Abstract

We investigate the contribution of the local and remote atmospheric moisture fluxes to East Asia (EA) precipitation and its interannual variability during 1979–2012. We use and expand the Brubaker et al. (J Clim 6:1077–1089,1993) method, which connects the area-mean precipitation to area-mean evaporation and the horizontal moisture flux into the region. Due to its large landmass and hydrological heterogeneity, EA is divided into five sub-regions: Southeast (SE), Tibetan Plateau (TP), Central East (CE), Northwest (NW) and Northeast (NE). For each region, we first separate the contributions to precipitation of local evaporation from those of the horizontal moisture flux by calculating the precipitation recycling ratio: the fraction of precipitation over a region that originates as evaporation from the same region. Then, we separate the horizontal moisture flux across the region’s boundaries by direction. We estimate the contributions of the horizontal moisture fluxes from each direction, as well as the local evaporation, to the mean precipitation and its interannual variability. We find that the major contributors to the mean precipitation are not necessarily those that contribute most to the precipitation interannual variability. Over SE, the moisture flux via the southern boundary dominates the mean precipitation and its interannual variability. Over TP, in winter and spring, the moisture flux via the western boundary dominates the mean precipitation; however, variations in local evaporation dominate the precipitation interannual variability. The western moisture flux is the dominant contributor to the mean precipitation over CE, NW and NE. However, the southern or northern moisture flux or the local evaporation dominates the precipitation interannual variability over these regions, depending on the season. Potential mechanisms associated with interannual variability in the moisture flux are identified for each region. The methods and results presented in this study can be readily applied to model simulations, to identify simulation biases in precipitation that relate to the simulated moisture supplies and transport.

Highlights

  • East Asia (EA), especially China, spans several regions

  • We identified the contributions of local and remote atmospheric moisture influxes to East Asian precipitation and its interannual variability

  • Based on the regional precipitation recycling ratio and other hydrological variables, we show in Fig. 3 the hydrological cycle for each region and derived the regional evaporation recycling ratio and conversion ratio for advected atmospheric moisture

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Summary

Introduction

East Asia (EA), especially China, spans several regions. This leads to a remarkable gradient in the annual total precipitation, from less than 25 mm in the remote northwest to more than 2000 mm in the southeast (Zhai et al 2005). Feng and Zhou (2012) found that the interannual variability of summer precipitation over the TP is dominated by an anomalous circulation over northern India and the Bay of Bengal These two approaches analyse the relationships between EA precipitation and moisture transport on different temporal scales. Chen and Xu (2015), on the other hand, showed that, over the Sichuan Basin, moisture originating from the TP, Indian Peninsula, Bay of Bengal and the Arabian Sea makes considerable contributions to heavy precipitation events; these areas are less important to the precipitation climatology To address this issue, we apply both hydrological and meteorological approaches in this study to investigate the relationship between moisture transport and regional precipitation on climatological and interannual scales.

Precipitation recycling ratio and advected moisture contribution
Coefficient of multi‐determination
Dividing the study regions
Seasonal cycle of moisture budget over East Asia
Precipitation recycling ratio over East Asia
Contribution of advected moisture transport
Western boundaries
Northern boundaries
Southern boundaries
Evaporation
Limitations in the B1993 method used here
Trajectory analysis
Uncertainty of ERA‐Interim hydrological variables over EA
Findings
Summary
Full Text
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