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  • Wiley  (3)
  • Geography  (3)
  • 1
    In: International Journal of Climatology, Wiley, Vol. 39, No. 15 ( 2019-12), p. 5539-5555
    Abstract: Differences, arising from differences in gross primary production (GPP) model structures and driving forces, have fuelled arguments concerning interannual changes of GPP in China since 2000. To better investigate the interannual variability of GPP and its covariance with climate factors in China, this study adopted a multi‐model analysis based on three GPP models (i.e., Terrestrial Ecosystem Carbon flux model [TEC], Breathing Earth System Simulator model [BESS] , and MOD17 GPP model). The results show that annual GPP in China increased by 0.021–0.057 Pg C year −1 from 2000 to 2015 attributable to atmospheric‐CO 2 fertilization effects and favourable climate change, that is, increasing precipitation ( P r ) and temperature ( T a ). However, northern China and southern China had a large difference in the amplitude of these GPP changes; annual GPP increased by 0.017–0.039 Pg C year −1 in northern China but only 0.001–0.018 Pg C year −1 in southern China. Northern China and southern China occupy contrasting climate zones and this contrast produced different interannual variability of GPP through different mechanisms. Northern China has a dry climate with GPP changes sensitive to P r . As a result, more P r along with higher T a in northern China produced the strong uptrend of GPP from 2000 to 2015. In contrast, southern China has a wet climate with its GPP sensitive to solar radiation and T a . For the interval of 2000–2015, decreasing radiation plus drought exerted a negative influence on GPP in southern China. This study highlights the diverse mechanisms in which climate change affects GPP in dry and wet climate zones. A robust multi‐model analysis is preferred to reduce uncertainties arising from a single GPP model and its driving data.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1491204-1
    SSG: 14
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  International Journal of Climatology Vol. 42, No. 16 ( 2022-12-30), p. 10422-10434
    In: International Journal of Climatology, Wiley, Vol. 42, No. 16 ( 2022-12-30), p. 10422-10434
    Abstract: Based on the long‐range correlation (LRC) of daily air temperature records in China, the simulation performance of 11 Coupled Model Intercomparison Project Phase 6 (CMIP6) models is first evaluated in this study. And then, those CMIP6 models which can reproduce LRC of the well in observed records are selected for multi‐model ensemble mean. The results indicate that multi‐model ensemble mean can significantly reduce model uncertainty in reproducing LRC characteristics of daily air temperature records. Comparing the differences of the scaling exponents of the ensemble mean temperature data between the historical well‐mixed greenhouse gas, historical natural‐only, historical anthropogenic aerosols, and historical experiments, the LRC characteristics of different temperature variables show some difference. It means that the different forcings are critical for the model to reproduce the LRC characteristics of different temperature variables well. Generally, the influence of anthropogenic forcing enhances LRC of daily maximum air temperature in parts of northern China. Therefore, anthropogenic forcing is very important for CMIP6 models to accurately reproduce the strength of LRC for observed daily air maximum temperature in northern China.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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  • 3
    In: International Journal of Climatology, Wiley
    Abstract: The summer precipitation in Northeast China (NEC) can usually be divided into two stages, namely the Northeast China cold vortex (NECV) influencing stage in early summer (May–June) and the monsoon influencing stage in midsummer (July–August). In this study, the influence of NECV on the precipitation at multi‐timescales during different summer periods is studied. The results show that even in midsummer, though the effect of the western Pacific subtropical high is strengthened, the NECV still has the major impact on the precipitation over NEC. High co‐variability could be found between the daily precipitation and the NECV index in each month. The running correlation with an 11‐day window between precipitation and the NECV index also proves that the NECV has large impact on the precipitation over NEC during the whole summer. Key linkage of NECVs and the precipitation in midsummer can still be detected in synoptic extreme rainfall events. The composite analysis shows that, for the heavy rainfall extremes in NEC, the dominant circulation is an obvious ‘negative–positive–negative’ vorticity pattern at high latitudes of Asia. The positive vorticity in the pattern corresponds to stronger and more active NECV. That means the NECV is still the most critical factor affecting the NEC precipitation in midsummer.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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