| Literature DB >> 30667381 |
Zhongwang Wei1,2, Xuhui Lee1,3, Franziska Aemisegger4, Marion Benetti5, Max Berkelhammer6, Mathieu Casado7, Kelly Caylor8, Emanuel Christner9, Christoph Dyroff10, Omaira García11, Yenny González11,12, Timothy Griffis13, Naoyuki Kurita14, Jie Liang15, Mao-Chang Liang16, Guanghui Lin15, David Noone17, Konstantin Gribanov18, Niels C Munksgaard19, Matthias Schneider20, François Ritter7, Hans Christian Steen-Larsen21, Christine Vallet-Coulomb22, Xuefa Wen23, Jonathon S Wright15, Wei Xiao3, Kei Yoshimura24.
Abstract
The isotopic composition of water vapour provides integrated perspectives on the hydrological histories of air masses and has been widely used for tracing physical processes in hydrological and climatic studies. Over the last two decades, the infrared laser spectroscopy technique has been used to measure the isotopic composition of water vapour near the Earth's surface. Here, we have assembled a global database of high temporal resolution stable water vapour isotope ratios (δ18O and δD) observed using this measurement technique. As of March 2018, the database includes data collected at 35 sites in 15 Köppen climate zones from the years 2004 to 2017. The key variables in each dataset are hourly values of δ18O and δD in atmospheric water vapour. To support interpretation of the isotopologue data, synchronized time series of standard meteorological variables from in situ observations and ERA5 reanalyses are also provided. This database is intended to serve as a centralized platform allowing researchers to share their vapour isotope datasets, thus facilitating investigations that transcend disciplinary and geographic boundaries.Entities:
Year: 2019 PMID: 30667381 PMCID: PMC6343514 DOI: 10.1038/sdata.2018.302
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444
Figure 1Map of measurement sites as of March 1, 2018.
Initial point of ship cruises is marked as Ocean.
List of datasets as of March 2018.
| Site Name | Continent/Cruises | Location | Lat | Lon | Landscape | Climate |
|---|---|---|---|---|---|---|
| The measurement sites are grouped by continent and in relation to the Köppen climate zones: AW: Tropical wet and dry or savanna climate; AM: Tropical monsoon climate; BWh: Hot desert climate; BWk: Cold desert climate; BSh: Hot semi-arid climate; BSk: Cold semi-arid climate; Cfa: Humid subtropical climate; Csb: Warm-summer Mediterranean climate; Dwa: Monsoon-influenced hot-summer humid continental climate; Dwb: Monsoon-influenced warm-summer humid continental climate; Dfa: Hot-summer humid continental climate; Dfb: Warm-summer humid continental climate; Dfc: Subarctic climate; ET: Polar Tundra; ETf: Polar/frost. | ||||||
| Manitou Forests | North America | Colorado, USA | 39.08 | −105.07 | Forest | Bsk |
| Great Mountain | North America | Connecticut, USA | 41.98 | −73.23 | Forest | Dfb |
| New Haven | North America | Connecticut, USA | 41.31 | −72.92 | Urban | Dfa |
| Borden | North America | Borden, Canada | 44.32 | −79.93 | Forest | Dfb |
| Niwot Ridge | North America | Colorado, USA | 40.03 | −105.55 | Forest | Dfc |
| Rosemount | North America | MN, USA | 44.72 | −93.10 | Cropland | Dfa |
| Kourovka | Europe | Kourovka, Russia | 57.04 | 59.55 | Forest | Dfb |
| Rietholzbach | Europe | Swiss Prealps, Swiss | 47.38 | 8.99 | Grassland | ET |
| Camargue | Europe | Vaccarès Lagoon, France | 43.60 | 4.47 | Wetland | Csa |
| Karlsruhe | Europe | Karlsruhe, Germany | 49.10 | 8.44 | Snow | Cfb |
| Teide | Europe | Canary Islands, Spain | 28.3 | −16.5 | Island | BWk |
| Izana | Europe | Canary Islands, Spain | 28.3 | −16.5 | Island | BWk |
| Beijing | Asia | Beijing, China | 40.00 | 116.38 | Urban | Dwa |
| Qianyanzhou | Asia | Jiangxi, China | 26.75 | 115.06 | Forest | Cfa |
| Luancheng | Asia | Shijiazhuang, China | 37.88 | 114.68 | Cropland | Bsk |
| Heihe | Asia | Hehei, China | 38.85 | 100.37 | Cropland | Bwk |
| Taihu | Asia | Jiangsu, China | 30.09 | 119.88 | Lake | Cfa |
| Duolun | Asia | Inner Mongolia, China | 42.03 | 116.28 | Grassland | Dwb |
| Gaoqiao | Asia | Zhejiang, China | 21.57 | 109.76 | Wetland | Cfa |
