China meteorological forcing dataset (1979-2015)- A Big Earth Data Platform for Three Poles

The Chinese regional surface meteorological element data set is a set of near-surface meteorological and environmental element reanalysis data set developed by the Qinghai-Tibet Plateau Research Institute of the Chinese Academy of Sciences. The data set is based on the existing Princeton reanalysis data, GLDAS data, GEWEX-SRB radiation data and TRMM precipitation data in the world, and is made by combining the conventional meteorological observation data of China Meteorological Administration. The temporal resolution is 3 hours and the horizontal spatial resolution is 0.1, including 7 factors (variables) including near-surface air temperature, near-surface air pressure, near-surface air specific humidity, near-surface full wind speed, ground downward short wave radiation, ground downward long wave radiation and ground precipitation rate.

The physical meaning of each variable:

| Meteorological Element || Variable Name || Unit || Physical Meaning

| near-surface temperature ||temp|| K || instantaneous near-surface (2m) temperature

| surface pressure || pres|| Pa || instantaneous surface pressure

| specific humidity of near-surface air || shum || kg/ kg || instantaneous specific humidity of near-surface air

| near ground full wind speed || wind || m /s || instantaneous near ground (anemometer height) full wind speed

| downward short wave radiation || srad || W/m2 || 3-hour average (-1.5 HR ~+1.5 HR) downward short wave radiation

| Downward Long Wave Radiation ||lrad ||W/m2 ||3-hour Average (-1.5 hr ~+1.5 hr) Downward Long Wave Radiation

| precipitation rate ||prec||mm/hr ||3-hour average (-3.0 HR ~ 0.0 HR) precipitation rate

For more information, please refer to the "User's Guide for China Meteorological Al Forcing Dataset" published with the data.

The main changes in the latest version (01.06.0014) are:

1. Extend the data to December 2015 (except for short-wave and long-wave data, only until October 2015; the data from November to December 2015 are interpolated based on GLDAS data, and the error may be too large);

2. Set the minimum wind speed at 0.05 m/s;

3. Fixed a bug in the previous radiation algorithm to make our short wave and long wave data more reasonable in the morning and evening periods.

4. bug of precipitation data has been corrected, and the period involved in the change is 2011-2015.

File naming and required software

Data is stored in grid NC format, data files are stored in variable elements, and can be opened and read by programs or remote sensing software such as ArcGIS and QGIS

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, K., He, J. (2016). China meteorological forcing dataset (1979-2015). A Big Earth Data Platform for Three Poles, DOI: 10.3972/westdc.002.2014.db. CSTR: 18406.11.westdc.002.2014.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Chen, Y.Y., Yang, K., He, J., Qin, J., Shi, J.C., Du, J.Y., &He, Q. (2011). Improving land surface temperature modeling for dry land of China. Journal of Geophysical Research, 116(15), D20104.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Hu, Zhidan, Wang, Lei, Wang, Zhongjing, Hong, Yang, Zheng, Hang. Quantitative assessment of climate and human impacts on surface water resources in a typical semi-arid watershed in the middle reaches of the Yellow River from 1985 to 2006. International Journal of Climatology, 2015, 35(1):97-113. doi:10.1002/joc.3965 (View Details )

2.Yang, Wei, Yao, Tandong, Guo, Xiaofeng, Zhu, Meilin, Li, Shenghai, Kattel, Dambaru B.. Mass balance of a maritime glacier on the southeast Tibetan Plateau and its climatic sensitivity. Journal of Geophysical Research: Atmospheres, 2013, 118(17):9579-9594. doi:10.1002/jgrd.50760 (View Details )

3.Zeng, Yujin, Xie, Zhenghui, Yu, Yan, Liu, Shuang, Wang, Linying, Zou, Jing, Qin, Peihua, Jia, Binghao. Effects of anthropogenic water regulation and groundwater lateral flow on land processes. Journal of Advances in Modeling Earth Systems, 2016, :n/a-n/a. doi:10.1002/2016MS000646 (View Details )

4.Shen, Miaogen, Piao, Shilong, Cong, Nan, Zhang, Gengxin, Jassens, Ivan A. Precipitation impacts on vegetation spring phenology on the Tibetan Plateau. Global Change Biology, 2015, 21(10):3647-3656. doi:10.1111/gcb.12961 (View Details )

5.Turner, Falko, Zhu, Liping, Lü, Xinmiao, Peng, Ping, Ma, Qingfeng, Wang, Junbo, Hou, Juzhi, Lin, Qiuqi, Yang, Ruimin, Frenzel, Peter. Pediastrum sensu lato (Chlorophyceae) assemblages from surface sediments of lakes and ponds on the Tibetan Plateau. Hydrobiologia, 2016, 771(1):101-118. doi:10.1007/s10750-015-2620-7 (View Details )

