ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • PANGAEA  (60)
  • Wiley-Blackwell  (4)
  • Springer Nature  (2)
  • American Physical Society
  • 2020-2024  (63)
  • 1935-1939  (3)
Collection
Keywords
Years
Year
  • 1
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Zeitschrift für anorganische Chemie 224 (1935), S. 1-22 
    ISSN: 0863-1786
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: 1. Der Abbau von Na2B4O7·10H2O schlägt, wie durch tensimetrische Messungen und durch Entwässerungsversuche über Trockenmitteln erkannt, je nach Vorbehandlung der untersuchten Präparate zwei grundsätzlich verschiedene Wege ein: Ein zuvor auf etwa 50° angetempertes Zehnhydrat geht in scharf ausgeprägter Stufe (10 mm isobar bei 20°) reversibel in kristallines Fünfhydrat über  -  „stabiler Abbau“  - , und dessen weiteres Verhalten entspricht ganz dem des oberhalb 60° aus Lösung kristallisierenden Pentahydrates. Frisch umkristallisiertes, „ungeschmortes“ Zehnhydrat hingegen wird bei gleicher Temperatur unter Entwicklung eines sehr viel kleineren Dampfdruckes, selbst nach langen Reaktionszeiten, zu einer viel wasserärmeren Stufe abgebaut. Der Bodenkörper zeigt bei einem Restgehalt von 5Mol H2O noch deutlich, bei 3 Mol und darunter abklingend die Interferenzen des Zehnhydrates neben zunehmend amorpher Beschaffenheit, die mit 2 Mol Restwasser praktisch voll erreicht ist. Dieser „instabile Abbauvorgang“ ist nicht reversibel; vorsichtige Wiederanwässerung der Rückstände aus dem Dampfraum oder auch leichtes Antempern der zwischen 10 und 3H2O liegenden Bodenkörper, etwa auf 50°, fuhrt diese „instabilen“ Abbausysteme in die „stabilen“ Verhältnisse über, d. h. veranlaßt  -  rontgenographisch festgestellt  -  die Bildung des Fünfhydrates.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Electronic Resource
    Electronic Resource
    New York, NY : Wiley-Blackwell
    Journal für Praktische Chemie/Chemiker-Zeitung 151 (1938), S. 307-311 
    ISSN: 0021-8383
    Keywords: Chemistry ; Organic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Berichte der deutschen chemischen Gesellschaft 71 (1938), S. 1973-1980 
    ISSN: 0365-9631
    Keywords: Chemistry ; Inorganic Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-03-21
    Description: Precipitation extremes with devastating socioeconomic consequences within the South American Monsoon System (SAMS) are expected to become more frequent in the near future. The complexity in SAMS behavior, however, poses severe challenges for reliable future projections. Thus, robust paleomonsoon records are needed to constrain the high spatiotemporal variability in the response of SAMS rainfall to different climatic drivers. This study uses Ti/Ca ratios from X‐ray fluorescence scanning of a sediment core retrieved off eastern Brazilian to trace precipitation changes over the past 322 Kyr. The results indicate that despite the spatiotemporal complexity of the SAMS, insolation forcing is the primary pacemaker of variations in the monsoonal system. Additional modulation by atmospheric p CO 2 suggests that SAMS intensity over eastern Brazil will be suppressed by rising CO 2 emissions in the future. Lastly, our record reveals an unprecedented strong and persistent wet period during Marine Isotope Stage 6 driven by anomalously strong trade winds.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-03-05
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 06.03.2019 and 24.03.2019.
    Keywords: Helmholtz-Zentrum Hereon; Hereon
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-02-24
    Description: This dataset is a synthesis of published nitrous oxide (N2O) fluxes from permafrost-affected soils in Arctic, Antarctic, and Alpine permafrost regions. The data includes mean N2O flux rates measured under field (in situ) conditions and in intact plant-soil systems (mesocosms) under near-field conditions. The dataset further includes explanatory environmental parameters such as meteorological data, soil physical-chemical properties, as well as site and experimental information. Data has been synthesized from published studies (see 'Further details'), and in some cases the authors of published studies have been contacted for additional site-level information. The dataset includes studies published until 2019. We encourage linking additional N2O flux data from unpublished and future studies with similar metadata structure to this dataset, to produce a comprehensive, findable database for N2O fluxes from permafrost regions.
