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  • 1
    Online-Ressource
    Online-Ressource
    Remote Sensing and GIS for Ecologists : Using Open Source Software. (2016)
    Exeter :Pelagic Publishing,
    Details
    Schlagwort(e): Remote sensing. ; Electronic books.
    Beschreibung / Inhaltsverzeichnis: This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions.
    Materialart: Online-Ressource
    Seiten: 1 online resource (353 pages)
    Ausgabe: 1st ed.
    ISBN: 9781784270247
    Serie: Data in the Wild
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=4464688
    DDC: 577.0284
    Sprache: Englisch
    Anmerkung: Intro -- Contents -- 1 Spatial Data and Software -- 2 Introduction to RemoteSensing and GIS -- 3 Where to Obtain Spatial Data? -- 4 Spatial Data Analysis forEcologists: First Steps -- 5 Pre-processing RemoteSensing Data -- 6 Field Data for RemoteSensing Data Analysis -- 7 From Spectral toEcological Information -- 8 Land Cover or ImageClassification Approaches -- 9 Land Cover Change orChange Detection -- 10 Continuous Land CoverInformation -- 11 Time Series Analysis -- 12 Spatial Land CoverPattern Analysis -- 13 Modelling SpeciesDistributions -- 14 Introduction to the AddedValue of Animal MovementAnalysis and Remote Sensing.
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    GEOMAR EBL
  • 2
    Online-Ressource
    Online-Ressource
    EO-MOVE - Multiskalige und -sensorale Umweltanalysen für die Untersuchung von räumlichen und zeitlichen Bewegungsmustern von Tieren, sowie Relevanz von Bewegungsdaten für die Fernerkundung : Abschlussbericht : Gesamtlaufzeit: 01.08.2016-31.05.2020 (2020)
    [Würzburg] : [Julius-Maximilians-Universität Würzburg, Lehrstuhl für Fernerkundung]
    Details Verfügbarkeit
    Schlagwort(e): Forschungsbericht ; Umweltüberwachung
    Materialart: Online-Ressource
    Seiten: 1 Online-Ressource (35 Seiten, 2,28 MB) , Illustrationen, Karten, Diagramme
    URL: https://doi.org/10.2314/KXP:1830906461
    DOI: 10.2314/KXP:1830906461
    Sprache: Deutsch , Englisch
    Anmerkung: Förderkennzeichen BMWi 50EE1545 + 50EE1546 , Verbundnummer 01170634 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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    GEOMAR KATALOG
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  • 3
    Digitale Medien
    Digitale Medien
    Planar liquid-crystalline compounds composed of rigid linear segments (1991)
    Basel : Wiley-Blackwell
    Die Makromolekulare Chemie, Rapid Communications 12 (1991), S. 151-157 
    Details
    ISSN: 0173-2803
    Schlagwort(e): Chemistry ; Polymer and Materials Science
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Chemie und Pharmazie , Physik
    Zusätzliches Material: 5 Ill.
    Materialart: Digitale Medien
    URL: http://dx.doi.org/10.1002/marc.1991.030120302
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    Artikel (Nationallizenzen)
    Volltext
  • 4
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    Eurasian autumn snow link to winter North Atlantic Oscillation is strongest for Arctic warming periods (2020)
    COPERNICUS GESELLSCHAFT MBH
    In:  EPIC3Earth System Dynamics, COPERNICUS GESELLSCHAFT MBH, 11(2), pp. 509-524, ISSN: 2190-4987
    Details
    Publikationsdatum: 2021-02-01
    Beschreibung: In recent years, many components of the connection between Eurasian autumn snow cover and wintertime North Atlantic Oscillation (NAO) have been investigated, suggesting that November snow cover distribution has strong prediction power for the upcoming Northern Hemisphere winter climate. However, the non-stationarity of this relationship could impact its use for prediction routines. Here we use snow products from long-term reanalyses to investigate interannual and interdecadal links between autumnal snow cover and atmospheric conditions in winter. We find evidence for a negative NAO-like signal after November with a strong west-to-east snow cover gradient, which is valid throughout the last 150 years. This correlation is consistently linked to a weak stratospheric polar vortex state. Nevertheless, decadal evolution of this link shows episodes of decreased correlation strength, which co-occur with episodes of low variability in the November snow index. By contrast, periods with high prediction skill for winter NAO are found in periods of high November snow variability, which co-occur with the Arctic warming periods of the 20th century, namely the early 20th-century Arctic warming between 1920 and 1940 and the ongoing anthropogenic global warming at the end of the 20th century. A strong snow dipole itself is consistently associated with reduced Barents–Kara sea ice concentration, increased Ural blocking frequency and negative temperature anomalies in eastern Eurasia.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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    ARTIKEL (OA)
  • 5
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    Large-scale climate signals of a European oxygen isotope network from tree rings (2021)
    COPERNICUS GESELLSCHAFT MBH
    In:  EPIC3Climate of the Past, COPERNICUS GESELLSCHAFT MBH, 17(3), pp. 1005-1023, ISSN: 1814-9324
    Details
    Publikationsdatum: 2021-07-01
