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.
| Publications (Showing 100 of 885 total) |
|---|
|
Wirz, C. D., Sutter, C., Demuth, J. L., Mayer, K. J., Chapman, W. E., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Emard, K., Cameron, O., Wieder, W. R., Lombardozzi, D. L., Morss, R., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Exploring non-Gaussian sea ice characteristics via observing system simulation experiments Riedel, C., Anderson, J.. (2024). Exploring non-Gaussian sea ice characteristics via observing system simulation experiments. The Cryosphere, doi: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 View on OpenSky |
|
Bostrom, A., Demuth, J. L., Wirz, C. D., Cains, M. G., Schumacher, A., et al. (2024). Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences. Risk Analysis, doi: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 View on OpenSky |
|
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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 ... CISL Affiliations: CISLAODEPT View on OpenSky |
|
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: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 View on OpenSky |
|
NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling Cosgrove, B., Gochis, D., Flowers, T., Dugger, A., 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: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 View on OpenSky |
|
Tang, W., Gaubert, B., Emmons, L., Ziskin, D., Mao, D., et al. (2024). Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products. Atmospheric Measurement Techniques, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
What about model data? Best practices for preservation and replicability Schuster, D. C., Mayernik, M. S., Mullendore, G. L., Marquis, J. W.. (2023). What about model data? Best practices for preservation and replicability. Bulletin of the American Meteorological Society, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Lombardozzi, D. L., Wieder, W. R., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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:10.1007/s10652-022-09869-y CISL Affiliations: CISLAODEPT View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Diagnosing storm mode with deep learning in convection-allowing models Sobash, R. A., Gagne, D. J., Becker, C. L., Ahijevych, D., Gantos, G. N., et al. (2023). Diagnosing storm mode with deep learning in convection-allowing models. Monthly Weather Review, doi: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 View on OpenSky |
|
Schreck, J. S., Petzke, W., Jiménez, P. A., 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: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 View on OpenSky |
|
Li, L., Žagar, N., Raeder, K., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Rejoinder on ‘saving storage in climate ensembles: A model-based stochastic approach’ Huang, H., Castruccio, S., Baker, A. H., Genton, M. G.. (2023). Rejoinder on ‘saving storage in climate ensembles: A model-based stochastic approach’. Journal of Agricultural, Biological and Environmental Statistics, doi: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 View on OpenSky |
|
Mimicking non-ideal instrument behavior for hologram processing using neural style translation Schreck, J. S., Hayman, M., Gantos, G., Bansemer, A., Gagne, D. J.. (2023). Mimicking non-ideal instrument behavior for hologram processing using neural style translation. Optics Express, doi: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 View on OpenSky |
|
Saving storage in climate ensembles: A model-based stochastic approach Huang, H., Castruccio, S., Baker, A. H., Genton, M. G.. (2023). Saving storage in climate ensembles: A model-based stochastic approach. Journal of Agricultural, Biological and Environmental Statistics, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Sun, J., Dennis, J. M., Mickelson, S. A., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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... View on OpenSky |
|
Enabling efficient execution of a variational data assimilation application Dennis, J. M., Baker, A. H., 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: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 View on OpenSky |
|
Nystrom, R. G., Snyder, C., Gharamti, M.. (2023). A one-step-ahead ensemble Kalman smoothing approach toward estimating the tropical cyclone surface-exchange coefficients. Monthly Weather Review, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
McClure, M. L., Hranac, C. R., Haase, C. G., McGinnis, S., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Schreck, J. S., Becker, C., Gagne, D. J., Lawrence, K., 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: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 View on OpenSky |
|