    Keywords: Abisko_N2O; Alexandra_Fjord_N2O; Ammonium; Analytical method; Antarctica; Ardley_Island_N2O; Area/locality; Boniface_River_N2O; Canada; Cape_Bounty_N2O; Carbon/Nitrogen ratio; China; Churchill_N2O; Country; Daring_Lake_N2O; Daxing-an_Mountains_N2O; Day; Denmark; Density, active layer, bulk; Disturbance Type; Dome_Desert_N2O; Eagle_Plains_N2O; Eboling_Mountains_N2O; Ecosystem; Event label; Expedition_Fjord_N2O; Experimental treatment; Fenghuo_Mountains_N2O; Fildes_Peninsula_N2O; Finland; Garwood_Valley_N2O; Geermu_N2O; Great_Hing-an_Mountains_N2O; Haibei_N2O; Hemeroby/disturbance; Inner_Mongolia_N2O; Kilpisjaervi_N2O; LATITUDE; Location; LONGITUDE; Luanhaizi_N2O; Month; Nagqu_N2O; Nitrate; Nitrogen, soil; Nitrous oxide, flux, in mass nitrous oxide; Niwot_Ridge_N2O; Norway; Number of measurements; Number of measurement seasons; Number of points; Ny-Alesund_N2O; Okse_Bay_N2O; Organic carbon, soil; Original unit; Original value; Patterson_River_N2O; Permafrost extent; pH, soil; Precipitation, annual mean; Presence/absence; Publication of data; Reference of data; Replicates; Russia; Sample code/label; Seida_I_N2O; Seida_II_N2O; Site; Sodankylae_N2O; Soil moisture; Soil organic matter; Soil water content, gravimetric; Soil water content, volumetric; Sweden; Temperature, air; Temperature, air, annual mean; Temperature, soil; Thaw depth of active layer, maximum; Thaw depth of active layer, mean; Time in minutes; Truelove_Lowland_N2O; Tura_N2O; Type of chamber; Type of study; United States of America; Utsjoki_N2O; Vegetation type; Water filled pore space; Water filled pore space, calculated; Water holding capacity; Wudaoliang_N2O; Yakutsk_N2O; Year of observation; Yukon_Delta_N2O; Zackenberg_N2O; Zone
    Type: Dataset
    Format: text/tab-separated-values, 10302 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-05-17
    Description: During MOSAiC-ACA field campaign in late summer 2020 the Basler BT-67 research aircraft Polar 5 based in Spitzbergen (78.24 N, 15.49 E) was equiped with an advanced in-situ cloud payload by the DLR including a combination of the Cloud Droplet Probe, Cloud Imaging Probe and Precipitation Imaging Probe. The data sets provides data from all DLR particle measurement instruments including micropysical cloud properties like particle size distribution, total particle number concentration, effective diameter, median volume diameter and an estimated cloud/liquid/ice water content. In combination the dataset includes all particle sizes from 2.8 - 6400.0µm in diameter. In addition to the particle measurement systems the Nevzorov probe provides bulk measurements of the liquid and total water content. These cloud measurements were mainly conducted in low and midlevel clouds in the Fram Strait over sea ice and the open ocean. This measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3.
