This study emulates dropsondes to elucidate the extent to which sporadic airborne sondes adequately represent divergence of moisture transport in Arctic atmospheric rivers (ARs). The convergence of vertically integrated moisture transport (IVT) plays a crucial role as it favours precipitation that significantly affects Arctic sea ice properties. Long-range research aircraft can transect ARs and drop sondes to determine their IVT divergence. In order to assess the representativeness of future sonde-based IVT divergence in Arctic ARs, we disentangle the sonde-based deviations from an ideal instantaneous IVT divergence, which result from undersampling by a limited number of sondes and from the flight duration.Our synthetic study uses C3S Arctic Regional Reanalysis (CARRA) reanalyses to set up an idealised scenario for airborne AR observations. For nine Arctic spring ARs, we mimic flights transecting each AR in CARRA and emulate sonde-based IVT representation by picking single vertical profiles. The emulation quantifies IVT divergence observability by two approaches. First, sonde-based IVT and its divergence are compared to the continuous IVT interpolated onto the flight cross-section. The comparison specifies uncertainties of discrete sonde-based IVT variability and divergence. Second, we determine how temporal AR evolution affects IVT divergence values by contrasting time-propagating sonde-based values with the divergence based on instantaneous snapshots.For our Arctic AR cross-sections, we find that coherent wind and moisture variabilities contribute less than 10 % to the total transport. Both quantities are uncorrelated to a great extent. Moisture turns out to be the more variable quantity. We show that sounding spacing greater than 100 km results in errors greater than 10 % of the total IVT along AR cross-sections. For IVT divergence, the Arctic ARs exhibit similar differences in moisture advection and mass convergence across the embedded front as mid-latitude ARs, but we identify moisture advection as being dominant. Overall, we confirm the observability of IVT divergence with an uncertainty of around 25 %-50 % using a sequence of at least seven sondes per cross-section. Rather than sonde undersampling, it is the temporal AR evolution over the flight duration that leads to high deviations in divergence components. In order to realise the estimation of IVT divergence from dropsondes, flight planning should consider not only the sonde positioning, but also the minimisation of the flight duration. Our benchmarks quantify sonde-based uncertainties as essential preparatory work for the upcoming airborne closure of the moisture budget in Arctic ARs.
机构:
Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Hubei Luojia Lab, Wuhan 430079, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Zou, Xiaowei
Li, Zhao
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Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Hubei Luojia Lab, Wuhan 430079, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Li, Zhao
Yang, Diyi
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Haining Meteorol Bur, Haining 214400, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Yang, Diyi
Sun, Weijun
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Shandong Normal Univ, Coll Geog & Environm, Jinan 250014, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Sun, Weijun
Ding, Minghu
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Ding, Minghu
Liu, Weigang
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China Meteorol Adm, Inst Arid Meteorol, Key Lab Arid Climat Change & Reducing Disaster Gan, Key Open Lab Arid Climate Change & Disaster Reduct, Lanzhou 730020, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Liu, Weigang
Zeng, Zhaoliang
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Zeng, Zhaoliang
Wang, Ze
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Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Hubei Luojia Lab, Wuhan 430079, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Wang, Ze
Jin, Shuang
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机构:
Jiangsu Normal Univ, Sch Geog Geomat & Planning, Xuzhou 221000, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
Jin, Shuang
Ma, Hongmei
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机构:
Polar Res Inst China, Key Lab Polar Sci, MNR, Shanghai 200136, Peoples R ChinaWuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
机构:
Norwegian Institute for Air Research, P.O. Box 130, N-2001 Lillestrom, NorwayNorwegian Institute for Air Research, P.O. Box 130, N-2001 Lillestrom, Norway
机构:
Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
Li, Linghan
Cannon, Forest
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Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
Cannon, Forest
Mazloff, Matthew R.
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Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
Mazloff, Matthew R.
Subramanian, Aneesh C.
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Univ Colorado Boulder, Dept Atmospher & Ocean Sci, Boulder, CO USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
Subramanian, Aneesh C.
Wilson, Anna M.
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Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
Wilson, Anna M.
Ralph, Fred Martin
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Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, San Diego, CA 92093 USA
机构:
Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USAColumbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
Lee, Simon H.
Polvani, Lorenzo M.
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Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
Columbia Univ, Dept Earth & Environm Sci, New York, NY 10027 USA
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USAColumbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
Polvani, Lorenzo M.
Guan, Bin
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机构:
CALTECH, Jet Prop Lab, Pasadena, CA USA
Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USAColumbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
机构:
Stockholm Univ, Dept Meteorol, Stockholm, Sweden
Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USAFinnish Meteorol Inst, Inst Meteorol, Helsinki, Finland
机构:
Rutgers State Univ, Dept Atmospher Sci, New Brunswick, NJ 08901 USARutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08901 USA
Skific, Natasa
Francis, Jennifer A.
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Rutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08901 USARutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08901 USA
Francis, Jennifer A.
Cassano, John J.
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Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USARutgers State Univ, Inst Marine & Coastal Sci, New Brunswick, NJ 08901 USA