(2B) Publications, from National & International projects of the Monsoon Mission, on the basis of Project PIs:
List of Papers from Projects funded by Monsoon Mission (Phase-1)
- Mohan, T., and H. Annamalai 2017: Extended monsoon episodes over South Asia:
Assessing thermodynamic processes in reanalysis ensemble (Clim. Dyn., submitted).
- Mohan T.S., Annamalai H, Marx L, Huang B and Kinter J (2018) Representation of Ocean-Atmosphere Processes Associated with Extended Monsoon Episodes over South Asia inCFSv2. Front. Earth Sci.6:9. doi: 10.3389/feart.2018.00009.
- Annamalai: Weak temperature approximation (WTG) limitations and monsoon breaks during the “onset-stage” over South Asia (submitted).
- Annamalai, T.S. Mohan, Arun Kumar and J.P. McCreary: CFSv2 skill in hindcasting monsoon extended episodes: process-based diagnostics to infer model parameterizations (in preparation).
- Annamalai, 2018: Model systematic errors in the annual cycle of monsoon: Inferences from process-based diagnostics. A chapter in “Current trends in the Representation of Physical Processes in Weather and Climate Model”.
Dr. Arindam Chakraborty
- Karmakar N, Chakraborty A, Nanjundiah RS. Increased sporadic extremes decrease the Intra-seasonal variability in the Indian summer monsoon rainfall. Scientific Reports.
2017 Aug 10;7(1):7824.
- Chakraborty A, Agrawal S. Role of west Asian surface pressure in summer monsoon
onset over central India. Environ Res Lett. 2017 Jun 26;12(7):074002–9.
- Arushi PV, Chakraborty A, Nanjundiah RS. Orographic control of the Bay of Bengal cold pool rainfall. Proc Indian Acad Sci (Earth Planet Sci). Springer India; 2017;126(8):111.
- Karmakar N, Chakraborty A, Nanjundiah RS. Space–Time Evolution of the Low- and High-Frequency Intra-seasonal Modes of the Indian Summer Monsoon. Mon. Wea. Rev.,
2017; 145(2): 413–35.
- Ghosh R, Chakraborty A, Nanjundiah RS. Relative role of pre-monsoon conditions and
Intra-seasonal oscillations in determining early-vs-late indian monsoon intensity in a
GCM. Theor. App.l Climatol., Theoretical and Applied Climatology; 2016 Oct 26;:1–15.
Dr. Brian Mapes:
- A Mausam manuscript describing our GFS-specific results on the dependence of forecast error on coefficient cxlamu is forthcoming (January 2018).
- A manuscript is being submitted in January 2018 to the INTROSPECT special volume, describing work by the PI and the NMM-supported postdoc (Suvarchal Cheedela) on the
monsoon-relevant process of convective momentum transport in another model whose data we happen to have unique access to (the high-resolution global NASA GEOS-5 “Nature Run”).
- Boos, William R., B. E. Mapes, and V. S. Murthy, 2017: Potential vorticity structure and propagation mechanism of Indian monsoon depressions. In The Global Monsoon System: Research and Forecast. World Scientific Press, pp. 187-199.
- Matilla, B., and B.E. Mapes, 2018: A global atlas of tropical precipitation extremes. In Tropical Extremes, edited by V. Venugopal. (In final preparation).
Dr. Andrew Turner:
- Bush, S.J., A.G. Turner, S. J. Woolnough, Gill M. Martin and N. P. Klingaman, 2015, The effect of increased convective entrainment on Asian monsoon biases in the MetUM General Circulation Model, Quarterly Journal of the Royal Meteorological Society, 141: 311-326, January 2015.
- Johnson, S. J., R.C. Levine, A. G. Turner, G. M. Martin, S. J. Woolnough, R. Schiemann, M. S. Mizielinski, M. J. Roberts, P. L. Vidale, M.-E. Demory and J. Strachan, 2016, The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM, Climate Dynamics, 46(3): 807-831.
- Jayakumar, A., G. Turner, S. J. Johnson, E. N. Rajagopal, Saji Mohandas and A. K. Mitra, 2017, Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model, Climate Dynamics, 49(5-6): 2035-2059.
- Johnson S. J., A. G. Turner, S. J. Woolnough, G. M. Martin and C. J. MacLachlan, 2017, An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon inter-annual variability in the Met Office GloSea5-GC2 system, Climate Dynamics, 48(5): 1447-1465.
