Relevant bibliographies by topics / Indian Summer Monsoon Rainfall (ISMR)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Indian Summer Monsoon Rainfall (ISMR)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Indian Summer Monsoon Rainfall (ISMR)"

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Bhatla, Rajeev, Manas Pant, Soumik Ghosh, Shruti Verma, Nishant Pandey, and Sanjay Bist. "Variations in Indian Summer Monsoon Rainfall patterns in Changing Climate." MAUSAM 74, no. 3 (2023): 639–50. http://dx.doi.org/10.54302/mausam.v74i3.5940.

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The Indian summer monsoon is a large scale synoptic and dominant circulation feature which is largely restricted to the summer months from June to September. The proper understanding of rainfall pattern and its trends may help water resources development, agriculture sector and to take decisions for developmental activities. The present study is an attempt to evaluate the spatial variability in Indian summer monsoon rainfall (ISMR) over the Indian subcontinent during the climatological period (1901-2010). The long-term annual, decadal and tricadal monsoon rainfall differences are considered fo
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Zheng, Yangxing, M. M. Ali, and Mark A. Bourassa. "Contribution of Monthly and Regional Rainfall to the Strength of Indian Summer Monsoon." Monthly Weather Review 144, no. 9 (2016): 3037–55. http://dx.doi.org/10.1175/mwr-d-15-0318.1.

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Indian summer monsoon rainfall (ISMR; June–September) has both temporal and spatial variability causing floods and droughts in different seasons and locations, leading to a strong or weak monsoon. Here, the authors present the contribution of all-India monthly, seasonal, and regional rainfall to the ISMR, with an emphasis on the strong and weak monsoons. Here, regional rainfall is restricted to the seasonal rainfall over four regions defined by the India Meteorological Department (IMD) primarily for the purpose of forecasting regional rainfall: northwest India (NWI), northeast India (NEI), cen
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Ihara, Chie, Yochanan Kushnir, Mark A. Cane, and Alexey Kaplan. "Timing of El Niño–Related Warming and Indian Summer Monsoon Rainfall." Journal of Climate 21, no. 11 (2008): 2711–19. http://dx.doi.org/10.1175/2007jcli1979.1.

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Abstract The relationship between all-India summer monsoon rainfall (ISMR) and the timing of (El Niño–Southern Oscillation) ENSO-related warming/cooling is investigated, using observational data during the period from 1881 to 1998. The analysis of the evolutions of Indo-Pacific sea surface temperature (SST) anomalies suggests that when ISMR is not below normal despite the co-occurrence of an El Niño event, warming over the eastern equatorial Pacific starts from boreal winter and evolves early so that the western-central Pacific and Indian Ocean are warmer than normal during the summer monsoon
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JENAMANI, RAJENDRA KUMAR, S. R. KALSI, H. R. HATWAR, and S. K. SUBRAMANIAN. "Another deficient monsoon 2004 - A comparison with drought year 2002 and possible causes." MAUSAM 58, no. 2 (2021): 161–76. http://dx.doi.org/10.54302/mausam.v58i2.1199.

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The rainfall over India as a whole during the summer monsoon season of 2004 was deficient with –13% below normal. Earlier in 2002, India has faced another worst situation when large-scale drought occurred and all India rainfall was below –19%. In the present study, we have compared briefly salient observational features of both the monsoons to find out their distinct characteristics. Comparisons show appearance of many similar as well as contrasting features. Though, both seasons were deficient, their dates of onset of monsoon over Kerala were either before or near the normal date. Progress up
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JENAMANI, RAJENDRA KUMAR, and S. K. DASH. "A study on the role of synoptic and semi-permanent features of Indian summer monsoon on it’s rainfall variations during different phases of El-Nino." MAUSAM 56, no. 4 (2022): 825–40. http://dx.doi.org/10.54302/mausam.v56i4.1038.

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Characteristics of different synoptic and semi-permanent features of Indian Summer Monsoon Rainfall (ISMR), such as monsoon disturbances (lows and depressions), monsoon trough and Tibetan anticyclone and duration of monsoon, are studied individually for different phases of El-Nino during the period 1960-98 to understand why during some El-Nino single events, ISMR was deficient while during other years, ISMR was on the positive side of normal or normal. This study examines cases of El-Nino double events with deficient and near deficient ISMR in one of the two years and in both the years respect
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BALA, INDU, and O. P. SINGH. "Relationship between Indian Ocean dipole mode and summer monsoon." MAUSAM 59, no. 2 (2021): 167–72. http://dx.doi.org/10.54302/mausam.v59i2.1248.

