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0:34:26
Agriculture and land use - part3
0:48:01
Agriculture and land use - part1
0:27:05
Agriculture and land use - part2
1:20:36
From theory to practice to derive an assessment of climatic impact-drivers
1:15:23
Real-time tsunami data assimilation (Part II)
0:45:19
Data assimilation of volcanic clouds (Part II)
0:44:59
Solving larger seismic inverse problems with smarter methods (Part I)
0:41:59
Solving larger seismic inverse problems with smarter methods (Part II)
0:44:26
Understanding and predicting geomagnetic secular variation via data assimilation (Part I)
0:47:33
Understanding and predicting geomagnetic secular variation via data assimilation (Part II)
0:47:21
Real-time tsunami data assimilation (Part I)
0:42:00
Data assimilation of volcanic clouds (Part I)
0:51:40
Inverse methods in the era of machine learning and deep learning (Part I)
0:45:33
Data assimilation and machine learning in models of lava dynamics (Part I)
0:40:32
Inverse methods in the era of machine learning and deep learning (Part II)
0:47:47
Data assimilation and inverse modelling of atmospheric trace constituents (Part I)
0:52:44
Data assimilation and inverse modelling of atmospheric trace constituents (Part II)
1:06:40
Data assimilation and machine learning in models of lava dynamics (Part II)
0:43:50
Data analysis and modeling in the evolution of the solar cycle period (Part I)
0:47:47
Data assimilation methods in geodynamical models (Part I)
0:52:44
Data assimilation methods in geodynamical models (Part II)
0:51:35
Data analysis and modeling in the evolution of the solar cycle period (Part II)
0:48:08
Data assimilation in hydrological sciences (Part II)
0:46:55
Some new trends and old sessions in geophysical inversion (Part II)
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