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D. Giglio, J. Sala, J. Gilson, L. Hoffman, B. Kawzenuk, ..., Aneesh C. Subramanian, et al. (2026). Adaptive Sampling of the Upper Ocean by Autonomous Floats during Atmospheric River precipitation. Geophysical Research Letters. Sub judice.

J. Wu, P. Perezhogin, D. J. Gagne, B. G. Reichl, Aneesh C. Subramanian, et al. (2026). Data-Driven Probabilistic Air-Sea Flux Parameterization. Geophysical Research Letters. Sub judice.

S. Sanikommu, Y. Wang, M. El Gharamti, M. R. Mazloff, A. Verdy, ..., Aneesh C. Subramanian, et al. (2026). Evaluating a Hybrid Ensemble Data Assimilative coupled Physical-Biogeochemical Ecosystem Model of the Red Sea. Geoscientific Model Development. Sub judice.

Z. Yin, Aneesh C. Subramanian, R. Datta, A. R. Herrington, D. Du, et al. (2026). Identifying Energy Balance Drivers of Greenland Ice Sheet Surface Melt Using Causal Discovery. Geophysical Research Letters. Sub judice.

T-Y Hsu, M. R. Mazloff, S. T. Gille, H. Lin, K. A. Peterson, ..., Aneesh C. Subramanian, et al. (2026). Impacts of Air-sea Coupling on Systematic Errors in Medium-Range Winter Forecasts over the North Pacific and North Atlantic. Weather and Climate Dynamics. Sub judice.

D. L. Suhas, W. Han, T. Shinoda, R. Sun, Aneesh C. Subramanian, et al. (2026). Marine Heatwaves in the Arabian Sea: Drivers and Impacts on Atmospheric Circulation and Extreme Precipitation. Nature Communications. Sub judice.

I. Hoteit, Y. Abualnaja, S. Afzal, C. Aman, C. Antony, ..., Aneesh C. Subramanian, et al. (2026). New Climate Change Center of Saudi Arabia: Advancing Understanding and Prediction for the Arabian Peninsula Climate. Earth’s Future. Sub judice.

I. W. Davis, Aneesh C. Subramanian, T. B. Higgins, A. Sengupta, L. Delle Monache (2026). Physics-based vs AI Weather Prediction Models: A Comparative Performance Assessment of Atmospheric River Prediction. Geophysical Research Letters. Sub judice.

S. Ali, O. Faruque, Y. Huang, Md. Osman Gani, Aneesh C. Subramanian, et al. (2026). Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. International Conference on Machine Learning and Applications (ICMLA). Sub judice.

Y.-J. Lin, Aneesh C. Subramanian, K. B. Karnauskas, C. A. DeMott, J. Sprintall, et al. (2026). Salinity-Driven Barrier Layer Dynamics in the Equatorial Pacific: An Observational and CMIP6 Analysis. Journal of Climate. Sub judice.

R. Sun, Aneesh C. Subramanian, B. Wolding, T.-Y. Hsu, M. R. Mazloff, et al. (2026). Sensitivity of the 2023 Asian Summer Monsoon water vapor transport to Arabian Sea surface temperature anomalies. Journal of Geophysical Research: Atmospheres. Sub judice.

L. Howard, Aneesh C. Subramanian, J. R. Nadimpalli, D. Giglio, I. Hoteit (2026). Skillful Subseasonal Marine Heat Wave Forecasts using a Neural Network. Geophysical Research Letters. Sub judice.

J. N. Raju, S. Sanikommu, Aneesh C. Subramanian, D. Giglio, I. Hoteit (2026). Subsurface Marine Heat Waves and Coral Bleaching in the Southern Red Sea Linked to Remote Forcing. Nature Communications. Sub judice.

T-Y Hsu, M. Mazloff, M. Zheng, S. Gille, R. Sun, ..., Aneesh C. Subramanian, et al. (2026). The Modification of Air-Sea Fluxes by Quasi-Periodic Sea Surface Temperature Structures in a Cross-Gradient Scenario. Journal of the Atmospheric Sciences. Sub judice.

