CW3E at the American Geophysical Union (AGU) 2024 Annual Meeting

CW3E will be participating in the upcoming 2024 American Geophysical Union (AGU) annual fall meeting this December. Several CW3E graduate students, post docs and researchers will travel to Washington, D.C. or connect remotely to present their work at this year AGU’s meeting, themed “What’s Next for Science.” More information about AGU 2024 annual meeting here.

Each year AGU’s annual meeting boasts the largest gathering of Earth and space scientists, convening over 25,000 attendees from over 100 countries to share research and connect with friends and colleagues. Joining scientists in attendance at AGU every year are educators, policymakers, journalists and communicators interested in better understanding and communicating earth science within their fields. CW3E will be represented by 16 presenters this year and has 36 authors represented in total across 39 submitted talks and poster presentations.

All CW3E submissions are linked below in alphabetical order of first author (last name). CW3E researchers, post-docs and graduate students names are bolded, CW3E funded research collaborators or alumni names are italicized.

Alipour R.S., P. Nikrou, A.M. Nemnem, S. Balachandran, E. Goharian, J. Imran, S.J. Burian, D. Weiss, J. Kastens, X. Li, S. Cohen. H53M-1264 Comparative Analysis of Low-Complexity Flood Inundation Models for Dam Failure Scenarios: OWP HAND-FIM vs FLDPLN.

Balachandran S., A.M. Nemnem, P. Nikrou, R.S. Alipour, E. Goharian, J. Imran, S.J. Burian, X. Li, S. Cohen. H53M-1281 Rapid Inundation Mapping for Catastrophic Floods Due to Dam Failures and Operations.

Battula S.B., J.M. Cordeira. A53G-2167 Analyses and Model Evaluation of Extreme Precipitation Caused by Atmospheric Rivers and Mesoscale Convective Systems over Southeast United States.

Brandt T., K. Haleakala, G. Lewis, R. Weihs, A. Cooper, A.M. Wilson, T. Dixon. H32C-07 Is it rain or snow—what observations are required for mountain precipitation phase determination?.

Chen X., T. Yang, K.M. Mahoney, M. Pan, N.L. Ciwro. A51L & A54B Advancing Precipitation Predictions with Physical Models and Artificial Intelligence.

Clemesha, R.E.S., A. Gershunov, R.L. Niño, C. Poulsen, E. Fleishman, G.L. Rochelle, S. Shanahan, B.H. Udall. A13L-05 History and Future Projections of the Diverse Seasonalities of Precipitation within the Colorado River Basin and Southwestern United States.

DeMott C.A., A. Subramanian, C.A. Davis, J.D. Doyle, S.A. Henderson, H. Kim, D. Lavers, A. Levine, C.A. Reynolds, V. Tallapragada, A.M. Wilson. A53G-2274 Teleconnecting process studies: How can we enhance synergies across observing campaigns of teleconnected phenomena?.

Erfani M., J. Kalansky, L. Su, C. Delaney, J. Mendoza. H43T-04 Evaluating Forecast-Informed Reservoir Operations (FIRO) for Climate Change Adaptation: A Case Study on Lake Mendocino in Northern California.

Ge G., M. Zheng, A. Jensen, H. Li, W. Mayfield, A. Back. A42G Numerical Modeling, Data Assimilation, and Research to Operations (R2O) for Better Forecasting of High-Impact Weather Events.

Ge G., M. Zheng, A. Jensen, H. Li, W. Mayfield, J. Wang. A43M Numerical Modeling, Data Assimilation, and Research to Operations (R2O) for Better Forecasting of High-Impact Weather Events.

Ghazvinian M., T. Dixon, L. Delle Monache, A. Sengupta, M. Pan, P. Mulrooney, B. Whitin, P. Fickensher, F.M. Ralph. H31D-06 Deep Learning-Based Ensemble meteorological Forcings for Probabilistic Hydrologic Forecasting.

