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  • Wiley  (3)
  • Leng, Guoyong  (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. 4 ( 2016-03-30), p. 1632-1642
    In: International Journal of Climatology, Wiley, Vol. 36, No. 4 ( 2016-03-30), p. 1632-1642
    Type of Medium: Online Resource
    ISSN: 0899-8418
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 1491204-1
    SSG: 14
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  International Journal of Climatology Vol. 42, No. 14 ( 2022-11-30), p. 7397-7407
    In: International Journal of Climatology, Wiley, Vol. 42, No. 14 ( 2022-11-30), p. 7397-7407
    Abstract: High temperature generally causes large‐scale crop yield reduction, and such negative effects are known to depend on the concurrent precipitation. However, the compounding precipitation effect in regulating crop yield response to global warming remains under‐examined. This research aims to evaluate the role of concurrent changes in precipitation in modulating global maize yield response to temperature under 1.5 and 2.0 K temperature rise for RCP 4.5 and 8.5 scenarios, respectively. Empirical linear function is adopted to calculate the function parameters and impact of precipitation modulation based on global census data on maize yield and climate in the baseline period of 1980–2010. The sensitivity of maize yield to temperature is then estimated under condition that with and without removal of precipitation impact. The maize yield sensitivity to temperature is negative in most rain‐fed growing areas in the baseline period of 1980–2010, and the global sensitivity is −9.39%/K if the precipitation impact is considered or −6.92%/K if the precipitation impact is removed. Globally, approximately 30% of the observed strength of relationship between maize yield and temperature is induced by the compounding precipitation effect. Under 1.5 and 2.0 K warming scenarios, global maize yield is projected to decrease by −10.16% to −11.91% and −15.01% to −17.14%, respectively. The world maize yield differences between 1.5 and 2.0 K scenarios will be −4.85% and −5.23% without the compounding precipitation effect and range from −3.52% to −3.89% with the compounding precipitation effect, to which the contribution of compounding precipitation increases to 35%. The modulating impacts of precipitation are the strongest in high latitude countries, while weak effects are found in Argentina, China, India, and South Africa. The research can help us understand the important but uncertain issue that how much the maize yield response to global warming is contributed by the compounding precipitation effect.
    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: Hydrological Processes, Wiley, Vol. 33, No. 8 ( 2019-04-15), p. 1218-1230
    Abstract: The interaction between surface water and groundwater is an important aspect of hydrological processes. Despite its importance, groundwater is not well represented in many land surface models. In this study, a groundwater module with consideration of surface water and groundwater dynamic interactions is incorporated into the distributed biosphere hydrological (DBH) model in the upstream of the Yellow River basin, China. Two numerical experiments are conducted using the DBH model: one with groundwater module active, namely, DBH_GW and the other without, namely, DBH_NGW. Simulations by two experiments are compared with observed river discharge and terrestrial water storage (TWS) variation from the Gravity Recovery and Climate Experiment (GRACE). The results show that river discharge during the low flow season that is underestimated in the DBH_NGW has been improved by incorporating the groundwater scheme. As for the TWS, simulation in DBH_GW shows better agreement with GRACE data in terms of interannual and intraseasonal variations and annual changing trend. Furthermore, compared with DBH_GW, TWS simulated in DBH_NGW shows smaller decreases during autumn and smaller increases in spring. These results suggest that consideration of groundwater dynamics enables a more reasonable representation of TWS change by increasing TWS amplitudes and signals and as a consequence, improves river discharge simulation in the low flow seasons when groundwater is a major component in runoff. Additionally, incorporation of groundwater module also leads to wetter soil moisture and higher evapotranspiration, especially in the wet seasons.
    Type of Medium: Online Resource
    ISSN: 0885-6087 , 1099-1085
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1479953-4
    SSG: 14
    Location Call Number Limitation Availability
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