Central Asia is one of the major food-producing regions in the world. Its agricultural production relies heavily on climate conditions, especially the precipitation. Understanding the reasons for historical changes in Central Asian precipitation is crucial for predicting precipitation changes in the next few decades.
Researchers from the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences suggest that the tropical Pacific decadal variability (TPDV) and the Atlantic multidecadal variability (AMV) are the main drivers of the interdecadal variability in Central Asian precipitation.
The study was published in Journal of Climate.
The researchers found that both the decadal-scale warming over the tropical Pacific and North Atlantic are favorable for wetter conditions over Central Asia. During the positive phase of TPDV (warm tropical Pacific), the sea surface temperature (SST) anomalies over tropical Pacific can lead to more precipitation over Central Asia, especially the southern and southeastern region. The warm phase of AMV (warm North Atlantic) can excite a circumglobal teleconnection pattern and favors precipitation over Central Asia, especially the northern part.
They obtained these results based on the pacemaker experiments of two coupled models (CESM1.2 and MRI-ESM2-0). “Precipitation records are reliable after the 1950s over Central Asia. During the short period (~60years), it’s hard to identify and isolate the contributions of TPDV and AMV as the SST-related signals in observation may be obscured by the other one,” said Dr. Jie Jiang, first author of the study. “The pacemaker-coupled historical experiments restored observed SST anomalies in specific basins, which help to understand the remote impact of SST anomalies in Pacific or Atlantic.”
Based on the observational TPDV and AMV indices, the researchers reconstructed the historical precipitation over Central Asia. “Different phase combinations of TPDV and AMV can result in different precipitation conditions over Central Asia. Our findings provide implications for the near-term projection of precipitation over this region,” said Jiang.