Shi Ying, Gao Xuejie, Wu Jia, et al. Simulating future climate changes over North China with a high resolution regional climate model. J Appl Meteor Sci, 2010, 21(5): 580-589.
Citation: Shi Ying, Gao Xuejie, Wu Jia, et al. Simulating future climate changes over North China with a high resolution regional climate model. J Appl Meteor Sci, 2010, 21(5): 580-589.

Simulating Future Climate Changes over North China with a High Resolution Regional Climate Model

  • Received Date: 2009-12-04
  • Rev Recd Date: 2010-06-21
  • Publish Date: 2010-10-31
  • Multi decadal climate change simulations have been performed over China using 20 km horizontal resolution regional climate model (RegCM3) one way nested within a global model (FvGCM/CCM3, here in after called FvGCM) from NCAR/NASA. Two experiments are conducted, one for the period of 1961—1990, the other is for the future climate of 2071—2100 under the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A2 emission scenario. The analysis focuses on the warm half of the year, from April to September. First, simulations of present climate conditions over North China by FvGCM and RegCM3 are compared with observations to assess the model performance. Results show that both models can reproduce the observed spatial patterns of surface air temperature and precipitation. Compared with FvGCM, RegCM3 shows a better performance especially in providing more spatial details of the surface variables. The changes (differences between future and present) of mean temperature and precipitation are analyzed and compared between the two models simulations. Significant warming in the end of 21st century is predicted by both models however their results are different both in spatial distribution and amount. Compared with FvGCM, a greater warming is simulated by RegCM3 in some areas of the northern part while in the southeast and the east of the region RegCM3 indicates the warming is slighter. General increase in mean precipitation is found in FvGCM simulation, in a range of less than 10% to exceeding 30%. While for RegCM3, the simulated precipitation increases in the north of Henan as well as Shandong, but changes little or even decreases in the northern part of the region is simulated. Future changes in extreme heat events simulated by RegCM3 are statistically analyzed using the days with daily maximum temperature no less than 35 ℃(DT35) and the days with a heat index which includes the humidity factor also no less than 35 ℃(DHI35). Results show a substantial increase of DT35 over the whole region and increase of DHI35over the plain areas. Increase in the maximum number of consecutive dry days (CDD) is also simulated by the model over the region, especially in the north of Hebei Province. According to the classification of UNEP drought index (AU), there will be significant less humid area and a corresponding increase of dry sub humid and semi arid, indicating the future increase of drought extent in the future over the region.
  • Fig. 1  Model domain (shadedarea) (a) and to pography over North China (b)

    Fig. 2  Mean temperature and precipitation from April to September over North China

    (a) observed temperature, (b) observed precipitation, (c) temperature simulated by FvGCM, (d) precipitation simulated by FvGCM, (e) temperature simulated by RegCM3, (f) precipitation simulated by RegCM3

    Fig. 3  Frequency of dailymaximum temperature from April to September over North China

    Fig. 4  Simulated mean temperature and precipitation changs from April to September over North China

    (a) temperature change by FvGCM, (b) temperature change by RegCM3, (c) precipitation change by FvGCM, (d) precipitation change by RegCM3

    Fig. 5  The observation and RegCM3 simulation of future DT35 and DHI35 from April to September over North China

    (a) DT35 in observation, (b) DT35in A2, (c) DHI35 in observation, (d) DHI35 in A2

    Fig. 6  The observation and RegCM3 simulation of future CDD and AU from April to September over North China

    (a) CDD in observation, (b) CDD in A2, (c) AU in observation, (d) AUin A2

    Table  1  The spatial correlation coefficient and standard deviation between the simulated and observed mean temperature from April to September over North China

    Table  2  The spatial correlation coefficient and standard deviation between the simulated and observed mean precipitation from April to September over North China

    Table  3  Climate types defined by AU in RF and A2 and its change over North China simulated by RegCM3

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    • Received : 2009-12-04
    • Accepted : 2010-06-21
    • Published : 2010-10-31

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