    Beschreibung: We investigate the climate signature of δ18O tree-ring records from sites distributed all over Europe covering the last 400 years. An empirical orthogonal function (EOF) analysis reveals two distinct modes of variability on the basis of the existing δ18O tree-ring records. The first mode is associated with anomaly patterns projecting onto the El Niño–Southern Oscillation (ENSO) and reflects a multi-seasonal climatic signal. The ENSO link is pronounced for the last 130 years, but it is found to be weak over the period from 1600 to 1850, suggesting that the relationship between ENSO and the European climate may not be stable over time. The second mode of δ18O variability, which captures a north–south dipole in the European δ18O tree-ring records, is related to a regional summer atmospheric circulation pattern, revealing a pronounced centre over the North Sea. Locally, the δ18O anomalies associated with this mode show the same (opposite) sign with temperature (precipitation). Based on the oxygen isotopic signature derived from tree rings, we argue that the prevailing large-scale atmospheric circulation patterns and the related teleconnections can be analysed beyond instrumental records.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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    ARTIKEL (OA)
  • 6
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    Arctic moisture source for Eurasian snow cover variations in autumn (2015)
    IOP PUBLISHING LTD
    In:  EPIC3Environmental Research Letters, IOP PUBLISHING LTD, 10(5), ISSN: 1748-9326
    Details
    Publikationsdatum: 2017-06-06
    Beschreibung: Eurasian fall snow cover changes have been suggested as a driver for changes in the Arctic Oscillation and might provide a link between sea-ice decline in the Arctic during summer and atmospheric circulation in the following winter. However, the mechanism connecting snow cover in Eurasia to sea-ice decline in autumn is still under debate. Our analysis is based on snow observations from 820 Russian land stations, moisture transport using a Lagrangian approach derived from meteorological re-analyses. We show that declining sea-ice in the Barents and Kara Seas (BKS) acts as moisture source for the enhanced Western Siberian snow depth as a result of changed tropospheric moisture transport. Transient disturbances enter the continent from the BKS region related to anomalies in the planetary wave pattern and move southward along the Ural mountains where they merge into the extension of the Mediterranean storm track.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
    Format: application/pdf
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    ARTIKEL (OA)
  • 7
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    Impact of Eurasian autumn snow on the winter North Atlantic Oscillation in seasonal forecasts of the 20th century (2021)
    European Geosciences Union
    In:  EPIC3Weather and Climate Dynamics, European Geosciences Union, 2(4), pp. 1245-1261, ISSN: 2698-4016
    Details
    Publikationsdatum: 2022-02-15
    Beschreibung: As the leading climate mode of wintertime climate variability over Europe, the North Atlantic Oscillation (NAO) has been extensively studied over the last decades. Recently, studies highlighted the state of the Eurasian cryosphere as a possible predictor for the wintertime NAO. However, missing correlation between snow cover and wintertime NAO in climate model experiments and strong non-stationarity of this link in reanalysis data are questioning the causality of this relationship. Here we use the large ensemble of Atmospheric Seasonal Forecasts of the 20th Century (ASF-20C) with the European Centre for Medium-Range Weather Forecasts model, focusing on the winter season. Besides the main 110-year ensemble of 51 members, we investigate a second, perturbed ensemble of 21 members where initial (November) land conditions over the Northern Hemisphere are swapped from neighboring years. The Eurasian snow–NAO linkage is examined in terms of a longitudinal snow depth dipole across Eurasia. Subsampling the perturbed forecast ensemble and contrasting members with high and low initial snow dipole conditions, we found that their composite difference indicates more negative NAO states in the following winter (DJF) after positive west-to-east snow depth gradients at the beginning of November. Surface and atmospheric forecast anomalies through the troposphere and stratosphere associated with the anomalous positive snow dipole consist of colder early winter surface temperatures over eastern Eurasia, an enhanced Ural ridge and increased vertical energy fluxes into the stratosphere, with a subsequent negative NAO-like signature in the troposphere. We thus confirm the existence of a causal connection between autumn snow patterns and subsequent winter circulation in the ASF-20C forecasting system.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 8
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    Arctic glaciers record wavier circumpolar winds (2022)
    Nature Publishing Group
    In:  EPIC3Nature Climate Change, Nature Publishing Group, 12(3), pp. 249-255
    Details
    Publikationsdatum: 2022-06-20
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
    Format: application/pdf
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    ARTIKEL (OA)
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