| Mase | Asia | Tsukuba, Japan | 36.05 | 140.03 | Cropland | Cfa |
| Nagoya | Asia | Nagoya, Japan | 35.15 | 136.97 | Urban | Cfa |
| Taipei | Asia | Taipei, ROC | 25.04 | 121.74 | Coast | Cfa |
| Mapla | Africa | Mapla, Kenya | 0.4 | 36.87 | Savanna | AW |
| Trinity Beach | Oceania | Cairns, Australia | −16.79 | 145.70 | Coast | AM |
| NEEM | North pole | Greenland | 77.45 | −51.05 | Ice Sheet | ETf |
| Ivittuut | North pole | Greenland | 61.20 | −47.18 | Coast | ET |
| Dome C | Antarctic Pole | Concordia, Antarctica | −75.10 | 123.38 | Ice Sheet | ETf |
| Kohnen | Antarctic Pole | Antarctica continent | −70.0 | 0.0 | Ice Sheet | ETf |
| Ship-Bermuda | Flight and ship cruises | Atlantic | 32.05 | −64.43 | Ocean | – |
| Ship-PIRATAFR24 | Flight and ship cruises | Atlantic | 5.07 | −4.00 | Ocean | – |
| Ship-RARA AVIS | Flight and ship cruises | Atlantic | 48.37 | −4.49 | Ocean | – |
| Ship-STRASSE | Flight and ship cruises | Atlantic | 27.51 | −17.10 | Ocean | – |
| Ship-ACTIV | Flight and ship cruises | Atlantic | 56.18 | 12.33 | Ocean | – |
| Ship-JARE | Flight and ship cruises | Australia and Syowa base | −31.97 | 115.68 | Ocean | – |
| Flight-Las Palmas | Flight and ship cruises | Canary Islands, Spain | 27.9 | −15.37 | Flight | – |
| Flight-HyMeX SOP1 | Flight and ship cruises | Corsica, France | 42.55 | 9.48 | Flight | Csa |
Figure 2The measurement period for each site.
List of meteorological measurements and sensor types.
| Site Name | Continent/Cruises | Air temperature | Relative humidity | Pressure | precipitation | Net radiation | Wind speed, Wind direction |
|---|---|---|---|---|---|---|---|
| Great Mountain | North America | HMP-45C | Tipping bucket | Q7 | RMY sensor | ||
| New Haven | North America | Data from Tweed airport, New Haven | |||||
| Niwot Ridge | North America | HMP-35D | PTB-101B | USCRN Data | REBS Q-7.1 | CSAT3 | |
| Manitou Forests | North America | HMP-35D | PTB-101B | Tipping bucket | REBS Q-7.1 | CSAT3 | |
| Rosemount | North America | HMP - 45 C | TE525MM | CNR-1 | DA600-62AX | ||
| Borden | North America | HMP - 45 A | Tipping bucket | CNR-1 | CSAT3 | ||
| Camargue | Europe | HRT2122 (Précis-Mécanique) | – | 3029/2 (Précis-Mécanique) | – | Meteo-France station | |
| Rietholzbach | Europe | – | |||||
| Kourovka | Europe | MetPak-II | |||||
| Karlsruhe | Europe | Mirror hygrometer | HMP-45A | From IMK-TRO | |||
| Teide | Europe | Rotronic | Rotronic | Setra 470 | – | Kipp & Zonen CM-5 and CM-11 | Thies Sonic anemometer |
| Izana | Europe | Rotronic | Rotronic | Setra 470 | – | Kipp & Zonen CM-5 and CM-11 | Thies Sonic anemometer |
| Beijing | Asia | Davis weather station | – | – | |||
| Qianyanzhou | Asia | HMP-45C | – | – | – | ||
| Luancheng | Asia | HMP-45C | TE525MM | CNR-1 | A100R | ||
| Duolun | Asia | HMP-45C | CS105 | TE525MM | CNR-1 | A100R | |
| Heihe | Asia | – | |||||
| Taihu | Asia | HMP-45C | – | TE525MM | CNR-1 | CSAT3 | |
| Gaoqiao | Asia | HMP-45A | TE525MM | CNR-1 | 010 C Met One | ||
| Mase | Asia | HMP-45A | TE525MM | CNR-1 | DA600-62AX | ||
| Nagoya | Asia | – | |||||
| Taipei | Asia | CWB Taipei (station code: 466920) | |||||
| Mapla | Africa | – | |||||
| Trinity Beach | Oceania | HMP45C | Tipping bucket | CNR4 | CSAT3 | ||
| NEEM | North pole | – | |||||
| Ivittuut | North pole | – | |||||
| Dome C | Antarctic Pole | HMP155 | – | ||||
| Kohnen | Antarctic Pole | – | |||||
| ACTIV | Flight and ship cruises | Davis | – | – | – | ||
| Ship-Bermuda | Flight and ship cruises | RM Young weather station | – | ||||
| Ship-PIRATAFR24 | Flight and ship cruises | BATOS (French Met Office) weather station | |||||
| Ship-RARA AVIS | Flight and ship cruises | MetPak Pro weather station from Gill Instruments | |||||
| Ship-STRASSE | Flight and ship cruises | BATOS (French Met Office) weather station | |||||
| Ship-JARE | Flight and ship cruises | Batos weather station | |||||
| Flight-Las Palmas | Flight and ship cruises | – | KT15 | – | – | CNR-1 | – |
| Flight-HyMeX SOP1 | Flight and ship cruises | PT100 | HMP 233 | Five-hole probe | – | – | Flight |
List of variable names and measurement details for the Mase site.
