D2.2 Report on development of data assimilation methods

Birger Andersen, Bhupjit Singh, Christian Budtz, Ian Bridgwood, Emma Gaitán Fernández, Peter Fröhlich

Research output: Book/Report › Report › Commissioned

Abstract

In this report we describe the final data assimilation methods used for transferring data from physical sensors via processing points (e.g., image processing of satellite images and generation of weather forecasts) for finally to end up in storages/databases of the Nitrogen Sensor cloud core system. Also some data validation has been applied or suggested for future improvements. In the report we also documented an exhaustive test of the Atmos weather station which shown it to be a remarkable good weather station for the price. We described the weather forecast methods and also shortly the development of a new soil moisture sensor better than the on‐shelf soil moisture sensor.
Original languageEnglish
Number of pages73
Publication statusPublished - 2020

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  • Nitrogen Sensor for Soil Sustainability (demonstrator)

    Andersen, B. (Project Coordinator), Blaszczyk, T. (Project Participant), Kaur, B. (Project Participant), Bridgwood, I. (Project Participant), Ottosen, I. M. (Project Participant), Tahavori, M. (Project Participant), Flyger, C. (Project Participant), Kjærsgaard, N. (Project Participant), Singh, B. (Project Participant), Geismar, W. (Project Participant), Nordfalk, J. (Project Participant), Budtz, C. (Project Participant) & Lynggaard, P. (Project Participant)

    01/01/2019 → 31/12/2021

    Project: Research

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