Elizabeth G Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, ..., Aneesh Subramanian, et al. (2025). Building Machine Learning Challenges for Anomaly Detection in Science. arXiv.

Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, Md Osman Gani (2025). Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift. arXiv.

Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, Md Osman Gani (2025). Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, Md Osman Gani (2025). Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. arXiv.

Gerald A Meehl, Christine A Shields, Brendan M Myers, McKenzie L Larson, Dale Durran, ..., Aneesh Subramanian, et al. (2025). Earth, Wind, and Fire: Are Boulder’s Extreme Downslope Winds Changing?. Bulletin of the American Meteorological Society.

Michael MacFerrin, Edward Boyda, Kimberly Young, Josephine Namayanja, Aneesh Subramanian, et al. (2025). Engaging K-12 Learners in Data Annotation for AI Climate Models. Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2.

Yixin Wang, Mohamad El Gharamti, Matthew R Mazloff, Ariane Verdy, Naila Raboudi, ..., Aneesh Subramanian, et al. (2025). Evaluating a Hybrid Ensemble Data Assimilative coupled Physical-Biogeochemical Ecosystem Model of the Red Sea.

Paula Lorenzo Sánchez, Matt Newman, Antonio Navarra, John Albers, Aneesh Subramanian (2025). Koopman operator theory for enhanced Pacific SST forecasting.

Ibrahim Hoteit, Yasser Abualnaja, Shehzad Afzal, Caspar Aman, Charls Antony, ..., Aneesh Subramanian, et al. (2025). New Climate Change Center of Saudi Arabia: Advancing Understanding and Prediction for the Arabian Peninsula Climate. Earth’s Future.

Aneesh Subramanian, Devon Dunmire, Emam Hossain, Md Osman Gani, Alison Banwell, et al. (2025). The fate of Greenland Ice Sheet supraglacial lakes in a warm and cool year.

David A Lavers, Anna M Wilson, F Martin Ralph, Vijay Tallapragada, Florian Pappenberger, ..., Aneesh Subramanian, et al. (2024). Advancing Atmospheric River Science and Inspiring Future Development of the Atmospheric River Reconnaissance Program. Bulletin of the American Meteorological Society.

Rui Sun, Aneesh Subramanian, Matthew R Mazloff, Bruce Cornuelle, Ganesh Gopalakrishnan, et al. (2024). Enhanced Regional Ocean Ensemble Data Assimilation Through Atmospheric Coupling in the SKRIPS Model.

Devon Dunmire, Aneesh Subramanian, Emam Hossain, Md Gani, Alison Banwell, et al. (2024). Greenland Ice Sheet wide supraglacial lake evolution and dynamics: insights from the 2018 and 2019 melt seasons.

Emam Hossain, Md Osman Gani, Devon Dunmire, Aneesh Subramanian, Hammad Younas (2024). Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet. arXiv.

Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian, Shashi Shekhar (2024). Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems.

Lucas Howard, Aneesh Subramanian, Ibrahim Hoteit (2023). A Machine Learning Augmented Data Assimilation Method for High-Resolution Observation.

Boujemaa Ait-El-Fquih, Aneesh C. Subramanian, Ibrahim Hoteit (2023). A variational Bayesian approach for ensemble filtering of stochastically parametrized systems. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY.

Danni Du, Aneesh C. Subramanian, Weiqing Han, Ho-Hsuan Wei, Beena Balan Sarojini, et al. (2023). Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS.

Christopher M. Castellano, Michael J. DeFlorio, Peter B. Gibson, Luca Delle Monache, Julie F. Kalansky, ..., Aneesh C. Subramanian, et al. (2023). Development of a Statistical Subseasonal Forecast Tool to Predict California Atmospheric Rivers and Precipitation Based on MJO and QBO Activity. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.

Yassir A Eddebbar, Daniel Bridger Whitt, Ariane Verdy, Matthew R Mazloff, Aneesh Subramanian, et al. (2023). Eddy-Mediated Mixing of Oxygen in the Equatorial Pacific.