| Column | Description | Unit | Equipment | Height (m) | Additional description |
|---|---|---|---|---|---|
| Column 1 | Start time | − | − | − | UTC |
| Column 2 | End time | − | − | − | UTC |
| Column 3 | Water vapour isotopic ratio (18 O) | per mil | Picarro L2120-i | 2 | Normalized to V-SMOW; No humidity dependent correction applied. |
| Column 4 | Standard deviation of 18 O | per mil | Picarro L2120-i | 2 | Hourly |
| Column 5 | Water vapour isotopic ratio (D) | per mil | Picarro L2120-i | 2 | Normalized to V-SMOW; No humidity dependent correction applied |
| Column 6 | Standard deviation of D | per mil | Picarro L2120-i | 2 | Hourly |
| Column 7 | Air temperature | Celsius (°C) | HMP-45A | 3.9 | − |
| Column 8 | Relative humidity | <= 1 | HMP45A | 3.9 | − |
| Column 9 | Air pressure | kPa | HMP45A | 3.9 | − |
| Column 10 | Precipitation | mm | TE525MM | − | − |
| Column 11 | Net radiation | W/m2 | CNR-1 | 2.35 | − |
| Column 12 | Wind speed | m/s | DA600-62AX | 3.9 | − |
| Column 13 | Wind direction | °C | DA600-62AX | 4.9 | − |
| Column 14 | Air temperature | Celsius (°C) | – | 2 | ERA5 |
| Column 15 | Relative humidity | <= 1 | – | 2 | ERA5 |
| Column 16 | Air pressure | kPa | – | – | ERA5 |
| Column 17 | Precipitation | mm | – | − | ERA5 |
| Column 18 | Net radiation | W/m2 | – | – | ERA5 |
| Column 19 | Wind speed | m/s | – | 10 | ERA5 |
| Column 20 | Wind direction | °C | – | 10 | ERA5 |
List of isotopic analyser type, calibration module and isotopic compositions of standard calibration water.
| Site | Continent/Cruises | Analyzer | Calibration Module | Standards (‰) | Uncertainty | ||
|---|---|---|---|---|---|---|---|
| δ18O | δD | δ18O | δD | ||||
| WVISS: LGR water vapour isotope standard source; DCS: dripper calibration system; PSCM: Picarro standard calibration module. ∗Laboratory tests. | |||||||
| ∗∗Uncertainty was humidity dependent. Most data were certain to within 10‰ for δD (combined relative and absolute uncertainties). | |||||||
| Manitou Forests | North America | Picarro L2120i | PSCM | −13.1; −49.7 | −97.0; −388.0 | 0.6 | − |
| Great Mountain | North America | Campbell TGA100A | DCS | −6.66 | − | 0.36 | − |
| New Haven | North America | Campbell TGA100A | DCS | −15.8 | − | 0.36 | − |
| Borden | North America | Campbell TGA100A | Self-made | −1.037; −11.861 | − | 0.36 | − |
| Niwot Ridge | North America | Picarro L2120i | PSCM | −13.1; −49.7 | −97.0; −388.0 | 0.6 | − |
| Rosemount | North America | Campbell TGA100A and TGA200 | DCS | −8.5 | −60.0 | 0.5 | − |
| Kourovka | Europe | Picarro L2130i | PSCM | −12.76; −36.71; −54.05 | −96.4; −289.0; −424.1 | 0.25 | 0.9 |
| Rietholzbach | Europe | Picarro L1115i | PSCM | −10.99; −24.89; −46.02 | −78.68; −153.90; −256.11 | 0. 23 | 0.9 |
| Camargue | Europe | Picarro L1102i | Self-made | −17.12; −7.85; −0.68 | −133.3; −53.5; 3.7 | 0.13 | 1.8 |
