Modeling the recent evolution of global drought and projections for the twenty-first century with the hadley centre climate model

被引:409
作者
Burke, Eleanor J. [1 ]
Brown, Simon J. [1 ]
Christidis, Nikolaos [1 ]
机构
[1] Hadley Ctr Climate Predict & Res, Met Off, Exeter EX1 3PB, Devon, England
关键词
D O I
10.1175/JHM544.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Meteorological drought in the Hadley Centre global climate model is assessed using the Palmer Drought Severity Index (PDSI), a commonly used drought index. At interannual time scales, for the majority of the land surface, the model captures the observed relationship between the El Nino-Southern Oscillation and regions of relative wetness and dryness represented by high and low values of the PDSI respectively. At decadal time scales, on a global basis, the model reproduces the observed drying trend (decreasing PDSI) since 1952. An optimal detection analysis shows that there is a significant influence of anthropogenic emissions of greenhouse gasses and sulphate aerosols in the production of this drying trend. On a regional basis, the specific regions of wetting and drying are not always accurately simulated. In this paper, present-day drought events are defined as continuous time periods where the PDSI is less than the 20th percentile of the PDSI distribution between 1952 and 1998 (i.e., on average 20% of the land surface is in drought at any one time). Overall, the model predicts slightly less frequent but longer events than are observed. Future projections of drought in the twenty-first century made using the Special Report on Emissions Scenarios (SRES) A2 emission scenario show regions of strong wetting and drying with a net overall global drying trend. For example, the proportion of the land surface in extreme drought is predicted to increase from 1% for the present day to 30% by the end of the twenty-first century.
引用
收藏
页码:1113 / 1125
页数:13
相关论文
共 56 条
  • [1] Estimating signal amplitudes in optimal fingerprinting, part I: theory
    Allen, MR
    Stott, PA
    [J]. CLIMATE DYNAMICS, 2003, 21 (5-6) : 477 - 491
  • [2] ALLEY WM, 1984, J CLIM APPL METEOROL, V23, P1100, DOI 10.1175/1520-0450(1984)023<1100:TPDSIL>2.0.CO
  • [3] 2
  • [4] [Anonymous], 1993, HDB HYDROL
  • [5] Barlow M, 2001, J CLIMATE, V14, P2105, DOI 10.1175/1520-0442(2001)014<2105:EPDVAU>2.0.CO
  • [6] 2
  • [7] Detecting and attributing external influences on the climate system: A review of recent advances
    Barnett, T
    Zwiers, F
    Hegerl, G
    Allen, M
    Crowley, T
    Gillett, N
    Hasselmann, K
    Jones, P
    Santer, B
    Schnur, R
    Scott, P
    Taylor, K
    Tett, S
    [J]. JOURNAL OF CLIMATE, 2005, 18 (09) : 1291 - 1314
  • [8] Cook ER, 1999, J CLIMATE, V12, P1145, DOI 10.1175/1520-0442(1999)012<1145:DRFTCU>2.0.CO
  • [9] 2
  • [10] A global dataset of Palmer Drought Severity Index for 1870-2002: Relationship with soil moisture and effects of surface warming
    Dai, A
    Trenberth, KE
    Qian, TT
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2004, 5 (06) : 1117 - 1130