Carolyn A. Reynolds, Rebecca E. Stone, James D. Doyle, Nancy L. Baker, Anna M. Wilson, ..., Aneesh C. Subramanian, et al. (2023). Impacts of Northeastern Pacific Buoy Surface Pressure Observations. MONTHLY WEATHER REVIEW.

Zhenhai Zhang, Michael J. DeFlorio, Luca Delle Monache, Aneesh C. Subramanian, F. Martin Ralph, et al. (2023). Multi-Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western US. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.

Tamara Shulgina, Alexander Gershunov, Benjamin J. Hatchett, Kristen Guirguis, Aneesh C. Subramanian, et al. (2023). Observed and projected changes in snow accumulation and snowline in California's snowy mountains. CLIMATE DYNAMICS.

Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Aneesh Subramanian, et al. (2023). Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference. arXiv.

Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, et al. (2023). Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. 2023 International Conference on Machine Learning and Applications (ICMLA).

Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, ..., Aneesh Subramanian, et al. (2023). Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach. arXiv.

Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, ..., Aneesh Subramanian, et al. (2023). Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-Variability-Aware Approach. I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions.

Soumik Ghosh, Arthur J. Miller, Aneesh C. Subramaniam, R. Bhatla, Sushant Das (2023). Signals of northward propagating monsoon intraseasonal oscillations (MISOs) in the RegCM4.7 CORDEX-CORE simulation over South Asia domain. Climate Dynamics.

Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian, Claire Monteleoni (2023). STint: Self-supervised Temporal Interpolation for Geospatial Data. arXiv.

Kristen Guirguis, Alexander Gershunov, Benjamin J Hatchett, Michael J DeFlorio, Aneesh Subramanian, et al. (2023). Subseasonal prediction of impactful California weather in a hybrid dynamical-statistical framework.

Kristen Guirguis, Alexander Gershunov, Benjamin J Hatchett, Michael J DeFlorio, Aneesh Subramanian, et al. (2023). Subseasonal prediction of impactful California weather in a hybrid dynamical-statistical framework.

Timothy B. Higgins, Aneesh C. Subramanian, Andre Graubner, Lukas Kapp-Schwoerer, Peter A. G. Watson, et al. (2023). Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Data Set. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS.

Rui Sun, Alison Cobb, Ana B. Villas Boas, Sabique Langodan, Aneesh C. Subramanian, et al. (2023). Waves in SKRIPS: WAVEWATCH III coupling implementation and a case study of Tropical Cyclone Mekunu. GEOSCIENTIFIC MODEL DEVELOPMENT.

Donata Giglio, Sarah T. Gille, Bruce D. Cornuelle, Aneesh C. Subramanian, F. Joseph Turk, et al. (2022). Annual Modulation of Diurnal Winds in the Tropical Oceans. REMOTE SENSING.

Anna M. Wilson, Alison Cobb, F. Martin Ralph, Vijay Tallapragada, Chris Davis, ..., Aneesh Subramanian, et al. (2022). Atmospheric River Reconnaissance Workshop Promotes Research and Operations Partnership. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Charlotte A. DeMott, Aneesh Subramanian, Shuyi Chen, Kyla Drushka, Yosuke Fujii, et al. (2022). Focused Observations for Expanded Comprehension: Advancing Tropical Pacific Coupled Modeling and Process Understanding. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Rui Sun, Ana B. Villas Boas, Aneesh C. Subramanian, Bruce D. Cornuelle, Matthew R. Mazloff, et al. (2022). Focusing and Defocusing of Tropical Cyclone Generated Waves by Ocean Current Refraction. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS.

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim, Claudia Battistin, ..., Aneesh C. Subramanian, et al. (2022). Insights into the quantification and reporting of model-related uncertainty across different disciplines. ISCIENCE.

Shane Elipot, Kyla Drushka, Aneesh Subramanian, Mike Patterson (2022). Overcoming the Challenges of Ocean Data Uncertainty. Eos.

