Publications
CISL OpenSky Publications
Select a year, sub-unit, genre, and/or author name to view peer-reviewed publications involving authors from CISL. You can browse the full list of publications and search for specific ones in OpenSky, the open-access repository of scholarly works developed and managed by NSF NCAR Library.
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Proceedings of the 2026 Improving Scientific Software Conference Fitzgerald, K., Smith, S., Fisher, W., Nshuti, F. H., Mishra, S., et al. (2026). Proceedings of the 2026 Improving Scientific Software Conference. NCAR Technical Notes, doi:https://doi.org/10.5065/ja7w-wb34 The Software Engineering Assembly (SEA) is a loosely structured group of software engineers and scientists who write scientific software, mostly but not only at NCAR and mostly but not only in the field of atmospheric sciences. The mission ... CISL Affiliations: VAST Publication Genre: Technical Report View on OpenSky |
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Xu, D., Pu, Z., Zhang, S., Anderson, J. L., Leung, L. R.. (2026). Dependence of subseasonal to seasonal precipitation prediction on atmospheric and land initial conditions in the energy exascale earth system model. Climate Dynamics, doi:https://doi.org/10.1007/s00382-026-08320-y Subseasonal to seasonal (S2S) scale prediction, especially precipitation prediction, depends predominantly on initial conditions. To examine the impacts of atmospheric and land initial conditions on the predictions of the Madden-Julian Osci... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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A quantitative evaluation of forest aboveground biomass density map products in oregon, USA Hudak, A. T., Bakken, J., Lister, A., Mauro, F., Gregory, M., et al. (2026). A quantitative evaluation of forest aboveground biomass density map products in oregon, USA. Environmental Research Letters, doi:https://doi.org/10.1088/1748-9326/ae8b04 Maps of aboveground biomass density (AGBD) estimated from remote sensing data with models trained from inventory data are essential for carbon monitoring. Forest inventory plots in the United States (US) are measured by the forest inventory... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Advancing earth system science with and for the community: shaping NSF ncar's AI strategy Richter, J. H., Harney, L., Haacker, R., Clyne, J. P., Cains, M., et al. (2026). Advancing earth system science with and for the community: shaping NSF ncar's AI strategy. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/bams-d-26-0202.1 Artificial intelligence (AI) and machine learning (ML) are rapidly transforming Earth system science (ESS), enabling new approaches to observation, data assimilation, and forecasting across interconnected atmospheric, chemical, hydrological... CISL Affiliations: VAST, ISD, DECS Publication Genre: Article View on OpenSky |
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Kamali, S., Colegrove, D., Mickelson, S., Fitzgerald, K.. (2026). Community Software Facility Discovery Workshop Report: Scientific software best practices, tools, and culture. NCAR Technical Notes, doi:https://doi.org/10.5065/q5jz-k286 This document synthesizes the key findings from a workshop held in August 2025 to inform software design approaches and culture norms to consider implementing within the NSF NCAR Community Software Facility (CSF). The CSF discovery workshop... CISL Affiliations: ASAP, VAST Publication Genre: Workshop Report View on OpenSky |
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Sun, Y., Oleson, K. W., Zheng, Z.. (2026). Modeling urban traffic heat flux in the Community Earth System Model: Formulation and validation for two test sites. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2025MS005435 Vehicular traffic is a major contributor to anthropogenic heat flux (AHF) in urban areas, amplifying urban heat island effects. However, few Earth system models explicitly represent traffic conditions and their associated heat emissions. Th... Publication Genre: Article View on OpenSky |
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Data-driven probabilistic air-sea flux parameterization Wu, J., Perezhogin, P., Gagne, D. J., Reichl, B. G., Subramanian, A. C., et al. (2026). Data-driven probabilistic air-sea flux parameterization. Geophysical Research Letters, doi:https://doi.org/10.1029/2025gl120472 Accurately quantifying air-sea fluxes is important for understanding air-sea interactions and improving coupled weather and climate models. This study introduces a probabilistic framework to represent the highly variable nature of air-sea f... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Tang, W., Kumar, R., Méndez, A. d. M., Ahafianyo, F., Akinsanola, A. A., et al. (2026). The UCAR Africa Initiative: Recent insights, challenges, and opportunities to foster collaborative research for environmental sustainability. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/bams-d-24-0118.1 Africa is increasingly being exposed to the negative impacts of climate and envi- ronmental change, while having less capacity to respond compared to other continents. The vulnerability partially results from unprecedented demographic growt... CISL Affiliations: CODE Publication Genre: Article View on OpenSky |
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Richter, J. H., Joseph, E., Arcodia, M. C., Berner, J., Demuth, J. L., et al. (2026). Earth system predictability across time scales for a resilient society: A research community perspective. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/bams-d-24-0155.1 With extreme weather events becoming more frequent and severe, accelerating progress in Earth system predictability is urgently needed to deepen fundamental understanding, improve predictive tools, and provide reliable, actionable informati... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Bayesian deep learning for convective initiation nowcasting uncertainty estimation Fan, D., Gagne, D. J., Greybush, S. J., Clothiaux, E. E., Schreck, J. S., et al. (2026). Bayesian deep learning for convective initiation nowcasting uncertainty estimation. Artificial Intelligence for the Earth Systems, doi:https://doi.org/10.1175/aies-d-25-0064.1 This study evaluated the probability and uncertainty forecasts of five recently proposed Bayesian deep learning methods relative to a deterministic residual neural network (ResNet) baseline for 0–1-h convective initiation (CI) nowcasting us... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Schreck, J. S., Petzke, W., Munoz, P. A. J., Brummet, T.. (2026). Quantifying VIIRS and ABI contributions to hourly dead fuel moisture content estimation using machine learning. Remote Sensing, doi:https://doi.org/10.3390/rs18020318 Fuel moisture content (FMC) estimation is essential for wildfire danger assessment and fire behavior modeling. This study quantifies the value of integrating satellite observations from the Visible Infrared Imaging Radiometer Suite (VIIRS) ... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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A regional benchmark for deep learning-based hourly precipitation nowcasting in Latin America Almeida, A. P., Barbosa, H. M., Garcia, S. R., Gagne, D. J., Zhou, K., et al. (2026). A regional benchmark for deep learning-based hourly precipitation nowcasting in Latin America. IEEE Access, doi:https://doi.org/10.1109/access.2026.3670767 Accurate short-term precipitation forecasting is critical for Latin America, but the region lacks a standardized framework to evaluate data-driven approaches due to the sparse coverage in the ground. This study introduces the Artificial Int... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Quantile-conserving ensemble filters for all-sky infrared radiance assimilation Lei, L., Ju, H., Fu, K., Anderson, J. L., ZHOU, L., et al. (2026). Quantile-conserving ensemble filters for all-sky infrared radiance assimilation. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-25-0038.1 All-sky satellite radiance assimilation faces the challenge of non-Gaussian error distributions, which can be exacerbated by fine model resolutions with better-resolved physical processes. Compared to the ensemble adjustment Kalman filter (... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Oceanhackweek: an inclusive, collaborative approach to developing oceanography data science skills Mitchell, C., Lee, W., Fernandes, F., Gum, J., Kerney, A., et al. (2026). Oceanhackweek: an inclusive, collaborative approach to developing oceanography data science skills. Oceanography, doi:https://doi.org/10.5670/oceanog.2026.e104 Over the last two decades, there has been an explosion of oceanographic data from a broad array of ocean observing platforms, as well as dramatic improvements in the ability of ocean models to resolve processes across multiple temporal and ... CISL Affiliations: ISD, SAGE Publication Genre: Article View on OpenSky |
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Sanikommu, S., Wang, Y., Gharamti, M. E., Mazloff, M. R., Verdy, A., et al. (2025). Evaluating a hybrid ensemble data assimilative coupled physical-biogeochemical ecosystem model of the Red Sea. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2025ms005086 A hybrid ensemble data assimilation (DA) system is implemented for a coupled physical–biogeochemical ecosystem model of the Red Sea using MITgcm and NBLING at 4 km resolution, marking the first application of its kind in the region. The met... CISL Affiliations: DARES, TDD Publication Genre: Article View on OpenSky |
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Improving AI weather prediction models using global mass and energy conservation schemes Sha, Y., Schreck, J. S., Chapman, W., Gagne, D. J.. (2025). Improving AI weather prediction models using global mass and energy conservation schemes. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2025ms005138 Artificial Intelligence (AI) weather prediction (AIWP) models are powerful tools for medium-range forecasts but often lack physical consistency, leading to outputs that violate conservation laws. This study introduces a set of novel physics... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Gharamti, M. E., Kershaw, H., Raeder, K. D., Raczka, B., Johnson, B. T., et al. (2025). The data assimilation research testbed: a robust, scalable software facility with groundbreaking capabilities for model-data integration. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-24-0214.1 Data assimilation (DA) is a powerful computational technique that enhances the predictive capabilities of numerical models by integrating observational data. The Data Assimilation Research Testbed (DART) is a community facility for ensemble... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Investigating the use of terrain-following coordinates in AI-driven precipitation forecasts Sha, Y., Schreck, J. S., Chapman, W., Gagne, D. J.. (2025). Investigating the use of terrain-following coordinates in AI-driven precipitation forecasts. Geophysical Research Letters, doi:https://doi.org/10.1029/2025gl118478 Artificial Intelligence (AI) weather prediction (AIWP) models often produce "blurry" precipitation forecasts. This study presents a novel solution to tackle this problem—integrating terrain-following coordinates into AIWP models. Forecast e... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Pan, K., Tangborn, A., Anderson, J. L., Santanello, J. A., Carroll, B. J., et al. (2025). Assimilation of Doppler lidar-derived planetary boundary layer height measurements using an ensemble Kalman filter: Case studies during the PECAN field campaign. Journal of Applied Meteorology and Climatology, doi:https://doi.org/10.1175/jamc-d-25-0029.1 This study investigates the assimilation of planetary boundary layer height (PBLH) data into a convective-permitting Weather Research and Forecasting (WRF) Model using the ensemble-based Data Assimilation Research Testbed (DART). We conduct... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Large‐eddy simulation of the spray‐laden hurricane boundary layer: I. Spray transport and statistics Richter, D. H., Bryan, G. H., Dennis, J. M., Sun, J., Mickelson, S.. (2025). Large‐eddy simulation of the spray‐laden hurricane boundary layer: I. Spray transport and statistics. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2025JD044054 For decades, theoretical, observational, numerical, and experimental efforts have sought to quantify the behavior of sea spray in the high-wind boundary layer. A persistent problem, however, is that it is notoriously difficult to examine sp... CISL Affiliations: ASAP Publication Genre: Article View on OpenSky |
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Santer, H., Poterjoy, J., Gharamti, M. E.. (2025). Innovation-based methods for online estimates of observation error variances within ensemble data assimilation cycles. Monthly Weather Review, doi:https://doi.org/10.1175/mwr-d-24-0242.1 Many data assimilation methods require knowledge of the first two moments of the background and observation errors to function optimally. To ensure the effective performance of such methods, it is often advantageous to estimate the second m... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Proceedings of the 2025 Improving Scientific Software Conference Fitzgerald, K., Sobhani, N., Vanderwende, B., Arabas, S., Bai, Z., et al. (2025). Proceedings of the 2025 Improving Scientific Software Conference. NCAR Technical Notes, doi:https://doi.org/10.5065/4w2k-ay60 The Software Engineering Assembly (SEA) is a loosely structured group of software engineers and scientists who write scientific software, mostly but not only at NCAR and mostly but not only in the field of atmospheric sciences. The mission ... CISL Affiliations: VAST, HPCD, CSG Publication Genre: Technical Report View on OpenSky |
