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Bhan, S. C.
- The Catastrophe over Jammu and Kashmir in September 2014:A Meteorological Observational Analysis
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PDF Views:128
Authors
Affiliations
1 India Meteorological Department, New Delhi 110 003, IN
1 India Meteorological Department, New Delhi 110 003, IN
Source
Current Science, Vol 109, No 3 (2015), Pagination: 580-591Abstract
An observational analysis of the catastrophic rainstorm during 4-6 September 2014 over Jammu and Kashmir (J&K) presented in this study shows that the event was unprecedented in terms of the 24, 48 and 72 h accumulated rainfall. The 24 h accumulated rainfall exceeded the previously determined one-day severe rainstorm limits of 20 cm for a number of stations on 5 and 6 September 2014. Weekly cumulative rainfall (4-10 September 2014) exceeded the average rainfall of the entire monsoon season (June-September) in 6 out 18 districts of the state. A number of stations recorded all-time highest 24, 48 and 72 h accumulated rainfall during the week. Analysis of short-duration intensity of rainfall shows that the heaviest rain-rate (35 mm/h) was recorded over Kawa (Üdhampur district). The rain-rate remained less than 20 mm/h at other stations. As Kawa is on the windward side of the Pir Panjal Range, orography seems to have played a significant role. The analysis of synoptic conditions leading to unprecedented rainfall shows that the rains were caused by the interaction of the westwardmoving monsoon low pressure area across central and northwest India and a eastward-moving deep trough in the mid-tropospheric westerlies. The additional low pressure areas that formed over Saurashtra and Kutch on 3 September 2014 and over head Bay of Bengal on 5 September 2014, ensured the vigour of the event was maintained through strong wind and moisture flux in J&K. NWP models could capture heavy rains over J&K only in day 1 forecast.Keywords
Accumulated Rainfall, Low Pressure Area, Observational Analysis, Rainstorm.Full Text
- Heavy Rainfall in the Kedarnath Valley of Uttarakhand during the Advancing Monsoon Phase in June 2013
Abstract Views :197 |
PDF Views:91
Authors
Affiliations
1 40, Mausam Vihar, New Delhi 110 051, IN
2 India Meteorological Department, New Delhi 110 003, IN
3 Ministry of Earth Sciences, New Delhi 110 003, IN
1 40, Mausam Vihar, New Delhi 110 051, IN
2 India Meteorological Department, New Delhi 110 003, IN
3 Ministry of Earth Sciences, New Delhi 110 003, IN
Source
Current Science, Vol 109, No 2 (2015), Pagination: 353-361Abstract
During the monsoon season of 2013, the advance of monsoon over northwest (NW) Indian region showed large abnormality as arrival of rainfall over Punjab, Himachal Pradesh (HP), Uttarakhand, Haryana and Delhi occurred between 13 and 16 June 2013, nearly twice the standard deviation earlier than normal. Such an early arrival by mid-June has been exceptional. The event was marked by unprecedented very heavy rainfall between 14 and 18 June 2013 over different meteorological sub-divisions of NW India. The event also led to human tragedy in Uttarakhand, in which many local people and pilgrims lost their lives. This heavy rainfall in fact moved from Punjab and HP during 14 and 15 June 2013 to Uttarakhand. The rainfall between 14 and 18 June 2013 over NW India was highly organized and it was continuously sustained with mesoscale enhanced intensity over Uttarakhand, which dispels the opinion about cloudburst. The present communication is aimed to study the observational aspects of the vigorous and rapid advance of monsoon rainfall over NW India and its intensification during 15-17 June 2013 over Uttarakhand.Keywords
Heavy Rainfall, Landslides, Monsoon Season, Rapid Advance.Full Text
- Rice (Oryza sativa L.) Yield Gap Using the CERSE-Rice Model of Climate Variability for Different Agroclimatic Zones of India
Abstract Views :298 |
PDF Views:128
Authors
P. K. Singh
1,
K. K. Singh
1,
L. S. Rathore
1,
A. K. Baxla
1,
S. C. Bhan
1,
Akhilesh Gupta
2,
G. B. Gohain
1,
R. Balasubramanian