William E. Chapman, Luca Delle Monache, Stefano Alessandrini, Aneesh C. Subramanian, F. Martin Ralph, et al. (2022). Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning. MONTHLY WEATHER REVIEW.

Varunesh Chandra, S. Sandeep, E. Suhas, Aneesh C. Subramanian (2022). Weakening of Indian Summer Monsoon Synoptic Activity in Response to Polar Sea Ice Melt Induced by Albedo Reduction in a Climate Model. EARTH AND SPACE SCIENCE.

Kristen Guirguis, Alexander Gershunov, Benjamin Hatchett, Tamara Shulgina, Michael J. DeFlorio, ..., Aneesh C. Subramanian, et al. (2022). Winter wet-dry weather patterns driving atmospheric rivers and Santa Ana winds provide evidence for increasing wildfire hazard in California. CLIMATE DYNAMICS.

Emily Shroyer, Amit Tandon, Debasis Sengupta, Harindra J. S. Fernando, Andrew J. Lucas, ..., Aneesh Subramanian, et al. (2021). Bay of Bengal Intraseasonal Oscillations and the 2018 Monsoon Onset. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Minghua Zheng, Luca Delle Monache, Xingren Wu, F. Martin Ralph, Bruce Cornuelle, ..., Aneesh Subramanian, et al. (2021). Data Gaps within Atmospheric Rivers over the Northeastern Pacific. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Naila F. Raboudi, Boujemaa Ait-El-Fquih, Aneesh C. Subramanian, Ibrahim Hoteit (2021). Enhancing ensemble data assimilation into one-way-coupled models with one-step-ahead smoothing. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY.

Minghua Zheng, Luca Delle Monache, Bruce D. Cornuelle, F. Martin Ralph, Vijay S. Tallapragada, ..., Aneesh Subramanian, et al. (2021). Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.

Gerald A. Meehl, Jadwiga H. Richter, Haiyan Teng, Antonietta Capotondi, Kim Cobb, ..., Aneesh C. Subramanian, et al. (2021). Initialized Earth System prediction from subseasonal to decadal timescales. NATURE REVIEWS EARTH & ENVIRONMENT.

William E. Chapman, Aneesh C. Subramanian, Shang-Ping Xie, Michael D. Sierks, F. Martin Ralph, et al. (2021). Monthly Modulations of ENSO Teleconnections: Implications for Potential Predictability in North America. JOURNAL OF CLIMATE.

Rui Sun, Aneesh C. Subramanian, Bruce D. Cornuelle, Matthew R. Mazloff, Arthur J. Miller, et al. (2021). The Role of Air-Sea Interactions in Atmospheric Rivers: Case Studies Using the SKRIPS Regional Coupled Model. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.

Ibrahim Hoteit, Yasser Abualnaja, Shehzad Afzal, Boujemaa Ait-El-Fquih, Triantaphyllos Akylas, ..., Aneesh Subramanian, et al. (2021). Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Sue Ellen Haupt, William Chapman, Samantha V. Adams, Charlie Kirkwood, J. Scott Hosking, ..., Aneesh C. Subramanian, et al. (2021). Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES.

Ho-Hsuan Wei, Aneesh C. Subramanian, Kristopher B. Karnauskas, Charlotte A. DeMott, Matthew R. Mazloff, et al. (2021). Tropical Pacific Air-Sea Interaction Processes and Biases in CESM2 and Their Relation to El Nino Development. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS.

Raju Pathak, Hari Prasad Dasari, Samah El Mohtar, Aneesh C. Subramanian, Sandeep Sahany, et al. (2021). Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6). FRONTIERS IN CLIMATE.

Jonathan Eliashiv, Aneesh C. Subramanian, Arthur J. Miller (2020). A Reliability Budget Analysis of CESM-DART. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS.

Ganesh Gopalakrishnan, Aneesh C. Subramanian, Arthur J. Miller, Hyodae Seo, Debasis Sengupta (2020). Estimation and prediction of the upper ocean circulation in the Bay of Bengal. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY.