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Jahan, I., Schreck, J. S., Gagne, D. J., Becker, C., Astitha, M.. (2025). Uncertainty quantification of wind gust predictions in the northeast United States: An evidential neural network and explainable artificial intelligence approach. Environmental Modelling & Software, doi:https://doi.org/10.1016/j.envsoft.2025.106595 Machine learning algorithms have shown promise in reducing bias in wind gust predictions, while still underpredicting high gusts. Uncertainty quantification (UQ) supports this issue by identifying when predictions are reliable or need cauti... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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Pouquet, A., Marino, R., Politano, H., Ponty, Y., Rosenberg, D.. (2025). Intermittency in fluid and magnetohydrodynamics (MHD) turbulence analyzed through the prism of moment scaling predictions of multifractal models. Nonlinear Processes in Geophysics, doi:https://doi.org/10.5194/npg-32-243-2025 In the presence of waves due, e.g., to gravity, rotation, or a quasi-uniform magnetic field, energy transfer timescales, spectra, and physical structures within turbulent flows differ from the fully developed fluid case, but some features r... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Model and observation-error covariance matrix information in the physical nudging equations Conti, G., Leeuwen, P. J. v., Anderson, J. L.. (2025). Model and observation-error covariance matrix information in the physical nudging equations. Quarterly Journal of the Royal Meteorological Society, doi:https://doi.org/10.1002/qj.4979 In this work we show how to extend the deterministic physical nudging scheme in order to include two important ingredients, the model and observation-error covariance matrices, which are common features of classical data-assimilation scheme... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Augmented MGS-CGS block-Arnoldi recycling solvers Thomas, S., Baker, A., Gaudreault, S.. (2025). Augmented MGS-CGS block-Arnoldi recycling solvers. Siam Journal on Scientific Computing, doi:https://doi.org/10.1137/23M1598544 The recycling of Krylov subspaces in iterative methods is a powerful strategy for reducing the computational burden of solving large-scale linear systems. However, traditional approaches often suffer from a loss of orthogonality among the b... CISL Affiliations: ASAP Publication Genre: Article View on OpenSky |
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Schreck, J. S., Sha, Y., Chapman, W., Kimpara, D., Berner, J., et al. (2025). Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling. npj Climate and Atmospheric Science, doi:https://doi.org/10.1038/s41612-025-01125-6 Recent advancements in artificial intelligence (AI) numerical weather prediction (NWP) have transformed atmospheric modeling. AI NWP models outperform state-of-the-art conventional NWP models like the European Center for Medium Range Weathe... CISL Affiliations: MILES, CISLVISITORS, CISLAODEPT, HPCD, CSG, HSS Publication Genre: Article View on OpenSky |
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Noh, Y., Chung, E., Choi, Y., Song, H., Raeder, K. D., et al. (2025). Application of the satellite-based spectral relationship to the vertical localization for the microwave humidity sounder in the Ensemble Kalman Filter. IEEE Transactions on Geoscience and Remote Sensing, doi:https://doi.org/10.1109/TGRS.2025.3575606 Localization is an essential technique to mitigate the sampling error in the ensemble Kalman filter (EnKF). In order to effectively use the localization function within the EnKF, the specific location information of observations being assim... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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The evaluation of hydroclimatic variables over Nordic Fennoscandia using WRF‐CTSM Mužić, I., Hodnebrog, Ø., Yilmaz, Y. A., Berntsen, T. K., Lawrence, D. M., et al. (2025). The evaluation of hydroclimatic variables over Nordic Fennoscandia using WRF‐CTSM. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2024JD043103 This study is the first to evaluate the state‐of‐the‐art coupled land‐atmosphere regional climate model WRF‐CTSM. It comprises the Weather Research and Forecasting model, WRF, and the Community Terrestrial Systems Model, CTSM (using a confi... CISL Affiliations: HPCD, CSG Publication Genre: Article View on OpenSky |
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Intermittency assessed through a model of kurtosis–skewness relation in MHD in fast dynamo regimes Ponty, Y., Politano, H., Pouquet, A.. (2025). Intermittency assessed through a model of kurtosis–skewness relation in MHD in fast dynamo regimes. Journal of Plasma Physics, doi:https://doi.org/10.1017/S0022377825000169 Intermittency as it occurs in fast dynamos in the magnetohydrodynamics (MHD) framework is evaluated through the examination of relations between normalized moments at third order (skewness $S$ ) and fourth order (kurtosis $K$ ) for both the... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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(Re)Conceptualizing trustworthy AI: A foundation for change Wirz, C. D., Demuth, J. L., Bostrom, A., Cains, M., Ebert-Uphoff, I., et al. (2025). (Re)Conceptualizing trustworthy AI: A foundation for change. Artificial Intelligence, doi:https://doi.org/10.1016/j.artint.2025.104309 Developers and academics have grown increasingly interested in developing “trustworthy” artificial intelligence (AI). However, this aim is difficult to achieve in practice, especially given trust and trustworthiness are complex, multifacete... CISL Affiliations: MILES Publication Genre: Article View on OpenSky |
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The ensemble consistency test: From CESM to MPAS and beyond Price-Broncucia, T., Baker, A., Hammerling, D., Duda, M. G., Morrison, R.. (2025). The ensemble consistency test: From CESM to MPAS and beyond. Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-18-2349-2025 The ensemble consistency test (ECT) and its ultrafast variant (UF-ECT) have become powerful tools in the development community for the identification of unwanted changes in the Community Earth System Model (CESM). By characterizing the dist... CISL Affiliations: ASAP Publication Genre: Article View on OpenSky |
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Model and observation‐error covariance matrix information in the physical nudging equations Conti, G., Leeuwen, P. J. v., Anderson, J. L.. (2025). Model and observation‐error covariance matrix information in the physical nudging equations. Quarterly Journal of the Royal Meteorological Society, doi:https://doi.org/10.1002/qj.4979 In this work we show how to extend the deterministic physical nudging scheme in order to include two important ingredients, the model and observation‐error covariance matrices, which are common features of classical data‐assimilation scheme... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Exploring bounded nonparametric ensemble filter impacts on sea ice Data Assimilation Riedel, C. P., Wieringa, M., Anderson, J. L.. (2025). Exploring bounded nonparametric ensemble filter impacts on sea ice Data Assimilation. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-24-0096.1 Standard ensemble Kalman filter algorithms have Gaussian assumptions built into their formulations. Gaussian assumptions make these algorithms susceptible to biased solutions when prior distributions or likelihoods are non-Gaussian. Sea ice... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Enhancing sub-seasonal soil moisture forecasts through land initialization Duan, Y., Kumar, S., Maruf, M., Kavoo, T. M., Rangwala, I., et al. (2025). Enhancing sub-seasonal soil moisture forecasts through land initialization. npj Climate and Atmospheric Science, doi:https://doi.org/10.1038/s41612-025-00987-0 We assess the relative contributions of land, atmosphere, and oceanic initializations to the forecast skill of root zone soil moisture (SM) utilizing the Community Earth System Model version 2 Sub to Seasonal climate forecast experiments (C... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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NAIRR pilot statistics and opportunities Hart, D. L.. (2025). NAIRR pilot statistics and opportunities. The NAIRR was established to provide researchers and educators with access to computing resources, data, educational tools, and other assets needed for AI research and development. It aims to democratize access to these resources, particula... CISL Affiliations: CISLAODEPT Publication Genre: Conference Material View on OpenSky |