3,
R. S. Singh
4,
R. K. Mall
4
Affiliations
1 Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
2 Deparment of Science and Technology, New Delhi 110 016, IN
3 Agrimet Pune, New Delhi 411 005, IN
4 Banaras Hindu University, Varanasi 221 005, IN
1 Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
2 Deparment of Science and Technology, New Delhi 110 016, IN
3 Agrimet Pune, New Delhi 411 005, IN
4 Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 110, No 3 (2016), Pagination: 405-413Abstract
The CERES (crop estimation through resource and Environment Synthesis)-rice model incorporated in DSSAT version 4.5 was calibrated for genetic coefficients of rice cultivars by conducting field experiments during the kharif season at Jorhat, Kalyani, Ranchi and Bhagalpur, the results of which were used to estimate the gap in rice yield. The trend of potential yield was found to be positive and with a rate of change of 26, 36.9, 57.6 and 3.7 kg ha-1 year-1 at Jorhat, Kalyani, Ranchi and Bhagalpur districts respectively. Delayed sowing in these districts resulted in a decrease in rice yield to the tune of 35.3, 1.9, 48.6 and 17.1 kg ha-1 day-1 respectively. Finding reveals that DSSAT crop simulation model is an effective tool for decision support system. Estimation of yield gap based on the past crop data and subsequent adjustment of appropriate sowing window may help to obtain the potential yields.Keywords
Agroclimatic Zones, Genetic Coefficients, Rice Model, Yield Gap.Full Text
References
- Patel, H. R. and Shekh, A. M., Yield gap and trend analysis of wheat using CERES-wheat model in three districts of Gujarat state. J. Agrometeorol., 2006, 8(1), 28–39.
- Patel, V. J., Patel, H. R. and Pandey, V., Estimation of wheat yield gap in Anand and Panchmahal districts using CERES-wheat model. J. Agrometeorology. (Spec. Issue-part-2), 2008, 393–397.
- Bell, M. A. and Fischer, R. A., Using yield predication to assess yield grains: a case study for wheat. Field Crops Res., 1994, 36, 161–166.
- Aggarwal, P. K. and Kalra, N., Analysing the limitation set by climatic factors, genotype and water and nitrogen availability on productivity of wheat II. Climatic potential yield and management strategies. Field Crops Res., 1994, 38, 93–103.
- Aggarwal, P. K., Hebbar, K. B., Venugopalan, M. V., Rani, S., Bala, A., Biswal, A. and Wani, S. P., Quantification of yield gaps in rain-fed rice, wheat, cotton and mustard in India. Global theme on agro ecosystems, report no. 43 and page 36, ICRISAT, Hyderabad, 2008.
- Pathak, H. et al., Trend of climatic potential and on-farm yield of rice and wheat in the Indo-Gangetic Plains. Field Crops Res., 2003, 80, 223–234.
- Wickham, T. H., Predicting yield in lowland rice through a water balance model in Philippine irrigation systems: research and operations. International Rice Research Institute (IRRI), Los Banos, Philippines, 1973, pp. 155–181.
- Ahuja, S. P., Computer simulation of primary production of semiaquatic system using rice (Oryza sativa). Analysis and modeling of the physics of biological–climatological coupling. Ph D thesis, University of California, Devis, 1974.
- Angus, J. F. and Zandstra, H. G., Climatic factors and the modeling of rice growth and yield. In Agrometeorology of the Rice Crop, IRRI, Los Banos, Philippines, 1979, pp. 189–199.
- Kropff, M. J., Van Laar, H. H. and Mathews, R. B. (eds), ORYZA1, an ecophysiological model for irrigated rice production. In SARP Research Proceedings, AB-DLO and TPE-WAU, Wageningen and IRRI, Los Banos, 1994, p. 110.
- Penning de Vries, F. W. T., Jnasen, D. M., Ten Berge, H. F. M. and Bakema, A. H., Simulation of Ecophysiological Processes of Growth of Several Annual Crops, PUDOC, Wageningen, 1989, p. 271.
- Whisler, F. D., Sensitivity test of the crop variables in RICEMOD, IRRI, Res., Pap. Ser., 1983, pp. 89–103.
- Attachai, J., A decision support system for rapid assessment of low land rice-based alternative in Thailand. Agric. Syst., 1995, 47, 245–258.
- Diwakar, M. C. (ed.), Rice in India during 10th Plan, Directorate of Rice Development, Patna, 2009.
