CISL OpenSky Publications
Select a year and/or affiliation to see the peer-reviewed publications involving authors from CISL. The publications span data assimilation, machine learning, visualization, data analysis, model development, research computing operations, and data management services. You can view the full publications and search for specific publications in OpenSky, the open access repository of scholarly works developed and managed by the NSF NCAR Library.
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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. , doi:http://doi.org/10.5065/y541-x174 <p>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 t... CISL Affiliations: CISLVISITORS Publication Genre: Technical Report 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. , doi:https://doi.org/10.5065/f4hy-2b23 <p>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, uncertaintie... CISL Affiliations: CISLAODEPT Publication Genre: Technical Report 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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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 <p><span style="-webkit-text-stroke-width:0px;color:rgb(51, 51, 51);display:inline !important;float:none;font-family:Optima, sans-serif;font-size:20px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;... CISL Affiliations: TDD, VAST 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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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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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... 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 <p>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... CISL Affiliations: TDD, MILES, CISLVISITORS 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. , 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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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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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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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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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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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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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. , 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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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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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 ... 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 (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 ... 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 ... 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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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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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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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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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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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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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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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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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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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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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 |
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Re-curating DataCite at the NCAR Research Data Archive Dattore, R. E.. (2023). Re-curating DataCite at the NCAR Research Data Archive. CISL Affiliations: ISD, DECS Publication Genre: Conference Material View on OpenSky |
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The Inclusive Conferences Survey: Analysis and validation of inclusivity at HPC conferences Lauer, A., Galbraith, M. C., Wolff, M., Hart, D. L.. (2023). The Inclusive Conferences Survey: Analysis and validation of inclusivity at HPC conferences. PEARC '23: Practice and Experience in Advanced Research Computing, doi:https://doi.org/10.1145/3569951.3597580 As conferences and events take steps to welcome a broader range of people, it is important to accurately assess these efforts. We present and validate the Inclusive Conferences Survey, a tool to measure perceptions of a welcoming atmosphere... CISL Affiliations: CISLAODEPT Publication Genre: Chapter View on OpenSky |
