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  • English  (3)
  • 2020-2023  (2)
  • 1935-1939  (1)
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  • 1
    Call number: AWI PY-1899-13,1
    In: British Polar Year Expedition, Vol. 1
    Type of Medium: Monograph non-lending collection
    Pages: XIII, 336 S. , Ill.
    Language: English
    Note: Table of Contents: GENERAL INTRODUCTION. - Figures. - North Arm of Great Slave Lake, showing positions of present and former Fort Rae sites. - Site plan of station. - METEOROLOGY. - Introduction. - PART 1. - TEMPERATURE. - 1. Instruments, exposures, and methods. - 2. Annual variation of temperature. - 3. Diurnal variation of temperature. - 4. The effect of cloud and wind upon temperature. - 5. Temperature and wind direction. - 6. Non-periodic temperature changes. - PART 2. - PRESSURE. - 1. Instruments and methods. - 2. Annual variation of pressure. - 3. Diurnal variation of pressure. - 4. Non-periodic pressure changes. - 5. Pressure waves. - 6. Pressure surges. - PART 3. - SURFACE WIND. - 1. Instruments, exposures, and methods. - 2. Annual variation of wind velocity. - 3. Diurnal variation of wind velocity. - 4. Frequency of winds of different velocities. - 5. Frequency of winds of different directions and of calms. - 6. SE. and NW. wind at Fort Rae. - 7. Velocity of winds from different directions. - 8. Distribution of wind velocities from different directions. - 9. Highest instantaneous wind speeds and extreme hourly winds. - 10. The effect of the NW. and SE. wind upon the meteorological elements. - 11. The resultant winds. - 12. Diurnal inequalitites of N. and E. components of resultant winds. - PART 4. - UPPER WINDS. - 1. General remarks. - 2. Monthly and seasonal mean wind velocities at different heights. - 3. Frequency of wind from various directions in the upper atmosphere. - 4. Distribution oof wind at different levels irrespective of direction. - 5. Mean wind velocities from different directions at different levels. - 6. Resultant winds in the upper atmosphere. - 7. The direction of the wind in the upper atmosphere when the wind at the surface is from stated directions. - PART 5. - UPPER AIR TEMPERATURE AND PRESSURE. - PART 6. - CLOUDS. - 1. General. - 2. Percentage frequency of different could forms. - 3. Cloud amount: percentage frequency of each cloud amount. - 4. Annual variation of cloud. - 5. Diurnal variation of cloud. - PART 7. - PRECIPITATION. - 1. Instruments and methods. - 2. Annual variation of precipitation. - 3. Snow crystals. - PART 8. - RELATIVE HUMIDITY OF THE AIR. - 1. General. - 2. Mean monthly values of humidity during the winter months. - 3. Annual variation of the relative humidity. - 4. Diurnal variation of the relative humidity. - PART 9. - SUNSHINE AND RADIATION. - PART 10. - HALO PHENOMENA. - PART 11. - VISIBILITY. - PART 12. - THE METEOGRAPH DIAGRAMS. - TERRESTRIAL MAGNETISM AND AURORA. - 1. Magnetograph chamber. - 2. Temperature insulation of the magnetograph hut. - 3. Temperature variation within the recording chamber. - 4. Recording instruments. - 5. ILLUMINATION. - 6. TIMING. - 7. CONTROL HUT AND CONTROL INSTRUMENTS USED. - 8. CONTROL OBSERVATIONS OF H. - 9. CONTROL OBSERVATIONS OF D. - 10. AZIMUTH MARK. - 11. CONTROL OBSERVATIONS OF INCLINATION. - 12. PROCEDURE IN CONTROL OBSERVATIONS. - 