地球科学进展 ›› 2009, Vol. 24 ›› Issue (6): 621 -628. doi: 10.11867/j.issn.1001-8166.2009.06.0621

研究论文 上一篇    下一篇

重庆山地月平均气温分布式模拟研究
邱新法 1,仇月萍 2,曾燕 3   
  1. 1.南京信息工程大学遥感学院,江苏  南京  210044; 2.南京信息工程大学大气科学学院,江苏  南京  210044;3.江苏省气象科学研究所,江苏  南京  210008
  • 收稿日期:2008-12-29 修回日期:2009-04-28 出版日期:2009-06-10
  • 通讯作者: 邱新法 E-mail:qiuxinfa@sina.com
  • 基金资助:

    中国气象局气象新技术推广重点项目“基于DEM的我国太阳能资源评估”(编号:CMATG2006Z10)资助.

Distributed Modeling of monthly mean air temperature of Rugged Terrain of Chongqing

Qiu Xinfa 1, Qiu Yueping 2, Zeng Yan 3   

  1. 1.School of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing  210044,China;
    2.School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;
    3.Jiangsu Institute of Meteorological Sciences, Nanjing 210008, China  
  • Received:2008-12-29 Revised:2009-04-28 Online:2009-06-10 Published:2009-06-10

利用月平均气温物理经验统计模型,结合重庆市及周边51个气象站1961—2000年常规气象观测资料和重庆市1∶25万DEM数据,充分考虑地形(海拔、坡度、坡向和地形遮蔽)、太阳辐射、长波有效辐射等因素对气温的影响,完成了复杂地形下重庆市山地100 m×100 m分辨率月平均气温空间分布的模拟。模拟结果能较好地反映气温的宏观分布趋势和局地分布特征,月气温模拟平均绝对误差最大为0.40℃,全年平均为0.21℃。采用交叉验证、个例年验证和野外考察资料验证对模拟结果和模型性能进行了多方面的考察,结果表明:交叉验证误差全年平均为0.26℃;个例年验证误差全年平均为0.30℃;8个野外考察点验证各月误差总体小于1.0℃。

With a physically based empirical temperature model with DEM data of 1∶250 000 scale and routine meteorological data from 51 stations in and around Chongqing municipality from 1961-2000, we generated the spatial distribution map with resolution of 100 m ×100 m of monthly mean air temperature of rugged terrain of Chongqing municipality. The model gives an overall consideration of terrain (altitude, slope, aspect, terrain-shielding), solar radiation and effective radiation effects on temperature. Analyses show that the simulation results can well reflect the macro and local temperature distribution characteristics and the maximum mean absolute bias error is 0.40℃ for monthly temperature simulation and the annual average error is 0.21℃. Tests carried by cross-validation, case year data and field investigation data indicate that the annual average error of cross-validation is 0.26℃, case year test is 0.30℃ and the overall monthly average error of field investigation is less than 1.0℃.

中图分类号: 