Neural network processing of holographic images Schreck, J. S., Gantos, G., Hayman, M., Bansemer, A., Gagne, D. J.. (2022). Neural network processing of holographic images. Atmospheric Measurement Techniques, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Yang, C., Maxwell, R. M., Valent, R.. (2022). Accelerating the Lagrangian simulation of water ages on distributed, multi-GPU platforms: The importance of dynamic load balancing. Computers & Geosciences, doi: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Muñoz‐Esparza, D., Becker, C., Sauer, J. A., II, D. J. G., Schreck, J., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Eroglu, O., Zacharias, A., Sizemore, M., Kootz, A., Craker, H., 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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
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: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 View on OpenSky |
|
Sha, Y., II, D. J. G., West, G., Stull, R.. (2022). A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts. Monthly Weather Review, doi: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 View on OpenSky |
|
Development of NCL equivalent serial and parallel python routines for meteorological data analysis Gharat, J., Kumar, B., Ragha, L., Barve, A., Jeelani, S. M., et al. (2022). Development of NCL equivalent serial and parallel python routines for meteorological data analysis. The International Journal of High Performance Computing Applications, doi:10.1177/10943420221077110 The NCAR Command Language (NCL) is a popular scripting language used in the geoscience community for weather data analysis and visualization. Hundreds of years of data are analyzed daily using NCL to make accurate weather predictions. Howev... CISL Affiliations: TDD, VAST View on OpenSky |
|
The history and practice of AI in the environmental sciences Haupt, S. E., Gagne, D. J., Hsieh, W. W., Krasnopolsky, V., McGovern, A., et al. (2022). The history and practice of AI in the environmental sciences. Bulletin of the American Meteorological Society, doi:10.1175/BAMS-D-20-0234.1 Artificial intelligence (AI) and machine learning (ML) have become important tools for environmental scientists and engineers, both in research and in applications. Although these methods have become quite popular in recent years, they are ... CISL Affiliations: TDD, MILES View on OpenSky |
|
A quantile-conserving ensemble filter framework. Part I: Updating an observed variable Anderson, J. L.. (2022). A quantile-conserving ensemble filter framework. Part I: Updating an observed variable. Monthly Weather Review, doi:10.1175/MWR-D-21-0229.1 A general framework for deterministic univariate ensemble filtering is presented. The framework fits a continuous prior probability density function (PDF) to the prior ensemble. A functional representation for the observation likelihood is ... CISL Affiliations: TDD, DARES View on OpenSky |
|
Characterizing the free-energy landscapes of DNA origamis Wong, C. K., Tang, C., Schreck, J. S., Doye, J. P. K.. (2022). Characterizing the free-energy landscapes of DNA origamis. Nanoscale, doi:10.1039/D1NR05716B We show how coarse-grained modelling combined with umbrella sampling using distance-based order parameters can be applied to compute the free-energy landscapes associated with mechanical deformations of large DNA nanostructures. We illustra... CISL Affiliations: TDD, AIML View on OpenSky |
|
Singh, T., Counillon, F., Tjiputra, J., Wang, Y., Gharamti, M. E.. (2022). Estimation of ocean biogeochemical parameters in an earth system model using the dual one step ahead smoother: A twin experiment. Frontiers in Marine Science, doi:10.3389/fmars.2022.775394 Ocean biogeochemical (BGC) models utilise a large number of poorly-constrained global parameters to mimic unresolved processes and reproduce the observed complex spatio-temporal patterns. Large model errors stem primarily from inaccuracies ... CISL Affiliations: TDD, DARES View on OpenSky |
|
A review of earth artificial intelligence Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., et al. (2022). A review of earth artificial intelligence. Computers & Geosciences, doi:10.1016/j.cageo.2022.105034 In recent years, Earth system sciences are urgently calling for innovation on improving accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in many subdomains amid the exponentially accumulated datasets an... CISL Affiliations: HPCD, HPCDSEC, CSG View on OpenSky |
|
Stettz, S. G., Parazoo, N. C., Bloom, A. A., Blanken, P. D., Bowling, D. R., et al. (2022). Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework. Biogeosciences, doi:10.5194/bg-19-541-2022 The flow of carbon through terrestrial ecosystems and the response to climate are critical but highly uncertain processes in the global carbon cycle. However, with a rapidly expanding array of in situ and satellite data, there is an opportu... CISL Affiliations: TDD, DARES View on OpenSky |
|