6.Xu, Z. X., Chu, Q.. Climatological features and trends of extreme precipitation during 1979-2012 in Beijing, China. Proceedings of the International Association of Hydrological Sciences, 2015, 369:97-102. doi:10.5194/piahs-369-97-2015 (View Details )

7.Li C, Zhang C, Luo G, et al. Modeling the carbon dynamics of the dryland ecosystems in Xinjiang, China from 1981 to 2007: The spatiotemporal patterns and climate controls[J]. Ecological Modelling. 2013. (View Details )

8.Han, Qifei, Luo, Geping, Li, Chaofan, Xu, WenQiang. Modeling the grazing effect on dry grassland carbon cycling with Biome-BGC model. Ecological Complexity, 2014, 17:149-157. doi:10.1016/j.ecocom.2013.12.002 (View Details )

9.Li, Shenghai, Yao, Tandong, Yang, Wei, Yu, Wusheng, Zhu, Meilin. Melt season hydrological characteristics of the Parlung No. 4 Glacier, in Gangrigabu Mountains, south-east Tibetan Plateau. Hydrological Processes, 2016, 30(8):1171-1191. doi:10.1002/hyp.10696 (View Details )

10.Li, Xiaosong, Wang, Hongyan, Wang, Jinying, Gao, Zhihai. Land degradation dynamic in the first decade of twenty-first century in the Beijing–Tianjin dust and sandstorm source region. Environmental Earth Sciences, 2015, 74(5):4317-4325. doi:10.1007/s12665-015-4507-3 (View Details )

11.Liu, Qiang, Fu, Yongshuo H., Zeng, Zhenzhong, Huang, Mengtian, Li, Xiran, Piao, Shilong. Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Global Change Biology, 2016, 22(2):644-655. doi:10.1111/gcb.13081 (View Details )

12.Chen, Hao, Nan, Zhuotong, Zhao, Lin, Ding, Yongjian, Chen, Ji, Pang, Qiangqiang. Noah Modelling of the Permafrost Distribution and Characteristics in the West Kunlun Area, Qinghai-Tibet Plateau, China. Permafrost and Periglacial Processes, 2015, 26(2):160-174. doi:10.1002/ppp.1841 (View Details )

13.Yao, Yunjun, Liang, Shunlin, Cheng, Jie, Lin, Yi, Jia, Kun, Liu, Meng. Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China. Forests, 2014, 5(10):2542-2560. doi:10.3390/f5102542 (View Details )

14.Zhou, Jing, Wang, Lei, Zhang, Yinsheng, Guo, Yanhong, Li, Xiuping, Liu, Wenbin. Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003–2012 from a basin-wide hydrological modeling. Water Resources Research, 2015, 51(10):8060-8086. doi:10.1002/2014WR015846 (View Details )

15.Gao, Shuoshuo, Xu, Peng, Zhou, Feng, Yang, Hui, Zheng, Chunmiao, Cao, Wei, Tao, Shu, Piao, Shilong, Zhao, Yue, Ji, Xiaoyan, Shang, Ziyin, Chen, Minpeng. Quantifying nitrogen leaching response to fertilizer additions in China's cropland. Environmental Pollution, 2016, 211:241-251. doi:10.1016/j.envpol.2016.01.010 (View Details )

16.Li, Xiumei, Liang, Jie, Hou, Juzhi, Zhang, Wenjing. Centennial-scale climate variability during the past 2000 years on the central Tibetan Plateau. The Holocene, 2015, :0959683615572852. doi:10.1177/0959683615572852 (View Details )

17.Xue B, Wang L, Yang K, et al. Modeling the land surface water and energy cycles of a mesoscale watershed in the central Tibetan Plateau during summer with a distributed hydrological model[J]. Journal of Geophysical Research: Atmospheres. 2013. (View Details )

18.Guo, Donglin, Wang, Huijun. Simulated change in the near-surface soil freeze/thaw cycle on the Tibetan Plateau from 1981 to 2010. Chinese Science Bulletin, 2014, 59(20):2439-2448. doi:10.1007/s11434-014-0347-x (View Details )

19.Sun, Shaobo, Chen, Baozhang, Ge, Mengyu, Qu, Junfeng, Che, Tao, Zhang, Huifang, Lin, Xiaofeng, Che, Mingliang, Zhou, Ziyuan, Guo, Lifeng, Wang, Bingyang. Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China. Ecological Modelling, 2016, 330:1-15. doi:10.1016/j.ecolmodel.2016.03.014 (View Details )

