Year |
Citation |
Score |
2020 |
Lavers DA, Ingleby NB, Subramanian AC, Richardson DS, Ralph FM, Doyle JD, Reynolds CA, Torn RD, Rodwell MJ, Tallapragada V, Pappenberger F. Forecast Errors And Uncertainties In Atmospheric Rivers Weather and Forecasting. 35: 1447-1458. DOI: 10.1175/Waf-D-20-0049.1 |
0.458 |
|
2020 |
Beal LM, Vialard J, Roxy MK, Li J, Andres M, Annamalai H, Feng M, Han W, Hood R, Lee T, Lengaigne M, Lumpkin R, Masumoto Y, McPhaden MJ, Ravichandran M, ... ... Subramanian AC, et al. A roadmap to IndOOS-2: Better observations of the rapidly-warming Indian Ocean Bulletin of the American Meteorological Society. 1-50. DOI: 10.1175/Bams-D-19-0209.1 |
0.522 |
|
2020 |
Ralph FM, Cannon F, Tallapragada V, Davis CA, Doyle JD, Pappenberger F, Subramanian A, Wilson AM, Lavers DA, Reynolds CA, Haase JS, Centurioni L, Ingleby B, Rutz JJ, Cordeira JM, et al. West Coast Forecast Challenges and Development of Atmospheric River Reconnaissance Bulletin of the American Meteorological Society. 101. DOI: 10.1175/Bams-D-19-0183.1 |
0.36 |
|
2020 |
Guirguis K, Gershunov A, DeFlorio MJ, Shulgina T, Monache LD, Subramanian AC, Corringham TW, Ralph FM. Four Atmospheric Circulation Regimes Over the North Pacific and Their Relationship to California Precipitation on Daily to Seasonal Timescales Geophysical Research Letters. 47. DOI: 10.1029/2020Gl087609 |
0.501 |
|
2020 |
Gagne DJ, Christensen HM, Subramanian AC, Monahan AH. Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model Journal of Advances in Modeling Earth Systems. 12. DOI: 10.1029/2019Ms001896 |
0.388 |
|
2020 |
Eliashiv J, Subramanian AC, Miller AJ. A Reliability Budget Analysis of CESM‐DART Journal of Advances in Modeling Earth Systems. 12. DOI: 10.1029/2019Ms001678 |
0.446 |
|
2020 |
Jacox MG, Alexander MA, Siedlecki S, Chen K, Kwon Y, Brodie S, Ortiz I, Tommasi D, Widlansky MJ, Barrie D, Capotondi A, Cheng W, Di Lorenzo E, Edwards C, Fiechter J, ... ... Subramanian A, et al. Seasonal-to-interannual prediction of North American coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments Progress in Oceanography. 183: 102307. DOI: 10.1016/J.Pocean.2020.102307 |
0.607 |
|
2020 |
Gopalakrishnan G, Subramanian AC, Miller AJ, Seo H, Sengupta D. Estimation and prediction of the upper ocean circulation in the Bay of Bengal Deep Sea Research Part Ii: Topical Studies in Oceanography. 172: 104721. DOI: 10.1016/J.Dsr2.2019.104721 |
0.727 |
|
2019 |
Penny SG, Akella S, Balmaseda MA, Browne P, Carton JA, Chevallier M, Counillon F, Domingues C, Frolov S, Heimbach P, Hogan P, Hoteit I, Iovino D, Laloyaux P, Martin MJ, ... ... Subramanian A, et al. Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction. Frontiers in Marine Science. 6: 391. PMID 31534949 DOI: 10.3389/Fmars.2019.00391 |
0.432 |
|
2019 |
Capotondi A, Sardeshmukh PD, Di Lorenzo E, Subramanian AC, Miller AJ. Predictability of US West Coast Ocean Temperatures is not solely due to ENSO. Scientific Reports. 9: 10993. PMID 31358814 DOI: 10.1038/S41598-019-47400-4 |
0.725 |
|
2019 |
Sun R, Subramanian AC, Miller AJ, Mazloff MR, Hoteit I, Cornuelle BD. SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea Geoscientific Model Development. 12: 4221-4244. DOI: 10.5194/Gmd-12-4221-2019 |
0.613 |
|
2019 |
