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DOI | 10.1007/s10584-018-2255-6 |
Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India | |
Mall, R. K.1; Singh, Nidhi1; Singh, K. K.2; Sonkar, Geetika1; Gupta, Akhilesh3 | |
2018-08-01 | |
发表期刊 | CLIMATIC CHANGE |
ISSN | 0165-0009 |
EISSN | 1573-1480 |
出版年 | 2018 |
卷号 | 149页码:503-515 |
文章类型 | Article |
语种 | 英语 |
国家 | India |
英文摘要 | The paper aims to explore the biasness in the RegCM climate model outputs for diverse agro-climatic zones of Uttar Pradesh, India, with emphasis on wheat (Rabi growing season) and rice (Kharif growing season) yields with and without bias correction using quantile mapping approach for the baseline period of 1971-2000. The result shows that RCM highly underestimated the maximum and minimum temperature. There exists a bias towards lower precipitation in annual and Kharif and higher in Rabi along with strikingly low intense warm (maximum temperature > 45 A degrees C and 40 A degrees C) and high cold events (maximum temperature < 20 A degrees C and minimum temperature < 5 A degrees C) in the RCM simulation and biased towards low extreme rainfall > 50 mm/day. Bias correction through quantile mapping approach, however, showed excellent agreement for annual and seasonal maximum and minimum temperature and satisfactory for extreme temperatures but drastically failed to correct rainfall. The study also quantified the biasness in the simulated potential, irrigated, and rainfed wheat and rice yield using DSSAT (Decision Support System for Agro-technology Transfer) crop model by employing observed, RCM baseline, and RCM baseline bias-corrected weather data. The grain yields of RCM-simulated wheat and rice were high while the bias-corrected yield has shown good agreement with corresponding observed yield. Future research must account for the development of more reliable RCM models and explicitly bias correction method in specific to complement future analysis. |
英文关键词 | Climate change RegCM4 DSSAT Wheat Rice Bias correction Quantile mapping Uttar Pradesh |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000443398900016 |
WOS关键词 | GANGETIC PLAINS ; YIELD ; PRODUCTIVITY ; TEMPERATURE ; MONSOON ; RAINFALL ; PRECIPITATION ; VULNERABILITY ; SIMULATIONS ; VARANASI |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30052 |
专题 | 气候变化 |
作者单位 | 1.Banaras Hindu Univ, DST Mahamana Ctr Excellence Climate Change Res, Inst Environm & Sustainable Dev, Varanasi 221005, Uttar Pradesh, India; 2.Indian Meteorol Dept, Agromet Div, New Delhi, India; 3.Dept Sci & Technol, New Delhi, India |
推荐引用方式 GB/T 7714 | Mall, R. K.,Singh, Nidhi,Singh, K. K.,et al. Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India[J]. CLIMATIC CHANGE,2018,149:503-515. |
APA | Mall, R. K.,Singh, Nidhi,Singh, K. K.,Sonkar, Geetika,&Gupta, Akhilesh.(2018).Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India.CLIMATIC CHANGE,149,503-515. |
MLA | Mall, R. K.,et al."Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India".CLIMATIC CHANGE 149(2018):503-515. |
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