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Proceedings of the 2023 Improving Scientific Software Conference Peterson, T., Vanderwende, B., Mickelson, S., Nusbaumer, J., Altuntas, A., et al. (2023). Proceedings of the 2023 Improving Scientific Software Conference. , doi:https://doi.org/10.5065/j0e4-ss70 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: CISLAODEPT, HPCD, CSG, TDD, ASAP Publication Genre: Technical Report View on OpenSky |
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Schreck, J. S., Petzke, W., Munoz, P. A. J., Brummet, T., Knievel, J. C., et al. (2023). Machine learning and VIIRS satellite retrievals for skillful Fuel Moisture Content monitoring in wildfire management. Remote Sensing, doi:https://doi.org/10.3390/rs15133372 Monitoring the fuel moisture content (FMC) of 10 h dead vegetation is crucial for managing and mitigating the impact of wildland fires. The combination of in situ FMC observations, numerical weather prediction (NWP) models, and satellite re... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Li, L., Žagar, N., Raeder, K. D., Anderson, J. L.. (2023). Comparison of temperature and wind observations in the Tropics in a perfect-model, global EnKF data assimilation system. Quarterly Journal of the Royal Meteorological Society, doi:https://doi.org/10.1002/qj.4511 Flow-dependent errors in tropical analyses and short-range forecasts are analysed using global observing-system simulation experiments assimilating only temperature, only winds, and both data types using the ensemble Kalman filter (EnKF) Da... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Overview of ICARUS-a curated, open access, online repository for atmospheric simulation chamber data Nguyen, T. B., Bates, K. H., Buenconsejo, R. S., Charan, S. M., Cavanna, E. E., et al. (2023). Overview of ICARUS-a curated, open access, online repository for atmospheric simulation chamber data. ACS Earth and Space Chemistry, doi:https://doi.org/10.1021/acsearthspacechem.3c00043 Atmospheric simulationchambers continue to be indispensable toolsfor research in the atmospheric sciences. Insights from chamber studiesare integrated into atmospheric chemical transport models, which areused for science-informed policy dec... CISL Affiliations: ISD, DECS, SAGE, DASH Publication Genre: Article View on OpenSky |
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Rejoinder on 'saving storage in climate ensembles: A model-based stochastic approach' Huang, H., Castruccio, S., Baker, A., Genton, M. G.. (2023). Rejoinder on 'saving storage in climate ensembles: A model-based stochastic approach'. Journal of Agricultural, Biological and Environmental Statistics, doi:https://doi.org/10.1007/s13253-023-00542-5 We thank all the discussants for their valuable comments. Throughout this rejoinder, we denote the discussants by D = Datta, P = Poppick, BA = Banerjee, BU = Burr, BUD = Bessac, Underwood and Di. We will also use the same acronyms as in the... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Mimicking non-ideal instrument behavior for hologram processing using neural style translation Schreck, J. S., Hayman, M., Gantos, G., Bansemer, A. R., Gagne, D. J.. (2023). Mimicking non-ideal instrument behavior for hologram processing using neural style translation. Optics Express, doi:https://doi.org/10.1364/OE.486741 Holographic cloud probes provide unprecedented information on cloud particle density, size and position. Each laser shot captures particles within a large volume, where images can be computationally refocused to determine particle size and ... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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McGovern, A., Gagne, D. J., Wirz, C. D., Ebert-Uphoff, I., Bostrom, A., et al. (2023). Trustworthy Artificial Intelligence for environmental sciences: An innovative approach for summer school. Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-22-0225.1 Many of our generation's most pressing environmental science problems are wicked problems, which means they cannot be cleanly isolated and solved with a single "correct" answer. (AI2ES) seeks to address such problems by developing synergist... CISL Affiliations: TDD, MILES, CISLAODEPT Publication Genre: Article View on OpenSky |
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Saving storage in climate ensembles: A model-based stochastic approach Huang, H., Castruccio, S., Baker, A., Genton, M. G.. (2023). Saving storage in climate ensembles: A model-based stochastic approach. Journal of Agricultural, Biological and Environmental Statistics, doi:https://doi.org/10.1007/s13253-022-00518-x While climate models are an invaluable tool for increasing our understanding and therefore, the predictability of the Earth's system for decades, their increase in complexity and resolution has put a considerable, growing strain on the comp... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Non-Gaussian ensemble filtering and adaptive inflation for soil moisture data assimilation Dibia, E. C., Reichle, R. H., Anderson, J. L., Liang, X.. (2023). Non-Gaussian ensemble filtering and adaptive inflation for soil moisture data assimilation. Journal of Hydrometeorology, doi:https://doi.org/10.1175/JHM-D-22-0046.1 The rank histogram filter (RHF) and the ensemble Kalman filter (EnKF) are assessed for soil moisture esti-mation using perfect model (identical twin) synthetic data assimilation experiments. The primary motivation is to gauge the impact on ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Improving vortex position accuracy with a new multiscale alignment ensemble filter Ying, Y., Anderson, J. L., Bertino, L.. (2023). Improving vortex position accuracy with a new multiscale alignment ensemble filter. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-22-0140.1 A multiscale alignment (MSA) ensemble filtering method was introduced by Ying to reduce nonlinear posi-tion errors effectively during data assimilation. The MSA method extends the traditional ensemble Kalman filter (EnKF) to update states f... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Sun, J., Dennis, J. M., Mickelson, S., Vanderwende, B., Gettelman, A., et al. (2023). Acceleration of the Parameterization of Unified Microphysics Across Scales (PUMAS) on the Graphics Processing Unit (GPU) With Directive-based methods. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2022MS003515 Cloud microphysics is one of the most time-consuming components in a climate model. In this study, we port the cloud microphysics parameterization in the Community Atmosphere Model (CAM), known as Parameterization of Unified Microphysics Ac... CISL Affiliations: TDD, ASAP, HPCD, CSG Publication Genre: Article View on OpenSky |
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Gettelman, A., Morrison, H., Eidhammer, T., Thayer-Calder, K., Sun, J., et al. (2023). Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1). Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-16-1735-2023 Cloud microphysics is critical for weather and climate prediction. In this work, we document updates and corrections to the cloud microphysical scheme used in the Community Earth System Model (CESM) and other models. These updates include a... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Zheng, Z., Fiore, A. M., Westervelt, D. M., Milly, G. P., Goldsmith, J., et al. (2023). Automated machine learning to evaluate the information content of tropospheric trace gas columns for fine particle estimates over India: A modeling testbed. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2022MS003099 India is largely devoid of high-quality and reliable on-the-ground measurements of fine particulate matter (PM2.5). Ground-level PM2.5 concentrations are estimated from publicly available satellite Aerosol Optical Depth (AOD) products combi... Publication Genre: Article View on OpenSky |
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Nystrom, R. G., Snyder, C., Gharamti, M. E.. (2023). A one-step-ahead ensemble Kalman smoothing approach toward estimating the tropical cyclone surface-exchange coefficients. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-22-0147.1 In this study, a one-step-ahead ensemble Kalman smoother (EnKS) is introduced for the purposes of parameter estimation. The potential for this system to provide new constraints on the surface-exchange coefficients of momentum (Cd) and entha... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Enabling efficient execution of a variational data assimilation application Dennis, J. M., Baker, A., Dobbins, B., Bell, M. M., Sun, J., et al. (2023). Enabling efficient execution of a variational data assimilation application. The International Journal of High Performance Computing Applications, doi:https://doi.org/10.1177/10943420221119801 Remote sensing observational instruments are critical for better understanding and predicting severe weather. Observational data from such instruments, such as Doppler radar data, for example, are often processed for assimilation into numer... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Stewart, C. A., Costa, C. M., Wernert, J. A., Snapp-Childs, W., Bland, M., et al. (2023). Use of accounting concepts to study research: Return on investment in XSEDE, a US cyberinfrastructure service. Scientometrics, doi:https://doi.org/10.1007/s11192-022-04539-8 This paper uses accounting concepts-particularly the concept of Return on Investment (ROI)-to reveal the quantitative value of scientific research pertaining to a major US cyberinfrastructure project (XSEDE-the eXtreme Science and Engineeri... CISL Affiliations: CISLAODEPT Publication Genre: Article View on OpenSky |
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Extending ensemble Kalman filter algorithms to assimilate observations with an unknown time offset Gorokhovsky, E., Anderson, J. L.. (2023). Extending ensemble Kalman filter algorithms to assimilate observations with an unknown time offset. Nonlinear Processes in Geophysics, doi:https://doi.org/10.5194/npg-30-37-2023 Data assimilation (DA), the statistical combination ofcomputer models with measurements, is applied in a variety of scientificfields involving forecasting of dynamical systems, most prominently inatmospheric and ocean sciences. The existenc... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Chan, M., Chen, X., Anderson, J. L.. (2023). The potential benefits of handling mixture statistics via a bi-Gaussian EnKF: Tests with all-sky satellite infrared radiances. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2022MS003357 The meteorological characteristics of cloudy atmospheric columns can be very different from their clear counterparts. Thus, when a forecast ensemble is uncertain about the presence/absence of clouds at a specific atmospheric column (i.e., s... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Raeder, K. D., Gharamti, M. E., Johnson, B. K., Kershaw, H., Huo, X., et al. (2023). The latest from the data assimilation research testbed: Powerful new assimilation algorithms, advances in efficiency and capabilities, new model and observation interfaces, and novel results. CISL Affiliations: TDD, DARES Publication Genre: Conference Material View on OpenSky |