Capotondi A, Jacox M, Bowler C, Kavanaugh M, Lehodey P, Barrie D, Brodie S, Chaffron S, Cheng W, Dias DF, Eveillard D, Guidi L, Iudicone D, Lovenduski NS, Nye JA, ... ... Subramanian A, et al. Observational Needs Supporting Marine Ecosystems Modeling and Forecasting: From the Global Ocean to Regional and Coastal Systems Frontiers in Marine Science. 6. DOI: 10.3389/Fmars.2019.00623 |
0.722 |
|
2019 |
Subramanian AC, Balmaseda MA, Centurioni L, Chattopadhyay R, Cornuelle BD, DeMott C, Flatau M, Fujii Y, Giglio D, Gille ST, Hamill TM, Hendon H, Hoteit I, Kumar A, Lee J, et al. Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability Frontiers in Marine Science. 6. DOI: 10.3389/Fmars.2019.00427 |
0.523 |
|
2019 |
Bôas ABV, Ardhuin F, Ayet A, Bourassa MA, Brandt P, Chapron B, Cornuelle BD, Farrar JT, Fewings MR, Fox-Kemper B, Gille ST, Gommenginger C, Heimbach P, Hell MC, Li Q, ... ... Subramanian AC, et al. Integrated Observations of Global Surface Winds, Currents, and Waves: Requirements and Challenges for the Next Decade Frontiers in Marine Science. 6. DOI: 10.3389/Fmars.2019.00425 |
0.379 |
|
2019 |
Hermes JC, Masumoto Y, Beal L, Roxy MK, Vialard J, Andres M, Annamalai H, Behera S, D'Adamo N, Doi T, Feng M, Han W, Hardman-Mountford N, Hendon H, Hood R, ... ... Subramanian AC, et al. A Sustained Ocean Observing System in the Indian Ocean for Climate Related Scientific Knowledge and Societal Needs Frontiers in Marine Science. 6: 355. DOI: 10.3389/Fmars.2019.00355 |
0.488 |
|
2019 |
Haustein K, Otto FEL, Venema V, Jacobs P, Cowtan K, Hausfather Z, Way RG, White B, Subramanian A, Schurer AP. A Limited Role for Unforced Internal Variability in Twentieth-Century Warming Journal of Climate. 32: 4893-4917. DOI: 10.1175/Jcli-D-18-0555.1 |
0.472 |
|
2019 |
Eddebbar YA, Rodgers KB, Long MC, Subramanian AC, Xie S, Keeling RF. El Niño–Like Physical and Biogeochemical Ocean Response to Tropical Eruptions Journal of Climate. 32: 2627-2649. DOI: 10.1175/Jcli-D-18-0458.1 |
0.507 |
|
2019 |
Subramanian A, Juricke S, Dueben P, Palmer T. A Stochastic Representation of Subgrid Uncertainty for Dynamical Core Development Bulletin of the American Meteorological Society. 100: 1091-1101. DOI: 10.1175/Bams-D-17-0040.1 |
0.417 |
|
2019 |
DeFlorio MJ, Waliser DE, Ralph FM, Guan B, Goodman A, Gibson PB, Asharaf S, Monache LD, Zhang Z, Subramanian AC, Vitart F, Lin H, Kumar A. Experimental Subseasonal‐to‐Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States Journal of Geophysical Research. 124: 11242-11265. DOI: 10.1029/2019Jd031200 |
0.342 |
|
2019 |
Rodrigues RR, Subramanian A, Zanna L, Berner J. ENSO Bimodality and Extremes Geophysical Research Letters. 46: 4883-4893. DOI: 10.1029/2019Gl082270 |
0.47 |
|
2019 |
Cordero-Quirós N, Miller AJ, Subramanian AC, Luo JY, Capotondi A. Composite physical–biological El Niño and La Niña conditions in the California Current System in CESM1-POP2-BEC Ocean Modelling. 142: 101439. DOI: 10.1016/J.Ocemod.2019.101439 |
0.617 |
|
2019 |
Seo H, Subramanian AC, Song H, Chowdary JS. Coupled effects of ocean current on wind stress in the Bay of Bengal: Eddy energetics and upper ocean stratification Deep Sea Research Part Ii: Topical Studies in Oceanography. 168: 104617. DOI: 10.1016/J.Dsr2.2019.07.005 |
0.629 |
|
2019 |
Eliashiv J, Subramanian AC, Miller AJ. Tropical climate variability in the Community Earth System Model: Data Assimilation Research Testbed Climate Dynamics. 54: 793-806. DOI: 10.1007/S00382-019-05030-6 |
