Arid Zone Research ›› 2016, Vol. 33 ›› Issue (3): 584-592.doi: 10.13866/j.azr.2016.03.19

• Climatic Change • Previous Articles     Next Articles

Process and Achievement of Drought Monitoring Based on Land Surface Model

ZHANG Liang1,2, ZHANG Hu-qiang3, ZHANG Qiang1,2, LI Yao-hui1, ZHAO Jian-hua2, ZHAO Yu-fei4   

  1. 1. College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,Gansu,China;
    2. Lanzhou Institute of Arid Meteorology,China Meteorological Administration/Gansu Province Key Laboratory of Arid Climate Change and Disaster Reduction/ Key Laboratory of Arid Climate Change and Disaster Reduction,China Meteorological Administration,Lanzhou 730020,Gansu,China;
    3. Bureau of Meteorology (BOM),Melbourne 3001,Australia;
    4. National Meteorological Information Center,Beijing 100081,China
  • Received:2015-09-17 Revised:2015-12-02 Online:2016-05-15 Published:2016-05-31

Abstract: It is a developing method to monitor drought in near-real time based on land surface model in China.The procedure of forcing data,running of Australian Community Atmosphere and Biosphere Land Exchange Model (CABLE) and processing of model results,and producing of drought monitoring products were stated in this study.Firstly,the multiple types of data for producing forcing data and the corresponding methods of interpolation and correction were depicted in detail.Then,the methods of drought monitoring and drought classification were introduced,and the automatic process of drought monitoring with Shell scripts and NetCDF Operator (NCO) was summarized.The comparison between the model results and the self-calibrating Palmer Drought Severity Index (sc_PDSI) in the 1997/1998 drought event revealed that the model results performed better than sc_PDSI in the drought starting time and ending time as well as the region of drought monitoring.The simulated and measured values of soil moisture content were quite similar,which illustrated that the model results can be used to reflect the relative drought level in history,and they can be used to compensate the scarcity of long-term observed data of soil moisture content.Furthermore,the study showed that it is necessity to make a correction of sc_PDSI when it is used in monitoring drought in south China.

Key words: land surface model, CABLE model, drought monitoring, process, achievement