Seuraa
Mohit Anand
Mohit Anand
Helmholtz Centre for Environmental Research - UFZ, Leipzig | TU Dresden
Vahvistettu sähköpostiosoite verkkotunnuksessa ufz.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Cross-validation strategy impacts the performance and interpretation of machine learning models
L Sweet, C Müller, M Anand, J Zscheischler
Artificial Intelligence for the Earth Systems 2 (4), e230026, 2023
272023
Performance of TAHMO Zurich Weather Station
M Anand, P Molnar
Institute of Environmental Engineering, D-Baug: ETH Zurich, Switzerland, 2018
42018
Daily streamflow prediction using an LSTM neural network in Alpine catchments
M Anand, P Molnar, N Peleg
EGU General Assembly Conference Abstracts, 21737, 2020
22020
Identifying compound weather drivers of forest biomass loss with generative deep learning
M Anand, FJ Bohn, G Camps-Valls, R Fischer, A Huth, L Sweet, ...
Environmental Data Science 3, e4, 2024
12024
Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere
M Anand, R Hamed, N Linscheid, PS Silva, J Andre, J Zscheischler, ...
Environmental Research Letters, 2024
2024
Defining error accumulation in ML atmospheric simulators
R Parthipan, M Anand, HM Christensen, JS Hosking, DJ Wischik
arXiv preprint arXiv:2405.14714, 2024
2024
Insights into weather-driven forest mortality with a cross-modal transformer
M Anand, L Sweet, FJ Bohn, G Camps-Valls, R Fischer, A Huth, ...
AGU Fall Meeting Abstracts 2023, B34B-07, 2023
2023
Identifying compound weather prototypes of forest mortality with β-VAE
M Anand, F Bohn, L Sweet, G Camps-Valls, J Zscheischler
EGU General Assembly Conference Abstracts, EGU-10219, 2023
2023
Model evaluation strategy impacts the interpretation and performance of machine learning models
L Sweet, C Müller, M Anand, J Zscheischler
EGU General Assembly Conference Abstracts, EGU-8479, 2023
2023
CUPofTEA: the Community Understanding Platform of Terrestrial Exchanges with the Atmosphere
A Renchon, P Weisenhorn, S Pal, O Briner, M Anand, VR Kotamarthi, ...
AGU Fall Meeting Abstracts 2022, B52H-0915, 2022
2022
Identifying drivers of extreme reductions in carbon uptake of forests with interpretable machine learning
M Anand, G Camps-Valls, J Zscheischler
EGU General Assembly Conference Abstracts, EGU22-12858, 2022
2022
Machine learning based spatio-temporal interpolation of soil moisture in an agricultural catchment
S Khurana, T Houben, P Ebeling, J Schmid, L Schmidt, M Anand, J Boog
AGU Fall Meeting Abstracts 2021, H55C-0775, 2021
2021
A global analysis of lagged coincidence of precipitation and temperature extremes
M Anand, E Bevacqua, J Zscheischler
AGU Fall Meeting Abstracts 2021, GC55D-0450, 2021
2021
Ecosystem vulnerability to compound extremes and disturbances in a changing climate
A Bastos, M Anand, J Andre, E Butler, F Garry, R Hamed, N Linscheid, ...
AGU24, 0
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Artikkelit 1–14