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Utilizing the Indian Ocean Dipole Mode (IODM) and Indian Summer Monsoon Rainfall (ISMR) data for the period 1960-2002 the relationships between the IODM and monsoon onset over Kerala and rainfall distribution over the country have been studied. It has been found that stronger/weaker western pole during April-May is associated with delayed/early monsoon onset over Kerala. Stronger eastern pole during March-April seems to be associated with enhanced seasonal (June-September) rainfall over peninsular India. The IODM index of July-August can provide good indications of summer monsoon activity over
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RAJEEVAN, M., D. S. PAI, and V. THAPLIYAL. "Predictive relationships between Indian Ocean sea surface temperatures and Indian summer monsoon rainfall." MAUSAM 53, no. 3 (2022): 337–48. http://dx.doi.org/10.54302/mausam.v53i3.1650.

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Monthly sea surface temperature (SST) data of 49 years (1950-98) have been analysed to examine the relationship of SST anomalies in the Indian Ocean with Indian summer monsoon rainfall (ISMR) and to derive useful predictors for long-range forecasts of ISMR. There is significant positive relationship between ISMR and SST anomalies over the Arabian Sea during November to January and also in May. SST anomalies over southeast Indian Ocean during February to March and over North Pacific during May are also positively correlated with ISMR. The composite analysis revealed that in Non-ENSO drought yea
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ROHILLA, ANIL KUMAR, D. S. PAI, and M. RAJEEVAN. "Relationship between lower stratospheric circulation and Indian summer monsoon rainfall : Implication for long range forecasts." MAUSAM 59, no. 2 (2021): 173–84. http://dx.doi.org/10.54302/mausam.v59i2.1249.

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In this study teleconnections between monthly northern hemisphere lower stratospheric geopotential heights (100, 50, 30 hPa) and seasonal Indian Summer Monsoon Rainfall (ISMR) have been established through the correlation analysis. Stable and consistent precursory signals for the ensuing monsoon were identified from the significant teleconnections. The usefulness of the precursory signals for the prediction of ISMR was also tested using a simple multiple linear regression model. These precursory signals show a good potential in the long range prediction scheme of Indian Summer Monsoon Rainfall
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SARKAR, PARTHAPRATIM, PRASHANTH JANARDHAN, and PARTHAJIT ROY. "Indian Ocean Dipole : Assessing its impacts on the Indian Summer Monsoon Rainfall (ISMR) across North East India." MAUSAM 72, no. 4 (2021): 821–34. http://dx.doi.org/10.54302/mausam.v72i4.3550.

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The Indian Ocean Dipole (IOD), a climatic anomaly, results in sustained sea surface temperature (SST) variations between tropical western and eastern Indian Ocean temperatures. In this study, we studied the variations to inculcate the teleconnections between IOD and Indian summer monsoon rainfall (ISMR) distribution across the country for the period 1960-2020 for all the three phases of ISMR. We analyzed rainfall, SST and low-level wind circulation anomalies for the above mentioned time horizon. Positive IOD events noticeably resulted in increase in summer monsoon rainfall distribution across
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SARKAR, PARTHAPRATIM, PRASHANTH JANARDHAN, and PARTHAJIT ROY. "Indian Ocean Dipole : Assessing its impacts on the Indian Summer Monsoon Rainfall (ISMR) across North East India." MAUSAM 72, no. 4 (2021): 821–34. http://dx.doi.org/10.54302/mausam.v72i4.597.

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The Indian Ocean Dipole (IOD), a climatic anomaly, results in sustained sea surface temperature (SST) variations between tropical western and eastern Indian Ocean temperatures. In this study, we studied the variations to inculcate the teleconnections between IOD and Indian summer monsoon rainfall (ISMR) distribution across the country for the period 1960-2020 for all the three phases of ISMR. We analyzed rainfall, SST and low-level wind circulation anomalies for the above mentioned time horizon. Positive IOD events noticeably resulted in increase in summer monsoon rainfall distribution across
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Dissertations / Theses on the topic "Indian Summer Monsoon Rainfall (ISMR)"

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Achuthavarier, Deepthi. "Role of the Indian and Pacific Oceans in the Indian summer monsoon variability." Fairfax, VA : George Mason University, 2009. http://hdl.handle.net/1920/4524.

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Thesis (Ph.D.)--George Mason University, 2009.<br>Vita: p. 179. Thesis director: V. Krishnamurthy. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Dynamics. Title from PDF t.p. (viewed June 10, 2009). Includes bibliographical references (p. 171-178). Also issued in print.
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Choi, Byoung-Choel. "On the relationship between Eurasian snow cover, Asian summer rainfall, atmospheric circulation and sea surface temperature." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323225.

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Ghosh, Rohit. "Interannual Variation of Monsoon in a High Resolution AGCM with Climatological SST Forcing." Thesis, 2013. http://etd.iisc.ernet.in/2005/3350.

