Performance of the CORDEX-SA Regional Climate Models in Simulating Summer Monsoon Rainfall and Future Projections over East India

被引:4
|
作者
Barde, Vasundhara [1 ,4 ]
Nageswararao, M. M. [2 ,3 ]
Mohanty, U. C. [1 ,5 ]
Panda, R. K. [1 ,5 ]
机构
[1] Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Jatani 752050, Odisha, India
[2] NCEP EMC, NOAA Ctr Weather & Climate Predict, Univ Res Court, College Pk, MD 20740 USA
[3] Univ Corp Atmospher Res UCAR, CPAESS, Boulder, CO USA
[4] Indian Inst Geomagnetism, Mumbai 410218, India
[5] Shikha O Anusandhan Univ, Ctr Climate Smart Agr CCSA, Bhubaneswar, India
关键词
CORDEX-SA; Indian summer monsoon; East India; RCP; Future projections; Global warming; WINTER PRECIPITATION; GANGETIC PLAINS; VARIABILITY; RESOLUTION; EVENTS; DROUGHTS; TRENDS; CMIP5;
D O I
10.1007/s00024-022-03225-3
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The Indian summer monsoon rainfall (ISMR, June-September) is an important factor in agricultural planning and the Indian economy. The ISMR over East India (EI: Chhattisgarh-Bihar-Jharkhand-Odisha) is particularly significant, and it can have an impact on the country's average ISMR. The current study examined projected changes in ISMR over EI with two emission scenarios, RCP4.5 and RCP8.5, for near (2017-2040) and far-future (2041-2070) projections using a set of ten CORDEX-SA Regional Climate Model (RCMs). To begin, the performance of raw and bias-corrected ISMR over EI outputs from ten CORDEX-SA RCMs was compared to a high-resolution (0.25 degrees x 0.25 degrees) gridded rainfall analysis dataset from the India Meteorological Department (IMD) over the hindcast period (1971-2005). Following that, bias-corrected results were used to calculate ISMR projections over EI for the near and distant futures. Most RCMs, according to the findings, can imitate the spatial pattern of ISMR across EI but are restricted in their ability to capture actual magnitudes. Notably, RCM prediction skill increased greatly after employing various bias-correction approaches, the quantile mapping (QQM) bias-correction technique outperformed other current conventional bias correction methods, and the QQM technique was employed for ISMR future projections using RCP4.5 and RCP8.5 emission scenarios. The analysis of ISMR projections over EI reveals that there will be more deficit rainfall years in the short term while more excess rainfall years in the far future.
引用
收藏
页码:1121 / 1142
页数:22
相关论文
共 50 条
  • [41] Evaluation of CORDEX-CORE regional climate models in simulating rainfall variability in Rwanda
    Safari, Bonfils
    Sebaziga, Joseph Ndakize
    Siebert, Asher
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2023, 43 (02) : 1112 - 1140
  • [42] Projected energy and hydrological budgets over the Indus River Basin under a CORDEX-SA regional climate model framework
    Maharana, P.
    Dimri, A. P.
    ATMOSPHERIC RESEARCH, 2024, 308
  • [43] An evaluation of CORDEX regional climate models in simulating precipitation over Southern Africa
    Shongwe, Mxolisi E.
    Lennard, Chris
    Liebmann, Brant
    Kalognomou, Evangelia-Anna
    Ntsangwane, Lucky
    Pinto, Izidine
    ATMOSPHERIC SCIENCE LETTERS, 2015, 16 (03): : 199 - 207
  • [44] Evaluation of the performance of CORDEX regional climate models in simulating present climate conditions of Tanzania
    Luhunga, Philbert
    Botai, Joel
    Kahimba, Frederick
    JOURNAL OF SOUTHERN HEMISPHERE EARTH SYSTEMS SCIENCE, 2016, 66 (01): : 32 - 54
  • [45] Performance of the CORDEX regional climate models in simulating offshore wind and wind potential
    Sumeet Kulkarni
    M. C. Deo
    Subimal Ghosh
    Theoretical and Applied Climatology, 2019, 135 : 1449 - 1464
  • [46] Performance of the CORDEX regional climate models in simulating offshore wind and wind potential
    Kulkarni, Sumeet
    Deo, M. C.
    Ghosh, Subimal
    THEORETICAL AND APPLIED CLIMATOLOGY, 2019, 135 (3-4) : 1449 - 1464
  • [47] Future projections of Indian summer monsoon rainfall extremes over India with statistical downscaling and its consistency with observed characteristics
    Kulkarni Shashikanth
    Subimal Ghosh
    Vittal H
    Subhankar Karmakar
    Climate Dynamics, 2018, 51 : 1 - 15
  • [48] Future projections of Indian summer monsoon rainfall extremes over India with statistical downscaling and its consistency with observed characteristics
    Shashikanth, Kulkarni
    Ghosh, Subimal
    Vittal, H.
    Karmakar, Subhankar
    CLIMATE DYNAMICS, 2018, 51 (1-2) : 1 - 15
  • [49] Future snowfall in the Alps: projections based on the EURO-CORDEX regional climate models
    Frei, Prisco
    Kotlarski, Sven
    Liniger, Mark A.
    Schar, Christoph
    CRYOSPHERE, 2018, 12 (01): : 1 - 24
  • [50] Impact of climate change on North-East India (NEI) summer monsoon rainfall
    Zahan, Yasmin
    Mahanta, Rahul
    Rajesh, P. V.
    Goswami, B. N.
    CLIMATIC CHANGE, 2021, 164 (1-2)