| Karlsruhe | Europe | Picarro L2120-i | PSCM | −9.09; −18.90; −33.43 | −62.1; −142.2;−245.7 | − | 0.3 |
| Teide | Europe | Picarro L2120-i | PSCM | −18.90; −33.43 | −142.2; −245.7 | − | 2 |
| Izana | Europe | Picarro L2120-i | PSCM | −18.90; −33.43 | −142.2; −245.7 | − | 2 |
| Beijing | Asia | Campbell TGA100A | DCS | −14.13 | −104.0 | 0.39 | 1.2 |
| Qianyanzhou | Asia | LGR DLT100 | DCS | –13.55 | –101.7 | − | − |
| Luancheng | Asia | Campbell TGA100A | DCS | −14.13 | −104.0 | 0.39 | 1.2 |
| Heihe | Asia | Picarro L1102i | DCS | − | − | 0.2 | 0.4 |
| Taihu | Asia | Campbell TGA100A | DCS | −32.99; −6.12 | −256.0; −43.2 | 0.1 | 1 |
| Duolun | Asia | Campbell TGA100A | DCS | −14.13 | −104.0 | 0.39 | 1.2 |
| Gaoqiao | Asia | Picarro L2130i | PSCM | −7.07; −4.29 | −49.68; −19.46 | 0.1 | 1 |
| Mase | Asia | Picarro L2120i | PSCM | −0.3; −26.0 | −1.2; −197.9 | 0.3 | 1.3 |
| Nagoya | Asia | LGR DLT100 | WVISS | −11.3 | −78.0 | 0.2 | 2 |
| Taipei | Asia | Picarro L2120i | Self-made | −7.8; −12.0; −14.1; −16.0; −19.2 | −59.0; −85.4; −102.3; −119.2; −145.1 | 0.2 | 0.8 |
| Mapla | Africa | LGR DLT100 | WVISS | −19.57; −2.96 | −154.1; −9.8 | 0.8 | 2.1 |
| Trinity Beach | Oceania | Picarro L2130i | WVISS | + 0.88; −10.64; −18.36 | + 3.7; −71.5; −140.4 | 0.2 | 0.8 |
| Ivittuut | North pole | Picarro L2120i | PSCM | −6.12; −32.99 | −43.2; −256.0 | 0.2 | 1.4 |
| NEEM | North pole | Picarro L1102i | WVISS | −6.12 | −43.2 | 0.2 | 1.4 |
| Dome C | Antarctic Pole | Picarro L2130i | Self-made + Cryogenic trapping comparison | −54.30; −33.56 | −431.1; −257.6 | 0.2∗ | 1.3∗ |
| Kohnen | Antarctic Pole | LGR DTL-100 | WVISS | −44.44 | −345.5 | 0.9 | 3.0 |
| Ship-Bermuda | Flight and ship cruises | Picarro L2120i | Self-made | + 0.40; −33.56; −54.05 | + 2.8; −257.6; −424.1 | 0.85 | 1.1 |
| Ship-PIRATA | Flight and ship cruises | Picarro L2130i | PSCM | −3.26; −6.61; −14.05 | −21.32; −44.32; −100.96 | 0.85 | 1.1 |
| Ship-RARA | Flight and ship cruises | Picarro L2120i | Self-made | −6.61; −14.05; −18.71; −19.74 | −44.32; −100.96; −144.7; −146.53 | 0.85 | 1.1 |
| Ship-STRASSE | Flight and ship cruises | Picarro L2130i | PSCM | −0.56; −6.61; −15.81 | −3.75; −44.32; −120.68 | 0.85 | 1.1 |
| Ship-ACTIV | Flight and ship cruises | Picarro L1102i | Self-made | + 0.40; −0.02; −14.84; −33.44; −54.05 | + 2.8; −65.0 ; −111.1; −257.3 ; −424.1 | 0.85 | 1.1 |
| Ship-JARE | Flight and ship cruises | LGR DLT100 | WVISS | −11.3 | −78.0 | 0.28 | 2.5 |
| Flight-LasPalmas | Flight and ship cruises | ISOWAT | Self-made | − | −59.22 | – | 10∗ |
| Flight-HyMeX SOP1 | Flight and ship cruises | Picarro L2130i | WVISS | −11.0; −70.2 | −78.7; −166.7 | 1 | 1.8 |
Figure 3Uncertainties of isotopic data reported in this dataset, Flight – Las Palmas uncertainties were humidity dependent.