[1] Wang Linlin, Wang Zhiyong, Shi Tongguang, et al. Simulation of air temperature in Shandong province based on DEM[J].Journal of Shandong Jianzhu University,2007, 22(1): 79-84.[王林林,王智勇,史同广,等.基于DEM的山东省气温分布模拟研究[J]. 山东建筑大学学报, 2007, 22(1): 79-84.]
[2] Sun Weiguo. Summary on Climate Resources[M]. Beijing: Meteorology Press,2008.[孙卫国.气候资源学[M].北京:气象出版社, 2008.]
[3] Yuan Aimin, Wang Jianyuan. Research on methodology for rasterizing meteorological element[J]. Meteorological Monthly,2006,32(6):111-115.[袁爱民,王建源.气象要素栅格化技术方法研究[J]. 气象, 2006, 32(6): 111-115.]
[4] Yin Hongtao, Liu Xin′an, Liu Shoudong,et al. Analysis and grid of thermal resources in west Liaoning province[J].Resources Science,2006, 28(1): 169-173.[尹洪涛,刘新安,刘寿东,等.辽西地区热量资源分析与栅格化[J]. 资源科学, 2006, 28(1): 169-173.]
[5] Li Zhengquan, Yu Guirui, Liu Xin′an, et al. Grid technology for precipitation and humidity information in northeast China[J].Resources Science,2003, 25(1): 72-77.[李正泉,于贵瑞,刘新安,等.东北地区降水与湿度气候资料的栅格化技术[J].资源科学,2003, 25(1): 72-77.]
[6] Fu Baopu. Simulation of the distribution of climatic elements in mountainous areas[J].Acta Meteorologica Sinica,1988, 46(3): 319-325.[傅抱璞.山地气候要素空间分布的模拟\[J\].气象学报,1988, 46(3): 319-325.]
[7] Liao Shunbao, Li Zehui, You Songcai. Comparison on methods for rasterization of air temperature data[J]. Resources Science,2003, 25(6): 83-88.[廖顺宝, 李泽辉, 游松财.气温数据栅格化的方法及其比较[J]. 资源科学, 2003, 25(6): 83-88.]
[8] Pan Yaozhong,Gong Daoyi, Deng Lei, et al. Smart distance searching-based and DEM-informed interpolation of surface air temperature in China[J].Acta Geographica Sinica,2004, 59(3): 366-374.[潘耀忠, 龚道溢, 邓磊,等.基于DEM的中国陆地多年平均温度插值方法[J]. 地理学报, 2004, 59(3): 366-374.]
[9] Liu Yu, Chen Panqin, Zhang Wen, et al.A spatial interpolation method for surface air temperature and its error analysis[J].Chinese Journal of Atmospheric Sciences,2006, 30(1): 146-152.[刘宇, 陈泮勤, 张稳,等. 一种地面气温的空间插值方法及其误差分析[J]. 大气科学, 2006, 30(1):146-152.]
[10] Cai Fu,Yu Guirui, Zhu Qinglin, et al. Comparison of precision between spatial methods of climatic factors: A case study on mean air temperature[J].Resources Science,2005, 27(5): 173-179.[蔡福,于贵瑞,祝青林,等.气象要素空间化方法精度的比较研究——以平均气温为例[J]. 资源科学, 2005, 27(5): 173-179.]
[11] Fang Shumin,Qin Jiangwei, Li Yongfei, et al. Method of spatial interpolation of air temperature based on GIS in Gansu province[J].Journal of Lanzhou University(Natural Science),2005, 41(2): 6-9.[方书敏,秦将为,李永飞,等.基于GIS的甘肃省气温空间分布模式研究[J]. 兰州大学学报:自然科学版, 2005, 41(2): 6-9.]
[12] Wang Ling.The temperature calculation model for the mountainous areas in north China and its application[J].Journal of Natural Resources,1996, 11(2): 150-156.[王菱. 华北山区温度推算模式和应用[J]. 自然资源学报, 1996, 11(2): 150-156.]
[13] Li Xin,Cheng Guodong, Lu ling. Comparison of spatial interpolation methods[J].Advanceds in Earth Science,2000, 15(3): 261-262.[李新, 程国栋, 卢玲. 空间内插方法比较[J]. 地球科学进展, 2000,15(3): 261-262.]
[14] Yan Hong. Modeling spatial distribution of climate in China using thin plate smoothing spline interpolation[J].Scintia Geographica Sinica,2004, 24(2): 164-166.[阎洪.薄板光顺样条插值与中国气候空间模拟[J]. 地理科学, 2004, 24(2): 164-166.]
[15] Zhang Hongliang, Ni Shaoxiang, Deng Ziwang, et al. A method of spatial simulating of temperature based Digital Elevation Model (DEM) in mountain area[J].Journal of Mountain Science,2002, 23(3): 360-364.[张洪亮, 倪绍祥, 邓自旺,等.基于DEM的山区气温空间模拟方法[J]. 山地学报, 2002, 23(3): 360-364.]
[16] Yang Xin,Tang Guoan, Wang Chun, et al. Terrain-revised ground surface temperature model of mountain area based on DEM—A case study in Yaoxian county of Shaanxi province[J].Scintia Geographica Sinica,2007, 27(4): 525-530.[杨昕, 汤国安, 王春, 等.基于DEM的山区气温地形修正模型——以陕西省耀县为例[J]. 地理科学, 2007, 27(4): 525-530.]
[17] Running S W, Thornton P E. Generating daily surfaces of temperature and precipitation over complex topography[M]//Goodchild M F, Sryaert L T, Parks B O. GIS and Environmental Model: Progress and Research Issues. Collins: GIS World Inc, 1996.
[18] Bellasio R, Maffeis G, Scire J S,et al.Algorithms to account for topographic shading effects and surface temperature dependence on terrain elevation in diagnostic meteorological models[J]. Boundary-Layer Meteorology,2005,114:595-614.
[19] Mahrt L. Variation of surface air temperature in complex terrain[J].Journal of Applied Meteorology & Climatology,2006,45(11): 1 481-1 493.
[20] Chung U, Seo H, Hwang H, et al. Minimum temperature mapping over complex terrain by estimating cold air accumulation potential[J].Agricultural and Forest Meteorology,2006,137(1/2):15-24.
[21] Daly C, Taylor G H, Qbson W P. The PRISM approach to mapping precipitation and temperature[C]//American Meterological Society Proceeding 10th AMS Conf. On Applied Climatology Meteorological Society, NV. Boston, Mass:American Meteorological Society, 1997:2-23, 10-12.
[22] Daly C, Gibson W, Taylor G,et al.A knowledge-based approach to the statistical mapping of climate[J].Climate Research,2002, 22: 99-113.
[23] Thorton P, Running S, White M. Generating surfaces of daily meteorological variables over large regions of complex terrain[J].Journal of Hydrology,1997,190: 214-251.
[24] Bellasio R, Maffeis G, Scire J S,et al. Algorithms to account for topographic shading effects and surface temperature dependence on terrain elevation in diagnostic meteorological models[J].Bound-Layer Meteorology,2005,114:595-614.
[25] Penzhou basin mountain agro-climatic resources data sets[G].The office of agro-climatic for Sichuan meteorological administration,1998:11.[盆周山区农业气候资源资料集[G].四川省气象局农业气候区划办公室,1998:11.]
[26] Zeng Yan, Qiu Xinfa, He Yongjian, et al. Distributed modeling of monthly air temperatures over the rugged terrain of the Yellow river basin[J].Science in China (Series D), 2009, 52(5):694-707.
[27] Zeng Yan, Qiu Xinfa, Liu Shaomin. Distributed modeling of extraterrestrial solar radiation over rugged terrains[J].Chinese Journal of Geophysics,2005,48(5):1 028-1 033.[曾燕, 邱新法, 刘绍民. 起伏地形下天文辐射分布式估算模型[J]. 地球物理学报, 2005, 48(5): 1 028-1 033.]
[28] Zeng Yan, Qiu Xinfa, Liu Changming,et al. Distributed modeling of direct solar radiation of rugged terrain over the Yellow river basin[J].Acta Geographica Sinica,2005, 60(4):680-688.[曾燕,邱新法,刘昌明,等.起伏地形下黄河流域太阳直接辐射分布式模拟[J].地理学报,2005,60(4):680-688.]
[29] Zeng Yan, Qiu Xinfa, Liu Changming, et al. Distributed modeling of diffuse solar radiation over rugged terrain of the Yellow river basin[J].Chinese Journal of Geophsics,2008, 51(4): 991-998.[曾燕, 邱新法, 刘昌明. 起伏地形下黄河流域太阳散射辐射分布式模拟研究[J]. 地球物理学报, 2008, 51(4): 991-998.]
[30] Zeng Yan, Qiu Xinfa, Pan Aoda,et al. Distributed modeling of global solar radiation over rugged terrain of the Yellow river basin[J].Advances in Earth Science,2008, 23(11):1 185-1 192.[曾燕, 邱新法, 潘敖大, 等. 地形对黄河流域太阳辐射影响的分析研究[J]. 地球科学进展, 2008, 23(11):1185-1192.]