David A. Lavers, N. Bruce Ingleby, Aneesh C. Subramanian, David S. Richardson, F. Martin Ralph, et al. (2020). Forecast Errors and Uncertainties in Atmospheric Rivers. WEATHER AND FORECASTING.

Kristen Guirguis, Alexander Gershunov, Michael J. DeFlorio, Tamara Shulgina, Luca Delle Monache, ..., Aneesh C. Subramanian, et al. (2020). Four Atmospheric Circulation Regimes Over the North Pacific and Their Relationship to California Precipitation on Daily to Seasonal Timescales. GEOPHYSICAL RESEARCH LETTERS.

Hege-Beate Fredriksen, Judith Berner, Aneesh C. Subramanian, Antonietta Capotondi (2020). How Does El Nino-Southern Oscillation Change Under Global Warming-A First Look at CMIP6. GEOPHYSICAL RESEARCH LETTERS.

II Gagne, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan (2020). Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz `96 Model. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS.

Michael G. Jacox, Michael A. Alexander, Samantha Siedlecki, Ke Chen, Young-Oh Kwon, ..., Aneesh Subramanian, et al. (2020). Seasonal-to-interannual prediction of North American coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments. PROGRESS IN OCEANOGRAPHY.

Jonathan Eliashiv, Aneesh C. Subramanian, Arthur J. Miller (2020). Tropical climate variability in the Community Earth System Model: Data Assimilation Research Testbed. CLIMATE DYNAMICS.

F. Martin Ralph, Forest Cannon, Vijay Tallapragada, Christopher A. Davis, James D. Doyle, ..., Aneesh Subramanian, et al. (2020). West Coast Forecast Challenges and Development of Atmospheric River Reconnaissance. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Karsten Haustein, Friederike E. L. Otto, Victor Venema, Peter Jacobs, Kevin Cowtan, ..., Aneesh Subramanian, et al. (2019). A Limited Role for Unforced Internal Variability in Twentieth-Century Warming. JOURNAL OF CLIMATE.

Aneesh Subramanian, Stephan Juricke, Peter Dueben, Tim Palmer (2019). A Stochastic Representation of Subgrid Uncertainty for Dynamical Core Development. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

Nathali Cordero-Quiros, Arthur J. Miller, Aneesh C. Subramanian, Jessica Y. Luo, Antonietta Capotondi (2019). Composite physical-biological El Nino and La Nina conditions in the California Current System in CESM1-POP2-BEC. OCEAN MODELLING.

Hyodae Seo, Aneesh C. Subramanian, Hajoon Song, Jasti S. Chowdary (2019). 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.

Yassir A. Eddebbar, Keith B. Rodgers, Matthew C. Long, Aneesh C. Subramanian, Shang-Ping Xie, et al. (2019). El Nino-Like Physical and Biogeochemical Ocean Response to Tropical Eruptions. JOURNAL OF CLIMATE.

Regina R. Rodrigues, Aneesh Subramanian, Laure Zanna, Judith Berner (2019). ENSO Bimodality and Extremes. GEOPHYSICAL RESEARCH LETTERS.

Michael J. DeFlorio, Duane E. Waliser, F. Martin Ralph, Bin Guan, Alexander Goodman, ..., Aneesh C. Subramanian, et al. (2019). Experimental Subseasonal-to-Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.

Ana B. Villas Boas, Fabrice Ardhuin, Alex Ayet, Mark A. Bourassa, Peter Brandt, ..., Aneesh C. Subramanian, et al. (2019). Integrated Observations of Global Surface Winds, Currents, and Waves: Requirements and Challenges for the Next Decade. FRONTIERS IN MARINE SCIENCE.

Stephen G. Penny, Santha Akella, Magdalena A. Balmaseda, Philip Browne, James A. Carton, ..., Aneesh Subramanian, et al. (2019). Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction. FRONTIERS IN MARINE SCIENCE.