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Global ensemble chemical data assimilation with the Data Assimilation Research Testbed (DART) Gaubert, B., Worden, H. M., Emmons, L. K., Tang, W., Ortega, I., et al. (2023). Global ensemble chemical data assimilation with the Data Assimilation Research Testbed (DART). Atmospheric Carbon Monoxide (CO) is an important trace gas in tropospheric chemistry through its impact on the oxidizing capacity, as a precursor of ozone, and as a good tracer of combustion from both anthropogenic sources and wildfires. Th... CISL Affiliations: TDD, DARES Publication Genre: Conference Material View on OpenSky |
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A CESM+DART atmospheric reanalysis for forcing ocean, land, and other surface models Raeder, K. D., Anderson, J. L., Gharamti, M. E., Kershaw, H., Raczka, B., et al. (2023). A CESM+DART atmospheric reanalysis for forcing ocean, land, and other surface models. CISL Affiliations: TDD, DARES, CISLVISITORS Publication Genre: Conference Material View on OpenSky |
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Dashti, H., Smith, W. K., Huo, X., Fox, A. M., Javadian, M., et al. (2023). Underestimation of the impact of land cover change on the biophysical environment of the Arctic and boreal region of North America. Environmental Research Letters, doi:https://doi.org/10.1088/1748-9326/ac8da7 The Arctic and Boreal Region (ABR) is subject to extensive land cover change (LCC) due to elements such as wildfire, permafrost thaw, and shrubification. The natural and anthropogenic ecosystem transitions (i.e. LCC) alter key ecosystem cha... CISL Affiliations: CISLVISITORS Publication Genre: Article View on OpenSky |
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The GUARDIAN system: A GNSS upper atmospheric real-time disaster information and alert network Martire, L., Krishnamoorthy, S., Vergados, P., Romans, L. J., Szilágyi, B., et al. (2023). The GUARDIAN system: A GNSS upper atmospheric real-time disaster information and alert network. GPS Solutions, doi:https://doi.org/10.1007/s10291-022-01365-6 We introduce GUARDIAN, a near-real-time (NRT) ionospheric monitoring software for natural hazards warning. GUARDIAN's ultimate goal is to use NRT total electronic content (TEC) time series to (1) allow users to explore ionospheric TEC pertu... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Automated design of 3D DNA origami with non-rasterized 2D curvature Fu, D., Narayanan, R. P., Prasad, A., Zhang, F., Williams, D., et al. (2022). Automated design of 3D DNA origami with non-rasterized 2D curvature. Science Advances, doi:https://doi.org/10.1126/sciadv.ade4455 Improving the precision and function of encapsulating three-dimensional (3D) DNA nanostructures via curved geometries could have transformative impacts on areas such as molecular transport, drug delivery, and nanofabrication. However, the a... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Raeder, K. D., Anderson, J. L., Gharamti, M. E., Kershaw, H., Raczka, B., et al. (2022). The latest from the Data Assimilation Research Testbed: New algorithms for non-gaussian distributions and sampling errors; new memory management for larger models and faster execution; new model and o. CISL Affiliations: TDD, DARES Publication Genre: Conference Material View on OpenSky |
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Blending TAC and BUFR marine in situ data for ICOADS near-real-time release 3.0.2 Liu, C., Freeman, E., Kent, E. C., Berry, D. I., Worley, S. J., et al. (2022). Blending TAC and BUFR marine in situ data for ICOADS near-real-time release 3.0.2. Journal of Atmospheric and Oceanic Technology, doi:https://doi.org/10.1175/JTECH-D-21-0182.1 This paper describes the new International Comprehensive Ocean-Atmosphere Data Set (ICOADS) near-real-time (NRT) release (R3.0.2), with greatly enhanced completeness over the previous version (R3.0.1). R3.0.1 had been operationally produced... CISL Affiliations: ISD, DECS Publication Genre: Article View on OpenSky |
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McClure, M. L., Hranac, C. R., Haase, C. G., McGinnis, S. A., Dickson, B. G., et al. (2022). Projecting the compound effects of climate change and white-nose syndrome on North American bat species. Climate Change Ecology, doi:https://doi.org/10.1016/j.ecochg.2021.100047 Climate change and disease are threats to biodiversity that may compound and interact with one another in ways that are difficult to predict. White-nose syndrome (WNS), caused by a cold-loving fungus (Pseudogymnoascus destructans), has had ... CISL Affiliations: ISD Publication Genre: Article View on OpenSky |
