An updated global atmospheric paleo‐reanalysis covering the last 400 years. (4th May 2021)

• Record Type: Journal Article
• Authors: Valler, Veronika; Franke, Jörg; Brugnara, Yuri; Brönnimann, Stefan
• Is Part Of: Geoscience data journal. Volume 9:Number 1(2022)
• Page Start: 89
• Page End: 107
• Publication Date: 2021-05-04
• Subjects: climate reconstruction -- ensemble Kalman fitting -- paleoclimate data assimilation; Earth sciences -- Research -- Periodicals; Earth sciences -- Data processing -- Periodicals; Earth sciences -- Documentation -- Periodicals; 550.28557
• DOI: 10.1002/gdj3.121
• Languages: English
• ISSNs: 2049-6060

Abstract

Abstract: Data assimilation techniques are becoming increasingly popular for climate reconstruction. They benefit from estimating past climate states from both observation information and from model simulations. The first monthly global paleo‐reanalysis (EKF400) was generated over the 1600 and 2005 time period, and it provides estimates of several atmospheric fields. Here we present a new, considerably improved version of EKF400 (EKF400v2). EKF400v2 uses atmospheric‐only general circulation model simulations with a greatly extended observational network of early instrumental temperature and pressure data, documentary evidences and tree‐ring width and density proxy records. Furthermore, new observation types such as monthly precipitation amounts, number of wet days and coral proxy records were also included in the assimilation. In the version 2 system, the assimilation process has undergone methodological improvements such as the background‐error covariance matrix is estimated with a blending technique of a time‐dependent and a climatological covariance matrices. In general, the applied modifications resulted in enhanced reconstruction skill compared to version 1, especially in precipitation, sea‐level pressure and other variables beside the mostly assimilated temperature data, which already had high quality in the previous version. Additionally, two case studies are presented to demonstrate the applicability of EKF400v2 to analyse past climate variations and extreme events, as well as to investigate large‐scale climate dynamics. Abstract : This paper presents the EKF400v2 global monthly paleo‐reanalysis, generated with a paleoclimate data assimilation method, covering the last 400 years. The paleo‐reanalysis provides several climate fields such as temperature, precipitation and sea‐level pressure. We compare EKF400v2 to a previous version, describe the extended observational network, the model simulations and highlight the applied modifications to the assimilation system. The paleo‐reanalysis is evaluated in the 20th century, and two case studies demonstrate the usage of the dataset to investigate past climate variability.