13. SUMMARISED RESULTS OF CONTROL OBSERVATIONS. - 14. SCALE VALUES OF DECLINATION MAGNETOGRAPHS. - 15. SCALE VALUES OF H AND Z MAGNETOGRAPHS. - 16. EFFECT ON SCALE VALUES OF GREAT SEASONAL RANGE OF HUMIDITY WITHIN THE RECORDING CHAMBER. - 17. TEMPERATURE COEFFICIENTS OF H AND Z VARIOMETERS. - 18. METHODS OF DETERMINING TEMPERATURE COEFFICIENTS OF VARIOMETERS. - 19. ASSIGNMENT OF H BASE LINE VALUES DURING PERIODS OF LARGE TEMPERATURE COEFFICIENT OF VARIOMETER. - 20. ASSIGNMENT OF H BASE LINE VALUES IN GENERAL. - 21. Z BASE LINE VALUES DURING PERIOD OF LARGE TEMPERATURE COEFFICIENT OF VARIOMETER. - 22. Z BASE LINE VALUES IN GENERAL. - 23. USE OF AUXILIARY H AND Z MAGNETOGRAPHS. - 24. D BASE LINE VALUES. - 25. MONTHLY MEAN VALUES: THE ANNUAL VARIATION AND SECULAR CHANGE. - 26. MONTHLY AND SEASONAL VALUES OF N, E, T, I, AND A. - 27. COMPARISON OBSERVATIONS AT 1882-83 (OLD FORT) STATION. - 28. DETERMINATION OF H AT OLD FORT RAE. - 29. DETERMINATION OF D AT OLD FORT RAE. - 30. DETERMINATION OF I AT OLD FORT RAE. - 31. SECULAR CHANGE AT OLD FORT RAE. - 32. LONGITUDE OF OLD FORT RAE SITE. - 33. AZIMUTH OF FIXED MARK AT OLD FORT RAE. - 34. RELATIONSRIPS BETWEEN ALL, QUIET, AND DISTURBED DAY VALUES AT THE MAIN STATION. - 35. NON-CYCLIC CHANGE. - 36. NON-CYCLIC CHANGE ON QUIET DAYS. - 37. EXAMINATION OF THE NEGATIVE NON-CYCLIC CHANGE ON q DAYS. - 38. NON-CYCLIC CHANGE ON DISTURBED DAYS. - 39. OVERLAPPING DAY MEANS. - 40. CHARACTERISTICS OF CURRENT SYSTEM NECESSARY TO PRODUCE H AND Z DEPARTURES FROM MEAN VALUES. - 41. POSITION OF CURRENT SYSTEM AND DIRECTION OF FLOW DEDUCED FROM MEAN H AND Z DEPARTURES AT OTHER STATIONS ON d DAYS. - 42. CONCLUSIONS REGARDING CURRENT CHARACTERISTICS ON DISTURBED DAYS. - 43. CURRENT SYSTEM ON q DAYS. - 44. CONSIDERATIONS UNDERLYING APPLICATION OF NON-CYCLIC CHANGE AND USE OF GREENWICH DAYS IN FORMATION OF DIURNAL INEQUALITIES. - 45. SOME FEATURES OF THE DIURNAL VARIATIONS. - 46. DIURNAL INEQUALITIES FOR SELECTED q AND d DAYS. - 47. MEAN ANNUAL VECTOR DIAGRAMS. - 48. SEASONAL VECTOR. DIAGRAMS. - 49. VECTOR DIAGRAMS ON d' AND q' DAYS. - 50. THE TOTAL FIELD VECTOR T AND ITS POSITIONAL CO-ORDINATES. - 51. SEASONAL MEAN VALUES OF T AND p IN DISTURBANCE. - 52. DIURNAL VARIATION OF T AND p IN DISTURBANCE. - 53. SOME DIURNALLY VARYING CHARACTERISTICS OF THE CURRENT SYSTEM PRODUCING DISTURBANCE. - 54. CHANGE IN POSITION OF DISTURBING CURRENT WITH SEASON. - 55 EFFECT OF INCREASED SCALE OF DISTURBANCE ON THE CURRENT SYSTEM. - 56. T AND p ON QUIET DAYS. - 57 RANGE AND AVERAGE DEPARTURES OF DIURNAL INEQUALITIES. - 58. COMPARISON OF INEQUALITY RANGE AND AVERAGE DEPARTURE AT FORT RAE WITH THOSE AT OTHER STATIONS. - 59. COMPARISON WITH 1882-83 INEQUALITY RANGES. - 60. ESTIMATE OF ELEVATION OF DISTURBING CURRENT SYSTEM FROM IR AND AD. - 61. HARMONIC ANALYSIS OF REGULAR DIURNAL VARIATIONS. - (i) 24-hour component. - (ii) 12-hour component. - (iii) 8-hour wave. - (iv) 6-hour wave. - 62. HARMONIC ANALYSIS OF MEAN INEQUALITIES FOR q' AND d' DAYS. - 63. ABSOLUTE DAILY RANGE: R. - 64. COMPARISON WITH 1882-83 RANGES. - 65. COMPARISON WITH R AT OTHER STATIONS. - 66. RELATION OF DISTURBANCE TO MAGNETIC LATITUDE. - 67. FREQUENCY DISTRIBUTION OF R. - 68. DIURNAL DISTRIBUTION OF TIMES OF INCIDENCE OF MAXIMA AND MINIMA. - 69. DIURNAL INCIDENCE OF EXTREME VALUES IN Z. - 70. INCIDENCE