0.626 |
|
2018 |
Shields CA, Rutz JJ, Leung L, Ralph FM, Wehner M, Kawzenuk B, Lora JM, McClenny E, Osborne T, Payne AE, Ullrich P, Gershunov A, Goldenson N, Guan B, Qian Y, ... ... Subramanian AC, et al. Atmospheric River Tracking Method Intercomparison Project(ARTMIP): Project Goals and Experimental Design Geoscientific Model Development. 11: 2455-2474. DOI: 10.5194/Gmd-11-2455-2018 |
0.336 |
|
2018 |
Hatfield S, Subramanian A, Palmer T, Düben P. Improving Weather Forecast Skill through Reduced-Precision Data Assimilation Monthly Weather Review. 146: 49-62. DOI: 10.1175/Mwr-D-17-0132.1 |
0.383 |
|
2018 |
Leung K, Subramanian AC, Shen SSP. Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin Advances in Data Science and Adaptive Analysis. 10: 1850010. DOI: 10.1142/S2424922X18500109 |
0.333 |
|
2018 |
Zhan P, Gopalakrishnan G, Subramanian AC, Guo D, Hoteit I. Sensitivity Studies of the Red Sea Eddies Using Adjoint Method Journal of Geophysical Research. 123: 8329-8345. DOI: 10.1029/2018Jc014531 |
0.359 |
|
2018 |
Guirguis K, Gershunov A, Clemesha RES, Shulgina T, Subramanian AC, Ralph FM. Circulation Drivers of Atmospheric Rivers at the North American West Coast Geophysical Research Letters. 45. DOI: 10.1029/2018Gl079249 |
0.412 |
|
2018 |
Dias DF, Subramanian A, Zanna L, Miller AJ. Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study Climate Dynamics. 52: 3183-3201. DOI: 10.1007/S00382-018-4323-Z |
0.668 |
|
2017 |
Davini P, Hardenberg Jv, Corti S, Christensen HM, Juricke S, Subramanian A, Watson PAG, Weisheimer A, Palmer TN. Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model Geoscientific Model Development. 10: 1383-1402. DOI: 10.5194/Gmd-10-1383-2017 |
0.488 |
|
2017 |
Ummenhofer C, Subramanian A, Legg S. Maintaining Momentum in Climate Model Development Eos. DOI: 10.1029/2017Eo086501 |
0.43 |
|
2017 |
Huddart B, Subramanian A, Zanna L, Palmer T. Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model Climate Dynamics. 49: 1833-1845. DOI: 10.1007/S00382-016-3375-1 |
0.545 |
|
2017 |
Leutbecher M, Lock S, Ollinaho P, Lang STK, Balsamo G, Bechtold P, Bonavita M, Christensen HM, Diamantakis M, Dutra E, English S, Fisher M, Forbes RM, Goddard J, Haiden T, ... ... Subramanian A, et al. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision Quarterly Journal of the Royal Meteorological Society. 143: 2315-2339. DOI: 10.1002/Qj.3094 |
0.414 |
|
2017 |
Subramanian A, Weisheimer A, Palmer T, Vitart F, Bechtold P. Impact of stochastic physics on tropical precipitation in the coupled ECMWF model Quarterly Journal of the Royal Meteorological Society. 143: 852-865. DOI: 10.1002/Qj.2970 |
0.529 |
|
2017 |
Giglio D, Gille ST, Subramanian AC, Nguyen S. The role of wind gusts in upper ocean diurnal variability Journal of Geophysical Research. 122: 7751-7764. DOI: 10.1002/2017Jc012794 |
0.491 |
|
2017 |
Düben PD, Subramanian A, Dawson A, Palmer TN. A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model Journal of Advances in Modeling Earth Systems. 9: 566-584. DOI: 10.1002/2016Ms000862 |
0.391 |
|
2017 |
Subramanian AC, Palmer TN. Ensemble superparameterization versus stochastic parameterization: A comparison of model uncertainty representation in tropical weather prediction Journal of Advances in Modeling Earth Systems. 9: 1231-1250. DOI: 10.1002/2016Ms000857 |
