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Sökning: WFRF:(Danby G)

  • Resultat 1-4 av 4
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1.
  • Adcox, K, et al. (författare)
  • PHENIX detector overview
  • 2003
  • Ingår i: Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment. - 0167-5087. ; 499:2-3, s. 469-479
  • Tidskriftsartikel (refereegranskat)abstract
    • The PHENIX detector is designed to perform a broad study of A-A, p-A, and p-p collisions to investigate nuclear matter under extreme conditions. A wide variety of probes, sensitive to all timescales, are used to study systematic variations with species and energy as well as to measure the spin structure of the nucleon. Designing for the needs of the heavy-ion and polarized-proton programs has produced a detector with unparalleled capabilities. PHENIX measures electron and muon pairs, photons, and hadrons with excellent energy and momentum resolution. The detector consists of a large number of subsystems that are discussed in other papers in this volume. The overall design parameters of the detector are presented. (C) 2002 Elsevier Science B.V. All rights reserved.
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2.
  • Williamson, S.N., et al. (författare)
  • Evidence for elevation-dependent warming in the St. Elias Mountains, Yukon, Canada
  • 2020
  • Ingår i: Journal of Climate. - : American Meteorological Society. - 0894-8755 .- 1520-0442. ; 33:8, s. 3253-3269
  • Tidskriftsartikel (refereegranskat)abstract
    • The climate of high midlatitude mountains appears to be warming faster than the global average, butevidence for such elevation-dependent warming (EDW) at higher latitudes is presently scarce. Here, we use acomprehensive network of remote meteorological stations, proximal radiosonde measurements, downscaledtemperature reanalysis, ice cores, and climate indices to investigate the manifestation and possible drivers ofEDW in the St. Elias Mountains in subarctic Yukon, Canada. Linear trend analysis of comprehensivelyvalidated annual downscaled North American Regional Reanalysis (NARR) gridded surface air temperaturesfor the years 1979–2016 indicates a warming rate of 0.0288Ca21 between 5500 and 6000mabovemeansea level (MSL), which is ;1.6 times larger than the global-average warming rate between 1970 and 2015.The warming rate between 5500 and 6000m MSL was ;1.5 times greater than the rate at the 2000–2500mMSL bin (0.0198Ca21), which is similar to the majority of warming rates estimated worldwide over similarelevation gradients. Accelerated warming since 1979, measured by radiosondes, indicates a maximum rateat 400 hPa (;7010mMSL). EDWin the St. Elias region therefore appears to be driven by recent warmingof the free troposphere. MODIS satellite data show no evidence for an enhanced snow albedo feedbackabove 2500m MSL, and declining trends in sulfate aerosols deposited in high-elevation ice cores suggest amodest increase in radiative forcing at these elevations. In contrast, increasing trends in water vapor mixingratio at the 500-hPa level measured by radiosonde suggest that a longwave radiation vapor feedback iscontributing to EDW.
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3.
  • Callaghan, Terry, et al. (författare)
  • Multi-Decadal Changes in Tundra Environments and Ecosystems : Synthesis of the International Polar Year-Back to the Future Project (IPY-BTF)
  • 2011
  • Ingår i: Ambio. - : Springer Science and Business Media LLC. - 0044-7447 .- 1654-7209. ; 40:6, s. 705-716
  • Tidskriftsartikel (refereegranskat)abstract
    • Understanding the responses of tundra systemsto global change has global implications. Most tundraregions lack sustained environmental monitoring and oneof the only ways to document multi-decadal change is toresample historic research sites. The International PolarYear (IPY) provided a unique opportunity for such researchthrough the Back to the Future (BTF) project (IPY project#512). This article synthesizes the results from 13 paperswithin this Ambio Special Issue. Abiotic changes includeglacial recession in the Altai Mountains, Russia; increasedsnow depth and hardness, permafrost warming, andincreased growing season length in sub-arctic Sweden;drying of ponds in Greenland; increased nutrient availabilityin Alaskan tundra ponds, and warming at mostlocations studied. Biotic changes ranged from relativelyminor plant community change at two sites in Greenland tomoderate change in the Yukon, and to dramatic increasesin shrub and tree density on Herschel Island, and in subarcticSweden. The population of geese tripled at one sitein northeast Greenland where biomass in non-grazed plotsdoubled. A model parameterized using results from a BTFstudy forecasts substantial declines in all snowbeds andincreases in shrub tundra on Niwot Ridge, Colorado overthe next century. In general, results support and provideimproved capacities for validating experimental manipulation,remote sensing, and modeling studies.
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4.
  • Berner, Logan T., et al. (författare)
  • The Arctic plant aboveground biomass synthesis dataset
  • 2024
  • Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 11:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m−2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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