20.Huang, Ying, Salama, M. Suhyb, Su, Zhongbo, van der Velde, Rogier, Zheng, Donghai, Krol, Maarten S., Hoekstra, Arjen Y., Zhou, Yunxuan. Effects of Roughness Length Parameterizations on Regional-Scale Land Surface Modeling of Alpine Grasslands in the Yangtze River Basin. Journal of Hydrometeorology, 2016, 17(4):1069-1085. doi:10.1175/JHM-D-15-0049.1 (View Details )

21.Sun, Bin, Gao, Zhihai, Li, Zengyuan, Wang, Hongyan, Li, Xiaosong, Wang, Bengyu, Wu, Junjun. Dynamic and dry/wet variation of climate in the potential extent of desertification in China during 1981–2010. Environmental Earth Sciences, 2014, 73(7):3717-3729. doi:10.1007/s12665-014-3659-x (View Details )

22.Ma, Ning, Szilagyi, Jozsef, Niu, Guo-Yue, Zhang, Yinsheng, Zhang, Teng, Wang, Binbin, Wu, Yanhong. Evaporation variability of Nam Co Lake in the Tibetan Plateau and its role in recent rapid lake expansion. Journal of Hydrology, 2016, 537:27-35. doi:10.1016/j.jhydrol.2016.03.030 (View Details )

23.Tian, Hui, Lan, Yongchao, Wen, Jun, Jin, Huijun, Wang, Chenghai, Wang, Xin, Kang, Yue. Evidence for a recent warming and wetting in the source area of the Yellow River (SAYR) and its hydrological impacts. Journal of Geographical Sciences, 2015, 25(6):643-668. doi:10.1007/s11442-015-1194-7 (View Details )

24.Chu, Q., Xu, Z., Peng, D., Yang, X., Yang, G.. Trends of surface humidity and temperature during 1951-2012 in Beijing, China. Proceedings of the International Association of Hydrological Sciences, 2015, 368:126-131. doi:10.5194/piahs-368-126-2015 (View Details )

25.Zhang, Xue-Jun, Tang, Qiuhong, Pan, Ming, Tang, Yin. A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China. Journal of Hydrometeorology, 2014, 15(5):2067-2084. doi:10.1175/JHM-D-13-0170.1 (View Details )

26.Liu, X., Zhang, X.-J., Tang, Q., Zhang, X.-Z.. Effects of surface wind speed decline on modeled hydrological conditions in China. Hydrol. Earth Syst. Sci., 2014, 18(8):2803-2813. doi:10.5194/hess-18-2803-2014 (View Details )

27.Yao, Yunjun, Zhao, Shaohua, Zhang, Yuhu, Jia, Kun, Liu, Meng. Spatial and Decadal Variations in Potential Evapotranspiration of China Based on Reanalysis Datasets during 1982–2010. Atmosphere, 2014, 5(4):737-754. doi:10.3390/atmos5040737 (View Details )

28.Gao, Siru, Wu, Qingbai, Zhang, Zhongqiong, Xu, Xiaoming. Impact of climatic factors on permafrost of the Qinghai–Xizang Plateau in the time-frequency domain. Quaternary International, 2015, 374:110-117. doi:10.1016/j.quaint.2015.02.036 (View Details )

29.Yang, Wei, Guo, Xiaofeng, Yao, Tandong, Zhu, Meilin, Wang, Yongjie. Recent accelerating mass loss of southeast Tibetan glaciers and the relationship with changes in macroscale atmospheric circulations. Climate Dynamics, 2015, :1-11. doi:10.1007/s00382-015-2872-y (View Details )

30.Dai, Yufeng, Yao, Tandong, Li, Xiangyu, Ping, Fan. The impact of lake effects on the temporal and spatial distribution of precipitation in the Nam Co basin, Tibetan Plateau. Quaternary International, 2016, . doi:10.1016/j.quaint.2016.01.075 (View Details )

31.Guo, Donglin, Wang, Huijun. Simulation of permafrost and seasonally frozen ground conditions on the Tibetan Plateau, 1981–2010. Journal of Geophysical Research: Atmospheres, 2013, 118(11):5216-5230. doi:10.1002/jgrd.50457 (View Details )

32.Shen, Miaogen, Piao, Shilong, Chen, Xiaoqiu, An, Shuai, Fu, Yongshuo H., Wang, Shiping, Cong, Nan, Janssens, Ivan A.. Strong impacts of daily minimum temperature on the green-up date and summer greenness of the Tibetan Plateau. Global Change Biology, 2016, :n/a-n/a. doi:10.1111/gcb.13301 (View Details )

33.Liu, Jianguo, Jia, Binghao, Xie, Zhenghui, Shi, Chunxiang. Ensemble simulation of land evapotranspiration in China based on a multi-forcing and multi-model approach. Advances in Atmospheric Sciences, 2016, 33(6):673-684. doi:10.1007/s00376-016-5213-0 (View Details )