- Chevuturi, A., A. G. Turner, J. Woolnough, G. Martin and C. MacLachlan, 2018, Indian summer monsoon onset forecast skill in the UK Met Office initialized coupled seasonal forecasting system (GloSea5-GC2), to be submitted to Climate Dynamics (in process, around April 2018)]
Dr. Arun Kumar
- Wang, W., M.-P. Hung, S. J. Weaver, A. Kumar,and X. Fu, 2014: MJO prediction in the
NCEP Climate Forecast System version 2. Climate Dynamics, DOI 10.1007/s00382-
- Wang, W., A. Kumar, X. Fu, 2015: How important is the sea surface temperature uncertainty in the prediction of tropical convection associated with the MJO?, Monthly Weather Review, 143, 3156-3175. DOI: 10.1175/MWR-D-14-00385.1.
- Ge, X., W. Wang, A. Kumar, and Y. Zhang, 2017: Importance of the Vertical Resolution in Simulating SST Diurnal and Intra-seasonal Variability in an Oceanic General Circulation Model. Journal of Climate, 30, 3963–3978.
- Zhang, W. Wang, and A. Kumar, 2018: Improved Boreal Summer Intra-seasonal Oscillation predictions associated with the representation of sea surface temperatures. (Being prepared).
Dr. Boualem Khouiider
- Ajayamohan, R.S., B. Khouider, A. J. Majda and Q. Deng (2016), Role of stratiform
heating on the organization of convection over the monsoon trough, Climate Dynamics,
- Deng, Q., B. Khouider, A. J. Majda and R. S. Ajayamohan (2015): Effect of Stratiform
Heating on the Planetary-Scale Organization of Tropical Convection, Journal of the
Atmospheric Sciences, doi: 10.1175/JAS-D-15-0178.1
- Ajayamohan, R.S., B. Khouider and A. J. Majda, (2014): Simulation of monsoon
Intra-seasonal oscillations in a coarse resolution aquaplanet GCM, Geophysical Research
Letters, 41, doi: 10.1002/2014GL060662
- De La Chevrotière M, Khouider B, a zonally symmetric model for the monsoon-hadley
circulation with stochastic convective forcing, Theor. Comput. Fluid Dyn. DOI:
- B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, A. Majda, Improving
Synoptic and Intra-Seasonal Variability in CFSv2 via Stochastic Representation of
Organized Convection, Geoph. Res. Lett. 44:1104–1113, 2017.
- B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda.
Implementation and calibration of a stochastic multicloud convective param eterization in the NCEP climate forecast system (cfsv2). Journal of Advances in Modeling Earth
Systems , 9(3):1721–1739, 2017
- B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda. Improved
tropical modes of variability in the ncep climate forecast system (version 2) via a
stochastic multicloud model. Journal of the Atmospheric Sciences , 74(10):3339–3366,
- De La Chevrotière M, Khouider B, Majda AJ (2014) Calibration of the stochastic
multicloud model using Bayesian inference. SIAM J Sci Comput 36(3):B538–B560
- De La Chevrotière, M., Khouider, B. & Majda: Stochasticity of convection in Giga-LES
data, A.J. Clim Dyn (2016) 47: 1845. doi:10.1007/s00382-015-2936-z
- B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda.,
Development and Implementation of a Stochastic Multi-cloud Model (SMCM)
convective parameterization in a climate model: Scopes and Opportunities, in Current
trends in the Representation of Physical Processes in Weather and Climate Models,
edited by D. Randall, J. Srinivasan, Ravi S. Nanjundiah, Parthasarathi Mukhopadhyay,
submitted. Springer, 2017.
Dr. Elizabeth Ebert:
- Ashrit, R., Sharma, K., Dube, A., Iyengar, G., Mitra, A. and Rajagopal, E.N., 2015. Verification of short-range forecasts of extreme rainfall during monsoon. Mausam, 66, 375-386.
- Sharma, K., R. Ashrit, E. Ebert, G. Iyengar, and A. Mitra, 2015: NGFS rainfall forecast verification over India using the contiguous rain area (CRA) method. Mausam, 66, 415-422.
- Dube, A., Ashrit, R., Singh, H., Arora, K., Iyengar, G. and Rajagopal, E.N., 2017. Evaluating the performance of two global ensemble forecasting systems in predicting rainfall over India during the southwest monsoons. Meteorological Applications, 24(2), pp.230-238.