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Interannual variation of Indian summer (June-September: JJAS) monsoon rainfall (ISMR) depends on its relative intensity during early (June-July: JJ; contribution 52%) and late (August-September: AS; contribution 49%) phases. Apart from variations in sea surface temperature (SST), the primary reasons behind the variability during JJ and AS can be very different due to change in climatic conditions on account of post-onset processes. Here, using a high resolution general circulation model with seasonally varying climatological SST, mechanisms those govern the intensity of rainfall during JJ and
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Maity, Rajib. "Impact Of Large-Scale Coupled Atmospheric-Oceanic Circulation On Hydrologic Variability And Uncertainty Through Hydroclimatic Teleconnection." Thesis, 2007. http://hdl.handle.net/2005/721.

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In the recent scenario of climate change, the natural variability and uncertainty associated with the hydrologic variables is of great concern to the community. This thesis opens up a new area of multi-disciplinary research. It is a promising field of research in hydrology and water resources that uses the information from the field of atmospheric science. A new way to identify and capture the variability and uncertainty associated with the hydrologic variables is established through this thesis. Assessment of hydroclimatic teleconnection for Indian subcontinent and its use in basin-scale hydr
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Bhattacharya, Anwesa. "Role of Aerosols in Modulating the Intraseasonal Oscillations of Indian Summer Monsoon." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2864.

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In this thesis, we have presented a systematic analysis of the change of cloud properties due to variation in aerosol concentration over Indian region using satellite observations, and Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) simulations. The Tropical Rainfall Measurement Mission (TRMM) based Microwave Imager (TMI) estimates (2A12) have been used to compare and contrast the characteristics of cloud liquid water and ice over the Indian land region and the surrounding oceans, during the pre-monsoon (May) and monsoon (June–September) seasons. Based on the spatial h
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Karmakar, Nirupam. "Space-Time Evolution of the Intraseasonal Variability in the Indian Summer Monsoon and its Association with Extreme Rainfall Events : Observations and GCM Simulations." Thesis, 2016. http://hdl.handle.net/2005/3205.

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In this thesis, we investigated modes of intraseasonal variability (ISV) observed in the Indian monsoon rainfall and how these modes modulate rainfall over India. We identified a decreasing trend in the intensity of low-frequency intraseasonal mode with increasing strength in synoptic variability over India. We also made an attempt to understand the reason for these observed trends using numerical simulations. In the first part of the thesis, satellite rainfall estimates are used to understand the spatiotem-poral structures of convection in the intraseasonal timescale and their intensity durin
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Surendran, Sajani. "Simulation Of Monsoon Precipitation And Its Variation By Atmospheric General Circulation Models." Thesis, 1998. http://etd.iisc.ernet.in/handle/2005/2161.

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Dhanya, C. T. "Hydroclimatological Modeling Using Data Mining And Chaos Theory." Thesis, 2010. http://etd.iisc.ernet.in/handle/2005/2226.

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The land–atmosphere interactions and the coupling between climate and land surface hydrological processes are gaining interest in the recent past. The increased knowledge in hydro climatology and the global hydrological cycle, with terrestrial and atmospheric feedbacks, led to the utilization of the climate variables and atmospheric tele-connections in modeling the hydrological processes like rainfall and runoff. Numerous statistical and dynamical models employing different combinations of predictor variables and mathematical equations have been developed on this aspect. The relevance of predi
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Books on the topic "Indian Summer Monsoon Rainfall (ISMR)"

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Kulkarni, Ashwini. Intra-seasonal vagaries of the Indian summer monsoon rainfall. Indian Institute of Tropical Meteorology, 2006.

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Rajeevan, M. Active and break spells of the Indian summer monsoon. National Climate Centre, Office of the Additional Director General of Meteorology (Research), India Meteorological Dept., 2008.

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K, Sahai A., and Indian Institute of Tropical Meteorology., eds. Prospects of prediction of Indian summer monsoon rainfall using global SST anomalies. [Indian Institute of Tropical Meteorology], 2002.

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4

Sahai, A. K. Reduction of AGCM systematic error by artificial neural network: A new approach for dynamical seasonal prediction of Indian summer monsoon rainfall. [Indian Institute of Tropical Meteorology], 2000.

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Goswami, B. N., and Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

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Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the sta
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Kucharski, Fred, and Muhammad Adnan Abid. Interannual Variability of the Indian Monsoon and Its Link to ENSO. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.615.