- Ritchie, J. T., Wheat phasic development, In Modelling Plant and Soil System (eds Hanks, J. and Ritchie, J. T.), Agron. Mongr., ASA, CSSA, Madison, WI, USA, 1991, p. 31.
- Singh, K. K., Baxla, A. K., Singh, P. K. and Balasubramanian, R., A report on database for rice cultivars used in CERES-rice crop simulation model in different agroclimatic zones of India, Agromet Service Cell, New Delhi, 2010.
- Singh, P. K., Singh, K. K., Baxla, A. K., Rathore, L. S., Kumar, B., Balasubramanian, R. and Tyagi, B. S., Crop yield prediction using CERES-rice model for the climate variability of South Bihar alluvial zone of Bihar (India). AP Chapter of Association of Agrometeorologists National Symposium on Agro Meteorology, at Central Research Institute for Dry land Agriculture (CRIDA), Hyderabad, 2013, pp. 22–23.
- Singh, P. K., Singh, K. K., Baxla, A. K. and Rathore, L. S., Impact of climatic variability on Rice productivity using CERES-rice models Eastern plain zone of Uttar Pradesh. In Third International Agronomy Congress on ‘Agriculture Diversification, Climate Change Management and Livelihoods’, IARI, New Delhi, 26–30 November 2012 and extended summaries vol. (2), 2012, pp. 236– 237.
- Sinha, S. K., Singh, G. B. and Rai, M., Decline in Crop Productivity in Harayana and Punjab: Myth or Reality? Indian Council of Agricultural Research, New Delhi, 1998, p. 89.
- Bhandari, A. L., Ladha, J. K., Pathak, H., Padre, A. T., Dawe, D. and Gupta, R. K., Trend of yield and soil nutrient status in longterm rice–wheat experiment in the Indo-Gangetic Plains of India. Soil Sci. Soc. Am. J., 2002, 66, 162–170.
- Yadav, R. L., Diwivedi, B. S., Orsad, K., Tomar, O. K., Shurapali, N. J. and Pandey, P. S., Yield trends and changes in soil organic-C and available NPK in a long-term rice–wheat system under integrated use of manures and fertilizers. Field Crops Res., 2000, 68, 219–246.
- Akula, B., Estimating wheat yields in Gujarat using WTGROWS and INFOCROP models. Ph D thesis, Anand Agriculture University, Sardar Krishinagar, Anand, Gujarat, India, 2003.
- Mall, R. K. and Srivastava, M. K., Prediction of potential and attainable yield of wheat: a case study on yield gap. Mausam, 2002, 53, 45–52.
- Diurnal Variations in Rainfall over Indian Region Using Self Recording Raingauge Data
Abstract Views :257 |
PDF Views:90
Authors
Affiliations
1 India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
1 India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
Source
Current Science, Vol 110, No 4 (2016), Pagination: 682-686Abstract
Diurnal variation of rainfall of different intensities using self-recording raingauge data of about 150 stations spread across India is presented here. Analysis of annual average number of rainfall hours revealed that the highest number (>900) is realized over northeast India, followed by west coast (700-800). Lowest incidence (<100) was found over west Rajasthan. Distribution was nearly similar for hours with rainfall >10, >20 and >30 mm. A zone of less number of hours with different intensities extended from west Rajasthan to west Uttar Pradesh; and another one to south Tamil Nadu through Gujarat, west Madhya Pradesh and the rain shadow zones of Maharashtra, Karnataka and Andhra Pradesh. The percentage of contribution to total annual rainfall by intense rainfall of >20 mm and >30 mm, however, was found to be higher in the low rainfall zones and northwest India. Diurnal variation of rainfall showed prominent maxima in the early morning over northeast India; and in the afternoon/evening over northwest India and interior Peninsula. Coastal areas on east and west coast, however, did not exhibit any significant diurnal variations, but a tendency of higher frequency in the early morning was noticed.Keywords
Diurnal Variation, Katabatic–Anabatic Winds, Self-Recording Raingauge.Full Text
References
- Prasad, B., Diurnal variation of rainfall in India. Mausam, 1970, 21, 443-450.
- Prasad, B., Diurnal variation of rainfall in Brahmaputra valley.Mausam, 1974, 25, 245-250.
