Rossby Wave Propagation from the Arctic into the Midlatitudes: Does It Arise from In Situ Latent Heating or a Trans-Arctic Wave Train?

• Published in: Journal of Climate
• Main Authors: Gong, Tingting, Feldstein, Steven B., Lee, Sukyoung
• Format: Report
• Language: English
• Published: AMER METEOROLOGICAL SOC 2020
• Subjects: Meteorology & Atmospheric Sciences; SEA-ICE DECLINE; ATMOSPHERIC CIRCULATION; AIR-TEMPERATURE; TROPICAL CONVECTION; POLEWARD MOISTURE; NORTH PACIFIC; MECHANISMS; AMPLIFICATION; FLUX; TELECONNECTION; Arctic; Arctic Ocean; Greenland; Pacific; Sea ice
• Online Access: http://ir.qdio.ac.cn/handle/337002/168751; https://doi.org/10.1175/JCLI-D-18-0780.1

The relationship between latent heating over the Greenland, Barents, and Kara Seas (GBKS hereafter) and Rossby wave propagation between the Arctic and midlatitudes is investigated using global reanalysis data. Latent heating is the focus because it is the most likely source of Rossby wave activity over the Arctic Ocean. Given that the Rossby wave time scale is on the order of several days, the analysis is carried out using a daily latent heating index that resembles the interdecadal latent heating trend during the winter season. The results from regression calculations find a trans-Arctic Rossby wave train that propagates from the subtropics, through the midlatitudes, into the Arctic, and then back into midlatitudes over a period of about 10 days. Upon entering the GBKS, this wave train transports moisture into the region, resulting in anomalous latent heat release. At high latitudes, the overlapping of a negative latent heating anomaly with an anomalous high is consistent with anomalous latent heat release fueling the Rossby wave train before it propagates back into the midlatitudes. This implies that the Rossby wave propagation from the Arctic into the midlatitudes arises from trans-Arctic wave propagation rather than from in situ generation. The method used indicates the variance of the trans-Arctic wave train, but not in situ generation, and implies that the variance of the former is greater than that of latter. Furthermore, GBKS sea ice concentration regression against the latent heating index shows the largest negative value six days afterward, indicating that sea ice loss contributes little to the latent heating.