Abstract

SOURCE utility for reprocessing, calibration, and evaluation is a software designed for web applications that permits to calibrate and validate ocean models within a selected spatial domain using in-situ observations. Nowadays, in-situ observations can be freely accessed online through several marine data portals together with the metadata information about the data provenance and its quality. Metadata information and compliance with modern data standards allow the user to select and filter the data according to the level of quality required for the intended use and application. However, the available data sets might still contain anomalous data, bad data flagged as good, due to several reasons, i.e., the general quality assurance procedures adopted by the data infrastructure, the selected data type, the timeliness of delivery, etc. In order to provide accurate model skill scores, the SOURCE utility performs a secondary quality check, or re-processing, of observations through gross check tests and a recursive statistical quality control. This first and basic SOURCE implementation uses Near Real Time moored temperature and salinity observations distributed by the Copernicus Marine Environment and Monitoring Service (CMEMS) and two model products from Istituto Nazionale di Geofisica e Vulcanologia (INGV), the first an analysis and the second a reanalysis, distributed during CMEMS phase I for the Mediterranean Sea. The SOURCE tool is freely available to the scientific community through the ZENODO open access repository, consistent with the open science principles and for that it has been designed to be relocatable, to manage multiple model outputs, and different data types. Moreover, its observation reprocessing module provides the possibility to characterize temperature and salinity variability at each mooring site and continuously monitor the ocean state. Highest quality mooring time series at 90 sites and the corresponding model values have been obtained and used to compute model skill scores. The SOURCE output also includes mooring climatologies, trends, Probability Density Functions and averages at different time scales. Model skill scores and site statistics can be used to visually inspect both model and sensor performance in Near Real Time at the single site or at the basin scale. The SOURCE utility uptake allows the interested user to adapt it to its specific purpose or domain, including for example additional parameters and statistics for early warning applications.

Highlights

  • Ocean knowledge and its advancement depends partly on ocean observations and their availability to a wide users community for their use and reuse in generateing data products, applications and services

  • The SOURCE utility is written in Python, an interpreted programming language frequently adopted in the last decade because it is versatile, ease-to-use and fast to develop

  • The corresponding time series of residuals after the subtraction of seasonal and long term components are displayed in Figure 6B after each step of the Quality Control (QC) process, gross check and three statistical loops

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Summary

Introduction

Ocean knowledge and its advancement depends partly on ocean observations and their availability to a wide users community for their use and reuse in generateing data products, applications and services. The adoption of common standards and formats, together with the advent of marine data infrastructures and services, has improved the timeliness provision of ocean data which can be disseminated in Near Real Time (NRT) and fed into predictive models. This enables a rapid ocean state assessment. Ocean observation is one of the pillars of an integrated observation and prediction system, which provides data to develop and calibrate predictive models, to validate model results and to be assimilated in order to constrain the model solution close to reality. Numerical models drift from the true ocean state and to limit this problem data assimilation schemes incorporate observations constraining model solution

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