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The interannual variability of Indian summer monsoon is probably one of the most intensively studied phenomena in the research area of climate variability. This is because even relatively small variations of about 10% to 20% from the mean rainfall may have dramatic consequences for regional agricultural production. Forecasting such variations months in advance could help agricultural planning substantially. Unfortunately, a perfect forecast of Indian monsoon variations, like any other regional climate variations, is impossible in a long-term prediction (that is, more than 2 weeks or so in adva
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Hameed, Saji N. The Indian Ocean Dipole. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.619.

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Discovered at the very end of the 20th century, the Indian Ocean Dipole (IOD) is a mode of natural climate variability that arises out of coupled ocean–atmosphere interaction in the Indian Ocean. It is associated with some of the largest changes of ocean–atmosphere state over the equatorial Indian Ocean on interannual time scales. IOD variability is prominent during the boreal summer and fall seasons, with its maximum intensity developing at the end of the boreal-fall season. Between the peaks of its negative and positive phases, IOD manifests a markedly zonal see-saw in anomalous sea surface
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Book chapters on the topic "Indian Summer Monsoon Rainfall (ISMR)"

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Chandar, Abhishek, Surya Kiran Suresh, and P. Mohamed Fathimal. "Prediction of Annual Indian Summer Monsoon Rainfall (ISMR) Using Parametric Deep Learning Model." In Advances in Data and Information Sciences. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5689-7_16.

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Sarkar, Partha Pratim, Prashanth Janardhan, and Parthajit Roy. "Analysing the Changing Variations of Indian Ocean Dipole (IOD)—Indian Summer Monsoon Rainfall (ISMR) Relationship Across Northeast India." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4055-2_47.

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Bajpai, Vikas, Tanvin Kalra, and Anukriti Bansal. "A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR)." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28183-9_45.

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Singh, Pritpal. "Indian Summer Monsoon Rainfall Prediction." In Applications of Soft Computing in Time Series Forecasting. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26293-2_7.

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Joseph, Porathur V. "Role of Ocean in the Variability of Indian Summer Monsoon Rainfall." In The Earth's Hydrological Cycle. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8789-5_11.

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Shukla, Ravi P., K. C. Tripathi, Sandipan Mukherjee, Avinash C. Pandey, and I. M. L. Das. "Improved Seasonal Predictability Skill of the DEMETER Models for Central Indian Summer Monsoon Rainfall." In Challenges and Opportunities in Agrometeorology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19360-6_9.

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Singh, Charu, Dilip Ganguly, and S. K. Dash. "Investigation of the Relationship Between Natural Aerosols and Indian Summer Monsoon Rainfall Using a Climate Model." In Climate Change Impacts. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5714-4_11.

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Saxena, Harshita, and Vivek Kumar Pandey. "Investigation of Indian Summer Monsoon Rainfall Relationship with the Bay of Bengal Sea Surface Temperature and Currents." In Earth and Environmental Sciences Library. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76116-5_12.

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Hadiningrum, Trisni, Deni Okta Lestari, and Trismidianto. "Comparison Influencing of El-Nino Southern Oscillation and Indian Ocean Dipole on Rainfall Variability During the Asian Winter and Summer Monsoon Over Indonesian Maritime Continent." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9768-6_28.

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Feba, F., D. Govardhan, C. T. Tejavath, and Karumuri Ashok. "ENSO Modoki teleconnections to Indian summer monsoon rainfall—A review." In Indian Summer Monsoon Variability. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822402-1.00003-x.

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Conference papers on the topic "Indian Summer Monsoon Rainfall (ISMR)"

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Kumar, Aman, and Samayveer Singh. "A Review on Indian Summer Monsoon Rainfall Prediction Using Machine Learning Techniques." In 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). IEEE, 2021. http://dx.doi.org/10.1109/icsccc51823.2021.9478104.

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Dash, Yajnaseni, Saroi K. Mishra, and Bijaya K. Panigrahi. "Neural Network Based Approaches for Prediction of the Indian Summer Monsoon Rainfall." In 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2019. http://dx.doi.org/10.1109/icicict46008.2019.8993188.

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Chattopadhyay, Goutami, and Surajit Chattopadhyay. "Neurocoputing Approach to View The Possible Association Between Sunspot Numbers and Indian Summer Monsoon Rainfall." In 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC). IEEE, 2019. http://dx.doi.org/10.23919/ursiap-rasc.2019.8738322.

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Karmakar, Nirupam, Arindam Chakraborty, and Ravi S. Nanjundiah. "The spatio-temporal structures and role of low- and high-frequency intraseasonal modes in Indian Summer monsoon rainfall observed in TRMM data." In SPIE Asia-Pacific Remote Sensing, edited by Tiruvalam N. Krishnamurti and Madhavan N. Rajeevan. SPIE, 2016. http://dx.doi.org/10.1117/12.2228030.

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