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Binary Object; Binary Object (File Size); CDP; CIP; Cloud droplet probe; Cloud imaging probe; Cloud Microphysics; clouds; Date/Time of event; Date/Time of event 2; Event label; Fram Strait; In-situ; In-Situ Measurements; Latitude of event; Longitude of event; mixed-phase clouds; MOSAiC; MOSAiC20192020; MOSAiC-ACA; Multidisciplinary drifting Observatory for the Study of Arctic Climate; NEVZ; Nevzorov probe; P5_223_MOSAiC_ACA_2020_2008310301; P5_223_MOSAiC_ACA_2020_2009020501; P5_223_MOSAiC_ACA_2020_2009040601; P5_223_MOSAiC_ACA_2020_2009070701; P5_223_MOSAiC_ACA_2020_2009080801; P5_223_MOSAiC_ACA_2020_2009100901; P5_223_MOSAiC_ACA_2020_2009111001; P5_223_MOSAiC_ACA_2020_2009131101; P5-223_MOSAiC_ACA_2020; Particle measurement system; PIP; PMS; POLAR 5; Precipitation imaging probe; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-06-25
    Description: Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 06.03.2019 and 24.03.2019 within the context of the Hereon-BSH project OffChEm. The surface sediment samples were taken by a box grab, homogenized, freeze-dried and wet-sieved to gain the 〈20 µm grain size fraction. The 〈20 µm grain size fraction was acid digested and measured by ICP-MS/MS for their (trace) metal mass fractions. The Sr and Pb isotope ratios were measured by MC ICP-MS after an automated matrix separation with a prepFAST MCTM system.
    Keywords: Aluminium; Aluminium, limit of detection; Aluminium, limit of quantification; Aluminium, uncertainty; Arsenic; Arsenic, limit of detection; Arsenic, limit of quantification; Arsenic, uncertainty; AT275; AT275_Stat_S_097_HELW5; Atair; Atair275; Atair275_11; Atair275_12; Atair275_13; Atair275_14; Atair275_17; Atair275_18; Atair275_19; Atair275_2; Atair275_20; Atair275_21; Atair275_22; Atair275_23; Atair275_24; Atair275_25; Atair275_26; Atair275_27; Atair275_28; Atair275_29; Atair275_30; Atair275_31; Atair275_32; Atair275_33; Atair275_34; Atair275_35; Atair275_36; Atair275_39; Atair275_4; Atair275_40; Atair275_41; Atair275_42; Atair275_43; Atair275_44; Atair275_45; Atair275_46; Atair275_47; Atair275_48; Atair275_49; Atair275_5; Atair275_52; Atair275_53; Atair275_54; Atair275_55; Atair275_56; Atair275_57; Atair275_58; Atair275_60; Atair275_61; Atair275_62; Atair275_64; Atair275_65; Atair275_67; Atair275_68; Atair275_69; Atair275_7; Atair275_70; Atair275_71; Atair275_72; Atair275_73; Atair275_75; Atair275_78; Atair275_79; Atair275_8; Atair275_80; Atair275_81; Atair275_82; Atair275_83; Atair275_84; Atair275_85; Atair275_86; Atair275_87; Atair275_88; Atair275_89; Atair275_9; Atair275_91; Atair275_92; Atair275_93; Atair275_94; Atair275_95; Atair275_96; Atair275_97; Barium; Barium, limit of detection; Barium, limit of quantification; Barium, uncertainty; Beryllium; Beryllium, limit of detection; Beryllium, limit of quantification; Beryllium, uncertainty; Bismuth; Bismuth, limit of detection; Bismuth, limit of quantification; Bismuth, uncertainty; Cadmium; Cadmium, limit of detection; Cadmium, limit of quantification; Cadmium, uncertainty; Caesium; Caesium, limit of detection; Caesium, limit of quantification; Caesium, uncertainty; Calcium; Calcium, limit of detection; Calcium, limit of quantification; Calcium, uncertainty; Cerium; Cerium, limit of detection; Cerium, limit of quantification; Cerium, uncertainty; Chromium; Chromium, limit of detection; Chromium, limit of quantification; Chromium, uncertainty; Cobalt; Cobalt, limit of detection; Cobalt, limit of quantification; Cobalt, uncertainty; DEPTH, sediment/rock; Dysprosium; Dysprosium, limit of detection; Dysprosium, limit of quantification; Dysprosium, uncertainty; Element analysis grain size fraction 〈 20 microns via ICP-MS (total digest); Erbium; Erbium, limit of detection; Erbium, limit of quantification; Erbium, uncertainty; Europium; Europium, limit of detection; Europium, limit of quantification; Europium, uncertainty; Event label; Gadolinium; Gadolinium, limit of detection; Gadolinium, limit of quantification; Gadolinium, uncertainty; Gallium; Gallium, limit of detection; Gallium, limit of quantification; Gallium, uncertainty; Germanium; Germanium, limit of detection; Germanium, limit of quantification; Germanium, uncertainty; Helmholtz-Zentrum Hereon; Hereon; Holmium; Holmium, limit of detection; Holmium, limit of quantification; Holmium, uncertainty; Indium; Indium, limit of detection; Indium, limit of quantification; Indium, uncertainty; International Generic Sample Number; Iron; Iron, limit of detection; Iron, limit of quantification; Iron, uncertainty; Lanthanum; Lanthanum, limit of detection; Lanthanum, limit of quantification; Lanthanum, uncertainty; Lead; Lead, limit of detection; Lead, limit of quantification; Lead, uncertainty; Lead-206/Lead-204 ratio; Lead-206/Lead-204 ratio, uncertainty; Lead-207/Lead-204 ratio; Lead-207/Lead-204 ratio, uncertainty; Lead-207/Lead-206 ratio; Lead-207/Lead-206 ratio, uncertainty; Lead-208/Lead-204 ratio; Lead-208/Lead-204 ratio, uncertainty; Lead-208/Lead-206 ratio; Lead-208/Lead-206 ratio, uncertainty; Lead-208/Lead-207 ratio; Lead-208/Lead-207 ratio, uncertainty; Lithium; Lithium, limit of detection; Lithium, limit of quantification; Lithium, uncertainty; Lutetium; Lutetium, limit of detection; Lutetium, limit of quantification; Lutetium, uncertainty; Magnesium, limit of detection; Magnesium, limit of quantification; Magnesium, uncertainty; Manganese; Manganese, limit of detection; Manganese, limit of quantification; Manganese, uncertainty; Mercury; Mercury, limit of detection; Mercury, limit of quantification; Mercury, uncertainty; Molybdenum; Molybdenum, limit of detection; Molybdenum, limit of quantification; Molybdenum, uncertainty; MULT; Multi-collector ICP-MS (MC-ICP-MS), Nu Plasma II, Wrexham, UK; External intra-elemental calibration using NIST SRM 981; Multi-collector ICP-MS (MC-ICP-MS), Nu Plasma II, Wrexham, UK; External intra-elemental calibration using NIST SRM 987; Multiple investigations; Neodymium; Neodymium, limit of detection; Neodymium, limit of quantification; Neodymium, uncertainty; Nickel; Nickel, limit of detection; Nickel, limit of quantification; Nickel, uncertainty; Niobium; Niobium, limit of detection; Niobium, limit of quantification; Niobium, uncertainty; North Sea; Phosphorus; Phosphorus, limit of detection; Phosphorus, limit of quantification; Phosphorus, uncertainty; Potassium; Potassium, limit of detection; Potassium, limit of quantification; Potassium, uncertainty; Praseodymium; Praseodymium, limit of detection; Praseodymium, limit of quantification; Praseodymium, uncertainty; Rubidium; Rubidium, limit of detection; Rubidium, limit of quantification; Rubidium, uncertainty; S_002_AMWE4; S_004_AMWE3; S_005_AMWE7; S_007_AMWE5; S_008_AMWE6; S_009_AMWE15; S_011_AMWE19; S_012_AMWE20; S_013_AMWE21; S_014_AMWE22; S_017_NOST4; S_018_NOST1; S_019_NOST5; S_020_NOST6; S_021_NOST7; S_022_NOST3; S_023_NOST42; S_024_NOST43; S_025_NOST35; S_026_TI7; S_027_MEWI1; S_028_MEWI3; S_029_MEWI6; S_030_TI13; S_031_MEWI7; S_032_MEWI36; S_033_MEWI37; S_034_MEWI38; S_035_MEWI40; S_036_MEWI41; S_039_DOLW1; S_040_ALVE5; S_041_ALVE4; S_042_ALVE2; S_043_ALVE3; S_044_ALVE1; S_045_BKRI5; S_046_BKRI4; S_047_BKRI3; S_048_BKRI2; S_049_BKRI1; S_052_GOWI10; S_053_GOWI6; S_054_GOWI7; S_055_GOWI9; S_056_GOWI11; S_057_GOWI4; S_058_GOWI3; S_060_GOWI2; S_061_GOWI1; S_062_GOWI8; S_064_GOWI54; S_065_GOWI59; S_067_GOWI26; S_068_GOWI24; S_069_GOWI21; S_070_GOWI25; S_071_GOWI20; S_072_GOWI22; S_073_GOWI23; S_075_GOWI29; S_078_GOWI55; S_079_GOWI57; S_080_DOLW7; S_081_VEJA02; S_082_VEJA03; S_083_VEJA04; S_084_VEJA05; S_085_VEJA06; S_086_VEJA08; S_087_VEJA09; S_088_VEJA10; S_089_VEJA11; S_091_DOLW8; S_092_DOLW10; S_093_DOLW9; S_094_VEJA16; S_095_HELW1; S_096_HELW4; Samarium; Samarium, limit