Refine your search
Collections
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chakraborty, Arindam
- Acrobotrys disolenia Haeckel from the Late Miocene of Andaman and Nicobar Islands
Abstract Views :351 |
PDF Views:83
Authors
Affiliations
1 Birbal Sahni Institute of Palaeobotany, 53 University Road, Lucknow 226 007, IN
1 Birbal Sahni Institute of Palaeobotany, 53 University Road, Lucknow 226 007, IN
Source
Current Science, Vol 108, No 11 (2015), Pagination: 1990-1993Abstract
No Abstract.Full Text
- Integrated Coastal Zone Management: A Sustainable Way to Manage the Coastal Zone
Abstract Views :241 |
PDF Views:85
Authors
Affiliations
1 Birbal Sahni Institute of Palaeobotany, 53, University Road, Lucknow 226 007, IN
1 Birbal Sahni Institute of Palaeobotany, 53, University Road, Lucknow 226 007, IN
Source
Current Science, Vol 107, No 10 (2014), Pagination: 1637-1638Abstract
No Abstract.Full Text
- The Inscrutable Monsoon?
Abstract Views :249 |
PDF Views:75
Authors
Affiliations
1 Centre for Atmospheric and Oceanic Sciences and Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
1 Centre for Atmospheric and Oceanic Sciences and Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
Source
Current Science, Vol 111, No 8 (2016), Pagination: 1305-1306Abstract
The monsoon of 2016 has been an intriguing one. With two droughts in a row (2014 and 2015) hope was running high for a good monsoon. Indeed, all portents at the beginning of the monsoon appeared to be good. Most major forecasting centres predicted the end of El-Nino, a warming in far-off equatorial Pacific that is known to be associated with weakening of monsoon rainfall, and the return of the La-Nina, the cold phase over equatorial Pacific that has been observed to be associated with higher monsoon rainfall.Full Text
References
- Saha, M. et al., Meteorol. Atmos. Phys., 2016a; doi:10.1007/s00703-016-0431-7.
- Saha, M. et al., Theor. Appl. Climatol., 2016b (under revision).
- Indian Summer Monsoon
Abstract Views :218 |
PDF Views:85
Authors
Affiliations
1 Centre for Atmospheric and Oceanic Sciences, and Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
2 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
1 Centre for Atmospheric and Oceanic Sciences, and Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
2 Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 735-736Abstract
Will the onset of the Indian summer monsoon change due to increased concentration of anthropogenic aerosols? What should be an ideal definition of the onset of monsoon? How will the onset of the Indian monsoon change in the future? These were some of the key questions that were discussed in a workshop held recently.Full Text
- Do Seasonal Forecasts of Indian Summer Monsoon Rainfall Show Better Skill with February Initial Conditions?
Abstract Views :174 |
PDF Views:89
Authors
Affiliations
1 Multi-Scale Modelling Programme, CSIR Fourth Paradigm Institute, Bengaluru 560 037, IN
2 Multi-Scale Modelling Programme, CSIR Fourth Paradigm Institute, Bengaluru 560 037, IN
3 Academy of Scientific and Innovative Research, Ghaziabad 201 002, IN
4 Centre for Atmospheric and Oceanic Sciences; and DST Centre for Excellence in Climate Change, Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012India, IN
1 Multi-Scale Modelling Programme, CSIR Fourth Paradigm Institute, Bengaluru 560 037, IN
2 Multi-Scale Modelling Programme, CSIR Fourth Paradigm Institute, Bengaluru 560 037, IN
3 Academy of Scientific and Innovative Research, Ghaziabad 201 002, IN
4 Centre for Atmospheric and Oceanic Sciences; and DST Centre for Excellence in Climate Change, Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012India, IN
Source
Current Science, Vol 120, No 12 (2021), Pagination: 1863-1874Abstract
Prediction for Indian summer monsoon rainfall (ISMR) is generated by integrating model from initial conditions (ICs) of weather at some time prior to season. We examine the factors responsible for the widely reported highest ISMR forecast skill for February ICs in climate forecast system (CFSv2) model. Skill for February ICs is highest only based on correlation between observed and predicted year-to-year variation of ISMR, whereas other skill scores indicate highest skill for late-April/early-May ICs having shorter yet useful forecast lead-time. Higher correlation for February ICs arises from correct forecasting of 1983 ISMR excess, which is however due to wrong forecast of La Niña and correlation drops to lower value than that for late-April/early-May ICs if 1983 is excluded. Forecast skill for sea-surface temperature variation over equatorial central Pacific (ENSO) in Boreal summer is lowest for February ICs indicating role of dynamical drift induced by long forecast lead-time. Model deficiencies such as oversensitivity of ISMR to ENSO and unrealistic ENSO influence on variation of convection over equatorial Indian Ocean (EQUINOO) lead to errors in ISMR forecasting. In CFSv2, ISMR is mostly decided by ENSO whereas in observation it is influenced by ENSO and EQUINOO independently.Keywords
Boundary Forcing, Forecast Skill, Seasonal Forecasts, Sea-Surface Temperature, Summer Monsoon Rainfall.Full Text
References
- DelSole, T. and Shukla, J., Climate models produce skillful predictions of Indian summer monsoon rainfall. Geophys. Res. Lett., 2012, 39, L09703; doi:10.1029/2012GL051279.
