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  • 1
    Publication Date: 2019-08-12
    Description: Atmospheric general circulation models (AGCMs) are known to have a warm and isotopically enriched bias over Antarctica. We test here the hypothesis that these biases are partly consequences of a too diffusive advection. Exploiting the LMDZ-iso model, we show that a less diffusive representation of the advection, especially on the horizontal, is very important to reduce the bias in the isotopic contents of precipitation above this area. The choice of an appropriate representation of the advection is thus essential when using GCMs for paleoclimate applications based on polar water isotopes. Too much diffusive mixing along the poleward transport leads to overestimated isotopic contents in water vapor because dehydration by mixing follows a more enriched path than dehydration by Rayleigh distillation. The near-air surface temperature is also influenced, to a lesser extent, by the diffusive properties of the advection scheme directly via the advection of the air and indirectly via the radiative effects of changes in high cloud fraction and water vapor. A too diffusive horizontal advection increases the temperature and so also contributes to enrich the isotopic contents of water vapor over Antarctica through a reduction of the distillation. The temporal relationship, from Last Glacial Maximum (LGM) to present-day conditions, between the mean annual near-air surface temperature and the water isotopic contents of precipitation for a specific location can also be impacted, with significant consequences on the paleo-temperature reconstruction from observed changes in water isotopes.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
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  • 2
    Publication Date: 2023-03-01
    Description: The data set provides 3 years of almost continuous observation of water vapor in the air at 3 levels in the lowest 42 m above Dome C on the high antarctic plateau, 123° 21' E, 75° 06' S, 3233 m above sea level. Each data is an average over the previous ½ hour. The water vapor content is measured in a heated air flow to avoid that supersaturated air at ambient temperature deposits excess moisture (above 100% with respect to ice) before reaching the humidity sensor. In fact, many reports correspond to significant supersaturation (see references provided). HMP155 thermohygrometers are used, which for the hygrometer natively report relative humidity with respect to liquid water even below 0°C. This is the variable provided in the data set, along with temperature in the heated air flow and ambient temperature. There are several conversion formulae in the literature to convert to e.g. partial pressure and relative humidity with respect to ice. As there is no clear consensus on which should be preferred in the range of temperatures at Dome C, the user is left to carry our her/his own conversions.
    Keywords: Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; CALVA; DOME_C_CALVA; Dome C, Antarctica; East Antarctic plateau; Water vapor observation in the atmospheric boundary layer at Dome C; Weather station/meteorological observation; WST
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2023-03-01
    Description: The data set provides 3 years of almost continuous observation of water vapor in the air at 3m height on the high antarctic plateau, 123° 21' E, 75° 06' S, 3233 m above sea level. Each data is an average over the previous ½ hour. The water vapor content is measured in a heated air flow to avoid that supersaturated air at ambient temperature deposits excess moisture (above 100% with respect to ice) before reaching the humidity sensor. In fact, many reports correspond to significant supersaturation (see references provided). HMP155 thermohygrometers are used, which for the hygrometer natively report relative humidity with respect to liquid water even below 0°C. This is the variable provided in the data set, along with temperature in the heated air flow and ambient temperature. There are several conversion formulae in the literature to convert to e.g. partial pressure and relative humidity with respect to ice. As there is no clear consensus on which should be preferred in the range of temperatures at Dome C, the user is left to carry our her/his own conversions.
    Keywords: Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; CALVA; Date/Time local; DOME_C_CALVA; Dome C, Antarctica; East Antarctic plateau; HEIGHT above ground; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP155; Temperature, air; Water vapor observation in the atmospheric boundary layer at Dome C; Weather station/meteorological observation; WST
    Type: Dataset
    Format: text/tab-separated-values, 202740 data points
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  • 4
    Publication Date: 2023-03-01
    Description: The data set provides 3 years of almost continuous observation of water vapor in the air at 42m height on the high antarctic plateau, 123° 21' E, 75° 06' S, 3233 m above sea level. Each data is an average over the previous ½ hour. The water vapor content is measured in a heated air flow to avoid that supersaturated air at ambient temperature deposits excess moisture (above 100% with respect to ice) before reaching the humidity sensor. In fact, many reports correspond to significant supersaturation (see references provided). HMP155 thermohygrometers are used, which for the hygrometer natively report relative humidity with respect to liquid water even below 0°C. This is the variable provided in the data set, along with temperature in the heated air flow and ambient temperature. There are several conversion formulae in the literature to convert to e.g. partial pressure and relative humidity with respect to ice. As there is no clear consensus on which should be preferred in the range of temperatures at Dome C, the user is left to carry our her/his own conversions.
    Keywords: Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; CALVA; Date/Time local; DOME_C_CALVA; Dome C, Antarctica; East Antarctic plateau; HEIGHT above ground; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP155; Temperature, air; Water vapor observation in the atmospheric boundary layer at Dome C; Weather station/meteorological observation; WST
    Type: Dataset
    Format: text/tab-separated-values, 202740 data points
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  • 5
    Publication Date: 2023-03-01
    Description: The data set provides 3 years of almost continuous observation of water vapor in the air at 18m height on the high antarctic plateau, 123° 21' E, 75° 06' S, 3233 m above sea level. Each data is an average over the previous ½ hour. The water vapor content is measured in a heated air flow to avoid that supersaturated air at ambient temperature deposits excess moisture (above 100% with respect to ice) before reaching the humidity sensor. In fact, many reports correspond to significant supersaturation (see references provided). HMP155 thermohygrometers are used, which for the hygrometer natively report relative humidity with respect to liquid water even below 0°C. This is the variable provided in the data set, along with temperature in the heated air flow and ambient temperature. There are several conversion formulae in the literature to convert to e.g. partial pressure and relative humidity with respect to ice. As there is no clear consensus on which should be preferred in the range of temperatures at Dome C, the user is left to carry our her/his own conversions.
    Keywords: Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; CALVA; Date/Time local; DOME_C_CALVA; Dome C, Antarctica; East Antarctic plateau; HEIGHT above ground; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP155; Temperature, air; Water vapor observation in the atmospheric boundary layer at Dome C; Weather station/meteorological observation; WST
    Type: Dataset
    Format: text/tab-separated-values, 202740 data points
    Location Call Number Expected Availability
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  • 6
    Publication Date: 2023-03-01
    Description: Long-term, continuous in situ observations of the near-surface atmospheric boundary layer are critical for many weather and climate applications. Although there is a proliferation of surface stations globally, especially in and around populous areas, there are notably fewer tall meteorological towers with multiple instrumented levels. This is particularly true in remote and extreme environments such as the Eastern Antarctic plateau. In the article, we present and analyze 10 years (2010-2019) of data from 6 levels of meteorological instrumentation mounted on a 45-m tower located at Dome C, East Antarctica near the Concordia research station, producing a unique climatology of the near-surface environment. Large seasonal differences are evident in the monthly mean temperature and wind data, depending on the presence or absence of solar surface forcing. Strong vertical temperature gradients (inversions) frequently develop in calm, winter conditions, while vertical convective mixing occurs in the summer leading to near-uniform temperatures along the tower. Seasonal variation in wind speed is much less notable at this location than the temperature variation as the winds are less influenced by the solar cycle; there are no katabatic winds as Dome C is quite flat. Harmonic analysis confirms that most of the energy in the power spectrum is at diurnal, annual and semi-annual scales. Analysis of observational uncertainty and comparison to reanalysis data from ERA-5 indicate that wind speed is particularly difficult to measure at this location.
    Keywords: Antarctic Plateau; Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; boundary layer; CALVA; Date/Time local; DOME_C_CALVA; Dome C, Antarctica; meteorology; Profile; Temperature; Tower; Weather station/meteorological observation; wind; Wind monitor, R.M. Young, model 05103; Wind speed; WST
    Type: Dataset
    Format: text/tab-separated-values, 911449 data points
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  • 7
    Publication Date: 2023-03-01
    Description: Long-term, continuous in situ observations of the near-surface atmospheric boundary layer are critical for many weather and climate applications. Although there is a proliferation of surface stations globally, especially in and around populous areas, there are notably fewer tall meteorological towers with multiple instrumented levels. This is particularly true in remote and extreme environments such as the Eastern Antarctic plateau. In the article, we present and analyze 10 years (2010-2019) of data from 6 levels of meteorological instrumentation mounted on a 45-m tower located at Dome C, East Antarctica near the Concordia research station, producing a unique climatology of the near-surface environment. Large seasonal differences are evident in the monthly mean temperature and wind data, depending on the presence or absence of solar surface forcing. Strong vertical temperature gradients (inversions) frequently develop in calm, winter conditions, while vertical convective mixing occurs in the summer leading to near-uniform temperatures along the tower. Seasonal variation in wind speed is much less notable at this location than the temperature variation as the winds are less influenced by the solar cycle; there are no katabatic winds as Dome C is quite flat. Harmonic analysis confirms that most of the energy in the power spectrum is at diurnal, annual and semi-annual scales. Analysis of observational uncertainty and comparison to reanalysis data from ERA-5 indicate that wind speed is particularly difficult to measure at this location.
    Keywords: Antarctic Plateau; Antartic field data for CALibration and VAlidation of meteorological and climate models and satellite retrievals, Antarctic Coast to Dome C; boundary layer; CALVA; Date/Time local; DOME_C_CALVA; Dome C, Antarctica; meteorology; Profile; Temperature; Temperature, air; Thermometer/Hygrometer, Vaisala, HMP155, PT100 sensor; Tower; Weather station/meteorological observation; wind; WST
    Type: Dataset
    Format: text/tab-separated-values, 1199618 data points
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  • 8
    Publication Date: 2024-04-20
    Description: This dataset contains the data from an automatic weather station located at Davis, Antarctica in January 2019.
    Keywords: Antarctica; AWS; DATE/TIME; Davis_Station; HEIGHT above ground; Humidity, relative; Pressure, atmospheric; Research station; RS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 222572 data points
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  • 9
    Publication Date: 2024-04-20
    Description: This dataset contains the radiosoundings at 00:00 or 12:00 at Davis Station in January 2019.
    Keywords: ALTITUDE; Antarctica; Atmospheric soundings; DATE/TIME; Davis_Station; Humidity, relative; Humidity, relative, with respect to ice; Humidity, specific; Pressure, at given altitude; Research station; RS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 63042 data points
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  • 10
    Publication Date: 2024-04-20
    Description: This dataset contains radar and ground-based measurements of precipitation collected from 08 to 10 January 2019 at Davis station, Antarctica. It includes observations from an X-band dual-polarisation Doppler radar, a W-band Doppler cloud profiler, a VHF wind profiler, and a Raman Lidar. A classification of hydrometeor types based on dual-polarisation measurements is also available. The dual-frequency ratio based on the X-band and W-band reflectivity measurements is made available on a common grid. WRF simulations at 27, 9, 3, and 1 km resolution centred around Davis are provided. Finally, automatic weather station and radiosounding measurements are also included.
    Keywords: Antarctica; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Davis_Station; Description; Method comment; radar; Research station; RS; snowfall measurements; WRF
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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