Gilmore T.E., F. Birgand, E. Goharian, C. Terry. H13C Cameras as Sensors: Application of Images, Videos, and Artificial Intelligence for Hydrological Monitoring Poster.

Goharian E., S.N. Young, J.S. Horsburgh, S. Khan, R. Isa, S. Neupane, M.H. Goloujeh. H13C-1039 Advancing Camera-Based Monitoring for Operational Hydrologic Applications.

Goharian, E., S. Steinschneider, C. Delaney, X. Cai, K.S. Raney. H41T & H43T Water and Society: Forecast-Informed Reservoir Operations (FIRO).

Gorooh V.A., Z. Zhang, D. Axisa, L. Delle Monache. A21G-1805 Development and Application of LSTM for Nowcasting Seedable Cloud Features Using Geostationary Satellite Information over the United Arab Emirates.

Higgins T., W. Chapman, A. Subramanian, C. Pedersen, L.Delle Monache. GC21C-06 Using Generative AI to Improve Data-driven Weather Model Forecasts.

Hsu T.Y., M.R. Mazloff, R. Sun, S.T. Gille, B.D. Cornuelle, M. Zheng, L. Delle Monache. A21D-1750 The Modification of Air-sea Fluxes in High-Wind Environments by Mesoscale Sea Surface Temperature Structure.

Karakan I., J.F. Jamal, E. Goharian, H. Chaudhry, J. Imran. H51T-0985A Diffusive Wave Routing Model Using Meshless Radial Basis Function Collocation Method for Operational Forecasting.

Kim E.Y., V. Chandrasekar, K.D. Waal, L. Delle Monache. A21G-1807 Dual-Polarization Radar Characterization of Extreme Rainfall Event Over the UAE Region.

Lewis G., T. Dixon, B. Whitin, P. Fickensher, A. Reising, D. Rizzardo, R. Hartman, M. Pan, M. Xiao. H06-118 Partnership Approach to Assessing and Improving Operational Water Supply Forecasting Across the Sierra Nevada.

Martens H.R., Q. Cao, A.A. Borsa, M. Pan, A.M. Wilson, E.Knappe, M. Ralph. G11A-04 Water-Storage Gains Driven by Atmospheric Rivers in the Western United States.

Nash D.. EP51C-1348 Differentiating between impactful and non-impactful Atmospheric River events in Southeast Alaska.

Nash D., J. Rutz, J.M. Cordeira, F.M. Ralph, K. Sanders, E. Walter. A52B-06 Inland- penetrating Atmospheric Rivers and Hydrometeorological Impacts in Colorado.

Nemnem A.M., A.H. Tanim, E. Goharian, S. Khan, J. Imran. H12C-03 Modeling Dam Break Flooding under Rainfall Uncertainty: A Case Study of Storm Daniel in Derna, Libya.

Pan M., M. Xiao, Y. Yang, G. Lewis, T. Dixon, C. Shen, Y. Song, D. Feng. H13R-04 Some Lessons Learned in Process-based and Data-driven Modeling for Applied Hydrology.

Patton A.I., L. Luna, A.B. Jacobs, E. Lawrence, B.B. Mirus, D. Nash, J.J. Roering. EP53G-02 Climate Controls on Rainfall Thresholds for Landslide Warning in Southeast Alaska.

Perez A., M. Erfani, E. Goharian. H41T-0795 Integrating Ensemble Hydrologic Forecasts and Interpretable ML Models for FIRO-Based Reservoir Management.

Poulsen C., R.E.S. Clemesha, A. Gershunov, M. D. Dettinger, Z. Zhang, I. Howard, D.W. Stahle, F.M. Ralph. A53J-2230 Influence of Past and Present Spring Precipitation on Western US Drought: A Story of the 1991 California “Miracle March”.

Ralph F.M.. 51D-01 Atmospheric Rivers: From Science to Solutions.

Ralph F.M. H43T-02 Putting the “F” in FIRO: The Challenges and Opportunities of Better Predicting Extreme Precipitation and Stream Flow and the Storms That Produce Them.

