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  • 17B37  (2)
  • Binary Object; DATE/TIME; File name; gross primary production; photosynthesis; vegetation; global  (1)
  • Geophysics  (1)
  • 1
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    Global gross primary production from vegetation photosynthesis model for 2017-2019 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains 8-day temporal resolution, 500m spatial resolution gross primary production (GPP) estimation from vegetation photosynthesis model (VPM) for the entire globe during 2017-2019. The entire globe is divided into 290 sub area (tiles) under a sinusoidal projection. For each tile each year, there are 46 GeoTiff files, each one represents the average daily GPP during a 8-day period. Each GPP file is also associated with a quality control layer, which contains a Boolean value to indicate whether the data quality is good (0) or not (1). The simulated GPP is also validated against 113 eddy covariance flux tower across the globe.
    Keywords: Binary Object; DATE/TIME; File name; gross primary production; photosynthesis; vegetation; global
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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    DATA PANGAEA
  • 2
    Electronic Resource
    Electronic Resource
    Casimir invariants for quantized affine Lie algebras (1994)
    Springer
    Letters in mathematical physics 31 (1994), S. 77-83 
    Details
    ISSN: 1573-0530
    Keywords: 81R10 ; 17B37 ; 16W30
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Physics
    Notes: Abstract Casimir invariants for quantized affine Lie algebras are constructed and their eigenvalues computed in any irreducible highest-weight representation.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00751173
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Quantum affine algebras and universalR-matrix with spectral parameter (1994)
    Springer
    Letters in mathematical physics 31 (1994), S. 101-110 
    Details
    ISSN: 1573-0530
    Keywords: 81R10 ; 17B37 ; 16W30
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Physics
    Notes: Abstract Using the previously obtained universalR-matrix for the quantized nontwisted affine Lie algebras U q (A 1 (1) ) and U q (A 2 (1) ), we determine the explicitly spectral dependent universalR-matrix for the corresponding quantum Lie algebras U q (A 1) and U q (A 2). As applications, we reproduce the well known results in the fundamental representations and we also derive an extremely explicit formula of the spectral-dependentR-matrix for the adjoint representation of U q (A 2), the simplest nontrivial case when the tensor product decomposition of the representation with itself has nontrivial multiplicity.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00750144
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    Paper (German National Licenses)
    Fulltext
  • 4
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    LandAtmosphere Feedbacks Exacerbate Concurrent Soil Drought and Atmospheric Aridity (2019)
    In:  Other Sources
    Details
    Publication Date: 2019-09-21
    Description: Compound extremes such as cooccurring soil drought (low soil moisture) and atmospheric aridity (high vapor pressure deficit) can be disastrous for natural and societal systems. Soil drought and atmospheric aridity are 2 main physiological stressors driving widespread vegetation mortality and reduced terrestrial carbon uptake. Here, we empirically demonstrate that strong negative coupling between soil moisture and vapor pressure deficit occurs globally, indicating high probability of cooccurring soil drought and atmospheric aridity. Using the Global Land Atmosphere Coupling Experiment (GLACE)-CMIP5 experiment, we further show that concurrent soil drought and atmospheric aridity are greatly exacerbated by land atmosphere feedbacks. The feedback of soil drought on the atmosphere is largely responsible for enabling atmospheric aridity extremes. In addition, the soil moistureprecipitation feedback acts to amplify precipitation and soil moisture deficits in most regions. CMIP5 models further show that the frequency of concurrent soil drought and atmospheric aridity enhanced by landatmosphere feedbacks is projected to increase in the 21st century. Importantly, land atmosphere feedbacks will greatly increase the intensity of both soil drought and atmospheric aridity beyond that expected from changes in mean climate alone.
    Keywords: Geophysics
    Type: GSFC-E-DAA-TN72966 , Proceedings of the National Academy of Sciences (ISSN 0027-8424) (e-ISSN 1091-6490); 116; 38; 18,848-18,853
    Format: text
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    NASA TECHNICAL REPORTS
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