0.53 |
|
2016 |
Davini P, Hardenberg Jv, Corti S, Christensen HM, Juricke S, Subramanian A, Watson PAG, Weisheimer A, Palmer TN. Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations Geoscientific Model Development Discussions. 10: 1-29. DOI: 10.5194/Gmd-2016-115 |
0.474 |
|
2016 |
Leung K, Velado M, Subramanian A, Zhang GJ, Somerville RCJ, Shen SSP. Simulation of High-Resolution Precipitable Water Data by a Stochastic Model with a Random Trigger Advances in Data Science and Adaptive Analysis. 8: 1650006. DOI: 10.1142/S2424922X16500066 |
0.433 |
|
2016 |
Zhan P, Subramanian AC, Yao F, Kartadikaria AR, Guo D, Hoteit I. The eddy kinetic energy budget in the Red Sea Journal of Geophysical Research: Oceans. 121: 4732-4747. DOI: 10.1002/2015Jc011589 |
0.404 |
|
2015 |
Miller AJ, Song H, Subramanian AC. The physical oceanographic environment during the CCE-LTER years: Changes in climate and concepts Deep-Sea Research Part Ii: Topical Studies in Oceanography. 112: 6-17. DOI: 10.1016/J.Dsr2.2014.01.003 |
0.691 |
|
2014 |
Seo H, Subramanian AC, Miller AJ, Cavanaugh NR. Coupled impacts of the diurnal cycle of sea surface temperature on the Madden-Julian oscillation Journal of Climate. 27: 8422-8443. DOI: 10.1175/Jcli-D-14-00141.1 |
0.747 |
|
2014 |
Cavanaugh NR, Allen T, Subramanian A, Mapes B, Seo H, Miller AJ. The skill of atmospheric linear inverse models in hindcasting the Madden-Julian Oscillation Climate Dynamics. DOI: 10.1007/S00382-014-2181-X |
0.735 |
|
2014 |
Subramanian A, Jochum M, Miller AJ, Neale R, Seo H, Waliser D, Murtugudde R. The MJO and global warming: A study in CCSM4 Climate Dynamics. 42: 2019-2031. DOI: 10.1007/S00382-013-1846-1 |
0.679 |
|
2014 |
Subramanian AC, Zhang GJ. Diagnosing MJO hindcast biases in NCAR CAM3 using nudging during the DYNAMO field campaign Journal of Geophysical Research: Atmospheres. 119: 7231-7253. DOI: 10.1002/2013Jd021370 |
0.476 |
|
2014 |
Zhan P, Subramanian AC, Yao F, Hoteit I. Eddies in the Red Sea: A statistical and dynamical study Journal of Geophysical Research: Oceans. 119: 3909-3925. DOI: 10.1002/2013Jc009563 |
0.475 |
|
2013 |
Subramanian AC, Miller AJ, Cornuelle BD, Di Lorenzo E, Weller RA, Straneo F. A data assimilative perspective of oceanic mesoscale eddy evolution during VOCALS-REx Atmospheric Chemistry and Physics. 13: 3329-3344. DOI: 10.5194/Acp-13-3329-2013 |
0.713 |
|
2013 |
Song H, Hoteit I, Cornuelle BD, Luo X, Subramanian AC. An adjoint-based adaptive ensemble kalman filter Monthly Weather Review. 141: 3343-3359. DOI: 10.1175/Mwr-D-12-00244.1 |
0.524 |
|
2012 |
Subramanian AC, Hoteit I, Cornuelle B, Miller AJ, Song H. Linear versus nonlinear filtering with scale-selective corrections for balanced dynamics in a simple atmospheric model Journal of the Atmospheric Sciences. 69: 3405-3419. DOI: 10.1175/Jas-D-11-0332.1 |
0.623 |
|
2011 |
Subramanian AC, Jochum M, Miller AJ, Murtugudde R, Neale RB, Waliser DE. The Madden-Julian oscillation in CCSM4 Journal of Climate. 24: 6261-6282. DOI: 10.1175/Jcli-D-11-00031.1 |
0.643 |
|
2010 |
Song H, Hoteit I, Cornuelle BD, Subramanian AC. An adaptive approach to mitigate background covariance limitations in the ensemble Kalman filter Monthly Weather Review. 138: 2825-2845. DOI: 10.1175/2010Mwr2871.1 |
0.51 |
|
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