Arctic sea-ice loss is emblematic of an amplified Arctic water cycle and has critical feedback implications for global climate. Stable isotopes (δ 18 O, δ 2 H, d-excess ) are valuable tracers for constraining water cycle and climate processes through space and time. Yet, the paucity of well-resolved Arctic isotope data preclude an empirically derived understanding of the hydrologic changes occurring today, in the deep (geologic) past, and in the future. To address this knowledge gap, the Pan-Arctic Precipitation Isotope Network (PAPIN) was established in 2018 to coordinate precipitation sampling at 19 stations across key tundra, subarctic, maritime, and continental climate zones. Here, we present a first assessment of rainfall samples collected in summer 2018 ( n = 281) and combine new isotope and meteorological data with sea ice observations, reanalysis data, and model simulations. Data collectively establish a summer Arctic Meteoric Water Line where δ 2 H = 7.6⋅δ 18 O–1.8 ( r 2 = 0.96, p < 0.01). Mean amount-weighted δ 18 O, δ 2 H, and d-excess values were −12.3, −93.5, and 4.9‰, respectively, with the lowest summer mean δ 18 O value observed in northwest Greenland (−19.9‰) and the highest in Iceland (−7.3‰). Southern Alaska recorded the lowest mean d-excess (−8.2%) and northern Russia the highest (9.9‰). We identify a range of δ 18 O-temperature coefficients from 0.31‰/°C (Alaska) to 0.93‰/°C (Russia). The steepest regression slopes (>0.75‰/°C) were observed at continental sites, while statistically significant temperature relations were generally absent at coastal stations. Model outputs indicate that 68% of the summer precipitating air masses were transported into the Arctic from mid-latitudes and were characterized by relatively high δ 18 O values. Yet 32% of precipitation events, characterized by lower δ 18 O and high d-excess values, derived from northerly air masses transported from the Arctic Ocean and/or its marginal seas, highlighting key emergent oceanic moisture sources as sea ice cover declines. Resolving these processes across broader spatial-temporal scales is an ongoing research priority, and will be key to quantifying the past, present, and future feedbacks of an amplified Arctic water cycle on the global climate system.
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Evaluating Precipitation Amount and Water Isotope Ratios in the OPEnS and Palmex RS1 Passive Collectors: Implications for High‐Frequency Precipitation Sampling
ABSTRACT For decades, precipitation passive collectors for water stable isotopes (δ2H, δ18O andd‐excess) analysis have been debated regarding secondary fractionation, sample integrity over time and sampling costs. This study compares the performance of precipitation (N = 36 events) passive collectors for water isotope analysis in the Dallas‐Fort Worth Metroplex (north‐central Texas, USA). Three systems were compared: (1) the low‐cost OPEnS collector (version 3.0), (2) the Palmex RS1 collector alone and (3) the Palmex RS1 collector combined with a portable autosampler for sub‐daily sampling. Our results showed no significant variation in the annual arithmetic mean between OPEnS and the other sampling systems. Statistical evaluations between the OPEnS and Palmex RS1 and Palmex‐autosampler yieldedpvalues of 0.545 and 0.921 for δ18O, 0.789 and 0.886 for δ2H and 0.410 and 0.937 ford‐excess, respectively. The annual precipitation weighted means of δ18O, δ2H andd‐excess were −4.25‰ ± 1.94‰, −21.2‰ ± 15.1‰ and 12.8‰ ± 7.1‰ for the OPEnS collector; −3.59‰ ± 1.59‰, −18.5‰ ± 13.7‰ and 10.2‰ ± 5.4‰ for the Palmex RS1; and −4.69‰ ± 2.36‰, −23.4‰ ± 16.7‰ and 14.1‰ ± 7.6‰ for the Palmex‐autosampler setup. Strong linear correlations were observed between OPEnS and both Palmex RS1 (δ18O:r2 = 0.97, δ2H:r2 = 0.98 andd‐excess:r2 = 0.97) and Palmex‐autosampler (δ18O:r2 = 0.87 and δ2H:r2 = 0.93), while the correlation ford‐excess was weaker (r2 = 0.72) with the autosampler setup. The best agreement in precipitation amounts was found between OPEnS and Palmex RS1 (r2 = 0.91). Combining the Palmex with an autosampler resulted in a lower precipitation amount performance (r2 = 0.59). Precipitation amount discrepancies may occur because of (i) the vertical instability in the OPEnS collector during windy and heavy rainfall conditions, and (ii) the Palmex‐autosampler mechanical challenges related to ponding or residual water in the connecting vinyl tubing and distributor's arm movement across the 24‐bottle carousel. Meteoric water lines suggest a larger influence of secondary evaporation when using the Palmex‐autosampler setup (δ2H = 6.55 × δ18O + 5.36;r2 = 0.84) compared to the OPEnS collector (δ2H = 7.33 × δ18O + 8.87;r2 = 0.84) and Palmex RS1 (δ2H = 7.56 × δ18O + 8.52;r2 = 0.85). The OPEnS collector is a consistent, cost‐effective and reliable alternative for precipitation sampling that is similar to the Palmex RS1 collector. Autosampler assemblages to Palmex RS1 or other in‐house collectors should be carefully tested and revised regarding precipitation amounts and post‐sampling evaporation.
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- PAR ID:
- 10695662
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Hydrological Processes
- Volume:
- 39
- Issue:
- 7
- ISSN:
- 0885-6087
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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