Abstract

Abstract. In this study, precipitation isotopic variations at Barrow, AK, USA, are linked to conditions at the moisture source region, along the transport path, and at the precipitation site. Seventy precipitation events between January 2009 and March 2013 were analyzed for δ2H and deuterium excess. For each precipitation event, vapor source regions were identified with the hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) air parcel tracking program in back-cast mode. The results show that the vapor source region migrated annually, with the most distal (proximal) and southerly (northerly) vapor source regions occurring during the winter (summer). This may be related to equatorial expansion and poleward contraction of the polar circulation cell and the extent of Arctic sea ice cover. Annual cycles of vapor source region latitude and δ2H in precipitation were in phase; depleted (enriched) δ2H values were associated with winter (summer) and distal (proximal) vapor source regions. Precipitation δ2H responded to variation in vapor source region as reflected by significant correlations between δ2H with the following three parameters: (1) total cooling between lifted condensation level (LCL) and precipitating cloud at Barrow, ΔTcool, (2) meteorological conditions at the evaporation site quantified by 2 m dew point, Td, and (3) whether the vapor transport path crossed the Brooks and/or Alaskan ranges, expressed as a Boolean variable, mtn. These three variables explained 54 % of the variance (p<0. 001) in precipitation δ2H with a sensitivity of −3.51 ± 0.55 ‰ °C−1 (p<0. 001) to ΔTcool, 3.23 ± 0.83 ‰ °C−1 (p<0. 001) to Td, and −32.11 ± 11.04 ‰ (p = 0. 0049) depletion when mtn is true. The magnitude of each effect on isotopic composition also varied with vapor source region proximity. For storms with proximal vapor source regions (where ΔTcool <7 °C), ΔTcool explained 3 % of the variance in δ2H, Td alone accounted for 43 %, while mtn explained 2 %. For storms with distal vapor sources (ΔTcool > 7°C), ΔTcool explained 22 %, Td explained only 1 %, and mtn explained 18 %. The deuterium excess annual cycle lagged by 2–3 months during the δ2H cycle, so the direct correlation between the two variables is weak. Vapor source region relative humidity with respect to the sea surface temperature, hss, explained 34 % of variance in deuterium excess, (−0.395 ± 0.067 ‰ %−1, p<0. 001). The patterns in our data suggest that on an annual scale, isotopic ratios of precipitation at Barrow may respond to changes in the southerly extent of the polar circulation cell, a relationship that may be applicable to interpretation of long-term climate change records like ice cores.

Highlights

  • Changes to spatial patterns of water vapor transport and precipitation are an important component of incipient climate change (Santer et al, 2007; Marvel and Bonfils, 2013)

  • We report the mean of all air parcels that were traced to the marine planetary boundary layer (PBL), T cool, as characteristic of the event

  • The vapor source regions identified by hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) for storms at Barrow, AK, USA, exhibited interannual, annual, and substantial inter-event variability

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Summary

Introduction

Changes to spatial patterns of water vapor transport and precipitation are an important component of incipient climate change (Santer et al, 2007; Marvel and Bonfils, 2013). Current and future changes in the hydrologic cycle may impact fresh water resources, natural disasters, and Earth’s radiation balance, due to changes in timing, extent, and duration of snow or cloud cover (Liu et al, 2012). Putman et al.: Precipitation δ2H reflects source on the hydrologic cycle. Researchers have measured the isotopic ratios of precipitation on monthly or longer timescales and attempted to explain isotopic variations over time, altitude, and latitude (Rindsberger et al, 1983; Cappa et al, 2003; Liu et al, 2010). Models developed to understand the spatial and temporal variability of water stable isotopes include evaporation and Rayleigh distillation models (Merlivat and Jouzel, 1979; Jouzel and Merlivat, 1984), models examining the balance of vertical mixing and meridional advection (Hendricks et al, 2000; Noone, 2008), and isotope-enabled general circulation models (e.g., Jouzel et al, 1987; Yoshimura et al, 2008; Dee et al, 2015)

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