- Dube, A., R. Ashrit, H. Singh, G. Iyengar and E.N. Rajagopal, 2016: Verification of medium range probabilistic rainfall forecasts over India. Pure and Applied Geophysics, 173, 2489-2510.
- Sharma, K., Ashrit, R., Bhatla, R., Mitra, A.K., Iyengar, G.R. and Rajagopal, E.N., 2017: Skill of predicting heavy rainfall over India: Improvement in recent years using UKMO global model. Pure and Applied Geophysics, 174, 4241-4250.
- Sharma, K., R. Ashrit, E. Ebert, A. Mitra, R. Bhatla, G. Iyengar, E.N. Rajagopal, 2018: Assessment of Met Office Unified Model (UM) quantitative precipitation forecasts during the Indian summer monsoon: Contiguous Rain Area (CRA) approach. J. Earth System Science, (in revision).
- Sharma, K., R. Ashrit, G. Iyengar, A. Mitra, B. Ebert and E.N. Rajagopal, 2015: Spatial verification of rainfall forecasts during Tropical Cyclone 'Phailin'. In Tropical Cyclone Activity over North Indian Ocean, eds. M. Mohapatra, B. Bandopadhyaya and L.S. Rathore, Capital Publishers and Springer, pp.45-60.
Dr. Shailendra Rai :
- Shahi, N. K., Rai, S., Sahai, A. K., & Abhilash, S. (2017). Intra-seasonal variability of the South Asian monsoon and its relationship with the Indo–Pacific sea-surface temperature in the NCEP CFSv2. International Journal of Climatology. DOI:10.1002/joc.5349.
- Shahi, N. K., Rai, S., & Pandey, D. K. (2016). Prediction of daily modes of South Asian
monsoon variability and its association with Indian and Pacific Ocean SST in the NCEP
CFS V2. Meteorology and Atmospheric Physics, 128(1), 131–142.
- Pandey, D. K., Rai, S., Sahai, A. K., Abhilash, S., & Shahi, N. K. (2016). Prediction and
error growth in the daily forecast of precipitation from the NCEP CFSv2 over the
subdivisions of Indian subcontinent. Journal of Earth System Science, 125(1), 29–45.
- Rai, S., Kucharski, F., & Molteni, F. (2016). An analysis of the impact of SST drift in the ECMWF system 3 on simulation of the Indian summer climatology. Meteorology and
Atmospheric Physics, 128(5), 629–638.
- Shahi, N. K., Rai, S., Pandey, D. K., & Mishra, N. (2015). Seasonal prediction skill of
Indian summer monsoon rainfall in ECMWF system 4 model. Climate Change, 1(4),
- Pandey, D. K., Rai, S., Shahi, N. K., & Mishra, N. (2015). Seasonal prediction of ISMR
and relationship with EL-NINO and IOD in ECMWF system 4 coupled model. Climate
Change, 1(4), 447–455.
Dr. Duane Waliser:
- Lee, S.-S., B. Wang, D. E. Waliser, J. M. Neena, and J.-Y. Lee (2015), Predictability and prediction skill of the boreal summer intra-seasonal oscillation in the Intra-seasonal Variability Hindcast Experiment, Journal of Climate, DOI 10.1007/s00382-014-2461-5.
- Neena, J. M., D. E. Waliser, and X. Jiang (2016), Model Performance Metrics and Process Diagnostics for Boreal Summer Intra-seasonal Variability, Climate Dynamics, DOI 10.1007/s00382-016-3166-8.
- Cesana, G., D. E. Waliser, X. Jiang, and J.-L. F. Li (2015), Multi-model evaluation of cloud phase transition using satellite and reanalysis data, Journal of Geophysical Research, 120, doi:10.1002/2014JD022932.
- Cesana, G., and D. E. Waliser (2016), Characterizing And Understanding Systematic Biases In The Vertical Structure Of Clouds In CMIP5/CFMIP2 Models, Geophysical Research Letters, 43, doi:10.1002/2016GL070515.
- Cesana, G., D. E. Waliser, D. Henderson, T. S. L’Ecuyer, X. Jiang, and J.-L. F. Li (2018), The Vertical Structure Of Radiative Heating Rates: A Multi-Model Evaluation Using ATrain Satellite Observations, Journal of Climate, Submitted.