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Spatial resolution for forest carbon maps Duncanson, L., Hunka, N., Jucker, T., Armston, J., Harris, N., et al. (2025). Spatial resolution for forest carbon maps. Science, doi:https://doi.org/10.1126/science.adt6811 Forests are central to climate solutions(1), and transparent and accurate data on forest carbon stocks and fluxes are critical for scientists and decision-makers. Satellite-based forest carbon maps have recently Incorporating measurements f... CISL Affiliations: DARES Publication Genre: Article View on OpenSky |
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Chapter 5: Why Has Walker’s Climate Research Stood the Test of Time? Katz, R.. (2025). Chapter 5: Why Has Walker’s Climate Research Stood the Test of Time?. , doi:https://doi.org/10.1142/9789811294808_0005 This chapter considers why Sir Gilbert Walker’s climate research has stood the test of time. Reasons include being skeptical about popular approaches such as “period-hunting” and instead relying on more statistically rigorous methods than c... CISL Affiliations: CISLAODEPT Publication Genre: Chapter View on OpenSky |
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A Statistical Investigation of the CESM Ensemble Consistency Testing Framework - Part II Molinari, S., Milroy, D., Hammerling, D.. (2024). A Statistical Investigation of the CESM Ensemble Consistency Testing Framework - Part II. NCAR Technical Notes, doi:http://doi.org/10.5065/y541-x174 Weather is the archetype for chaotic dynamical system. As such, improvements, updates, and modifications to large scale climate simulation demand there be quality checks in place to ensure that new climate simulations are consistent in thei... CISL Affiliations: CISLVISITORS Publication Genre: Technical Report View on OpenSky |
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Emard, K., Edgeley, C., Hazard, C. W., Sarna-Wojcicki, D., Cannon, W., et al. (2024). Connecting local ecological knowledge and Earth system models: Comparing three participatory approaches. Ecology and Society, doi:https://doi.org/10.5751/ES-15570-290443 In this article we analyze participatory approaches used in three research studies where local ecological knowledge (LEK) and Earth system models (ESMs) were combined to deepen our understanding of human-environment systems and produce usab... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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Spatiotemporal evolution of marine heatwaves globally Scannell, H. A., Cai, C., Thompson, L., Whitt, D., Gagne, D. J., et al. (2024). Spatiotemporal evolution of marine heatwaves globally. Journal of Atmospheric and Oceanic Technology, doi:https://doi.org/10.1175/JTECH-D-23-0126.1 The spatiotemporal evolution of marine heatwaves (MHWs) is explored using a tracking algorithm called Ocetrac that provides the objective characterization of MHW spatiotemporal evolution. Candidate MHW grid points are defined in detrended g... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Characterizing and communicating uncertainty: Lessons from NASA’s Carbon Monitoring System Kennedy, R. E., Serbin, S. P., Dietze, M. C., Andersen, H., Babcock, C., et al. (2024). Characterizing and communicating uncertainty: Lessons from NASA’s Carbon Monitoring System. Environmental Research Letters, doi:https://doi.org/10.1088/1748-9326/ad8be0 Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across sc... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Laskar, F. I., Pedatella, N. M., Codrescu, M. V., Eastes, R. W., Anderson, J. L.. (2024). Assessing the impacts of assimilating GOLD disk O/N2 observations on the thermosphere‐ionosphere system. Journal of Geophysical Research: Space Physics, doi:https://doi.org/10.1029/2024JA033163 The Global‐scale Observations of Limb and Disk (GOLD) imagers scan the Earth's Thermosphere‐Ionosphere (TI) in the far ultraviolet wavelengths. Measurements from GOLD daylit spectrum are used to retrieve the column integrated atomic oxygen ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Earth System Predictability Across Timescales Community Workshop Report Richter, J. H., Colegrove, D., Aponte, K. L., Bell, C., Davis, C. A., et al. (2024). Earth System Predictability Across Timescales Community Workshop Report. NCAR Technical Notes, doi:https://doi.org/10.5065/f4hy-2b23 As climate change increases the frequency and severity of extreme weather events, communities are facing growing vulnerability. Addressing this urgent challenge requires deepening our understanding of Earth system processes, uncertainties, ... CISL Affiliations: CISLAODEPT Publication Genre: Technical Report View on OpenSky |
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Wieringa, M., Riedel, C. P., Anderson, J. L., Bitz, C. M.. (2024). Bounded and categorized: Targeting data assimilation for sea ice fractional coverage and nonnegative quantities in a single-column multi-category sea ice model. The Cryosphere, doi:https://doi.org/10.5194/tc-18-5365-2024 A rigorous exploration of the sea ice data assimilation (DA) problem using a framework specifically developed for rapid, interpretable hypothesis testing is presented. In many applications, DA is implemented to constrain a modeled estimate ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Sanikommu, S., Raboudi, N., Gharamti, M. E., Zhan, P., Hadri, B., et al. (2024). Insights from very‐large‐ensemble data assimilation experiments with a high‐resolution general circulation model of the Red Sea. Quarterly Journal of the Royal Meteorological Society, doi:https://doi.org/10.1002/qj.4813 Ensemble Kalman Filters (EnKFs), which assimilate observations based on statistics derived from an ensemble of samples of ocean states, have become the norm for ocean data assimilation (DA) and forecasting. These schemes are commonly implem... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Efficient GMRES+AMG on GPUs: Composite smoothers and mixed V-cycles Thomas, S., Baker, A.. (2024). Efficient GMRES+AMG on GPUs: Composite smoothers and mixed V-cycles. Siam Journal on Scientific Computing, doi:https://doi.org/10.1137/23M1578632 In this study, we introduce algorithms optimized for GPU architectures, aimed at efficiently solving large sparse linear systems, a central challenge in Navier–Stokes pressure projection problems. Our approach includes an adaptation of the ... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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An implementation of the Particle Flow Filter in an Atmospheric Model Hu, C., Leeuwen, P. J. v., Anderson, J. L.. (2024). An implementation of the Particle Flow Filter in an Atmospheric Model. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-24-0006.1 The particle flow filter (PFF) shows promise for fully nonlinear data assimilation (DA) in high-dimensional systems. However, its application in atmospheric models has been relatively unexplored. In this study, we develop a new algorithm, P... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Pushing the frontiers in climate modelling and analysis with machine learning Eyring, V., Collins, W. D., Gentine, P., Barnes, E. A., Barreiro, M., et al. (2024). Pushing the frontiers in climate modelling and analysis with machine learning. Nature Climate Change, doi:https://doi.org/10.1038/s41558-024-02095-y Climate modelling and analysis are facing new demands to enhance projections and climate information. Here we argue that now is the time to push the frontiers of machine learning beyond state-of-the-art approaches, not only by developing ma... CISL Affiliations: TDD, MILES, CISLVISITORS Publication Genre: Article View on OpenSky |
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Huo, X., Fox, A. M., Dashti, H., Smith, W. K., Raczka, B., et al. (2024). Integrating state data assimilation and innovative model parameterization reduces simulated carbon uptake in the Arctic and boreal region. Journal of Geophysical Research: Biogeosciences, doi:https://doi.org/10.1029/2024JG008004 Model representation of carbon uptake and storage is essential for accurate projection of the response of the arctic‐boreal zone to a rapidly changing climate. Land model estimates of LAI and aboveground biomass that can have a marked influ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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On a structural similarity index approach for floating-point data Baker, A., Pinard, A., Hammerling, D. M.. (2024). On a structural similarity index approach for floating-point data. IEEE Transactions on Visualization and Computer Graphics, doi:https://doi.org/10.1109/TVCG.2023.3332843 Data visualization is typically a critical component of post-processing analysis workflows for floating-point output data from large simulation codes, such as global climate models. For example, images are often created from the raw data as... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Anderson, J. L., Riedel, C. P., Wieringa, M., Ishraque, F., Smith, M., et al. (2024). A quantile-conserving ensemble filter framework. Part III: Data assimilation for mixed distributions with application to a low-order tracer advection model. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-23-0255.1 The uncertainty associated with many observed and modeled quantities of interest in Earth system prediction can be represented by mixed probability distributions that are neither discrete nor continuous. For instance, a forecast probability... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Mayernik, M., Schuster, D. C., Clyne, J. P.. (2024). Innovations in Open Science (IOS) Planning Workshop: Community Expectations for a Geoscience Data Commons - Workshop Report. NCAR Technical Notes, doi:https://doi.org/10.5065/gfbq-8y08 The National Science Foundation Division of Atmospheric and Geospace Sciences (NSF-AGS) and the NSF National Center for Atmospheric Research (NSF NCAR) funded Innovations in Open Science (IOS) Planning Workshop: Community Expectations for a... CISL Affiliations: ISD, DECS, TDD, VAST Publication Genre: Technical Report View on OpenSky |
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A Climatology Analysis of Rain-on-Snow over the Arctic Ocean Cast, Z., Serreze, M., Cassano, E., Ameko, A., Hahn, L.. (2024). A Climatology Analysis of Rain-on-Snow over the Arctic Ocean. , doi:https://doi.org/10.5065/a6mx-9903 As the Arctic warms, rain-on-snow (ROS) events are likely to become more common and increase in severity. While past research has highlighted the impacts of ROS events over land, such as impacts on reindeer herding, the frequency, character... CISL Affiliations: CODE Publication Genre: Manuscript View on OpenSky |
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A Climatology Analysis of Rain-on-Snow over the Arctic Ocean Cast, Z., Serreze, M., Cassano, E., Ameko, A., Hahn, L.. (2024). A Climatology Analysis of Rain-on-Snow over the Arctic Ocean. , doi:https://doi.org/10.5065/a6mx-9903 As the Arctic warms, rain-on-snow (ROS) events are likely to become more common and increase in severity. While past research has highlighted the impacts of ROS events over land, such as impacts on reindeer herding, the frequency, character... CISL Affiliations: CODE Publication Genre: Unclassified View on OpenSky |
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Exploring NWS forecasters' assessment of AI guidance trustworthiness Cains, M., Wirz, C. D., Demuth, J. L., Bostrom, A., Gagne, D. J., et al. (2024). Exploring NWS forecasters' assessment of AI guidance trustworthiness. Weather and Forecasting, doi:https://doi.org/10.1175/WAF-D-23-0180.1 As artificial intelligence (AI) methods are increasingly used to develop new guidance intended for operational use by forecasters, it is critical to evaluate whether forecasters deem the guidance trustworthy. Past trust-related AI research ... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Gharamti, M. E., RafieeiNasab, A., McCreight, J.. (2024). Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction. Hydrology and Earth System Sciences, doi:https://doi.org/10.5194/hess-28-3133-2024 In the face of escalating instances of inland and flash flooding spurred by intense rainfall and hurricanes, the accurate prediction of rapid streamflow variations has become imperative. Traditional data assimilation methods face challenges... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Global variability in atmospheric new particle formation mechanisms Zhao, B., Donahue, N. M., Zhang, K., Mao, L., Shrivastava, M., et al. (2024). Global variability in atmospheric new particle formation mechanisms. Nature, doi:https://doi.org/10.1038/s41586-024-07547-1 A key challenge in aerosol pollution studies and climate change assessment is to understand how atmospheric aerosol particles are initially formed 1,2 . Although new particle formation (NPF) mechanisms have been described at specific sites ... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Emard, K., Cameron, O., Wieder, W., Lombardozzi, D., Morss, R. E., et al. (2024). Integrating farmers' perspectives into Earth System Model Development: Interviews with end users in the Willamette Valley, Oregon, to guide actionable science. Weather, Climate, and Society, doi:https://doi.org/10.1175/WCAS-D-23-0066.1 This paper analyzes findings from semistructured interviews and focus groups with 31 farmers in the Willamette Valley in which farmers were asked about their needs for climate data and about the usability of a range of outputs from the Comm... CISL Affiliations: HPCD, CSG Publication Genre: Article View on OpenSky |