- Saha, S. et al., The NCEP climate forecast system reanalysis. Bull. Amer. Meteorol. Soc., 2010, 91, 1015–1057.
- Krishnamurthy, V. and Rai, S., Predictability of South Asian monsoon circulation in the NCEP climate forecast system. Adv. Geosci., 2011, 22, 65–76.
- Pattanaik, D. R., Mukhopadhyay, B. and Kumar, A., Monthly forecast of Indian southwest monsoon rainfall based on NCEP’s coupled forecast system. Atmos. Climate Sci., 2012, 2(4), 479–491.
- Saha, S. et al., The NCEP climate forecast system version 2. J. Climate, 2014, 27, 2185–2208.
- Pattanaik, D. R. and Kumar, A., Prediction of summer monsoon rainfall over India using the NCEP climate forecast system. Climate Dyn., 2010, 34, 557–572.
- Charney, J. G. and Shukla, J., Predictability of monsoons. Monsoon Dyn., 1981, 4, 99–109.
- Rasmusson, E. M. and Carpenter, T. H., The relationship between eastern equatorial Pacific sea surface temperatures and rainfall over India and Sri Lanka. Mon. Weather Rev., 1983, 111(3), 517–528.
- Shukla, J. and Wallace, J. M., Numerical simulation of the atmospheric response to equatorial Pacific sea surface temperature anomalies. J. Atmos. Sci., 1983, 40, 1613–1630.
- Krishnamurthy, V. and Shukla, J., Predictability of the Indian monsoon in coupled general circulation models. COLA Tech. Rep., 2011, no. 313.
- Slingo, J. and Palmer, T. N., Uncertainty in weather and climate prediction. Philos. Trans. R. Soc. London Ser., 2011, 369, 4751–4767.
- Kumar, A., Chen, M. and Wang, W., An analysis of prediction skill of monthly mean climate variability. Climate Dyn., 2011, 37(5), 1119–1131.
- Webster, P. J. and Yang, S., Monsoon and ENSO: selectively interactive systems. Q. J. R. Meteorol. Soc., 1992, 118, 877–926.
- Pokhrel, S. et al., Seasonal prediction of Indian summer monsoon rainfall in NCEP CFSv2: forecast and predictability error. Climate Dyn., 2016, 46, 2305–2326.
- Ramu, D. A. et al., Indian summer monsoon rainfall simulation and prediction skill in the CFSv2 coupled model: impact of atmospheric horizontal resolution. J. Geophys. Res. Atmos., 2016, 121(5), 2205–2221.
- Pillai, P. A. et al., Seasonal prediction skill of Indian summer monsoon rainfall in NMME models and monsoon mission CFSv2. Int. J. Climatol., 2018, 38, e847–e861.
- Rao, S. A. et al., Monsoon Mission: a targeted activity to improve monsoon prediction across scales. Bull. Am. Meteorol. Soc., 2019, 100(12), 2509–2532.
- Schaeybroeck, B. V. and Vannitsem, S., Postprocessing of longrange forecasts. In Statistical Postprocessing of Ensemble Forecasts, Elsevier, 2019, chapter 10, pp. 267–290.
- Pai, D. S., Latha, S., Rajeevan, M., Sreejith, O. P., Satbhai, N. S. and Mukhopadhyay, B., Development of a new high spatial resolution (0.25° × 0.25°) long period (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam, 2014, 65, 1–18.
- Adler, R. F. et al., The version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J. Hydrometeorol., 2003, 4, 1147–1167.
- Rayner, N. A. et al., Global analyses of SST, sea ice and night marine air temperature since the late nineteenth century. J. Geophys. Res.: Atmos., 2003, 108, 4407; 10.1029/2002JD002670.
- Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S. and Schlax, M. G., Daily high-resolution blended analyses for sea surface temperature. J. Climate, 2007, 20, 5473–5496.
- Hersbach, H. et al., The ERA5 global reanalysis. Q. J. R. Meteorol. Soc., 2020, 146(730), 1999–2049.
- Gadgil, S., Vinayachandran, P. N., Francis, P. A. and Gadgil, S., Extremes of Indian summer monsoon rainfall, ENSO, equatorial Indian Ocean oscillation. Geophys. Res. Lett., 2004, 31, L12213.
- Gadgil, S., Rajendran, K. and Pai, D. S., A new rain-based index for the Indian summer monsoon rainfall. Mausam, 2019, 70(30), 485–500.
- Walker, G. T. and Bliss, E. W., World weather. Mem. R. Meteorol. Soc., 1932, 4, 53–84.
- Walker, G. T., Seasonal weather and its prediction. Nature, 1933, 132(3343), 805–808.
- Sikka, D. R., Some aspects of the large-scale fluctuations of summer monsoon rainfall over India in relation to fluctuations in the planetary and regional scale circulation parameters. Proc. Indian Acad. Sci. (Earth Planet. Sci.), 1980, 89, 179–195.
- Torrence, C. and Webster, P. J., Interdecadal changes in the ENSO-monsoon system. J. Climate, 1999, 12(8), 2679–2690.
- Kumar, K. K., Rajagopalan, B. and Cane, M. A., On the weakening relationship between the Indian monsoon and ENSO. Science, 1999, 284(5423), 2156–2159.
- Chen, W., Dong, B. and Lu, R., Impact of the Atlantic Ocean on the multidecadal fluctuation of El Niño-southern oscillation–south Asian monsoon relationship in a coupled general circulation model. J. Geophys. Res., 2010, 115, D17109.
- Kumar, K. K., Rajagopalan, B., Hoerling, M., Bates, G. and Cane, M. A., Unraveling the mystery of Indian monsoon failure during El Niño. Science, 2006, 314(5796), 115–119.
- Azad, S. and Rajeevan, M., Possible shift in the ENSO–Indian monsoon rainfall relationship under future global warming. Sci. Rep., 2016, 6(1), 20145.
- Fan, F. et al., Revisiting the relationship between the South Asian summer monsoon drought and El Niño warming pattern. Atmos. Sci. Lett., 2017, 18(4), 175–182.
- Vishnu, S., Francis, P. A., Ramakrishna, S. S. V. S. and Schenoi, S. S. C., On the relationship between the Indian summer monsoon rainfall and the EQUINOO in the CFSv2. Climate Dyn., 2019, 52, 1263–1281.
- Sperber, K. R. and Palmer, T. N., Interannual tropical rainfall variability in general circulation model simulations associated with the Atmospheric Model Intercomparison Project. J. Climate, 1996, 9, 2727–2750.
- Gadgil, S. and Sajani, S., Monsoon precipitation in the AMIP runs. Climate Dyn., 1998, 14, 659–689.
- Rajendran, K., Nanjundiah, R. S., Gadgil, S. and Srinivasan, J., How good are the simulations of tropical SST–rainfall relationship by IPCC AR4 atmospheric and coupled models? J. Earth Syst. Sci., 2012, 121(3), 595–610.
- Saji, N. H., Goswami, B. N., Vinayachandran, P. N. and Yamagata, T., A dipole in the tropical Indian Ocean. Nature, 1999, 401, 360–363.
- Sajani, S., Gadgil, S., Francis, P. A. and Rajeevan, M., Prediction of Indian rainfall during the summer monsoon season on the basis of links with equatorial Pacific and Indian Ocean climate indices. Environ. Res. Lett., 2015, 10, 094004.