34.Wang, Yun, Wesche, Karsten. Vegetation and soil responses to livestock grazing in Central Asian grasslands: a review of Chinese literature. Biodiversity and Conservation, 2016, :1-20. doi:10.1007/s10531-015-1034-1 (View Details )

35.Zhu, Meilin, Yao, Tandong, Yang, Wei, Maussion, Fabien, Huintjes, Eva, Li, Shenghai. Energy- and mass-balance comparison between Zhadang and Parlung No. 4 glaciers on the Tibetan Plateau. Journal of Glaciology, 2015, 61(227):595-607. doi:10.3189/2015JoG14J206 (View Details )

36.Li, Xiaosong, Wang, Hongyan, Zhou, Shufang, Sun, Bin, Gao, Zhihai. Did ecological engineering projects have a significant effect on large-scale vegetation restoration in Beijing-Tianjin Sand Source Region, China? A remote sensing approach. Chinese Geographical Science, 2016, 26(2):216-228. doi:10.1007/s11769-016-0801-6 (View Details )

37.Zhao, Hongfang, Fu, Yongshuo H., Wang, Xuhui, Zhao, Chuang, Zeng, Zhenzhong, Piao, Shilong. Timing of rice maturity in China is affected more by transplanting date than by climate change. Agricultural and Forest Meteorology, 2016, 216:215-220. doi:10.1016/j.agrformet.2015.11.001 (View Details )

38.Giri C, Zhu Z, Reed B. A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote sensing of environment, 2005, 94(1): 123-132. (View Details | Download )

39.Zhang, Tongzuo, Lin, Gonghua, Nevo, Eviatar, Yang, Chuanhua, Su, Jianping. Cytochrome b gene selection of subterranean rodent Gansu zokor Eospalax cansus (Rodentia, Spalacidae). Zoologischer Anzeiger - A Journal of Comparative Zoology, 2013, 252(1):118-122. doi:10.1016/j.jcz.2012.04.002 (View Details )

40.Ahlborn, Marieke, Haberzettl, Torsten, Wang, Junbo, Alivernini, Mauro, Schlütz, Frank, Schwarz, Anja, Su, Youliang, Frenzel, Peter, Daut, Gerhard, Zhu, Liping, Mäusbacher, Roland. Sediment dynamics and hydrologic events affecting small lacustrine systems on the southern-central Tibetan Plateau – the example of TT Lake. The Holocene, 2014, :0959683614561885. doi:10.1177/0959683614561885 (View Details )

41.Liu, J.-G., Xie, Z.-H.. Improving simulation of soil moisture in China using a multiple meteorological forcing ensemble approach. Hydrol. Earth Syst. Sci., 2013, 17(9):3355-3369. doi:10.5194/hess-17-3355-2013 (View Details )

42.Zheng, Donghai, Van der Velde, Rogier, Su, Zhongbo, Wen, Jun, Wang, Xin, Booij, Martijn J., Hoekstra, Arjen Y., Lv, Shihua, Zhang, Yu, Ek, Michael B.. Impacts of Noah model physics on catchment-scale runoff simulations. Journal of Geophysical Research: Atmospheres, 2016, 121(2):2015JD023695. doi:10.1002/2015JD023695 (View Details )

43.Pugnaire, Francisco I., Zhang, Lin, Li, Ruicheng, Luo, Tianxiang. No evidence of facilitation collapse in the Tibetan plateau. Journal of Vegetation Science, 2015, 26(2):233-242. doi:10.1111/jvs.12233 (View Details )

44.Pan, Xiaoduo, Li, Xin, Yang, Kun, He, Jie, Zhang, Yanlin, Han, Xujun. Comparison of Downscaled Precipitation Data over a Mountainous Watershed: A Case Study in the Heihe River Basin. Journal of Hydrometeorology, 2014, 15(4):1560-1574. doi:10.1175/JHM-D-13-0202.1 (View Details )

45.Chen, X., Su, Z., Ma, Y., Liu, S., Yu, Q., Xu, Z.. Development of a 10-year (2001–2010) 0.1° data set of land-surface energy balance for mainland China. Atmos. Chem. Phys., 2014, 14(23):13097-13117. doi:10.5194/acp-14-13097-2014 (View Details )

46.Wang, Binbin, Ma, Yaoming, Chen, Xuelong, Ma, Weiqiang, Su, Zhongbo, Menenti, Massimo. Observation and simulation of lake-air heat and water transfer processes in a high-altitude shallow lake on the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 2015, 120(24):2015JD023863. doi:10.1002/2015JD023863 (View Details )

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