Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis

Baatz, R. ORCIDiD
Hendricks Franssen, H. J. ORCIDiD
Euskirchen, E. ORCIDiD
Sihi, D. ORCIDiD
Dietze, M. ORCIDiD
Ciavatta, S. ORCIDiD
Fennel, K. ORCIDiD
Beck, H. ORCIDiD
De Lannoy, G. ORCIDiD
Pauwels, V. R. N. ORCIDiD
Raiho, A. ORCIDiD
Montzka, C. ORCIDiD
Williams, M. ORCIDiD
Mishra, U.
Poppe, C. ORCIDiD
Zacharias, S. ORCIDiD
Lausch, A. ORCIDiD
Samaniego, L. ORCIDiD
Van Looy, K.
Bogena, H. ORCIDiD
Adamescu, M. ORCIDiD
Mirtl, M. ORCIDiD
Fox, A. ORCIDiD
Goergen, K. ORCIDiD
Naz, B. S. ORCIDiD
Zeng, Y. ORCIDiD
Vereecken, H. ORCIDiD

DOI: https://doi.org/10.1029/2020RG000715
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9886
Baatz, R.; Hendricks Franssen, H. J.; Euskirchen, E.; Sihi, D.; Dietze, M.; Ciavatta, S.; Fennel, K.; Beck, H.; De Lannoy, G.; Pauwels, V. R. N.; Raiho, A.; Montzka, C.; Williams, M.; Mishra, U.; Poppe, C.; Zacharias, S.; Lausch, A.; Samaniego, L.; Van Looy, K.; Bogena, H.; Adamescu, M.; Mirtl, M.; Fox, A.; Goergen, K.; Naz, B. S.; Zeng, Y.; Vereecken, H., 2021: Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis. In: Reviews of Geophysics, 59, 3, DOI: https://doi.org/10.1029/2020RG000715. 
 
Hendricks Franssen, H. J.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Euskirchen, E.; 3 University of Alaska Fairbanks Institute of Arctic Biology Fairbanks AK USA
Sihi, D.; 4 Department of Environmental Sciences Emory University Atlanta GA USA
Dietze, M.; 5 Earth and Environment Boston University Boston MA USA
Ciavatta, S.; 6 Plymouth Marine Laboratory Plymouth UK
Fennel, K.; 8 Department of Oceanography Dalhousie University Halifax NS Canada
Beck, H.; 9 Department of Civil and Environmental Engineering Princeton University Princeton NJ USA
De Lannoy, G.; 10 Department of Earth and Environmental Sciences KU Leuven Heverlee Belgium
Pauwels, V. R. N.; 11 Department of Civil Engineering Monash University Clayton VIC Australia
Raiho, A.; 12 Fish, Wildlife, and Conservation Department Colorado State University Fort Collins CO USA
Montzka, C.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Williams, M.; 13 School of GeoSciences and NCEO University of Edinburgh Edinburgh UK
Mishra, U.; 14 Bioscience Division Sandia National Laboratory Livermore CA USA
Poppe, C.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Zacharias, S.; 15 Department of Monitoring and Exploration Technologies UFZ Helmholtz Centre for Environmental Research Leipzig Germany
Lausch, A.; 16 Department Computational Landscape Ecology Helmholtz Centre for Environmental Research–UFZ Leipzig Germany
Samaniego, L.; 18 Department Computational Hydrosystems Helmholtz Centre for Environmental Research ‐ UFZ Leipzig Germany
Van Looy, K.; 19 OVAM, International Policy Unit Mechelen Belgium
Bogena, H.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Adamescu, M.; 20 Research Center for Systems Ecology and Sustainability University of Bucharest Bucharest Romania
Mirtl, M.; 15 Department of Monitoring and Exploration Technologies UFZ Helmholtz Centre for Environmental Research Leipzig Germany
Fox, A.; 21 Joint Center for Satellite Data Assimilation UCAR Boulder CO USA
Goergen, K.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Naz, B. S.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany
Zeng, Y.; 23 Faculty of Geo‐information Science and Earth Observation (ITC) University of Twente Enschede The Netherlands
Vereecken, H.; 1 Agrosphere Institute of Bio and Geosciences Forschungszentrum Jülich Jülich Germany

Abstract

A reanalysis is a physically consistent set of optimally merged simulated model states and historical observational data, using data assimilation. High computational costs for modeled processes and assimilation algorithms has led to Earth system specific reanalysis products for the atmosphere, the ocean and the land separately. Recent developments include the advanced uncertainty quantification and the generation of biogeochemical reanalysis for land and ocean. Here, we review atmospheric and oceanic reanalyzes, and more in detail biogeochemical ocean and terrestrial reanalyzes. In particular, we identify land surface, hydrologic and carbon cycle reanalyzes which are nowadays produced in targeted projects for very specific purposes. Although a future joint reanalysis of land surface, hydrologic, and carbon processes represents an analysis of important ecosystem variables, biotic ecosystem variables are assimilated only to a very limited extent. Continuous data sets of ecosystem variables are needed to explore biotic‐abiotic interactions and the response of ecosystems to global change. Based on the review of existing achievements, we identify five major steps required to develop terrestrial ecosystem reanalysis to deliver continuous data streams on ecosystem dynamics.


Plain Language Summary: A reanalysis is a unique set of continuous variables produced by optimally merging a numerical model and observed data. The data are merged with the model using available uncertainty estimates to generate the best possible estimate of the target variables. The framework for generating a reanalysis consists of the model, the data, and the model‐data‐fusion algorithm. The very specific requirements of reanalysis frameworks have led to the development of Earth‐compartment specific reanalysis for the atmosphere, the ocean and land. Here, we review atmospheric and oceanic reanalyzes, and in more detail biogeochemical ocean and terrestrial reanalyzes. In particular, we identify land surface, hydrologic, and carbon cycle reanalyzes which are nowadays produced in targeted projects for very specific purposes. Based on a review of existing achievements, we identify five major steps required to develop reanalysis for terrestrial ecosystem to shed more light on biotic and abiotic interactions. In the future, terrestrial ecosystem reanalysis will deliver continuous data streams on the state and the development of terrestrial ecosystems.


Key Points:

Reanalyzes provide decades‐long model‐data‐driven harmonized and continuous data sets for new scientific discoveries.

Novel global scale reanalyzes quantify the biogeochemical ocean cycle, terrestrial carbon cycle, land surface, and hydrologic processes.

New observation technology and modeling capabilities allow in the near future production of advanced terrestrial ecosystem reanalysis.