Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Song, Zhaoyang; Latif, Mojib; Park, Wonsun; Zhang, Yuming (2018): Influence of model bias on simulating North Atlantic sea surface temperature during the mid-Pliocene. PANGAEA, https://doi.org/10.1594/PANGAEA.889380, Supplement to: Song, Z et al. (2018): Influence of Model Bias on Simulating North Atlantic Sea Surface Temperature During the Mid-Pliocene. Paleoceanography and Paleoclimatology, https://doi.org/10.1029/2018PA003397

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
Climate models generally underestimate the pronounced warming in the sea surface temperature (SST) over the North Atlantic during the mid-Pliocene that is suggested by proxy data. Here, we investigate the influence of the North Atlantic cold SST bias, which is observed in many climate models, on the simulation of mid-Pliocene surface climate in a series of simulations with the Kiel Climate Model. A surface freshwater-flux correction is applied over the North Atlantic, which considerably enhances simulation of North Atlantic Ocean circulation and SST under present-day conditions. Using reconstructed mid-Pliocene boundary conditions with closed Bering and Arctic Archipelago Straits, the corrected model depicts significantly reduced model-proxy SST discrepancy in comparison to the uncorrected model. A key factor in reducing the discrepancy is the stronger and more sensitive Atlantic Meridional Overturning Circulation and poleward heat transport. We conclude that simulations of mid-Pliocene surface climate over the North Atlantic can considerably benefit from alleviating model biases in this region.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1File nameFile nameSong, Zhaoyang
2File formatFile formatSong, Zhaoyang
3File sizeFile sizekByteSong, Zhaoyang
4Uniform resource locator/link to fileURL fileSong, Zhaoyang
Size:
20 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML