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  • Institute of Physics  (1,082,725)
  • Wiley-Blackwell  (471,889)
  • PANGAEA  (423,137)
  • Periodicals Archive Online (PAO)  (190,459)
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  • 1
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    Unknown
    PANGAEA
    In:  Hungarian Meteorological Service
    Publication Date: 2024-06-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; BUD; Budapest-Lorinc; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; Hungary, Budapest; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP11, SN 080466, WRMC No. 14001; Pyranometer, Kipp & Zonen, CMP6, SN 080293, WRMC No. 14005; Pyranometer, Kipp & Zonen, CMP6, SN 080519, WRMC No. 14003; Pyrgeometer, Kipp & Zonen, CGR3, SN 080116, WRMC No. 14006; Pyrgeometer, Kipp & Zonen, CGR4, SN 080054, WRMC No. 14004; Pyrheliometer, Kipp & Zonen, CH1, SN 980172, WRMC No. 14002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1201688 data points
    Location Call Number Expected Availability
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  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Hungarian Meteorological Service
    Publication Date: 2024-06-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; BUD; Budapest-Lorinc; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; Hungary, Budapest; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP11, SN 080466, WRMC No. 14001; Pyranometer, Kipp & Zonen, CMP6, SN 080293, WRMC No. 14005; Pyranometer, Kipp & Zonen, CMP6, SN 080519, WRMC No. 14003; Pyrgeometer, Kipp & Zonen, CGR3, SN 080116, WRMC No. 14006; Pyrgeometer, Kipp & Zonen, CGR4, SN 080054, WRMC No. 14004; Pyrheliometer, Kipp & Zonen, CH1, SN 980172, WRMC No. 14002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1084512 data points
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Hungarian Meteorological Service
    Publication Date: 2024-06-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; BUD; Budapest-Lorinc; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; Hungary, Budapest; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP11, SN 080466, WRMC No. 14001; Pyranometer, Kipp & Zonen, CMP6, SN 080293, WRMC No. 14005; Pyranometer, Kipp & Zonen, CMP6, SN 080519, WRMC No. 14003; Pyrgeometer, Kipp & Zonen, CGR3, SN 080116, WRMC No. 14006; Pyrgeometer, Kipp & Zonen, CGR4, SN 080054, WRMC No. 14004; Pyrheliometer, Kipp & Zonen, CH1, SN 980172, WRMC No. 14002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1123056 data points
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  • 4
    Publication Date: 2024-06-21
    Keywords: 40Ar/39Ar geochronology; Age, mineral; Age, standard deviation; Analysis; argon; biotite; Calculated, 2 sigma; ELEVATION; Geological sample; GEOS; Himalaya; hornblende; LATITUDE; LONGITUDE; Marsyangdi_Valley; Mineral age, Biotite; muscovite; Sample ID; thermochronology
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 5
    Publication Date: 2024-06-21
    Keywords: 40Ar/39Ar geochronology; Age, mineral; Age, standard deviation; Analysis; argon; biotite; Calculated, 2 sigma; ELEVATION; Geological sample; GEOS; Himalaya; hornblende; LATITUDE; LONGITUDE; Marsyangdi_Valley; Mineral age, Biotite; muscovite; Sample ID; thermochronology
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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  • 6
    Publication Date: 2024-06-21
    Description: Liquid water content and total water content from the Nevzorov probe, collected during the HALO-AC³ campaign out of Longyearbyen, Svalbard in April 2022. The dataset contains measurements from the three collector sensors of the Nevzorov probe. These are the cylindrical LWC sensor, the 8 mm TWC cone and the 12 mm TWC cone (for a description of the probe see doi:10.1175/1520-0426(1998)015〈1495:TNAHWL〉2.0.CO;2, doi:10.5194/egusphere-2022-647 ). Furthermore, corrected LWC and TWC values are contained in the dataset. These values are best estimates of LWC and TWC. They are computed by solving a system of equations and they consider collection efficiencies, the different latent heats of water and ice and the sensitivity of the LWC sensor to ice particles. For a description of the computation see Lucke et al. (2023) (doi:10.4271/2023-01-1485). However, for this data, the 12 mm cone was not included in the computation, as its data were deemed to be too unreliable in conditions where droplet diameters are low. NaNs are represented as 9999.999 in the dataset. The dataset only contains research flight 8 - 13. For the previous flights a problem with the probe existed and no data was recorded.
    Keywords: AC; Aircraft; Arctic; Arctic Amplification; Date/Time of event; Event label; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220409_P6_RF12; HALO-AC3_20220410_P6_RF13; ice water content; IWC; liquid water content; LWC; mixed-phase clouds; netCDF file; netCDF file (File Size); NEVZ; Nevzorov probe; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204091501; P6_231_HALO_2022_2204101601; P6-231_HALO_2022; Polar 6; POLAR 6; Polarimetric Radar Observations meet Atmospheric Modelling (PROM) - Fusion of Radar Polarimetry and Numerical Atmospheric Modelling Towards an Improved Understanding of Cloud and Precipitation Processes; SPP2115_PROM; Svalbard; total water content; TWC
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 7
    Publication Date: 2024-06-21
    Description: This dataset contains the processed and raw data collected with the Backscatter Cloud Probe with Polarization Detection during the HALO-AC³ campaign in March and April 2022 with the Polar 6 Aircraft out of Longyearbyen, Svalbard. The dataset contains two kinds of data. Data to which no inversion procedure has been applied and data to which the inversion procedure has been applied. The inversion procedure is applied to account for an uneven intensity of the laser beam across the sample area and resulting undersizing effects. The inversion procedure has been discussed in Lucke et al. (2023) (doi.org/10.4271/2023-01-1485) and Beswick et al. (2014) (doi.org/10.5194/amt-7-1443-2014). All quantities which carry the suffix inv are based on the inverted data, all other properties are not. It should be noted, that the necessity of the inversion procedure remains unclear (see the previously mentioned publications). The inversion procedure could only be applied when more than 2000 particles were present over a 5 second interval. When this was not the case, the inverted data are 9999.999. The inverted data are therefore also computed from a 5s rolling average. The measurements of the BCPD are likely severely influenced by inertial separation effects, due to the proximity of the BCPD sample area to the fuselage (approx. 3cm). When ice particles are present, shattering occurs on the fuselage and artificially increases the ice number concentration. The number of ice and liquid particles listed in this data set can be useful for assessing the presence of ice and liquid particles. To estimate the number of liquid and ice particles more than 100 particles are required over a 5s interval. When this is not the case, the data are 9999.999. The number of ice and liquid particles were computed as rolling averages over 5s intervals. The sample area in case no inversion procedure is applied is 0.273 square millimeters.
    Keywords: AC; Aircraft; Arctic; Backscatter Cloud Probe with Polarization Detection; BCPD; Date/Time of event; Event label; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; HALO-AC3_20220322_P6_RF02; HALO-AC3_20220326_P6_RF04; HALO-AC3_20220328_P6_RF05; HALO-AC3_20220329_P6_RF06; HALO-AC3_20220330_P6_RF07; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220409_P6_RF12; HALO-AC3_20220410_P6_RF13; mixed-phase clouds; netCDF file; netCDF file (File Size); P6_231_HALO_2022_2203200401; P6_231_HALO_2022_2203220501; P6_231_HALO_2022_2203260702; P6_231_HALO_2022_2203280801; P6_231_HALO_2022_2203290901; P6_231_HALO_2022_2203301001; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204091501; P6_231_HALO_2022_2204101601; P6-231_HALO_2022; Particle size distributions; Phase differentiation; POLAR 6; Polarimetric Radar Observations meet Atmospheric Modelling (PROM) - Fusion of Radar Polarimetry and Numerical Atmospheric Modelling Towards an Improved Understanding of Cloud and Precipitation Processes; SPP2115_PROM; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 8
    Publication Date: 2024-06-21
    Description: During the HALO-(AC)³ campaign performed in March/April 2022, broadband solar and thermal-infrared irradiances in the vicinity of Svalbard were measured by pairs of CMP22 (0.2-3.6 µm) and CGR4 (4.5-42 µm) radiometers (Kipp&Zonen), respectively, onboard Polar 5 and Polar 6. The data set contains time series of both upward and downward solar and thermal-infrared irradiances obtained during in total 26 research flights (13 with each aircraft). All irradiances were corrected for instrument inertia (Ehrlich and Wendisch, 2015), the solar downward irradiance additionally for the aircraft attitude (Bannehr and Schwiesow, 1993). Since the latter correction is only valid for cloud-free conditions dominated by direct illumination, both a corrected and an uncorrected version are given. A rough cloud flag is included in the data set to distinguish between situations dominated by direct and diffuse illumination. To avoid too large uncertainties, the attitude flag can be used to filter situations with aircraft attitude angles (roll, pitch) exceeding 5°. Additionally, obvious icing and large temperature gradients, which disturb the thermal equilibrium between sensor and instrument body, are flagged. The data set further contains the solar downward irradiance simulated for cloud-free conditions and the upward brightness temperature measured by the KT-19 infrared thermometer (HEITRONICS, 9.6-11.5 µm).
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Broadband radiation; Campaign of event; Date/Time of event; Event label; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220320_P6_RF01; HALO-AC3_20220322_P5_RF02; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220322_P6_RF02; HALO-AC3_20220324_P6_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220326_P6_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220328_P6_RF05; HALO-AC3_20220329_P5_RF06; HALO-AC3_20220329_P5_RF07; HALO-AC3_20220329_P6_RF06; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220330_P6_RF07; HALO-AC3_20220401_P5_RF09; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P5_RF10; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220409_P6_RF12; HALO-AC3_20220410_P5_RF13; HALO-AC3_20220410_P6_RF13; irradiance; netCDF file; netCDF file (File Size); P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220501; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203290901; P5_232_HALO_2022_2203291002; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204011201; P5_232_HALO_2022_2204041301; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; P6_231_HALO_2022_2203200401; P6_231_HALO_2022_2203220501; P6_231_HALO_2022_2203240601; P6_231_HALO_2022_2203260702; P6_231_HALO_2022_2203280801; P6_231_HALO_2022_2203290901; P6_231_HALO_2022_2203301001; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204091501; P6_231_HALO_2022_2204101601; P6-231_HALO_2022; Polar 5; POLAR 5; Polar 6; POLAR 6; Radiometers, Kipp & Zonen, CMP22 (0.2-3.6 µm) and CGR4 (4.5-42 µm)
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 9
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    Unknown
    PANGAEA
    In:  Hungarian Meteorological Service
    Publication Date: 2024-06-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; BUD; Budapest-Lorinc; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; Hungary, Budapest; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP11, SN 080466, WRMC No. 14001; Pyranometer, Kipp & Zonen, CMP6, SN 080293, WRMC No. 14005; Pyranometer, Kipp & Zonen, CMP6, SN 080519, WRMC No. 14003; Pyrgeometer, Kipp & Zonen, CGR3, SN 080116, WRMC No. 14006; Pyrgeometer, Kipp & Zonen, CGR4, SN 080054, WRMC No. 14004; Pyrheliometer, Kipp & Zonen, CH1, SN 980172, WRMC No. 14002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 849952 data points
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Hungarian Meteorological Service
    Publication Date: 2024-06-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; BUD; Budapest-Lorinc; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; Hungary, Budapest; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP11, SN 080466, WRMC No. 14001; Pyranometer, Kipp & Zonen, CMP6, SN 080293, WRMC No. 14005; Pyranometer, Kipp & Zonen, CMP6, SN 080519, WRMC No. 14003; Pyrgeometer, Kipp & Zonen, CGR3, SN 080116, WRMC No. 14006; Pyrgeometer, Kipp & Zonen, CGR4, SN 080054, WRMC No. 14004; Pyrheliometer, Kipp & Zonen, CH1, SN 980172, WRMC No. 14002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1050752 data points
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