Antonietta Capotondi, Michael Jacox, Chris Bowler, Maria Kavanaugh, Patrick Lehodey, ..., Aneesh Subramanian, et al. (2019). Observational Needs Supporting Marine Ecosystems Modeling and Forecasting: From the Global Ocean to Regional and Coastal Systems. FRONTIERS IN MARINE SCIENCE.

Aneesh C. Subramanian, Magdalena A. Balmaseda, Luca Centurioni, Rajib Chattopadhyay, Bruce D. Cornuelle, et al. (2019). Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability. FRONTIERS IN MARINE SCIENCE.

Antonietta Capotondi, Prashant D. Sardeshmukh, Emanuele Di Lorenzo, Aneesh C. Subramanian, Arthur J. Miller (2019). Predictability of US West Coast Ocean Temperatures is not solely due to ENSO. SCIENTIFIC REPORTS.

Daniela Faggiani Dias, Aneesh Subramanian, Laure Zanna, Arthur J. Miller (2019). Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study. CLIMATE DYNAMICS.

Rui Sun, Aneesh C. Subramanian, Arthur J. Miller, Matthew R. Mazloff, Ibrahim Hoteit, et al. (2019). 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.

Christine A. Shields, Jonathan J. Rutz, Lai-Yung Leung, F. Martin Ralph, Michael Wehner, ..., Aneesh C. Subramanian, et al. (2018). Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Project Goals and Experimental Design. Geoscientific Model Development Discussions.

Kristen Guirguis, Alexander Gershunov, Rachel E. S. Clemesha, Tamara Shulgina, Aneesh C. Subramanian, et al. (2018). Circulation Drivers of Atmospheric Rivers at the North American West Coast. Geophysical Research Letters.

Sam Hatfield, Aneesh Subramanian, Tim Palmer, Peter Duben (2018). Improving Weather Forecast Skill through Reduced-Precision Data Assimilation. MONTHLY WEATHER REVIEW.

Peng Zhan, Ganesh Gopalakrishnan, Aneesh C. Subramanian, Daquan Guo, Ibrahim Hoteit (2018). Sensitivity Studies of the Red Sea Eddies Using Adjoint Method. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS.

Peng Zhan, Ganesh Gopalakrishnan, Aneesh C. Subramanian, Daquan Guo, Ibrahim Hoteit (2018). Sensitivity Studies of the Red Sea Eddies Using Adjoint Method. Journal of Geophysical Research: Oceans.

Kimberly Leung, Aneesh C. Subramanian, Samuel S. P. Shen (2018). Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin. ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS.

Kimberly Leung, Aneesh C. Subramanian, Samuel S. P. Shen (2018). Statistical Characteristics of Long-Term High-Resolution Precipitable Water Vapor Data at Darwin. Advances in Data Science and Adaptive Analysis.

Yolande L. Serra, Jennifer S. Haase, David K. Adams, Qiang Fu, Thomas P. Ackerman, ..., Aneesh Subramanian, et al. (2018). The Risks of Contracting the Acquisition and Processing of the Nation's Weather and Climate Data to the Private Sector (vol 99, pg 869, 2018). BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY.

In-Sik Kang, Min-Seop Ahn, Hiroaki Miura, Aneesh Subramanian (2017). GCMs With Full Representation of Cloud Microphysics and Their MJO Simulations. SUB-SEASONAL TO SEASONAL PREDICTION: THE GAP BETWEEN WEATHER AND CLIMATE FORECASTING.

Peter D. Duben, Aneesh Subramanian, Andrew Dawson, T. N. Palmer (2017). 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.

Paolo Davini, Jost von Hardenberg, Susanna Corti, Hannah M. Christensen, Stephan Juricke, ..., Aneesh Subramanian, et al. (2017). Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model. GEOSCIENTIFIC MODEL DEVELOPMENT.

Aneesh C. Subramanian, Tim N. Palmer (2017). Ensemble superparameterization versus stochastic parameterization: A comparison of model uncertainty representation in tropical weather prediction. Journal of Advances in Modeling Earth Systems.

