dataset ID: ingv-lasomma_srs_rainfall_livorno)
Range:	time = 2025-07-30T17:47:00.000Z to 2025-12-01T20:54:00.000Z
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.75389762e+9, 1.76462244e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  srs_id {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 860813077988637, 860813077988637;
    String long_name "Srs Id";
  }
  srs_sat_id {
    String long_name "Srs Sat Id";
  }
  rain_level {
    Float32 actual_range 0.0, 45.0863;
    String long_name "Rain Level";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "Each SRS sensor performs 64 signal-power measurements per minute and transmits their one-minute average to the central system. Rainfall retrieval and map updates are therefore produced at a frequency of 1 minute.";
    String acquisition_methodology "Each SRS sensor performs 64 measurements per minute of the received microwave signal power  in the Ku-band using a standard parabolic antenna. The one-minute average is sent to the central SRS server, where the signal is converted into microwave signal power (dBm) and filtered through a denoising procedure to remove noise contributions. Every minute, the system updates the clear-sky reference level  through an adaptive statistical method and computes the rain-induced specific attenuation  by comparing the current signal with the reference and normalizing by the rain-affected path length. This path length is estimated from the antenna height, satellite geometry, and the melting-layer height, updated hourly using open meteorological models. Rainfall intensity is then retrieved by inverting the standard microwave propagation relationship follow the ITU-R P.838 model and depend on frequency and polarization.";
    String acquisition_mode "Data are acquired and processed in near real time. Each SRS sensor transmits averaged measurements every minute, and the central system performs real-time signal conversion, denoising, reference-level estimation, and rainfall retrieval with a latency of only a few seconds to minutes.";
    String cdm_data_type "Grid";
    String contributors_email "a.delucchi@artys.it";
    String contributors_name "Delucchi, Alessandro";
    String contributors_orcid "0000-0002-4998-4691";
    String contributors_role "System development";
    String Conventions "CF-1.8";
    String creator_email "m.colli@artys.it";
    String creator_name "Colli, Matteo";
    String creator_orcid "0000-0002-5165-4827";
    String creator_type "person";
    String data_format_original "CSV";
    String data_version "Version 1.0 (Portal release date: 29/09/2025)";
    String documentation "https://indra.artys.it/INGVRAISE/index.html; https://raise-spoke3.s4raise.it/project01";
    String geospatial_lat_max "43.5724";
    String geospatial_lat_min "43.4902";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "10.3601";
    String geospatial_lon_min "10.2392";
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:31:56Z (local files)
2026-04-03T04:31:56Z https://erddap.s4raise.it/tabledap/ingv-lasomma_srs_rainfall_livorno.das";
    String infoUrl "https://indra.artys.it/INGVRAISE/index.html";
    String inspire "Oceanographic geographical features";
    String institution "INGV, Darts Engineering Srl";
    String institution_country "IT, IT";
    String keywords "Earth Science > Atmosphere > Precipitation (1532E590-A62D-46E3-8D03-2351Bc48166A), Earth Science > Spectralengineering > Microwave (66700628-2B62-4466-999E-Faeb15Ca4Da5), environmental monitoring, hydrometeorology, Instruments > Earth Remote Sensing Instruments (6015ef7b-f3bd-49e1-9193-cc23db566b69), microwave links, nowcasting, precipitation, precipitation measurements, rainfall, rainfall intensity, real-time monitoring, remote sensing";
    String keywords_vocabulary "GEMET";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "lasomma";
    String owner "Darts Engineering Srl";
    String owner_url "info@artys.it";
    String project_code "RAISE";
    String project_id "ECS00000035";
    String project_name "Robotics and AI for Socio-economic Empowerment";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5)";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String source "Rainfall intensity is derived from the real-time analysis of signal attenuation detected by SRS along each point-to-point observation link. The system operates continuously, generating time series and spatial rainfall fields at high temporal and spatial resolution. No model-generated precipitation data are used beyond the physical retrieval algorithm intrinsic to the microwave attenuation method.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String summary "The SRS (Smart Rainfall System) dataset originates from a dense network of microwave sensors designed for satellite down-links and developed by the University of Genoa together with Artys and Darts Engineering (Genoa, Italy). By analysing the attenuation of satellite signals received by standard parabolic antennas, the system retrieves real-time estimates of rainfall intensity along each observation link and produces high-resolution precipitation maps over the monitored area. The resulting dataset provides continuous time series of rainfall intensity and cumulative precipitation (15 minutes, 1-2-8-12, 24 hours), enabling detailed spatio-temporal characterization of rainfall dynamics.";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2025-12-01T20:54:00.000Z";
    String time_coverage_start "2025-07-30T17:47:00.000Z";
    String title "Real-time rainfall intensity and cumulate precipitation maps by SRS - Smart Rainfall System - Livorno";
    String visibility "public";
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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