An informal introduction to numerical weather models with low-cost hardware Foust, W. E.. (2022). An informal introduction to numerical weather models with low-cost hardware. Bulletin of the American Meteorological Society, doi:10.1175/BAMS-D-20-0146.1 Weather, climate, and other Earth system models are growing in complexity as computing resources and technologies continue to evolve with time. Thus, models are and will remain a vital tool for scientific research. Exposure and education on... CISL Affiliations: CODE View on OpenSky |
|
The impact of assimilating COSMIC‐2 observations of electron density in WACCMX Pedatella, N. M., Anderson, J. L.. (2022). The impact of assimilating COSMIC‐2 observations of electron density in WACCMX. Journal of Geophysical Research: Space Physics, doi:10.1029/2021JA029906 The present study investigates the impact of assimilating electron density profiles from the Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) mission in a whole atmosphere data assimilation system. The ob... CISL Affiliations: TDD, DARES View on OpenSky |
|
Foster, D., II, D. J. G., Whitt, D. B.. (2021). Probabilistic machine learning estimation of ocean mixed layer depth from dense satellite and sparse in situ observations. Journal of Advances in Modeling Earth Systems, doi:10.1029/2021MS002474 The ocean mixed layer plays an important role in the coupling between the upper ocean and atmosphere across a wide range of time scales. Estimation of the variability of the ocean mixed layer is therefore important for atmosphere-ocean pred... CISL Affiliations: TDD, AIML View on OpenSky |
|
Yang, C. A., Diao, M., Gettelman, A., Zhang, K., Sun, J., et al. (2021). Ice and supercooled liquid water distributions over the southern ocean based on in situ observations and climate model simulations. Journal of Geophysical Research: Atmospheres, doi:10.1029/2021JD036045 Three climate models are evaluated using in situ airborne observations from the Southern Ocean Clouds, Radiation, Aerosol Transport Experimental Study (SOCRATES) campaign. The evaluation targets cloud phases, microphysical properties, therm... CISL Affiliations: TDD, ASAP View on OpenSky |
|
A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models Raeder, K., Hoar, T. J., El Gharamti, M., Johnson, B. K., Collins, N., et al. (2021). A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models. Scientific Reports, doi:10.1038/s41598-021-92927-0 An ensemble Kalman filter reanalysis has been archived in the Research Data Archive at the National Center for Atmospheric Research. It used a CAM6 configuration of the Community Earth System Model (CESM), several million observations per d... CISL Affiliations: TDD, DARES, HPCD, HPCDSEC, CSG View on OpenSky |
|
Hsu, C., Pedatella, N. M., Anderson, J. L.. (2021). Impact of thermospheric wind data assimilation on ionospheric electrodynamics using a coupled whole atmosphere data assimilation system. Journal of Geophysical Research: Space Physics, doi:10.1029/2021JA029656 The upward plasma drift and equatorial ionization anomaly (EIA) in the Earth's ionosphere are strongly influenced by the zonal electric field, which is generated by the wind dynamo. Specification and forecasting of thermospheric winds thus ... CISL Affiliations: TDD, DARES View on OpenSky |
|
Open science expectations for simulation-based research Mullendore, G. L., Mayernik, M. S., Schuster, D. C.. (2021). Open science expectations for simulation-based research. Frontiers in Climate, doi:10.3389/fclim.2021.763420 There is strong agreement across the sciences that replicable workflows are needed for computational modeling. Open and replicable workflows not only strengthen public confidence in the sciences, but also result in more efficient community ... CISL Affiliations: ISD, DECS View on OpenSky |
|
On preserving scientific integrity for climate model data in the HPC era Baker, A. H.. (2021). On preserving scientific integrity for climate model data in the HPC era. Computing in Science & Engineering, doi:10.1109/MCSE.2021.3119509 Over the last 30 years, the Computational Science Graduate Fellowship (CSGF) program has played an integral role in preparing a large and diverse community of computational scientists to push the limits of high-performance computing (HPC). ... CISL Affiliations: TDD, ASAP View on OpenSky |
|
Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges Kumar, B., Rehme, M., Suresh, N., Cherukuru, N., Jaroszynski, S., et al. (2021). Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges. Parallel Computing, doi:10.1016/j.parco.2021.102811 Entrainment and mixing processes occur during the entire life of a cloud. These processes change the droplet size distribution, which determines rain formation and radiative properties. Since it is a microphysical process, it cannot be reso... CISL Affiliations: TDD, VAST View on OpenSky |
|
Mathematical modeling of immune responses against SARS-CoV-2 using an ensemble Kalman filter Ghostine, R., Gharamti, M., Hassrouny, S., Hoteit, I.. (2021). Mathematical modeling of immune responses against SARS-CoV-2 using an ensemble Kalman filter. Mathematics, doi:10.3390/math9192427 In this paper, a mathematical model was developed to simulate SARS-CoV-2 dynamics in infected patients. The model considers both the innate and adaptive immune responses and consists of healthy cells, infected cells, viral load, cytokines, ... CISL Affiliations: TDD, DARES View on OpenSky |
