E-LIB Suche - Ergebnisse für: Kraft, Basil

1

DeepPhenoMem V1.0: deep learning modelling of canopy greenn..:

Liu, Guohua ; Migliavacca, Mirco ; Reimers, Christian...
Geoscientific Model Development. 17 (2024) 17 - p. 6683-6701 , 2024

Link: https://doi.org/10.5194/..

2

Constraining biospheric carbon dioxide fluxes by combined t..:

Upton, Samuel ; Reichstein, Markus ; Gans, Fabian...
Atmospheric Chemistry and Physics. 24 (2024) 4 - p. 2555-2582 , 2024

Link: https://doi.org/10.5194/..

3

Diagnosing modeling errors in global terrestrialwater stora..:

Lee, Hoontaek ; Jung, Martin ; Carvalhais, Nuno...
Hydrology and Earth System Sciences. 27 (2023) 7 - p. 1531-1563 , 2023

Link: https://doi.org/10.5194/..

4

Contrasting Drought Propagation Into the Terrestrial Water ..:

Li, Wantong ; Reichstein, Markus ; O, Sungmin...
Earth's Future. 11 (2023) 7 - p. , 2023

Link: https://doi.org/10.1029/..

5

Hybrid modeling of evapotranspiration: inferring stomatal a..:

ElGhawi, Reda ; Kraft, Basil ; Reimers, Christian...
Environmental Research Letters. 18 (2023) 3 - p. 034039 , 2023

Link: https://doi.org/10.1088/..

6

Deep learning and hybrid modeling of global vegetation and ..:

Kraft, Basil , 2022

Link: http://nbn-resolving.de/..

7

Towards hybrid modeling of the global hydrological cycle:

Kraft, Basil ; Jung, Martin ; Körner, Marco..
Hydrology and Earth System Sciences. 26 (2022) 6 - p. 1579-1614 , 2022

Link: https://doi.org/10.5194/..

8

Identifying Dynamic Memory Effects on Vegetation State Usin..:

Kraft, Basil ; Jung, Martin ; Körner, Marco...
Frontiers in Big Data. 2 (2019) - p. , 2019

Link: https://doi.org/10.3389/..

9

Predicting Landscapes from Environmental Conditions Using G..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

Requena-Mesa, Christian ; Reichstein, Markus ; Mahecha, Miguel.. - p. 203-217 , 2019

Link: https://doi.org/10.1007/..

10

Constraining biospheric carbon dioxide fluxes by combined t..:

Upton, Samuel ; Reichstein, Markus ; Gans, Fabian...
https://edepot.wur.nl/652830. , 2024

Link: https://research.wur.nl/..

11

CH-RUN: A data-driven spatially contiguous runoff monitorin..:

Kraft, Basil ; Schirmer, Michael ; Aeberhard, William H...
https://doi.org/10.5194/egusphere-2024-993. , 2024

Link: https://doi.org/10.5194/..

12

DeepPhenoMem V1.0: Deep learning modelling of canopy greenn..:

Liu, Guohua ; Migliavacca, Mirco ; Reimers, Christian...
https://doi.org/10.5194/egusphere-2024-464. , 2024

Link: https://doi.org/10.5194/..

13

Constraining biospheric carbon dioxide fluxes by combined t..:

Upton, Samuel ; Reichstein, Markus ; Gans, Fabian...
Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324. , 2024

Link: https://doi.org/10.5194/..

14

Constraining biospheric carbon dioxide fluxes by combined t..:

Upton, Samuel ; Reichstein, Markus ; Gans, Fabian...
doi:10.5194/egusphere-2023-805. , 2024

Link: https://doi.org/10.5194/..

15

Constraining biospheric carbon dioxide fluxes by combined t..:

Upton, Samuel ; Reichstein, Markus ; Gans, Fabian...
doi:10.5194/acp-24-2555-2024. , 2024

Link: https://doi.org/10.5194/..