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A machine learning-based approach to quantify ENSO sources of predictability Colfescu, I., Christensen, H., Gagne, D. J.. (2024). A machine learning-based approach to quantify ENSO sources of predictability. Geophysical Research Letters, doi:https://doi.org/10.1029/2023GL105194 A machine learning method is used to identify sources of long-term ENSO predictability in the ocean (sea surface temperature (SST) and heat content) and the atmosphere (near-surface zonal wind (U10)). Tropical SST represents the primary sou... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Report on the 2023 Workshop on Correctness and Reproducibility for Climate and Weather Software Altuntas, A., Baker, A., Carpenter, I., Dobbins, B., Duda, M. G., et al. (2024). Report on the 2023 Workshop on Correctness and Reproducibility for Climate and Weather Software. NCAR Technical Notes, doi:https://doi.org/10.5065/0534-mc88 A workshop on "Correctness and Reproducibility for Climate and Weather Software" was held on November 9-10, 2023, at the National Center for Atmospheric Research in Boulder, CO. This collaborative event brought together the NCAR application... CISL Affiliations: TDD, ASAP, CISLAODEPT Publication Genre: Technical Report View on OpenSky |
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Hsu, C., Matsuo, T., Kershaw, H., Dietrich, N., Smith, M., et al. (2024). A community Ionosphere-Thermosphere Observing System Simulation Experiment (OSSE) Tool: Geospace Dynamics Constellation example. Earth and Space Science, doi:https://doi.org/10.1029/2024EA003684 Observing System Simulation Experiments (OSSEs) provide an effective way to evaluate the impact of assimilating data from a specific observing system on hindcasting, nowcasting, and forecasting of environmental systems. The NSF NCAR's Data ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Wirz, C. D., Sutter, C., Demuth, J. L., Mayer, K., Chapman, W., et al. (2024). Increasing the reproducibility and replicability of supervised AI/ML in the Earth systems science by leveraging social science methods. Earth and Space Science, doi:https://doi.org/10.1029/2023EA003364 Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge is compounded in supervised models that depend on manually labeled training data, as they ... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Nonlinear and non-Gaussian ensemble assimilation of MOPITT CO Gaubert, B., Anderson, J. L., Trudeau, M., Smith, N., McKain, K., et al. (2024). Nonlinear and non-Gaussian ensemble assimilation of MOPITT CO. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2023JD040647 Satellite retrievals of carbon monoxide (CO) are routinely assimilated in atmospheric chemistry models to improve air quality forecasts, produce reanalyzes and to estimate emissions. This study applies the quantile-conserving ensemble filte... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Exploring non-Gaussian sea ice characteristics via observing system simulation experiments Riedel, C. P., Anderson, J. L.. (2024). Exploring non-Gaussian sea ice characteristics via observing system simulation experiments. The Cryosphere, doi:https://doi.org/10.5194/tc-18-2875-2024 The Arctic is warming at a faster rate compared to the globe on average, a phenomenon commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification and has gathered attention recently due to the decline in su... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Nonlinear and non-Gaussian ensemble assimilation of MOPITT CO Gaubert, B., Anderson, J. L., Trudeau, M., Smith, N., McKain, K., et al. (2024). Nonlinear and non-Gaussian ensemble assimilation of MOPITT CO. CISL Affiliations: TDD, DARES Publication Genre: Conference Material View on OpenSky |
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Yang, J. C., Bowling, D. R., Smith, K. R., Kunik, L., Raczka, B., et al. (2024). Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America. Agricultural and Forest Meteorology, doi:https://doi.org/10.1016/j.agrformet.2024.110054 Seasonal snow cover is important in shaping ecosystem carbon uptake across many regions of the world, however forest responses to projected declines in snowpack remain uncertain. We studied the response of forest gross primary productivity ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Bostrom, A., Demuth, J. L., Wirz, C. D., Cains, M., Schumacher, A., et al. (2024). Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences. Risk Analysis, doi:https://doi.org/10.1111/risa.14245 Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for trustworthy AI. In response, we adopt a convergent approach to review, evaluate, and synthes... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Leveraging NSF NCAR storage for CU Boulder research data replication Shaub, E., Armbruster, J., Baker, J., Earley, C., Elahi, I., et al. (2024). Leveraging NSF NCAR storage for CU Boulder research data replication. The University of Colorado Boulder Research Computing (CURC) and NSF NCAR established a partnership for offsite backup and disaster recovery of CURC's PetaLibrary data. Key aspects include data replication from CURC to NCAR's storage using ... CISL Affiliations: HPCD, HSG, HPCDSEC Publication Genre: Conference Material View on OpenSky |
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Snapp-Childs, W. G., Hart, D. L., Costa, C. M., Wernert, J. A., Jankowski, H. E., et al. (2024). Evaluating return on investment for cyberinfrastructure using the International Integrated Reporting This paper investigates the return on investment (ROI) in cyberinfrastructure (CI) facilities and services by comparing the value of end products created to the cost of operations. We assessed the cost of a US CI facility called XSEDE and t... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Five social and ethical considerations for using wildfire visualizations as a communication tool Edgeley, C. M., Cannon, W. H., Pearse, S., Kosović, B., Pfister, G., et al. (2024). Five social and ethical considerations for using wildfire visualizations as a communication tool. Fire Ecology, doi:https://doi.org/10.1186/s42408-024-00278-8 Background Increased use of visualizations as wildfire communication tools with public and professional audiences-particularly 3D videos and virtual or augmented reality-invites discussion of their ethical use in varied social and temporal ... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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From vision to evaluation: A metrics framework for the ACCESS allocations service Hart, D. L., Deems, S. L., Herriott, L. T.. (2024). From vision to evaluation: A metrics framework for the ACCESS allocations service. SN Computer Science, doi:https://doi.org/10.1007/s42979-024-02787-4 The Allocations Service for the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program is charged with accepting, reviewing, and processing researchers' requests to use resources that are integrated into th... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Last Glacial Maximum pattern effects reduce climate sensitivity estimates Cooper, V. T., Armour, K. C., Hakim, G. J., Tierney, J. E., Osman, M. B., et al. (2024). Last Glacial Maximum pattern effects reduce climate sensitivity estimates. Science Advances, doi:https://doi.org/10.1126/sciadv.adk9461 Here, we show that the Last Glacial Maximum (LGM) provides a stronger constraint on equilibrium climate sensitivity (ECS), the global warming from increasing greenhouse gases, after accounting for temperature patterns. Feedbacks governing E... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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NOAA's National Water Model: Advancing operational hydrology through continental-scale modeling Cosgrove, B., Gochis, D., Flowers, T., Dugger, A. L., Ogden, F., et al. (2024). NOAA's National Water Model: Advancing operational hydrology through continental-scale modeling. JAWRA Journal of the American Water Resources Association, doi:https://doi.org/10.1111/1752-1688.13184 The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS National Centers for Environmental Prediction (NCEP) implemented version 2.1 of the National W... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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Essential tools for predictability studies provided by the Data Assimilation Research Testbed Raeder, K. D., Anderson, J. L., Gharamti, M. E., Raczka, B., Johnson, B. K., et al. (2024). Essential tools for predictability studies provided by the Data Assimilation Research Testbed. CISL Affiliations: TDD, DARES Publication Genre: Conference Material View on OpenSky |
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Tang, W., Gaubert, B., Emmons, L. K., Ziskin, D., Mao, D. Y., et al. (2024). Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products. Atmospheric Measurement Techniques, doi:https://doi.org/10.5194/amt-17-1941-2024 The Measurements Of Pollution In The Troposphere (MOPITT) is an ideal instrument to understand the impact of (1) assimilating multispectral and joint retrievals versus single spectral products, (2) assimilating satellite profile products ve... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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NSF NCAR Data Stewardship Engineering Team - Common Repository Architecture Recommendations Schuster, D. C., Mayernik, M., Dattore, R. E., Gum, J., Strand, W. G., et al. (2024). NSF NCAR Data Stewardship Engineering Team - Common Repository Architecture Recommendations. The DSET organizing committee approved the formation of a DSET sponsored task team in Dec of 2023 to review existing practices for data management across NCAR's various repositories and determine if any commonalities exist. Based on the res... CISL Affiliations: ISD, DECS, SAGE Publication Genre: Manuscript View on OpenSky |
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Identifying and categorizing bias in AI/ML for Earth sciences McGovern, A., Bostrom, A., McGraw, M., Chase, R. J., Gagne, D. J., et al. (2024). Identifying and categorizing bias in AI/ML for Earth sciences. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-23-0196.1 Artificial intelligence (AI) can be used to improve performance across a wide range of Earth system prediction tasks. As with any application of AI, it is important for AI to be developed in an ethical and responsible manner to minimize bia... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Kunik, L., Bowling, D. R., Raczka, B., Frankenberg, C., Köhler, P., et al. (2024). Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California's Sierra Nevada mountains. Environmental Research Letters, doi:https://doi.org/10.1088/1748-9326/ad07b4 Robust carbon monitoring systems are needed for land managers to assess and mitigate the changing effects of ecosystem stress on western United States forests, where most aboveground carbon is stored in mountainous areas. Atmospheric carbon... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Empowering earth system science research: Federated data and compute for Earth system predictability Hauser, T.. (2023). Empowering earth system science research: Federated data and compute for Earth system predictability. CISL Affiliations: CISLAODEPT Publication Genre: Conference Material View on OpenSky |
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From vision to evaluation: A metrics framework for the ACCESS allocations service Hart, D. L., Deems, S., Herriott, L.. (2023). From vision to evaluation: A metrics framework for the ACCESS allocations service. CISL Affiliations: CISLAODEPT Publication Genre: Conference Material View on OpenSky |
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Cold fog amongst complex terrain Pu, Z., Pardyjak, E. R., Hoch, S. W., Gultepe, I., Hallar, A. G., et al. (2023). Cold fog amongst complex terrain. Bulletin of the American Meteorological Society (BAMS), doi:https://doi.org/10.1175/BAMS-D-22-0030.1 Cold fog forms via various thermodynamic, dynamic, and microphysical processes when the air temperature is less than 0°C. It occurs frequently during the cold season in the western United States yet is challenging to detect using standard o... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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What about model data? Best practices for preservation and replicability Schuster, D. C., Mayernik, M., Mullendore, G., Marquis, J. W.. (2023). What about model data? Best practices for preservation and replicability. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-22-0252.1 It has become common for researchers to make their data publicly available to meet the data management and accessibility requirements of funding agencies and scientific publishers. However, many researchers face the challenge of determining... CISL Affiliations: ISD, DECS Publication Genre: Article View on OpenSky |
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Cold fog amongst complex terrain Pu, Z., Pardyjak, E. R., Hoch, S. W., Gultepe, I., Hallar, A. G., et al. (2023). Cold fog amongst complex terrain. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-22-0030.1 Cold fog forms via various thermodynamic, dynamic, and microphysical processes when the air temperature is less than 0°C. It occurs frequently during the cold season in the western United States yet is challenging to detect using standard o... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Cold Fog Amongst Complex Terrain Pu, Z., Pardyjak, E. R., Hoch, S. W., Gultepe, I., Hallar, A. G., et al. (2023). Cold Fog Amongst Complex Terrain. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-22-0030.1 Cold fog forms via various thermodynamic, dynamic, and microphysical processes when the air temperature is less than 0°C. It occurs frequently during the cold season in the western United States yet is challenging to detect using standard o... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Lombardozzi, D., Wieder, W., Sobhani, N., Bonan, G. B., Durden, D., et al. (2023). Overcoming barriers to enable convergence research by integrating ecological and climate sciences: The NCAR-NEON system Version 1. Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-16-5979-2023 Global change research demands a convergence among academic disciplines to understand complex changes in Earth system function. Limitations related to data usability and computing infrastructure, however, present barriers to effective use o... CISL Affiliations: HPCD, CSG Publication Genre: Article View on OpenSky |