of detection; Samarium, limit of quantification; Samarium, uncertainty; Sample code/label; Sample method; Scandium; Scandium, limit of detection; Scandium, limit of quantification; Scandium, uncertainty; Selenium; Selenium, limit of detection; Selenium, limit of quantification; Selenium, uncertainty; Silver; Silver, limit of detection; Silver, limit of quantification; Silver, uncertainty; Sodium; Sodium, limit of detection; Sodium, limit of quantification; Sodium, uncertainty; Station label; Strontium; Strontium, limit of detection; Strontium, limit of quantification; Strontium, uncertainty; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; Tantalum; Tantalum, limit of detection; Tantalum, limit of quantification; Tantalum, uncertainty; Tellurium; Tellurium, limit of detection; Tellurium, limit of quantification; Tellurium, uncertainty; Terbium; Terbium, limit of detection; Terbium, limit of quantification; Terbium, uncertainty; Thallium; Thallium, limit of detection; Thallium, limit of quantification; Thallium, uncertainty; Thorium; Thorium, limit of detection; Thorium, limit of quantification; Thorium, uncertainty; Thulium; Thulium, limit of detection; Thulium, limit of quantification; Thulium, uncertainty; Titanium; Titanium, limit of detection; Titanium, limit of quantification; Titanium, uncertainty; Tungsten; Tungsten, limit of detection; Tungsten, limit of quantification; Tungsten, uncertainty; Uranium; Uranium, limit of detection; Uranium, limit of quantification; Uranium, uncertainty; Vanadium; Vanadium, limit of detection; Vanadium, limit
    Type: Dataset
    Format: text/tab-separated-values, 17568 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-06-25
    Description: During the HALO-(AC)³ field campaign in spring 2022, the Basler BT-67 research aircraft Polar 6, based in Spitzbergen (78.24 N, 15.49 E), was equipped with an advanced in situ cloud payload by the DLR. This payload contained a combination of cloud instruments, including the Cloud Droplet Probe (CDP), the Cloud Imaging Probe (CIP), and the Precipitation Imaging Probe (PIP). The published data contain the particle size distributions measured by each particle measurement system. The respective instruments operate in different size ranges, and by combining their data, an additional data set is calculated that covers cloud particles in the size range from 2.8 µm to 6400 µm. Microphysical cloud properties such as cloud particle number concentration, liquid water content, ice water content, and effective diameter are derived from the given particle size distributions. The in situ cloud measurements focused on low and mid-level clouds in the Fram Strait, over the sea ice and the open ocean. The measurement campaign is embedded in the Transregional Collaborative Research Centre TR 172 (ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³).
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; CDP; CIP; Cloud droplet probe; Cloud imaging probe; Date/Time of event; Event label; HALO - (AC)3; HALO-AC3_20220320_P6_RF01; HALO-AC3_20220322_P6_RF02; HALO-AC3_20220324_P6_RF03; 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; netCDF file; 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; PIP; POLAR 6; Precipitation imaging probe
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-06-25
    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
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...