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Part 1: Document Description
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Citation |
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Title: |
Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10. |
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Identification Number: |
doi:10.26165/JUELICH-DATA/RZ0NDZ |
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Distributor: |
Jülich DATA |
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Date of Distribution: |
2025-09-25 |
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Version: |
2 |
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Bibliographic Citation: |
Herrera, David; Siegmann, Bastian; Rascher, Uwe; Belleflamme, Alexandre; Görgen, Klaus, 2025, "Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10.", https://doi.org/10.26165/JUELICH-DATA/RZ0NDZ, Jülich DATA, V2 |
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Citation |
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Title: |
Fluorescence Quantum Efficiency and accompanying SSWS and SSWSa Data for Germany 2018-05-2024-10. |
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Identification Number: |
doi:10.26165/JUELICH-DATA/RZ0NDZ |
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Authoring Entity: |
Herrera, David (FZJ/IBG-2) |
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Siegmann, Bastian (FZJ/IBG-2) |
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Rascher, Uwe (FZJ/IBG-2) |
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Belleflamme, Alexandre (FZJ/IBG-3) |
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Görgen, Klaus (FZJ/IBG-3) |
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Distributor: |
Jülich DATA |
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Access Authority: |
Grygosch, Lars |
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Access Authority: |
Herrera, David |
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Depositor: |
Herrera, David |
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Date of Deposit: |
2025-09-17 |
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Date of Distribution: |
2025-09-17 |
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Study Scope |
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Keywords: |
Agricultural Sciences, Earth and Environmental Sciences, Fluorescence Quantum Efficiency, TROPOMI, MODIS, Solar-Induced Fluorescence |
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Abstract: |
This dataset consists of daily data at 0.05° resolution of Germany from 2018-05 to 2024-10. The variables included are the Fluorescence Quantum Efficiency at leaf level (ΦF) (740 nm) as well as all variables included in the calculation of it. The comparison dataset of Subsurface Water Storage (SSWS) and its anomaly are also attached. Additionaly multiple support bands are included that give insight into the data quality of the ΦF and SIF product. Source SSWS and SSWSa dataset - doi:10.26165/JUELICH-DATA/GROHKP Source SIF data - https://data-portal.s5p-pal.com/products/troposif.html |
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Time Period: |
2018-05-01-2024-10-01 |
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Kind of Data: |
Remote Sensing Data |
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Kind of Data: |
Gridded raster Data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.3389/frwa.2023.1183642 |
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Bibliographic Citation: |
Belleflamme, A., Goergen, K., Wagner, N., Kollet, S., Bathiany, S., El Zohbi, J., Rechid, D., Vanderborght, J., Vereecken, H. (2023). Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany. Frontiers in Water, 5. doi: 10.3389/frwa.2023.1183642 |
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Label: |
phiF_SSWS_Germany_Metadata_MIAFPE_250725.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |