Reconstructing tropical monthly sea surface temperature variability by assimilating coral proxy datasets
Abstrak
Abstract Coral reconstruction often serves as a major proxy of high-resolution sea surface temperature (SST) variability beyond the instrumental era. However, coral reconstructions are sparse and are usually studied for interannual variability, with few studies on the monthly features. In this study, we reconstruct the monthly SST spatial field by applying the paleoclimate data assimilation method to the coral records of the latest CoralHydro2k data set for the instrument period of 1880–2000. A comparison with observed SST variability shows that our assimilated tropical SST variability performs reasonably well for the seasonal cycle and monthly ENSO characteristics, notably the phase-locking and onset timing, and more realistic spatial fields relative to the model simulations. This study suggests the feasibility of applying paleoclimate data assimilation to reconstruct the monthly SST in the historical period.
Topik & Kata Kunci
Penulis (15)
Wenqing Hu
Liang Ning
Zhengyu Liu
Jian Liu
Fen Wu
Mi Yan
Leilei Jiang
Lili Lei
Fangmiao Xing
Haohao Sun
Kefan Chen
Yanmin Qin
Weiyi Sun
Qin Wen
Benyue Li
Akses Cepat
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.1038/s41612-024-00816-w
- Akses
- Open Access ✓