|
Gharamti, M. E., McCreight, J. L., Noh, S. J., Hoar, T. J., RafieeiNasab, A., et al. (2021). Ensemble streamflow data assimilation using WRF-Hydro and DART: Novel localization and inflation techniques applied to Hurricane Florence flooding. Hydrology and Earth System Sciences, doi:10.5194/hess-25-5315-2021 Predicting major floods during extreme rainfall events remains an important challenge. Rapid changes in flows over short timescales, combined with multiple sources of model error, makes it difficult to accurately simulate intense floods. Th... CISL Affiliations: TDD, DARES View on OpenSky |
|
Molina, M. J., Gagne, D. J., Prein, A. F.. (2021). A benchmark to test generalization capabilities of deep learning methods to classify severe convective storms in a changing climate. Earth and Space Science, doi:10.1029/2020EA001490 This is a test case study assessing the ability of deep learning methods to generalize to a future climate (end of 21st century) when trained to classify thunderstorms in model output representative of the present-day climate. A convolution... CISL Affiliations: TDD, AIML View on OpenSky |
|
Jiang, P., Chen, X., Chen, K., Anderson, J., Collins, N., et al. (2021). DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters. Environmental Modelling & Software, doi:10.1016/j.envsoft.2021.105074 Ensemble-based Data Assimilation (EDA) has been effectively applied to estimate model parameters through inverse modeling in subsurface flow and transport problems. To facilitate the management of EDA workflow and lower the barriers for ado... CISL Affiliations: TDD, DARES View on OpenSky |
|
Raczka, B., Hoar, T. J., Duarte, H. F., Fox, A. M., Anderson, J. L., et al. (2021). Improving CLM5.0 biomass and carbon exchange across the Western United States using a data assimilation system. Journal of Advances in Modeling Earth Systems, doi:10.1029/2020MS002421 The Western United States is dominated by natural lands that play a critical role for carbon balance, water quality, and timber reserves. This region is also particularly vulnerable to forest mortality from drought, insect attack, and wildf... CISL Affiliations: TDD, DARES View on OpenSky |
|
The potential for geostationary remote sensing of NO2 to improve weather prediction Liu, X., Mizzi, A. P., Anderson, J. L., Fung, I., Cohen, R. C.. (2021). The potential for geostationary remote sensing of NO2 to improve weather prediction. Atmospheric Chemistry and Physics, doi:10.5194/acp-21-9573-2021 Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are obse... CISL Affiliations: CISLVISITORS, TDD, DARES View on OpenSky |
|
Stochastic kinetic treatment of protein aggregation and the effects of macromolecular crowding Bridstrup, J., Schreck, J. S., Jorgenson, J. L., Yuan, J.. (2021). Stochastic kinetic treatment of protein aggregation and the effects of macromolecular crowding. The Journal of Physical Chemistry B, doi:10.1021/acs.jpcb.1c00959 Investigation of protein self-assembly processes is important for understanding the growth processes of functional proteins as well as disease-causing amyloids. Inside cells, intrinsic molecular fluctuations are so high that they cast doubt... CISL Affiliations: TDD, AIML View on OpenSky |
|
Morrill, C., Thrasher, B., Lockshin, S. N., Gille, E. P., McNeill, S., et al. (2021). The Paleoenvironmental Standard Terms (PaST) thesaurus: Standardizing heterogeneous variables in paleoscience. Paleoceanography and Paleoclimatology, doi:10.1029/2020PA004193 Paleoscience data are extremely heterogeneous; hundreds of different types of measurements and reconstructions are routinely made by scientists on a variety of types of physical samples. This heterogeneity is one of the biggest barriers to ... CISL Affiliations: ISD, DASH View on OpenSky |
|
Deep-learning-based precipitation observation quality control Sha, Y., Gagne, D. J., West, G., Stull, R.. (2021). Deep-learning-based precipitation observation quality control. Journal of Atmospheric and Oceanic Technology, doi:10.1175/JTECH-D-20-0081.1 We present a novel approach for the automated quality control (QC) of precipitation for a sparse station observation network within the complex terrain of British Columbia, Canada. Our QC approach uses convolutional neural networks (CNNs) t... CISL Affiliations: TDD, AIML View on OpenSky |
|
Wang, Z., Zhang, T.Q., Tan, C.S., Xue, L., Bukovsky, M., et al. (2021). Modeling impacts of climate change on crop yield and phosphorus loss in a subsurface drained field of Lake Erie region, Canada. Agricultural Systems, doi:10.1016/j.agsy.2021.103110 Climate change is predicted to impose great pressures on crop yield and water quantity and quality. However, the connections among agriculture, climate condition, and water quality are supported by scant studies because of different scales ... CISL Affiliations: ISD, RISC View on OpenSky |