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Machine learning for improving surface-layer-flux estimates McCandless, T., Gagne, D. J., Kosović, B., Haupt, S. E., Yang, B., et al. (2022). Machine learning for improving surface-layer-flux estimates. Boundary-Layer Meteorology, doi:https://doi.org/10.1007/s10546-022-00727-4 Flows in the atmospheric boundary layer are turbulent, characterized by a large Reynolds number, the existence of a roughness sublayer and the absence of a well-defined viscous layer. Exchanges with the surface are therefore dominated by tu... CISL Affiliations: TDD, AIML Publication Genre: Article View on OpenSky |
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Schreck, J. S., Becker, C., Gagne, D. J., Wilde, K. L., Wang, S., et al. (2022). Neural network emulation of the formation of organic aerosols based on the explicit GECKO-A chemistry model. Journal of Advances in Modeling Earth Systems, doi:https://doi.org/10.1029/2021MS002974 Secondary organic aerosols (SOA) are formed from oxidation of hundreds of volatile organic compounds (VOCs) emitted from anthropogenic and natural sources. Accurate predictions of this chemistry are key for air quality and climate studies d... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Neural network processing of holographic images Schreck, J. S., Gantos, G., Hayman, M., Bansemer, A. R., Gagne, D. J.. (2022). Neural network processing of holographic images. Atmospheric Measurement Techniques, doi:https://doi.org/10.5194/amt-15-5793-2022 HOLODEC, an airborne cloud particle imager, captures holographic images of a fixed volume of cloud to characterize the types and sizes of cloud particles, such as water droplets and ice crystals. Cloud particle properties include position, ... CISL Affiliations: TDD, MILES, AIML Publication Genre: Article View on OpenSky |
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Stochastic kinetic study of protein aggregation and molecular crowding effects of Aβ40 and Aβ42 Bridstrup, J., Yuan, J., Schreck, J. S.. (2022). Stochastic kinetic study of protein aggregation and molecular crowding effects of Aβ40 and Aβ42. Journal of the Chinese Chemical Society, doi:https://doi.org/10.1002/jccs.202200365 Two isoforms of beta-amyloid peptides, A beta 40 and A beta 42, differ from each other only in the last two amino acids, IA, at the end of A beta 42. They, however, differ significantly in their ability in inducing Alzheimer's disease (AD).... CISL Affiliations: TDD, AIML Publication Genre: Article View on OpenSky |
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Zhang, S., Zhang, K., Wan, H., Sun, J.. (2022). Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects. Geoscientific Model Development, doi:https://doi.org/10.5194/gmd-15-6787-2022 A previous study on the use of nudging in E3SM Atmosphere Model version 1 (EAMv1) had an unresolved issue; i.e., a simulation nudged to EAMv1's own meteorology showed non-negligible deviations from the free-running baseline simulation over ... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Proceedings of the 2022 Improving Scientific Software Conference Hu, W., Vanderwende, B., Mickelson, S., Nusbaumer, J., Acharya, N., et al. (2022). Proceedings of the 2022 Improving Scientific Software Conference. , doi:https://doi.org/10.5065/98kd-b491 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: HPCD, HPCDSEC, CSG, TDD, ASAP, CISLAODEPT Publication Genre: Technical Report View on OpenSky |
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Gioacchino, A. D., Procyk, J., Molari, M., Schreck, J. S., Zhou, Y., et al. (2022). Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. PLoS Computational Biology, doi:https://doi.org/10.1371/journal.pcbi.1010561 Selection protocols such as SELEX, where molecules are selected over multiple rounds for their ability to bind to a target of interest, are popular methods for obtaining binders for diagnostic and therapeutic purposes. We show that Restrict... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |
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Yang, C., Maxwell, R. M., Valent, R. A.. (2022). Accelerating the Lagrangian simulation of water ages on distributed, multi-GPU platforms: The importance of dynamic load balancing. Computers & Geosciences, doi:https://doi.org/10.1016/j.cageo.2022.105189 Water age is a fundamental descriptor of the source, storage, and mixing of water in watersheds. The Lagrangian, particle tracking, approach is a powerful tool for physically-based modeling of water age distributions, but its application ha... CISL Affiliations: HPCD, HPCDSEC, CSG Publication Genre: Article View on OpenSky |
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Muñoz-Esparza, D., Becker, C., Sauer, J., Gagne, D. J., Schreck, J. S., et al. (2022). On the application of an observations-based machine learning parameterization of surface layer fluxes within an atmospheric large-eddy simulation model. Journal of Geophysical Research: Atmospheres, doi:https://doi.org/10.1029/2021JD036214 Recently, machine learning techniques have been employed to develop improved models for predicting surface-layer fluxes of momentum, heat and moisture based on field observations. Herein we explore refinement to these models, in particular ... CISL Affiliations: TDD, AIML Publication Genre: Article View on OpenSky |