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Global scale inversions from MOPITT CO and MODIS AOD Gaubert, B., Edwards, D. P., Anderson, J. L., Arellano, A. F., Barré, J., et al. (2023). Global scale inversions from MOPITT CO and MODIS AOD. Remote Sensing, doi:https://doi.org/10.3390/rs15194813 Top-down observational constraints on emissions flux estimates from satellite observations of chemical composition are subject to biases and errors stemming from transport, chemistry and prior emissions estimates. In this context, we develo... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Kugler, L., Anderson, J. L., Weissmann, M.. (2023). Potential impact of all-sky assimilation of visible and infrared satellite observations compared with radar reflectivity for convective-scale numerical weather prediction. Quarterly Journal of the Royal Meteorological Society, doi:https://doi.org/10.1002/qj.4577 Although cloud-affected satellite observations are heavily used for nowcasting applications, their use in regional data assimilation is very limited despite possible benefits for convective-scale forecasts. In this article, we estimate the ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Anderson, J. L.. (2023). A quantile-conserving ensemble filter framework. Part II: Regression of observation increments in a probit and probability integral transformed space. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-23-0065.1 Traditional ensemble Kalman filter data assimilation methods make implicit assumptions of Gaussianity and linearity that are strongly violated by many important Earth system applications. For instance, bounded quantities like the amount of ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Klema, M., Venayagamoorthy, S. K., Pouquet, A., Rosenberg, D., Marino, R.. (2023). Effect of rotation on mixing efficiency in homogeneous stratified turbulence using unforced direct numerical simulations. Environmental Fluid Mechanics, doi:https://doi.org/10.1007/s10652-022-09869-y CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Convolutional neural network-based adaptive localization for an ensemble Kalman filter Wang, Z., Lei, L., Anderson, J. L., Tan, Z., Zhang, Y.. (2023). Convolutional neural network-based adaptive localization for an ensemble Kalman filter. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2023MS003642 Flow-dependent background error covariances estimated from short-term ensemble forecasts suffer from sampling errors due to limited ensemble sizes. Covariance localization is often used to mitigate the sampling errors, especially for high d... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Assimilation of the AMSU-A radiances using the CESM (v2.1.0) and the DART (v9.11.13)–RTTOV (v12.3) Noh, Y., Choi, Y., Song, H., Raeder, K. D., Kim, J., et al. (2023). Assimilation of the AMSU-A radiances using the CESM (v2.1.0) and the DART (v9.11.13)–RTTOV (v12.3). Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-16-5365-2023 To improve the initial condition ("analysis") for numerical weather prediction, we attempt to assimilate observations from the Advanced Microwave Sounding Unit-A (AMSU-A) on board the low-Earth-orbiting satellites. The data assimilation sys... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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How NCAR/UCAR teams have used artificial intelligence to advance Earth System Science Gagne, D. J.. (2023). How NCAR/UCAR teams have used artificial intelligence to advance Earth System Science. CISL Affiliations: TDD, MILES Publication Genre: Conference Material View on OpenSky |
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The Community Software Facility: An investment in software is an investment in science Mickelson, S., Hauser, T., Romine, G., OKeefe, T.. (2023). The Community Software Facility: An investment in software is an investment in science. CISL Affiliations: TDD, ASAP, CISLAODEPT Publication Genre: Conference Material View on OpenSky |
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Randall, D., Hurrell, J., Dazlich, D., Sun, L., Feder, A., et al. (2023). EarthWorks. EarthWorks is a five-year university-based project, supported by NSF/CISE, to develop a global convection-permitting coupled model based on the CESM with GPU capability for all components. CISL Affiliations: CISLAODEPT, TDD, ASAP Publication Genre: Conference Material View on OpenSky |
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Earth System Predictability and Prediction (ESPP) Judt, F., Berner, J., Richter, J. H., Simpson, I. R., Gaubert, B., et al. (2023). Earth System Predictability and Prediction (ESPP). CISL Affiliations: TDD, MILES, DARES Publication Genre: Conference Material View on OpenSky |
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North Atlantic subtropical mode water formation controlled by Gulf Stream fronts Gan, B., Yu, J., Wu, L., Danabasoglu, G., Small, R. J., et al. (2023). North Atlantic subtropical mode water formation controlled by Gulf Stream fronts. National Science Review, doi:https://doi.org/10.1093/nsr/nwad133 The North Atlantic Ocean hosts the largest volume of global subtropical mode waters (STMWs) in the world, which serve as heat, carbon and oxygen silos in the ocean interior. STMWs are formed in the Gulf Stream region where thermal fronts ar... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Pouquet, A., Rosenberg, D., Marino, R., Mininni, P.. (2023). Intermittency scaling for mixing and dissipation in Rotating Stratified Turbulence at the edge of instability. Atmosphere, doi:https://doi.org/10.3390/atmos14091375 Many issues pioneered by Jackson Herring deal with how nonlinear interactions shape atmospheric dynamics. In this context, we analyze new direct numerical simulations of rotating stratified flows with a large-scale forcing, which is either ... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy Haupt, S. E., Kosović, B., Berg, L. K., Kaul, C. M., Churchfield, M., et al. (2023). Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy. Wind Energy Science, doi:https://doi.org/10.5194/wes-8-1251-2023 The Mesoscale to Microscale Coupling team, part of the U.S. Department of Energy Atmosphere to Electrons (A2e) initiative, has studied various important challenges related to coupling mesoscale models to microscale models for the use case o... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Diagnosing storm mode with deep learning in convection-allowing models Sobash, R. A., Gagne, D. J., Becker, C., Ahijevych, D., Gantos, G., et al. (2023). Diagnosing storm mode with deep learning in convection-allowing models. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-22-0342.1 While convective storm mode is explicitly depicted in convection-allowing model (CAM) output, subjectively diagnosing mode in large volumes of CAM forecasts can be burdensome. In this work, four machine learning (ML) models were trained to ... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |