Multi-Sensor Bayesian Data Assimilation for Large-Scale Drought Monitoring System (MuSe-BDA)

Informazioni relative al progetto

MuSe-BDA

ID dell’accordo di sovvenzione: 101068561

DOI

10.3030/101068561

Progetto chiuso

Data della firma CE 1 Agosto 2022

Data di avvio 8 Settembre 2022

Data di completamento 7 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 254 333,99

Coordinato da

AALBORG UNIVERSITET
Denmark

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Pubblicazioni

Peer reviewed articles (3)

Science of the Total Environment

Autori: Forootan, Ehsan; Mehrnegar, Nooshin; Schumacher, Maike; Schiettekatte, Leire; Jagdhuber, Thomas; Farzaneh, Saeed; van Dijk, Albert; Shamsuddha, Mohammed; Shum, C.K.
Pubblicato in: Science of The Total Environment, 2024, ISSN 0048-9697
Editore: Elsevier
DOI: 10.1016/j.scitotenv.2023.169476

Sustained Water Storage in Horn of Africa Drylands Dominated by Seasonal Rainfall Extremes

Autori: Markus Adloff, Michael Bliss Singer, David A. MacLeod, Katerina Michaelides, Nooshin Mehrnegar, Eleanor Hansford, Chris Funk, Daniel Mitchell
Pubblicato in: Geophysical Research Letters, Numero 49, 2023, ISSN 0094-8276
Editore: American Geophysical Union (AGU)
DOI: 10.1029/2022GL099299

Water Resources Research

Autori: Nooshin Mehrnegar; Maike Schumacher; Thomas Jagdhuber; Ehsan Forootan
Pubblicato in: Water Resources Research, 2023, ISSN 0043-1397
Editore: American Geophysical Union
DOI: 10.1029/2023wr034544

Conference proceedings (2)

AssimEO - Berechnung des Gesamtwasserdargebots für die Pflanzenproduktion durch Assimilation von Erdbeobachtungsdaten

Autori: Carsten Montzka, Anke Fluhrer, Thomas Jagdhuber, Shirin Moradi, Haojin Zhao, David Mengen, Maike Schumacher, Ehsan Forootan, Nooshin Mehrnegar
Pubblicato in: 2023
Editore: DLR

How Can a Hierarchical Bayesian Approach Bridge the Gap Between Multi-Source Remote Sensing Data and Hydrological Models?

Autori: Nooshin mehrnegar, Ehsan forootan
Pubblicato in: 2025
Editore: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-16974