Raney K.S., M. Erfani, E. Goharian. H43T-06 Forecast Informed Reservoir Operations: Leveraging Ensemble Forecasts and Advanced Model Predictive Control Methods for Improved Water Storage and Flood Control.

Rush W., J.M. Lora, C.B. Skinner, S. Menemenlis, C.A. Shields, P. Ullrich, T.A. O’Brien, S. Brands, B. Guan, K.S. Mattingly, E.E. McClenny, B.D. Mundhenk, A.B. Nellikkattil, E. Shearer, K. Reid, A. Ramos, R. Tomé, R. Leung, J, Wille, F.M. Ralph, J. Rutz, M.F. Wehner. A34C Atmospheric Rivers: Processes, Impacts, Observations and Uncertainties.

Rutz J., M. Steen, R. Vilela, V. Chandrasekar, B. Garcia. A43A-1944 Comparison of AQPI X-Band and NEXRAD S-Band Radar-Estimated Rain Rates during an Extreme Atmospheric River Event.

Rutz J., V. Chandrasekar, R. Vilela, M. Steen, D. Roberts, F.M. Ralph. A06-03 Updates on the Advanced Quantitative Precipitation Information (AQPI) Project: Improved Radar-based Observations and Forecasts for the San Francisco Bay Area.

Slinskey E.A., J. Rutz, F.M. Ralph. A53G-2164 The NCEI Climate Data Record for Atmospheric Rivers: Initial Results over the Western United States.

Tallapragada V., X. Wu, K. Wu, A.M. Wilson, F.M. Ralph. A51C-01 Advancing Aircraft Reconnaissance Observations, Modeling and Data Assimilation for Improved Atmospheric River Forecasts.

Wang J., M. Zheng, J. Rutz, L.Delle Monache, J. Kalansky, F.M. Ralph. A43M-2159 Assimilating NEXRAD into a Regional Model for Improved Precipitation Forecasts during Two Landfalling Atmospheric Rivers.

Wilson A.M., F.M. Ralph, L.Delle Monache, A. Sengupta, M. Pan, E. Goharian, J.M. Cordeira, V. Tallapragada, C. Talbot, J. Forbis. NH34B-02 Supporting Hazard Preparedness for Extreme Precipitation Associated with Atmospheric Rivers.

Webb M., C. Albano, D. Bozkurt, R. Garreaud, G. Yu, A.M. Wilson. A53J-2316 Drivers of Enhanced Flooding Risk During Atmospheric Rivers in the Western U.S. and Central Chile.

Yang Y., D. Feng, H. Beck, W. Hu, A. Sengupta, L. Delle Monache, R. Hartman, P. Lin, C. Shen, M. Pan. H54D-01 Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) Model and River Routing.

Yang Y., M. Pan, C. Shen, M. Xiao, L. Delle Monache, A. Sengupta, R. Hartman. H53Z-05 Augmentation for Western US Streamflow Prediction Using LSTM-powered Data Fusion Approach.

Yang Z., W. Hu, A. Sengupta, L. Delle Monache, M.J. Deflorio, M. Ghazvinian, M. Pan, J. Kalansky. A41K-1723 Enhancing Weeks 1-2 Forecasts of 2-m Temperature in the Sierra Nevada California through Analog Ensemble post-processing.

Zhang Z., F.M. Ralph, J. Rutz, D. Nash. A53G-2176 The Role of Atmospheric Rivers in the Snowpack over the Upper Colorado River Basin during Water Year 2023.

Zhang Z., F.M. Ralph, X. Zou, B. Kawzenuk, M. Zheng, I. Gorodetskaya, P.M. Rowe, D.H. Bromwich. A41J-1709 Extending the CW3E Atmospheric River Scale to the Polar Regions.

Zheng M., L. Delle Monache, X. Wu, B. Kawzenuk, F.M. Ralph, Y. Zhu, R. Tom, V. Tallapragada, Z. Zhang, K. Wu, J. Wang. A43M-2169 Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Radiance Data in GFS.