Seasonal extreme rainfall variability over India and its association with surface air temperature

被引:10
|
作者
Sardana, Divya [1 ]
Kumar, Prashant [1 ]
Weller, Evan [2 ]
Rajni [3 ]
机构
[1] Natl Inst Technol Delhi, Dept Appl Sci, Delhi 110040, India
[2] Univ Auckland, Sch Environm, Auckland, New Zealand
[3] OP Jindal Global Univ, Jindal Global Business Sch, Sonipat, Haryana, India
关键词
SUMMER MONSOON RAINFALL; OCEAN DIPOLE; EL-NINO; INTERANNUAL VARIABILITY; CLIMATE VARIABILITY; WINTER MONSOON; TREND ANALYSIS; DATA SET; PRECIPITATION; EVENTS;
D O I
10.1007/s00704-022-04045-0
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In recent decades, a significant rise in extreme rainfall events has been reported across India, accompanied by large-scale flood/drought-like conditions and catastrophic loss of life. Large-scale climate variability modes like the El Ni (n) over tildeo-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) tend to influence the surface air temperature and rainfall variability over India. In what follows, the complete and independent influences of ENSO using Ni (n) over tilde o3.4, Ni (n) over tilde o3, and Ni (n) over tilde o4 indices, and IOD using Dipole Mode Index (DMI) on seasonal mean and extreme surface air temperature and rainfall over India are examined. A non-stationary generalized extreme value (GEV) distribution is implemented to analyze the seasonal extremes over the period 1979-2019. Ni (n) over tilde o3.4 induces deficit rainfall over regions such as the Gangetic plains, the entire Deccan plateau, and western India in boreal summer In autumn, strong positive seasonal mean rainfall responses are evident in peninsular India and eastern parts of Madhya Pradesh (MP). A dipole pattern evident in north India during summer reverses its polarity by autumn. Yet, Ni (n) over tilde o3 significantly reduces the intensity of rainfall over large parts of MP in summer. Contrarily, Ni (n) over tilde o4 strengthens the rainfall in similar regions, thereby significantly impacting the rainfall variability over India. Likewise, positive (negative) phases of the IOD lead to wet (dry) conditions over northwestern India in summers and central India in autumn. Overall, a coherent inverse relationship between rainfall and daily maximum temperature is observed. For Nino3.4 independent of IOD (Ni (n) over tilde o3.41 vertical bar(IO)(D)), a weaker intensity in rainfall is found in northern India compared to the original Nino3.4 response. However, the IOD independent of Ni (n) over tilde o3.4 (IOD vertical bar(Ni)((n) over tilde o3.4)) rainfall response is weaker in northern India and stronger in central India compared to original IOD responses. Importantly, a composite analysis of rainfall and temperature anomalies during different phase combinations of ENSO and IOD also shows that the IOD mitigates the influence of ENSO in boreal summer and fall whenever such events occur in-phase.
引用
收藏
页码:185 / 205
页数:21
相关论文
共 50 条
  • [11] Summer monsoon rainfall variability over North East regions of India and its association with Eurasian snow, Atlantic Sea Surface temperature and Arctic Oscillation
    Prabhu, Amita
    Oh, Jaiho
    Kim, In-won
    Kripalani, R. H.
    Mitra, A. K.
    Pandithurai, G.
    CLIMATE DYNAMICS, 2017, 49 (7-8) : 2545 - 2556
  • [12] Summer monsoon rainfall variability over North East regions of India and its association with Eurasian snow, Atlantic Sea Surface temperature and Arctic Oscillation
    Amita Prabhu
    Jaiho Oh
    In-won Kim
    R. H. Kripalani
    A. K. Mitra
    G. Pandithurai
    Climate Dynamics, 2017, 49 : 2545 - 2556
  • [13] Evaluation of a GCM in seasonal forecasting of extreme rainfall events over continental India
    Gouda, K. C.
    Nahak, S.
    Goswami, P.
    WEATHER AND CLIMATE EXTREMES, 2018, 21 : 10 - 16
  • [14] Spatiotemporal characteristics of extreme droughts and their association with sea surface temperature over the Cauvery River basin, India
    Jena, Pravat
    Kasiviswanathan, K. S.
    Azad, Sarita
    NATURAL HAZARDS, 2020, 104 (03) : 2239 - 2259
  • [15] Spatiotemporal Variability of Seasonality of Rainfall Over India
    Sahany, Sandeep
    Mishra, Saroj K.
    Pathak, Raju
    Rajagopalan, Balaji
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (14) : 7140 - 7147
  • [16] Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis
    Kushwaha, Prabha
    Pandey, Vivek Kumar
    Kumar, Prashant
    Sardana, Divya
    Yadav, Anshu
    JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (06) : 2562 - 2581
  • [17] Extreme rainfall trends over Chhattisgarh state of India
    Sinha, Hemant Kumar
    Manikandan, N.
    Chaudhary, J. L.
    Nag, Sahdev
    JOURNAL OF AGROMETEOROLOGY, 2020, 22 (02): : 215 - 219
  • [18] Delayed impact of El Nino on the spring surface air temperature over India
    Velivelli, Sambasivarao
    Satyanarayana, G. Ch.
    Chowdary, Jasti S.
    Rao, K. Koteswara
    Parekh, Anant
    Gnanaseelan, C.
    CLIMATE DYNAMICS, 2024, 62 (03) : 1715 - 1728
  • [19] Variations in atmospheric Carbon Dioxide and its association with rainfall and vegetation over India
    Tiwari, Yogesh K.
    Revadekar, J. V.
    Kumar, K. Ravi
    ATMOSPHERIC ENVIRONMENT, 2013, 68 : 45 - 51
  • [20] Comparison of regional and seasonal changes and trends in daily surface temperature extremes over India and its subregions
    Dimri, A. P.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2019, 136 (1-2) : 265 - 286