Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis
Roland Baatz, Harrie‐Jan Hendricks Franssen, E. S. Euskirchen, Debjani Sihi, Michael C. Dietze, Stefano Ciavatta, Katja Fennel, Hylke E. Beck, Gabriëlle De Lannoy, Valentijn Pauwels, Ann Raiho, Carsten Montzka, Mathew Williams, Umakant Mishra, Christian Poppe Terán, Steffen Zacharias, Angela Lausch, Luis Samaniego, Kris Van Looy, Heye Bogena, Mihai Adamescu, Michael Mirtl, A. M. Fox, Klaus Goergen, Bibi S. Naz, Yijian Zeng, Harry Vereecken
Abstract
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.