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  • Wiley  (3)
  • Dong, Chunyu  (3)
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  • Wiley  (3)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 2016
    In:  International Journal of Climatology Vol. 36, No. 8 ( 2016-06-30), p. 2886-2898
    In: International Journal of Climatology, Wiley, Vol. 36, No. 8 ( 2016-06-30), p. 2886-2898
    Abstract: An investigation of temporal dynamics and spatial patterns of dryness/wetness conditions over the eastern part of Northwest China (including Shaanxi, Ningxia, the eastern part of Gansu, and a part of southern Inner Mongolia) during the period 1960–2009 is presented. The analysis of this study is threefold. First, the dryness/wetness conditions over the study area were characterized using the self‐calibrating Palmer Drought Severity Index ( PDSI ). The spatiotemporal variability of dryness/wetness conditions in the study area was then investigated by the rotated empirical orthogonal function ( REOF ) and Mann–Kendall trend test. Third, we examined the periodical oscillations of dryness/wetness conditions and the multi‐scale relationships between dryness/wetness conditions and El Niño‐Southern Oscillation ( ENSO ). The results indicate that most parts of the study area were characterized by a dry trend in both the rainy season (May–September) and winter. Four sub‐regions of dryness/wetness conditions across the study area were identified. Based on the wavelet analysis, the periodical features in the PDSI time series for each sub‐region were explored. Negative relationships between the PDSI in the sub‐region I (representing the central and southern parts of Shaanxi and the southeastern Gansu) and the Niño 3.4 index can be consistently detected on 2–6 year scales during the entire period 1960–2009. This suggests that the strong El Niño events generally lead to very dry conditions in the sub‐region I on multi‐year scales. In addition, we further investigated how the ENSO cycle modulates the strength of the East Asian summer monsoon ( EASM ) in both developing and decaying phases of El Niño and La Niña events. The results of this study could be beneficial for efficient water resources management and drought assessment in the current study area and also provide a valuable reference for other areas with similar climatic characteristics.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2017
    In:  Hydrological Processes Vol. 31, No. 16 ( 2017-07-30), p. 2872-2886
    In: Hydrological Processes, Wiley, Vol. 31, No. 16 ( 2017-07-30), p. 2872-2886
    Abstract: A camera network with hourly resolution was used to monitor the complex snow processes in montane forest environments. We developed a semi‐automatic procedure to interpret snow depths from the digital images, which exhibited high consistency with manual measurements and station‐based recordings. To extract snow interception dynamics, six binary classification methods were compared. The MaxEntropy classifier demonstrated better performance than the other methods under conditions of varying illumination and was therefore selected as the method used for quantifying snow in tree canopies. Snow accumulation and ablation on the ground, as well as snow loading and unloading in the forest canopies, were investigated using snow parameters derived from the time‐lapse photography monitoring. The influences of meteorologic conditions, forest cover, and elevation on the snow processes were also considered. Time‐lapse photography proved to be an effective and low‐cost approach for collecting useful information on snow processes and facilitating the set‐up of hydrological models.
    Type of Medium: Online Resource
    ISSN: 0885-6087 , 1099-1085
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1479953-4
    SSG: 14
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Hydrological Processes Vol. 34, No. 2 ( 2020-01), p. 321-338
    In: Hydrological Processes, Wiley, Vol. 34, No. 2 ( 2020-01), p. 321-338
    Abstract: In this study, we simulated the snow water equivalent (SWE), rain‐on‐snow (ROS) events, evapotranspiration, and run‐off for the period 1961–2016 in a central European region covered by low mountain ranges ( 〈 820 m a.s.l.) using a distributed hydrological model TRAnspiration and INterception evaporation model (TRAIN). We utilized improved cloud‐free Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products to evaluate the modelled snow‐covered area, indicating a good performance of the snow modelling. We analysed the intra‐ and inter‐annual variations of the simulated hydrological variables and the synchronous climate variables (air temperature and precipitation). Trend detection indicates a significant SWE decline throughout the snow season, but principally at the high elevations; the most severe warming occurred in early spring (March), whereas precipitation showed a slight increase in January and February. The snowpack in February has displayed the most striking reduction during the past 56 years, which is likely related to both the highest susceptibility of snow to warming and the increased ROS occurrence in February since the early 1990s. The increased combination of high temperatures and extreme rainfalls, as well as the earlier snowmelt, has resulted in a run‐off increase during the earlier winter but a decrease in March. The expected changing climate towards warmer and wetter winters will probably exacerbate winter flooding in the future.
    Type of Medium: Online Resource
    ISSN: 0885-6087 , 1099-1085
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1479953-4
    SSG: 14
    Location Call Number Limitation Availability
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