[1] 樊云龙, 潘保田, 胡振波, 任大银, 陈起伟, 刘芬良, 李宗盟. 云贵高原北盘江流域构造地貌特征分析[J]. 地球科学进展, 2018, 33(7): 751-761.
[2] 李梦洁,郑建飞,曾燕,邱新法,杨羡敏. 浙江省高分辨率太阳直接辐射图的计算和绘制[J]. 地球科学进展, 2008, 23(3): 299-305.
[3] 曾燕,邱新法,潘敖大,刘昌明. 地形对黄河流域太阳辐射影响的分析研究[J]. 地球科学进展, 2008, 23(11): 1185-1193.
[4] 谢国辉,李晓东,周立平,王润元,武鹏飞. 气候因子影响天山北坡植被指数时空分布研究[J]. 地球科学进展, 2007, 22(6): 618-624.
[5] 郝振纯;池宸星;王玲;王跃奎. DEM空间分辨率的初步分析[J]. 地球科学进展, 2005, 20(5): 499-504.
[6] 李丽,郝振纯. 基于DEM的流域特征提取综述[J]. 地球科学进展, 2003, 18(2): 251-256.
[7] 李硕,曾志远,张运生. 数字地形分析技术在分布式水文建模中的应用[J]. 地球科学进展, 2002, 17(5): 769-775.
阅读次数
全文


摘要