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Fox, A. M., Huo, X., Hoar, T. J., Dashti, H., Smith, W. K., et al. (2022). Assimilation of global satellite leaf area estimates reduces modeled global carbon uptake and energy loss by terrestrial ecosystems. Journal of Geophysical Research: Biogeosciences, doi:https://doi.org/10.1029/2022JG006830 Carbon, water and energy exchange between the land and atmosphere controls how ecosystems either accelerate or ameliorate the effect of climate change. However, evaluating improvements to processes controlling carbon cycling, water use and ... CISL Affiliations: TDD, DARES Publication Genre: Article View on OpenSky |
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Cherukuru, N., Bailey, D. A., Fourment, T., Hatheway, R. L., Holland, M. M., et al. (2022). Beyond visuals: Examining the experiences of geoscience professionals with vision disabilities in accessing data visualizations. Proceedings of IEEE VIS 2022: Visualization & Visual Analytics Data visualizations are ubiquitous in all disciplines and have become the primary means of analysing data and communicating insights. However, the predominant reliance on visual encoding of data con-tinues to create accessibility barriers f... CISL Affiliations: TDD, VAST Publication Genre: Chapter View on OpenSky |
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Zhang, K., Zhang, W., Wan, H., Rasch, P. J., Ghan, S. J., et al. (2022). Effective radiative forcing of anthropogenic aerosols in E3SM version 1: Historical changes, causality, decomposition, and parameterization sensitivities. Atmospheric Chemistry and Physics, doi:https://doi.org/10.5194/acp-22-9129-2022 The effective radiative forcing of anthropogenic aerosols (ERFaer) is an important measure of the anthropogenic aerosol effects simulated by a global climate model. Here we analyze ERFaer simulated by the E3SM version 1 (E3SMv1) atmospheric... CISL Affiliations: TDD, ASAP Publication Genre: Article View on OpenSky |
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Eroglu, O., Zacharias, A., Sizemore, M., Kootz, A., Craker, H. R., et al. (2022). The Geoscience Community Analysis Toolkit: An open development, community driven toolkit in the scientific Python ecosystem. Proceedings of the 21st Python in Science Conference (SciPy 2022), doi:https://doi.org/10.25080/majora-212e5952-01c The Geoscience Community Analysis Toolkit (GeoCAT) team develops and maintains data analysis and visualization tools on structured and unstructured grids for the geosciences community in the Scientific Python Ecosystem (SPE). In response to... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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Hart, D. L., Wernert, J., Chalker, A., Smallen, S., Samuel, T., et al. (2022). Measuring XSEDE: Usage Metrics for the XSEDE Federation of Resources: A comparison of evolving resource usage patterns across TeraGrid and XSEDE. PEARC '22: Practice and Experience in Advanced Research Computing, doi:https://doi.org/10.1145/3491418.3530765 The Extreme Science and Engineering Discovery Environment (XSEDE) program and its predecessor, the TeraGrid, have provided a range of advanced computing resources to the U.S. research community for nearly two decades. The continuously colle... CISL Affiliations: CISLAODEPT Publication Genre: Chapter View on OpenSky |
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McGovern, A., Bostrom, A., Davis, P., Demuth, J. L., Ebert-Uphoff, I., et al. (2022). NSF AI institute for research on trustworthy AI in weather, climate, and coastal oceanography (AI2ES). Bulletin of the American Meteorological Society, doi:https://doi.org/10.1175/BAMS-D-21-0020.1 We introduce the National Science Foundation (NSF) AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). This AI institute was funded in 2020 as part of a new initiative from the NSF to advance f... CISL Affiliations: TDD, AIML Publication Genre: Article View on OpenSky |
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Lei, F., Senyurek, V., Kurum, M., Gurbuz, A. C., Boyd, D., et al. (2022). Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Remote Sensing of Environment, doi:https://doi.org/10.1016/j.rse.2022.113041 Global soil moisture mapping at high spatial and temporal resolution is important for various meteorological, hydrological, and agricultural applications. Recent research shows that the land surface reflection in the forward direction of Gl... CISL Affiliations: TDD, VAST Publication Genre: Article View on OpenSky |
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Sha, Y., Gagne, D. J., West, G., Stull, R.. (2022). A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts. Monthly Weather Review, doi:https://doi.org/10.1175/MWR-D-21-0154.1 An ensemble precipitation forecast postprocessing method is proposed by hybridizing the analog ensemble (AnEn), minimum divergence Schaake shuffle (MDSS), and convolutional neural network (CNN) methods. This AnEn-CNN hybrid takes the ensemb... CISL Affiliations: TDD, MILES Publication Genre: Article View on OpenSky |