- Li, J. L. F., W.-L. Lee, D. Waliser, Y.-H. Wang, J.-Y. Yu, X. Jiang, T. L'Ecuyer, Y.-C. Chen, T. Kubar, E. Fetzer, and M. Mahakur (2016), Considering the radiative effects of snow on tropical Pacific Ocean radiative heating profiles in contemporary GCMs using A-Train observations, Journal of Geophysical Research: Atmospheres, 121(4), 1621-1636.
- Kim, J., D. E. Waliser, G. V. Cesana, X. Jiang, T. L’Ecuyer, and J. M. Neena (2018), Cloud and radiative heating profiles associated with the boreal summer intra-seasonal oscillation, Climate Dynamics, 1-10.
- Kim, J., D. Waliser, X. Jiang, G. V. Cesana, T. L. L’Ecuyer, and J. M. Neena (2018), Relationship between the GCM skill in simulating northward propagation of the BSISO rainfall and the radiative heating and cloud water structure, J. Climate, In preparation.
- Jiang, X., A. Adames, M. Zhao, D. E. Waliser, and E. Maloney (2018), A Unified Moisture Mode Framework for Seasonality of the Madden-Julian Oscillation, Journal of Climate, 1175/JCLI-D-17-0671.1.
- Guan, B., and D. E. Waliser (2015), Detection of atmospheric rivers: Evaluation and application of an algorithm for global studies, Journal of Geophysical Research, 120, 12,514–512,535.
- Guan, B., and D. E. Waliser (2017), Atmospheric Rivers in 20-year Weather and Climate Simulations: A Multi-model, Global Evaluation, Journal of Geophysical Research, 122, doi:10.1002/2016JD026174.
- Waliser, D. E., and B. Guan (2017), Extreme winds and precipitation during landfall of
atmospheric rivers, Nature Geosciences, DOI: 10.1038/NGEO2894.
- Suhas, E., D. E. Waliser, R. Murtugudde, C. Zhang, M. Moncrieff, D. J. Posselt, and C. Ruf (2017), Fidelity of Observing Surface Wind and Large-Scale Modes of Tropical Variability Based On CYGNSS, RapidScat and QuikSCAT Orbital Sampling Characteristics, IEEE special edition on CYGNSS, Under Review.
Dr. Eugene Kalnay:
- Sluka, T. C., Penny S. G., Kalnay, E. and Miyoshi, T., 2016, Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation, Geophysical Research Letters, 43 (2), pp 752-759.
- Sivareddy, S., Paul, T. Sluka, M. Ravichandran, E. Kalnay, 2017, The pre-Agro ocean reanalyses may be seriously affected by the spatial coverage of moored buoys, Nature Scientific Reports 7, Article number: 46685. doi: 10.1038/srep46685.
Dr. James Kinter: (Papers Published, Presented or Submitted)
- Bombardi, R. J., K. V. Pegion, J. L. Kinter, B. A. Cash, J. M. Adams, 2016: Sub-seasonal predictability of the onset and demise of the rainy season over monsoonal regions. Frontiers Atmos. Sci. (in press).
- Bombardi, R. J., K. V. Pegion, J. L. Kinter, B. A. Cash, J. M. Adams, 2016: Sub-seasonal predictability of the onset and demise of the rainy season over monsoonal regions. Oral presentation, AMS Annual Meeting, Seattle (January 22-26, 2017).
- Bombardi, R. J., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, and J. L. Kinter III, 2014: Sensitivity of Indian Summer Monsoon Rainfall Simulation to Convection Parameterizations and Convective Trigger Functions. National Monsoon Mission Workshop, Pune, India, February 2014.
- Bombardi, R. J., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, J. L. Kinter, 2014: Improvements in the representation of the Indian Summer Monsoon in the NCEP Climate Forecast System version 2. Oral presentation, AGU Fall Meeting, San Francisco (December 15-19, 2014).
- Bombardi, R., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, J. L. Kinter III, 2015: Improvements in the representation of the Indian Summer Monsoon in the NCEP Climate Forecast System version 2. Climate Dyn. (online) doi 10.1007/s00382-015-2484-6.
- Bombardi, R. J., A. B. Tawfik. L. Marx; C.-S. Shin; E. K Schneider; P. A. Dirmeyer; J. L. Kinter III, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. J. Adv. Mod. Earth Sys., doi: 10.1002/2016MS000668.
- Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. Oral presentation, AMS Annual Meeting, New Orleans (January 10- 14, 2016).
- Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2015: Implementing a New Convective Trigger function in the NCEP Climate Forecast System version 2. Poster presentation, CLIVAR Workshop, GFDL, New Jersey (October 15-16, 2015).
- Dirmeyer, P. A., L. Chen, J. Wu, C.-S. Shin, B. Huang, B. Cash, M. G. Bosilovich, S. Mahanama, R. D. Koster, J. A. Santanello, M. B. Ek, G. Balsamo and D. M. Lawrence, 2017: Verification of land-atmosphere coupling in forecast models, reanalyses and land surface models using flux site observations. J. Hydrometeor., (in preparation).
- Dirmeyer, P. A., and S. Halder, 2017: Application of the land-atmosphere coupling paradigm to the operational Coupled Forecast System (CFSv2). J. Hydrometeor., 18, 85-108, doi: 10.1175/JHM-D-16-0064.1.
- Dirmeyer, P. A., and S. Halder, 2016: Sensitivity of surface fluxes and atmospheric boundary layer properties to initial soil moisture variations in CFSv2. Wea. Fcst., 31, 1973-1983, doi: 10.1175/WAF-D-16-0049.1.
- Dirmeyer, P. A., J. Wu, H. E. Norton, W. A. Dorigo, S. M. Quiring, T. W. Ford, J. A. Santanello Jr., M. G. Bosilovich, M. B. Ek, R. D. Koster, G. Balsamo, and D. M. Lawrence, 2016: Confronting weather and climate models with observational data from soil moisture networks over the United States. J. Hydrometeor., 17, 1049-1067, doi: 10.1175/JHM-D-15-0196.1.
- Dirmeyer, P. A. and S. Halder, 2016: Role of land surface states in simulation and prediction of monsoons in CFSv2 (invited). Workshop on “Grand challenges in monsoon modeling: Representation of processes in climate models”, International Centre for Theoretical Physics, Trieste, Italy.
- Dirmeyer, P. A., and A. G. Turner, 2015: Introduction to the CLIVAR Exchanges issue on monsoons. CLIVAR Exchanges, 66, 1-2.
- Dirmeyer, P. A., A. Tawfik, S. Halder, H. Norton, J. Wu, M. G. Bosilovich, J. A. Santanello Jr., and M. B. Ek, 2015: Confronting global land-atmosphere models with coupled process metrics. American Meteorological Society, 29th Conference on Hydrology, Phoenix, Arizona, USA, J1.2.
- Dirmeyer, P. A. and A. Tawfik, 2014: Validation of CFSv2 model behavior – land-atmosphere interactions and the hydrologic cycle. Climate Prediction S&T Digest, 38th Climate Diagnostics and Prediction Workshop Special Collection, 75-79, [available online at: https://issuu.com/climatesti/docs/38cdpwdigest].
- Dirmeyer, P. A., Z. Guo, S. Halder, H. Norton, and J. Wu, 2014: An initial assessment of coupled land-atmosphere memory in (and beyond) reanalysis. 39th Climate Diagnostics and Prediction Workshop, St. Louis, Missouri, USA.
- Halder, S., P. A. Dirmeyer, L. Marx and J. L. Kinter III, 2017: Assessment of the impact of land surface initialization and land-atmosphere coupling on the prediction of the Indian summer monsoon in the CFSv2 model. Front. Env. Sci., (in preparation).
- Halder, S., and P. A. Dirmeyer, 2016: Relation of Eurasian snow cover and Indian summer monsoon rainfall: Importance of the delayed hydrological effect. J. Climate, 30, 1273-1289, doi: 10.1175/JCLI-D-16-0033.1.
- Halder, S., P. A. Dirmeyer, L. Marx, and J. L. Kinter III, 2016: J17.3 Impact of land surface initialization on seasonal forecasts of the extremes of Indian summer monsoon. American Meteorological Society 30th Conference Hydrology, New Orleans, Louisiana, USA, J17.3.
- Halder, S., S. K. Saha, P. A. Dirmeyer, T. N. Chase, and B. N. Goswami, 2016: Investigating the impact of land-use land-cover change on Indian summer monsoon daily rainfall and temperature during 1951-2005 using a regional climate model., Hydrol. Earth Sys. Sci., 20, 1765-1784, doi: 10.5194/hessd-12-6575-2015.
- Halder, S., P. A. Dirmeyer, S. K. Saha, 2015: Uncertainty in the mean and variability of Indian summer monsoon due to land-atmosphere feedback in RegCM4. J. Geophys. Res., 120, 9437- 9458, doi: 10.1002/2015JD023101.
- Halder, S., P. Dirmeyer, B. Cash and J. Adams, 2015: Potential Regions of Strong Land atmosphere Coupling Based on the S2S Project Database: Implications for the Indian Summer Monsoon Rainfall Variability. AGU Fall Meeting, San Francisco, CA, USA, A33M-0405.
- Halder, S., and P. A. Dirmeyer, 2015: Relation of Eurasian snow cover and Indian monsoon rainfall: Delayed hydrological effect. 40th Climate Diagnostics and Prediction Workshop, Denver, Colorado, USA.
- Halder, S., P. A. Dirmeyer, L. Marx, and J. L. Kinter III, 2015: Predictability of the South Asian monsoon in the CFSv2 Operational Forecast Model. American Meteorological Society, Special Symposium on the South Asia Monsoon, Phoenix, Arizona, USA, 878.
- Huang, B. and Co-authors, 2015: Multiple analysis ensemble initialization of ocean on seasonal prediction of ENSO and Asian monsoon. Invited presentation, Shukla Symposium on Predictability in the Midst of Chaos. April 23-24, 2015, Rockville, MD.
- Huang, B., C.-S. Shin, J. Shukla, L. Marx, M. Balmaseda, S. Halder, P. A. Dirmeyer, and J. L. Kinter III, 2016: Reforecasting the ENSO events in the past fifty-seven years (1958-2014). AGU Fall meeting, December 12-16, 2016, San Francisco, CA.
- Huang, B., C.-S. Shin; J. Shukla; L. Marx; M. Balmaseda; S. Halder; P. A. Dirmeyer, and J. L. Kinter III, 2017: Reforecasting the ENSO events in the past fifty-seven years (1958-2014). J. Climate, (in press) doi:10.1175/JCLI-D-16-0642.1.
- Kinter, J. L. III, P. A. Dirmeyer, B. Huang, E. K. Schneider, R. Bombardi, S. Halder, C. S. Shin, R. Shukla, and B. Singh, 2015: Promises and Prospects for Predicting the South Asian Monsoon. American Meteorological Society, Special Symposium on the South Asia Monsoon, Phoenix, Arizona, USA, 3.4.
- Shin, C.-S. and B. Huang, 2014: Evaluating the CFSv2 Simulations for the Phase-locked
Intraseasonal Variation of the Asian Summer Monsoon. 39th Climate Diag. Pred. Workshop, St. Louis, MO, October 2014.
- Shin, C.-S. and B. Huang, 2015: Evaluating the CFSv2 Simulations for the Phase-locked
Intraseasonal Variation of the Asian Summer Monsoon. 95th Annual AMS Meeting, Phoenix, AZ, January 2015.
- Shin, C.-S. and B. Huang, 2016: Slow and fast annual cycles of the Asian Summer Monsoon in the NCEP CFSv2. Climate Dyn., 47, 529-553, DOI:10.1007/s00382-015-2854-0.
- 367. Shin, C.-S. and B. Huang, 2017: A spurious warming trend in the NMME equatorial Pacific SST hindcasts. Climate Dyn., (online first), doi:10.1007/s00382-017-3777-8.
- Shin, C.-S., B. Huang, J. Zhu, L. Marx, J. L. Kinter III, and J. Shukla, 2015a: Enhanced seasonal predictability of the Asian Summer Monsoon rainfall following an El Niño event. Poster presentation, El Niño 2015 Conference, Nov. 17-18, 2015, New York, NY.
- Shin, C.-S., B. Huang, J. Zhu., L. Marx, J. L. Kinter III, and J. Shukla, 2015b: Asian summer monsoon rainfall associated with ENSO and its predictability. Poster presentation, 2015 AGU Fall Meeting, Dec. 14-18, 2015, San Francisco, CA.
- Shin, C.-S., B. Huang, J. Zhu., L. Marx, and J. L. Kinter III, 2017 : Enhanced seasonal
predictability of the Asian summer monsoon rainfall following ENSO events in NCEP CFSv2 hindcasts. Climate Dyn. (submitted).
- Shukla, J., B., Huang, and C.-S. Shin, 2016: Reforecasting the 1972-73 ENSO Event and the Monsoon Drought Over India. 2016 AGU Fall meeting, December 12-16, 2016, San Francisco, CA.
- Shukla, R. P. and B. Huang, 2015a: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Climate Dyn. DOI: 10.1007/s00382-015-2808-6.
- Shukla, R. P. and B. Huang, 2015b: Interannual variability of the Indian summer monsoon associated with the air-sea feedback in the northern Indian Ocean. Climate Dyn. DOI: 10.1007/s00382-015-2687-x.
- Shukla, R. P. and B. Huang, 2015c: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Poster presentation, 40th Climate Diag. Pred. Workshop, Denver, Colorado, USA, 26-29 October 2015.
- Shukla, R. P. and B. Huang, 2016: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Oral presentation, AMS Annual Meeting, 10–14 January, 2016, New Orleans, LA, USA.
- Shukla, R. P., B. Huang, L. Marx, J. L. Kinter and Shin, C.-S (2017a) Predictability and
Prediction of Indian summer Monsoon by CFSv2: Implication of the Initial Shock Effect. Climate Dyn. DOI: 10.1007/s00382-017-3594-0.
- Shukla, R. P., B. Huang, L. Marx, J. L. Kinter and Shin, C.-S (2017b) Predictability of Indian Summer Monsoon by CFSv2: Implication of the Initial Shock Effect. 97th AMS Annual Meeting, 22–26 January 2017, Seattle, WA.
- Xue, Y. and P. A. Dirmeyer, 2015: Land-atmosphere interactions in monsoon regimes and future prospects for enhancing prediction. CLIVAR Exchanges, 66, 28-33
Prof. Dev Niyogi : (Research papers published)
- Osuri, K.K., Nadimpalli, R., Mohanty, U.C., Chen, F., Rajeevan, M. and Niyogi, D.,
- Improved prediction of severe thunderstorms over the Indian Monsoon region
using high-resolution soil moisture and temperature initialization. Nature Scientific
- Nayak, H.P., Osuri, K.K., Sinha, P., Nadimpalli, R., Mohanty, U.C., Chen, F., Rajeevan,
- and Niyogi, D., 2018. High-resolution gridded soil moisture and soil temperature
datasets for the Indian monsoon region. Nature Scientific Data, Volume 5, 180264.
- Zhang, X., Obringer, R., Wei, C., Chen, N. and Niyogi, D., 2017. Droughts in India from 1981 to 2013 and Implications to Wheat Production. Nature Scientific Reports, 7,
- Liu, Xing, Fei Chen, Michael Barlage, Guangsheng Zhou, and Dev Niyogi. Noah‐MPCrop: Introducing Dynamic Crop Growth in the Noah‐MP Land‐Surface Model. Journal
of Geophysical Research: Atmospheres (2016).
- Devanand A., S. Ghosh, S Paul, S Karmakar, D. Niyogi, Multi-ensemble regional
simulation of Indian monsoon during contrasting rainfall years: role of convective
schemes and nested domain, Cimate Dynamics, Climate Dynamics, 1-21 (published
online August 2017).
- Singh, J., Vittal, H., Karmakar, S., Ghosh, S. and Niyogi, D., 2016. Urbanization causes
nonstationarity in Indian Summer Monsoon Rainfall extremes. Geophysical Research
- Mallya, G., Mishra, V., Niyogi, D., Tripathi, S. and Govindaraju, R.S., 2016. Trends and
variability of droughts over the Indian monsoon region. Weather and Climate Extremes.
- Ila Chawla, Osuri K.K., P. P. Mujumdar, D. Niyogi, 2017 Assessment of the Weather
Research and Forecasting (WRF) Model for Extreme Rainfall Event Simulations in the
Upper Ganga Basin, Hydrology and Earth System Science, https://doi.org/10.5194/hess-
- Nayak, H. P., Sinha, P., Satyanarayana, A. N. V., Bhattacharya, A., & Mohanty, U. C.
- Performance Evaluation of High-Resolution Land Data Assimilation System
(HRLDAS) Over Indian Region, Pure Appl. Geophys. https://doi.org/:10.1007/s00024-
- Krishna K Osuri, Raghu Nadimpalli, Ankur Kumar, H P Nayak, U C Mohanty, A K Das, M Rajeevan, and D Niyogi, 2019. Understanding role of Antecedent Land conditions for
Simulation of Monsoon Depressions over India. (under submission).
- Niyogi, D., Subramanian, S. and Osuri, K.K., 2016. The Role of Land Surface Processes
on Tropical Cyclones: Introduction to Land Surface Models. In Advanced Numerical
Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction (pp. 221-
246). Springer Netherlands.
- Niyogi, D., Osuri, K.K., Subramanian, S. and Mohanty, U.C., 2016. The Role of Land
Surface Processes on Extreme Weather Events: Land Data Assimilation
System. Advanced Numerical Modeling and Data Assimilation Techniques for Tropical
Cyclone Predictions, p.247.
- Niyogi, Dev, Subashini Subramanian, U. C. Mohanty, C. M. Kishtawal, Subimal Ghosh,
- S. Nair, M. Ek, and M. Rajeevan, 2018. The impact of land cover and land use
change on the Indian monsoon region hydroclimate. In Land-atmospheric research
applications in South and Southeast Asia, pp. 553-575. Springer.
- Niyogi, D. 2019. Land Surface Processes. In Current Trends in the Representation of
Physical Processes in Weather and Climate Models (pp. 349-370). Springer, Singapore
Dr. M. S. Madhusoodanan
- Santosh Kumar Muriki, Bhardwaj S, Sathish Kumar G, and Madhusoodanan. M.S
“Diurnal variability of summer monsoon rainfall in global forecast models”,
TROPMET-2015, National Symposium on Weather & Climate Extremes, 15-18 Feb
2015, Punjab University, Chandigarh, India.
- Santosh Kumar Muriki, Bhardwaj S., Sathish Kumar G and Madhusoodanan M S
“Characteristic of hourly rainfall in India”, Annual Monsoon-2014 Workshop and
National Conference on Vagaries of Monsoon" on 2-3 March, 2015 at IITM Pune,
Prof. Sutapa Chaudhuri :
- Chaudhuri S., S. Goswami, Debanjana Das and A. Middey (2014) Metaheuristicant colony optimization technique to forecast the amount of summer monsoon rainfall: skill comparison with Markov chain model, Theor Appl Climatol (Springer), 116, 3-4, 585-595 (IF: 2.640) (CI : 6)
- Chaudhuri S. and J. Pal (2014) Cloud -Aerosol coupled index in estimating the break phase of Indian Summer Monsoon, Theor Appl Climatol (Springer), 118, 3, 447- 464 (IF: 2.640)
- Chaudhuri S. and J. Pal (2014) The influence of El Niño on the Indian summer monsoon rainfall anomaly: A diagnostic study of the '82/83 and '97/98 events, Meteor. Atmos. Phys.(Springer), 124, 3-4, 183-194 (IF: 1.159) (CI : 1)
- Pal J., S. Chaudhuri*, S. Guhathakurta (2015) The influence of galactic cosmic ray on all India annual rainfall and temperature, Adv. Space Res. (Elsevier), 55, 4, 1158-1167 (IF: 1.463) (CI : 1)
- Chaudhuri S, D. Das, S. Goswami and S.K. Das (2016) Long-range forecast of all India Summer Monsoon Rainfall using adaptive neuro-fuzzy inference system: skill comparison with CFSv2 model simulation and real – time forecast for the year 2015, Climate Dyn. (Springer), 47, 9, 3319 – 3333 (IF: 4.708)
- Pal J, S. Chaudhuri*, S. Mukherjee and A. Roy Chowdhury (2017) Probing for suitable climatology to estimate the predictability of Monsoon Onset over Kerala (MOK), India, Theor. Appl. Climatol. (Springer), 130, Issue 1–2, 59 – 76 (IF: 2.640)
- Pal J., S. Chaudhuri*, A. Roy Chowdhury and D. Basu (2017) An Investigation on the influence of Southern Annular Mode on Indian Summer Monsoon Rainfall, Meteorol Appl, 24: 172–179 (IF: 1.411)
- Mondal P, S. Chaudhuri*, J. Pal, F. Khan, A. Roy Chowdhury, I. Sarkar (2017) Variability in the onset of summer monsoon over Gangetic West Bengal, India: An investigation with climatology of tropopause characteristics, Int. J. Climatol., 37 , 412 – 428 (IF:3.760)