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Xu Shan
Xu Shan
PhD in TU Delft
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
N15News: A New Dataset for Multimodal News Classification
Z Wang, X Shan, J Yang
arXiv preprint arXiv:2108.13327, 2021
242021
Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network
X Shan, S Steele-Dunne, M Huber, S Hahn, W Wagner, B Bonan, ...
Remote Sensing of Environment 279, 113116, 2022
82022
Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations …
X Shan, S Steele-Dunne, S Hahn, W Wagner, B Bonan, C Albergel, ...
Remote Sensing of Environment 308, 114167, 2024
2024
Joint assimilation of ASCAT backscatter and slope into the ISBA land surface model at ISMN stations over Western Europe
X Shan, S Steele-Dunne, S Hahn, W Wagner, B Bonan, C Albergel, ...
EGU General Assembly Conference Abstracts, EGU-8489, 2023
2023
Seven Frozen Trees in Sodankyla: Relating ASCAT slope to water and carbon processes over a Boreal forest using in-situ, model and reanalysis data
M Vreugdenhil, S Steele-Dunne, X Shan, T Kaminski, M Aurela, ...
EGU23, 2023
2023
Supporting Earth System Prediction Through Assimilation of ASCAT Slope
S Steele-Dunne, X Shan, W Wagner, M Vreugdenhil, S Hahn, B Bonan, ...
103rd AMS Annual Meeting, 2023
2023
Assimilating ASCAT backscatter and slope into land surface model: case studies at ISMN stations in Europe
X Shan, SC Steele-Dunne, S Hahn, W Wagner, B Bonan, C Albergel, ...
Fall Meeting 2022, 2022
2022
ASCAT Slope: A Direct Radar Observable to Constrain Fast and Slow Processes in the Terrestrial Carbon Cycle
M Vreugdenhil, S Steele-Dunne, A Petchiappan, X Shan, T Kaminski, ...
2022
Constraining plant water dynamics in land surface model by assimilating ASCAT dynamic vegetation parameters
X Shan, S Steele-Dunne, M Huber, S Hahn, W Wagner, B Bonan, ...
EGU22, 2022
2022
Towards constraining water and carbon cycle processes with radar data through assimilation
X Shan, S Steele-Dunne, M Huber, S Hahn, W Wagner, B Bonan, ...
AGU Fall Meeting Abstracts 2021, B13B-08, 2021
2021
Prediction of rainfall anomalies during the dry to wet transition season over the Southern Amazonia using machine learning tools
X Shan, K Zhang, Y Zhuang, R Fu, Y Hong
AGU Fall Meeting Abstracts 2017, A24D-06, 2017
2017
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Articles 1–11