Articles | Volume 11, issue 1
Earth Syst. Dynam., 11, 201–234, 2020
https://doi.org/10.5194/esd-11-201-2020
Earth Syst. Dynam., 11, 201–234, 2020
https://doi.org/10.5194/esd-11-201-2020

Research article 25 Feb 2020

Research article | 25 Feb 2020

Earth system data cubes unravel global multivariate dynamics

Miguel D. Mahecha et al.

Related authors

Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions
Christopher Krich, Mirco Migliavacca, Diego G. Miralles, Guido Kraemer, Tarek S. El-Madany, Markus Reichstein, Jakob Runge, and Miguel D. Mahecha
Biogeosciences, 18, 2379–2404, https://doi.org/10.5194/bg-18-2379-2021,https://doi.org/10.5194/bg-18-2379-2021, 2021
Short summary
Vegetation modulates the impact of climate extremes on gross primary production
Milan Flach, Alexander Brenning, Fabian Gans, Markus Reichstein, Sebastian Sippel, and Miguel D. Mahecha
Biogeosciences, 18, 39–53, https://doi.org/10.5194/bg-18-39-2021,https://doi.org/10.5194/bg-18-39-2021, 2021
Short summary
Ecosystem physio-phenology revealed using circular statistics
Daniel E. Pabon-Moreno, Talie Musavi, Mirco Migliavacca, Markus Reichstein, Christine Römermann, and Miguel D. Mahecha
Biogeosciences, 17, 3991–4006, https://doi.org/10.5194/bg-17-3991-2020,https://doi.org/10.5194/bg-17-3991-2020, 2020
Short summary
Summarizing the state of the terrestrial biosphere in few dimensions
Guido Kraemer, Gustau Camps-Valls, Markus Reichstein, and Miguel D. Mahecha
Biogeosciences, 17, 2397–2424, https://doi.org/10.5194/bg-17-2397-2020,https://doi.org/10.5194/bg-17-2397-2020, 2020
Short summary
Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach
Christopher Krich, Jakob Runge, Diego G. Miralles, Mirco Migliavacca, Oscar Perez-Priego, Tarek El-Madany, Arnaud Carrara, and Miguel D. Mahecha
Biogeosciences, 17, 1033–1061, https://doi.org/10.5194/bg-17-1033-2020,https://doi.org/10.5194/bg-17-1033-2020, 2020
Short summary

Related subject area

Dynamics of the Earth system: concepts
The half-order energy balance equation – Part 1: The homogeneous HEBE and long memories
Shaun Lovejoy
Earth Syst. Dynam., 12, 469–487, https://doi.org/10.5194/esd-12-469-2021,https://doi.org/10.5194/esd-12-469-2021, 2021
Short summary
The half-order energy balance equation – Part 2: The inhomogeneous HEBE and 2D energy balance models
Shaun Lovejoy
Earth Syst. Dynam., 12, 489–511, https://doi.org/10.5194/esd-12-489-2021,https://doi.org/10.5194/esd-12-489-2021, 2021
Short summary
A dynamical systems characterization of atmospheric jet regimes
Gabriele Messori, Nili Harnik, Erica Madonna, Orli Lachmy, and Davide Faranda
Earth Syst. Dynam., 12, 233–251, https://doi.org/10.5194/esd-12-233-2021,https://doi.org/10.5194/esd-12-233-2021, 2021
Short summary
Synchronized spatial shifts of Hadley and Walker circulations
Kyung-Sook Yun, Axel Timmermann, and Malte F. Stuecker
Earth Syst. Dynam., 12, 121–132, https://doi.org/10.5194/esd-12-121-2021,https://doi.org/10.5194/esd-12-121-2021, 2021
Short summary
ESD Ideas: The Peclet number is a cornerstone of the orbital and millennial Pleistocene variability
Mikhail Y. Verbitsky and Michel Crucifix
Earth Syst. Dynam., 12, 63–67, https://doi.org/10.5194/esd-12-63-2021,https://doi.org/10.5194/esd-12-63-2021, 2021
Short summary

Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003. a, b
Afonso, J. C., Salajegheh, F., Szwillus, W., Ebbing, J., and Gaina, C.: A global reference model of the lithosphere and upper mantle from joint inversion and analysis of multiple data sets, Geophys. J. Int., 217, 1602–1628, https://doi.org/10.1093/gji/ggz094, 2019. a
Appel, M. and Pebesma, E.: On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library, Data, 4, 92, https://doi.org/10.3390/data4030092, 2019. a, b
Ariza-Porras, C., Bravo, G., Villamizar, M., Moreno, A., Castro, H., Galindo, G., Cabera, E., Valbuena, S., and Lozano, P.: CDCol: A geoscience data cube that meets colombian needs, in: Advances in Computing, CCC 2017, Communications in Computer and Information Science, vol. 735, edited by: Solano, A. and Ordoñez, H., Springer, Cham, 87–99, 2017. a
Asmaryan, S., Muradyan, V., Tepanosyan, G., Hovsepyan, A., Saghatelyan, A., Astsatryan, H., Grigoryan, H., Abrahamyan, R., Guigoz, Y., and Giuliani, G.: Paving the way towards an armenian data cube, Data, 4, 117, 2019. a
Download
Short summary
The ever-growing availability of data streams on different subsystems of the Earth brings unprecedented scientific opportunities. However, researching a data-rich world brings novel challenges. We present the concept of Earth system data cubes to study the complex dynamics of multiple climate and ecosystem variables across space and time. Using a series of example studies, we highlight the potential of effectively considering the full multivariate nature of processes in the Earth system.
Altmetrics
Final-revised paper
Preprint