- Haldar, G. C., Sud, A. M. and Marathe, S. D., Diurnal variation of monsoon rainfall in central India. Mausam, 1991, 42, 37-40.
- Basu, B. K., Diurnal variation in precipitation over India during the summer monsoon season: observed and model. Monthly Weather Rev., 2007, 135(6), 2155-2167.
- Deshpande, N. R. and Goswami, B. N., Modulation of the diurnal cycle of rainfall over India by intraseasonal variations of Indian summer monsoon. Int. J. Climatol., 2013; doi:10.1002/joc.3719.
- SenRoy, S., A spatial analysis of extreme hourly precipitation patterns in India. Int. J. Climatol., 2009, 29, 345-355.
- Bhattacharya, P. K. and Bhattacharyya, S. G., Diurnal variation of rainfall in the upper catchments of north Bengal rivers. Mausam, 1980, 31, 51-54.
- Puri, S. R., Duggal, Y. M., Lal, B. and Kant, R., Some features of hourly rainfall during southwest monsoon season at Delhi. Mausam, 1994, 45, 35-42.
- Krishnamurti, T. N. and Kishtawal, C. M., A pronounced continentalscale diurnal mode of the Asian summer monsoon. Mon. Weather Rev., 2000, 128, 462-473.
- Rajeevan, M., Unnikrishnan, C. K., Bhate, J., Niranjan, K. K. and Sreekala, P. P., Meteorol. Appl., 2012, 19, 226-236.
- Esri, ArcGIS Help 10.1 - What’s new in ArcGIS Geostatistical Analyst 10.1; http://resources.arcgis.com/en/help/main/10.1/index.html#//016w0000003n000000.
- Goswami, B. N., Venugopal, V., Sengupta, D., Madhusoodanan, M. S. and Xavier, P. K., Increasing trend of extreme rain events over India in a warming environment. Science, 2006, 314, 1442-1445.
- Impact of Projected Climate Change on Rice (Oryza sativa L.) Yield Using CERES-Rice Model in Different Agroclimatic Zones of India
Abstract Views :237 |
PDF Views:80
Authors
P. K. Singh
1,
K. K. Singh
1,
S. C. Bhan
1,
A. K. Baxla
1,
Sompal Singh
2,
L. S. Rathore
1,
Akhilesh Gupta
3
Affiliations
1 Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
2 Department of Agriculture Meteorology, Punjab Agriculture University, Ludhiana 141 004, IN
3 Department of Science and Technology, New Delhi 110 016, IN
1 Agromet Service Cell, India Meteorological Department, Lodhi Road, New Delhi 110 003, IN
2 Department of Agriculture Meteorology, Punjab Agriculture University, Ludhiana 141 004, IN
3 Department of Science and Technology, New Delhi 110 016, IN
Source
Current Science, Vol 112, No 01 (2017), Pagination: 108-115Abstract
Climate change is projected to alter the growing conditions of rice crop in different regions of India. Crop growth simulation model (DSSATv4.6) was calibrated and evaluated with four rice cultivars: PR 118 in Amritsar, Ludhiana; HKR 126 in Hisar and Ambala; Pant 4 in Kanpur and Sugandha-1126 in Modipuram on different sowing dates. The average yield of the selected optimum dates was 6391, 6531, 7751, 7561, 4347 and 4131 kg/ha for Amritsar, Ludhiana, Hisar, Ambala, Modipuram and Kanpur respectively. Both temperature and CO2 have increased. The combined effect of temperature and CO2 indicates decreased yield rate in the future decades. The present study shows that rice yield will decrease in the future and this may be due to increase in temperature. According to projection results, for all the locations average yield is higher in the decade 2010, except Amritsar in the decade 2030 and Ludhiana in the decade 2050. The average yield at Hisar, Ambala, Modipuram and Kanpur in 2010 was 7744, 7654, 4347 and 4021 kg/ha respectively. Amritsar and Ludhiana showed maximum average yield of 6880 and 6877 kg/ha respectively, in the decade 2030. Such yield reductions in rice crops due to climate change are mediated through reduction in crop duration, grain number and grain filling duration. These projections nevertheless provide a direction of likely change in crop productivity in future climate change scenarios.Keywords
Agroclimatic Zones, Climate Change, Crop Simutation Models, Rice.Full Text