|
U.S. extreme precipitation weather types increased in frequency during the 20th century Prein, A. F., Mearns, L. O.. (2021). U.S. extreme precipitation weather types increased in frequency during the 20th century. Journal of Geophysical Research: Atmospheres, doi:10.1029/2020JD034287 Extreme precipitation has increased in frequency and intensity across the Conterminous U.S. (CONUS). This trend is expected to continue under future climate change. The cause is a combination of thermodynamic (i.e., warmer temperatures incr... CISL Affiliations: ISD, RISC View on OpenSky |
|
Building a climate service for North America based on the NA-CORDEX data archive McGinnis, S., Mearns, L.. (2021). Building a climate service for North America based on the NA-CORDEX data archive. Climate Services, doi:10.1016/j.cliser.2021.100233 The NA-CORDEX data archive contains output from regional climate models run over a domain covering most of North America using boundary conditions from reanalyses and global climate model simulations in the CMIP5 archive. These simulations ... CISL Affiliations: ISD View on OpenSky |
|
Estimating parameters in a sea ice model using an ensemble Kalman filter Zhang, Y., Bitz, C. M., Anderson, J. L., Collins, N. S., Hoar, T. J., et al. (2021). Estimating parameters in a sea ice model using an ensemble Kalman filter. The Cryosphere, doi:10.5194/tc-15-1277-2021 Uncertain or inaccurate parameters in sea ice models influence seasonal predictions and climate change projections in terms of both mean and trend. We explore the feasibility and benefits of applying an ensemble Kalman filter (EnKF) to esti... CISL Affiliations: TDD, DARES View on OpenSky |
|
Ghostine, R., Gharamti, M., Hassrouny, S., Hoteit, I.. (2021). An extended SEIR model with vaccination for forecasting the COVID-19 pandemic in Saudi Arabia using an Ensemble Kalman Filter. Mathematics, doi:10.3390/math9060636 In this paper, an extended SEIR model with a vaccination compartment is proposed to simulate the novel coronavirus disease (COVID-19) spread in Saudi Arabia. The model considers seven stages of infection: susceptible (S), exposed (E), infec... CISL Affiliations: TDD, DARES View on OpenSky |
|
Cloud-native repositories for big scientific data Abernathey, R. P., Augspurger, T., Banihirwe, A., Blackmon-Luca, C. C., Crone, T. J., et al. (2021). Cloud-native repositories for big scientific data. Computing in Science & Engineering, doi:10.1109/MCSE.2021.3059437 Scientific data have traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow toward the petabyte scale. A “cloud-native data repository,” ... CISL Affiliations: TDD, IOWA View on OpenSky |
|
Bukovsky, M. S., Gao, J., Mearns, L. O., O'Neill, B. C.. (2021). SSP‐based land‐use change scenarios: A critical uncertainty in future regional climate change projections. Earth's Future, doi:10.1029/2020EF001782 To better understand the role projected land-use changes (LUCs) may play in future regional climate projections, we assess the combined effects of greenhouse-gas (GHG)-forced climate change and LUCs in regional climate model (RCM) simulatio... CISL Affiliations: ISD, RISC View on OpenSky |
|
Assimilation of lidar planetary boundary layer height observations Tangborn, A., Demoz, B., Carroll, B. J., Santanello, J., Anderson, J. L.. (2021). Assimilation of lidar planetary boundary layer height observations. Atmospheric Measurement Techniques, doi:10.5194/amt-14-1099-2021 Lidar backscatter and wind retrievals of the planetary boundary layer height (PBLH) are assimilated into 22hourly forecasts from the NASA Unified - Weather and Research Forecast (NU-WRF) model during the Plains Elevated Convection at Night ... CISL Affiliations: TDD, DARES View on OpenSky |
|
An evaluation of the performance of the Twentieth Century Reanalysis version 3 Slivinski, L. C., Compo, G. P., Sardeshmukh, P. D., Whitaker, J. S., McColl, C., et al. (2021). An evaluation of the performance of the Twentieth Century Reanalysis version 3. Journal of Climate, doi:10.1175/JCLI-D-20-0505.1 The performance of a new historical reanalysis, the NOAA-CIRES-DOE Twentieth Century Reanalysis version 3 (20CRv3), is evaluated via comparisons with other reanalyses and independent observations. This dataset provides global, 3-hourly esti... CISL Affiliations: ISD, DECS View on OpenSky |
|
Machine learning the warm rain process Gettelman, A., Gagne, D. J., Chen, C., Christensen, M. W., Lebo, Z. J., et al. (2021). Machine learning the warm rain process. Journal of Advances in Modeling Earth Systems, doi:10.1029/2020MS002268 Clouds are critical for weather and climate prediction. The multiple scales of cloud processes make simulation difficult. Often models and measurements are used to develop empirical relationships for large-scale models to be computationally... CISL Affiliations: TDD, AIML View on OpenSky |