Aneesh Subramanian, Antje Weisheimer, Tim Palmer, Frederic Vitart, Peter Bechtold (2017). Impact of stochastic physics on tropical precipitation in the coupled ECMWF model. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY.

Caroline Ummenhofer, Aneesh Subramanian, Sonya Legg (2017). Maintaining Momentum in Climate Model Development. Eos.

Benjamin Huddart, Aneesh Subramanian, Laure Zanna, Tim Palmer (2017). Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model. CLIMATE DYNAMICS.

Martin Leutbecher, Sarah-Jane Lock, Pirkka Ollinaho, Simon T. K. Lang, Gianpaolo Balsamo, ..., Aneesh Subramanian, et al. (2017). Stochastic representations of model uncertainties at ECMWF: state of the art and future vision. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY.

Donata Giglio, Sarah T. Gille, Aneesh C. Subramanian, San Nguyen (2017). The role of wind gusts in upper ocean diurnal variability. Journal of Geophysical Research: Oceans.

Kimberly Leung, Max Velado, Aneesh Subramanian, Guang J. Zhang, Richard C. J. Somerville, et al. (2016). Simulation of High-Resolution Precipitable Water Data by a Stochastic Model with a Random Trigger. ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS.

Peng Zhan, Aneesh C. Subramanian, Fengchao Yao, Aditya R. Kartadikaria, Daquan Guo, et al. (2016). The eddy kinetic energy budget in the Red Sea. Journal of Geophysical Research: Oceans.

Arthur J. Miller, Hajoon Song, Aneesh C. Subramanian (2015). The physical oceanographic environment during the CCE-LTER Years: Changes in climate and concepts. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY.

Nicholas R. Cavanaugh, Teddy Allen, Aneesh Subramanian, Brian Mapes, Hyodae Seo, et al. (2015). The skill of atmospheric linear inverse models in hindcasting the Madden-Julian Oscillation. CLIMATE DYNAMICS.

Hyodae Seo, Aneesh C. Subramanian, Arthur J. Miller, Nicholas R. Cavanaugh (2014). Coupled Impacts of the Diurnal Cycle of Sea Surface Temperature on the Madden-Julian Oscillation. JOURNAL OF CLIMATE.

Aneesh C. Subramanian, Guang J. Zhang (2014). Diagnosing MJO hindcast biases in NCAR CAM3 using nudging during the DYNAMO field campaign. Journal of Geophysical Research: Atmospheres.

Peng Zhan, Aneesh C. Subramanian, Fengchao Yao, Ibrahim Hoteit (2014). Eddies in the Red Sea: A statistical and dynamical study. Journal of Geophysical Research: Oceans.

Aneesh Subramanian, Markus Jochum, Arthur J. Miller, Richard Neale, Hyodae Seo, et al. (2014). The MJO and global warming: a study in CCSM4. CLIMATE DYNAMICS.

Hajoon Song, Ibrahim Hoteit, Bruce D. Cornuelle, Xiaodong Luo, Aneesh C. Subramanian (2013). An Adjoint-Based Adaptive Ensemble Kalman Filter. Monthly Weather Review.

Aneesh C. Subramanian, Ibrahim Hoteit, Bruce Cornuelle, Arthur J. Miller, Hajoon Song (2012). Linear versus Nonlinear Filtering with Scale-Selective Corrections for Balanced Dynamics in a Simple Atmospheric Model. Journal of the Atmospheric Sciences.

Aneesh C. Subramanian, Markus Jochum, Arthur J. Miller, Raghu Murtugudde, Richard B. Neale, et al. (2011). The Madden-Julian Oscillation in CCSM4. JOURNAL OF CLIMATE.

Hajoon Song, Ibrahim Hoteit, Bruce D. Cornuelle, Aneesh C. Subramanian (2010). An Adaptive Approach to Mitigate Background Covariance Limitations in the Ensemble Kalman Filter. Monthly Weather Review.