Innovating Works

H2020

Cerrada
HORIZON-CL4-2023-SPACE-01-33
Copernicus in-situ component
Expected Outcome:Project results are expected to contribute to two or more of the following expected outcomes:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 28-03-2023.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

Expected Outcome:Project results are expected to contribute to two or more of the following expected outcomes:

Optimal use of early observations. Evaluation and assessment of past observing methods and environmental factors, and on error analysis, quality control and bias adjustment of the in situ historical record;Better access and wider use of Copernicus relevant observations and auxiliary data collected during R&I projects not easily recoverable and reusable for validation purposes in an operational context;Enhanced availability and quality of in situ and ground-based data critical for the production, calibration and validation of Copernicus products and data services;Appropriate consideration of Copernicus Services’ cross-cutting challenges and R&I priorities. Scope:The areas of R&I to be explored to help addressed the above expected outcomes include:

Facilitation and demonstration of efficient, methodologically sound and sustainable reuse of in situ data collected during field campaigns and experiments for validation of Copernicus data and information services.Development of innovative observation strategies and concepts to i... ver más

Expected Outcome:Project results are expected to contribute to two or more of the following expected outcomes:

Optimal use of early observations. Evaluation and assessment of past observing methods and environmental factors, and on error analysis, quality control and bias adjustment of the in situ historical record;Better access and wider use of Copernicus relevant observations and auxiliary data collected during R&I projects not easily recoverable and reusable for validation purposes in an operational context;Enhanced availability and quality of in situ and ground-based data critical for the production, calibration and validation of Copernicus products and data services;Appropriate consideration of Copernicus Services’ cross-cutting challenges and R&I priorities. Scope:The areas of R&I to be explored to help addressed the above expected outcomes include:

Facilitation and demonstration of efficient, methodologically sound and sustainable reuse of in situ data collected during field campaigns and experiments for validation of Copernicus data and information services.Development of innovative observation strategies and concepts to improve the observational capacity in selected data sparse areas. In the marine context, the gathering and qualification of acoustic observations to characterize marine ecosystems (e.g., micronekton) is an identified priority;Synergistic use of complementary types of surface observations, such as pCO2 and pH observations from research vessels, ships of opportunities and Argo to improve the estimation of air/sea fluxes of CO2;Application of machine learning technologies for the quality control of historic and real-time meteorological and hydrological in-situ observations; This approach should foster the exploitation of exiting in situ data capacities to close observation gaps in combination with new observing infrastructure and innovative processing/modelling techniques. The proposed developments should be interoperable, modular and scalable, should support the automatization of different processes orchestration, and proposals should provide a proof-of-concept or a prototype that can be easily adapted by at least one of the Copernicus Services and / or an observing network or similar delivering critical in situ data to Copernicus. The project shall demonstrate the applicability of the outcome for at least one of the Copernicus Services.

Depending on the selected area(s), relevant data providers, observing network operators, research infrastructures, and sensor manufactures should be involved in the proposal to the extent possible.

New in situ observation techniques and sensors should be considered and innovative solutions should be proposed for data collection, processing, quality control, and automation including the use of Artificial Intelligence and machine learning to ensure robust and non-biased high added value datasets.

In the selection of the topical scope of new-approaches to in-situ data and ground-based data collection, policy data needs should be considered, e.g. data needed for Green Deal monitoring, such as landscape features or parameters providing information on carbon farming.

Additionally, the transfer from research to operations should receive full attention during the course of the project to strengthen the readiness for an operational deployment in the future. This includes also cost estimates ensuring sustained operations. Appropriate interaction with the relevant Entrusted Entity of the Copernicus services, the conditions for making available, for re-using and exploiting the results (including IPR) by the said entities must be addressed during the project implementation. Developed software and collected observations should be open licensed.

Applicants are advised to consult information on the Copernicus programme in general at https://www.copernicus.eu/en and further details on the topic in the Guidance document.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.

ver menos

Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:
Empresas Micro, Pequeña, Mediana, Grande
Centros Tecnológicos
Universidades
Organismos públicos

Características del Proyecto

Requisitos de diseño: Duración: Requisitos técnicos: Expected Outcome:Project results are expected to contribute to two or more of the following expected outcomes: ¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 4:. Es el primer paso para determinar si los componentes individuales funcionarán juntos como un sistema en un entorno de laboratorio. Es un sistema de baja fidelidad para demostrar la funcionalidad básica y se definen las predicciones de rendimiento asociadas en relación con el entorno operativo final. leer más.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
0% 25% 50% 75% 100%
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Condiciones: No existe condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.