OF EXTREME VALUES IN H AND D. - 71. DAILY RANGE PRODUCTS HRH AND ZRz. - 72. HOURLY RANGES AND RANGE PRODUCTS. - 73. FREQUENCY DISTRIBUTION OF HOURLY RANGES IN REPRESENTATIVE MONTHS. - 74. RELATIONSHIPS AMONG THE HOURLY RANGES. - 75. RELATIVE MAGNITUDE OF PERTURBATIONS IN H AND Z. - 76. THE RATIO p = CR/Cr. - 77. SEASONAL DISTRIBUTION OF Cr AND ITS CONSTITUENTS. - 78. RANK ORDER OF DAYS, ON BASIS OF CR AND Cr: COMPARISON WITH INTERNATIONAL SELECTION OF q AND d DAYS. - 79. EFFECT OF USE OF GREENWICH DAY ON SELECTION OF q AND d DAYS. - 80. DIURNAL VARIATION OF IRREGULAR DISTURBANCE (Di). - 81. RELATION OF Di TO TIME DIFFERENTIALS OF FORCE VECTORS. - 82. CHARACTERISTICS OF D1. - 83. Di ON q' AND d' DAYS. - 84. HARMONIC ANALYSIS OF Di. - 85. LOCAL CHARACTER FIGURES. - 86. RANK ORDER OF MONTHS IN DISTURBANCE BY VARIOUS CRITERIA. - 87. INTERDIURNAL VARIABILITY OF H AND z: MONTHLY U ACTIVITY MEASURES. - 88. INTERDIURNAL VARIABILITY ON q' AND d' DAYS. - 89. COMPARISON OF COMPOSITE RANK ORDER OF MONTHS WITH INTERDIURNAL VARIABILITY MEASURES. - 90. DISTINCTIVE FEATURES OF DISTURBANCE. - 91. N DISTURBANCES. - 92. M DISTURBANCES. - 93. OSCILLATORY DISTURBANCE. - 94. RECOVERY MOVEMENTS. - 95. SEASONAL AND DIURNAL DISTRIBUTION OF N AND M MOVEMENTS. - 96. REPETITION OF ISOLATED PERTURBATIONS. - NON-INSTRUMENTAL AURORAL OBSERVATIONS. - 97. THE SCOPE OF THE OBSERVATIONS. - 98. ESTIMATION OF AURORAL INTENSITY. - 99. AURORAL "ACTIVITY" FIGURES. - 100. THE AURORAL LOG. - 101. SEASONAL DISTRIBUTION OF AURORAL FREQUENCY. - 102. AURORAL ACTIVITY OF THE YEAR: GENERAL NOTE. - 103. QUARTER-HOUR AURORAL INTENSITY FIGURES. - 104. MONTHLY DISTRIBUTION OF BRIGHT AURORA. - 105. DIURNAL
    Location: AWI Archive
    Branch Library: AWI Library
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  • 2
    Publication Date: 2022-10-04
    Description: The Arctic Ocean is considered a source of micronutrients to the Nordic Seas and the North Atlantic Ocean through the gateway of Fram Strait (FS). However, there is a paucity of trace element data from across the Arctic Ocean gateways, and so it remains unclear how Arctic and North Atlantic exchange shapes micronutrient availability in the two ocean basins. In 2015 and 2016, GEOTRACES cruises sampled the Barents Sea Opening (GN04, 2015) and FS (GN05, 2016) for dissolved iron (dFe), manganese (dMn), cobalt (dCo), nickel (dNi), copper (dCu) and zinc (dZn). Together with the most recent synopsis of Arctic‐Atlantic volume fluxes, the observed trace element distributions suggest that FS is the most important gateway for Arctic‐Atlantic dissolved micronutrient exchange as a consequence of Intermediate and Deep Water transport. Combining fluxes from FS and the Barents Sea Opening with estimates for Davis Strait (GN02, 2015) suggests an annual net southward flux of 2.7 ± 2.4 Gg·a−1 dFe, 0.3 ± 0.3 Gg·a−1 dCo, 15.0 ± 12.5 Gg·a−1 dNi and 14.2 ± 6.9 Gg·a−1 dCu from the Arctic toward the North Atlantic Ocean. Arctic‐Atlantic exchange of dMn and dZn were more balanced, with a net southbound flux of 2.8 ± 4.7 Gg·a−1 dMn and a net northbound flux of 3.0 ± 7.3 Gg·a−1 dZn. Our results suggest that ongoing changes to shelf inputs and sea ice dynamics in the Arctic, especially in Siberian shelf regions, affect micronutrient availability in FS and the high latitude North Atlantic Ocean.
    Description: Plain Language Summary: Recent studies have proposed that the Arctic Ocean is a source of micronutrients such as dissolved iron (dFe), manganese (dMn), cobalt (dCo), nickel (dNi), copper (dCu) and zinc (dZn) to the North Atlantic Ocean. However, data at the Arctic Ocean gateways including Fram Strait and the Barents Sea Opening have been missing to date and so the extent of Arctic micronutrient transport toward the Atlantic Ocean remains unquantified. Here, we show that Fram Strait is the most important gateway for Arctic‐Atlantic micronutrient exchange which is a result of deep water transport at depths 〉500 m. Combined with a flux estimate for Davis Strait, this study suggests that the Arctic Ocean is a net source of dFe, dNi and dCu, and possibly also dCo, toward the North Atlantic Ocean. Arctic‐Atlantic dMn and dZn exchange seems more balanced. Properties in the East Greenland Current showed substantial similarities to observations in the upstream Central Arctic Ocean, indicating that Fram Strait may export micronutrients from Siberian riverine discharge and shelf sediments 〉3,000 km away. Increasing Arctic river discharge, permafrost thaw and coastal erosion, all consequences of ongoing climate change, may therefore alter future Arctic Ocean micronutrient transport to the North Atlantic Ocean.
    Description: Key Points: Fram Strait is the major gateway for Arctic‐Atlantic exchange of the dissolved micronutrients Fe, Mn, Co, Ni, Cu and Zn. The Arctic is a net source of dissolved Fe, Co, Ni and Cu to the Nordic Seas and toward the North Atlantic; Mn and Zn exchange are balanced. Waters of the Central Arctic Ocean, including the Transpolar Drift, are the main drivers of gross Arctic micronutrient export.
    Description: German Research Foundation
    Description: Netherlands Organization for Scientific Research
    Description: https://doi.pangaea.de/10.1594/PANGAEA.859558
    Description: https://doi.pangaea.de/10.1594/PANGAEA.871030
    Description: https://doi.pangaea.de/10.1594/PANGAEA.868396
    Description: https://doi.pangaea.de/10.1594/PANGAEA.905347
    Description: https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.jc
    Description: https://doi.pangaea.de/10.1594/PANGAEA.933431
    Description: https://www.bco-dmo.org/dataset/718440
    Description: https://doi.org/10.1594/PANGAEA.936029
    Description: https://doi.org/10.1594/PANGAEA.936027
    Description: https://doi.pangaea.de/10.1594/PANGAEA.927429
    Keywords: ddc:551.9
    Language: English
    Type: doc-type:article
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  • 3
    Publication Date: 2022-10-04
    Description: Natural forcing from solar and volcanic activity contributes significantly to climate variability. The post‐eruption cooling of strong volcanic eruptions was hypothesized to have led to millennial‐scale variability during Glacials. Cooling induced by volcanic eruption is potentially weaker in the warmer climate. The underlying question is whether the climatic response to natural forcing is state‐dependent. Here, we quantify the response to natural forcing under Last Glacial and Pre‐Industrial conditions in an ensemble of climate model simulations. We evaluate internal and forced variability on annual to multicentennial scales. The global temperature response reveals no state dependency. Small local differences result mainly from state‐dependent sea ice changes. Variability in forced simulations matches paleoclimate reconstructions significantly better than in unforced scenarios. Considering natural forcing is therefore important for model‐data comparison and future projections.
    Description: Plain Language Summary: Climate variability describes the spatial and temporal variations of Earth's climate. Understanding these variations is important for estimating the occurrence of extreme climate events such as droughts. Yet, it is unclear whether climate variability depends on the mean surface temperature of the Earth or not. Here, we investigate the effects of natural forcing from volcanic eruptions and solar activity changes on climate variability. We compare simulations of a past (cold) and present (warm) climate with and without volcanism and solar changes. We find that overall, the climate system responds similarly to natural forcing in the cold and warm state. Small local differences mainly occur where ice can form. To evaluate the simulated variability, we use data from paleoclimate archives, including trees, ice‐cores, and marine sediments. Climate variability from forced simulations agrees better with the temperature variability obtained from data. Natural forcing is therefore critical for reliable simulation of variability in past and future climates.
    Description: Key Points: We present Glacial/Interglacial climate simulations and quantify effects of time‐varying volcanic and solar forcing on climate variability. The mean global and local response to these forcings is similar in Glacial and Interglacial climate, suggesting low state dependency. In both climate states, modeled temperature variance agrees better with palaeoclimate data when volcanic and solar forcing is included.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Heinrich Böll Stiftung (Heinrich Böll Foundation) http://dx.doi.org/10.13039/100009379
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: https://doi.org/10.5281/zenodo.6074747
    Description: https://github.com/paleovar/StateDependency
    Description: https://doi.org/10.5281/zenodo.6474769
    Keywords: ddc:551.6
    Language: English
    Type: doc-type:article
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