The hindcast skill of the CMIP ensembles for the surface air temperature trend
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Koichi Sakaguchi↗
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Results for “Trend”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Simulated Trends in Ionosphere‐Thermosphere Climate Due to Predicted Main Magnetic Field Changes From 2015 to 2065
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I. Cnossen↗
Climate drivers and human impacts shape 35‐year trends of coastal wetland health and composition in an urban region
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Cheryl L. Doughty↗
Biomass Ex-Situ CFP Catalyst Design: A Mo2C Case Study to Evaluate if Trends in Model Compound Reactivity Translate to Real Biomass Feeds
Pyrolysis of biomass generates hundreds of molecules with different functional groups; water, char and inorganics are also produced. In general, new catalysts are evaluated with single model compounds.
biofuels↗
Clear Sky Irradiance Year-to-Year Variations and Trends: Preprint
Solar radiation data for seven SURFRAD stations for the period 1996-2018 show an increase in irradiance under clear skies over time, with an interannual variability of the increase. A popular implementation of a clear sky model provided modeled irradiances for comparison with the SURFRAD data under conditions screened for clear skies. The use of the clear sky model, which did not consider year-to-year variances in atmospheric turbidity, was found problematic for resolving small changes in irradiance important for determining PV system degradation over three or five years, but less problematic for a period of ten years.
41 EE - Solar Energy Technologies Office (EE-4S)↗
Optimizing prediction of reservoir properties with artificial intelligence, big data, and the Subsurface Trend Analysis method
Presented by LRST at the Machine Learning in Oil and Gas Conference, 11/9
Mark-Moser, Mackenzie K.↗
Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data.
Abstract not provided.
Multari, Rosalie A↗
Non-linear Thermal Resistance Trend with Increasing Bilayer Density.
Abstract not provided.
McClure, Zach↗
Opportunities and Trends for Energy Storage Plus Solar in CAISO: 2014-2018.
Abstract not provided.
Byrne, Raymond H.↗
Metrics trends and capabilities for evaluating hydrogen effects in metals.
Abstract not provided.
San Marchi, Christopher W.↗
Optimizing Prediction of Reservoir Properties with Artificial Intelligence, Big Data, and the Subsurface Trend Analysis Method
Machine Learning in Oil and Gas Conference, Virtual, November 9-11, 2020
Mark-Moser, Mackenzie K.↗
Opportunities and Trends for Energy Storage Plus Solar in the CAISO Real-Time Market: 2014-2018.
Abstract not provided.
Byrne, Raymond H.↗
Opportunities and Trends for Energy Storage Plus Solar in CAISO: 2014-2018.
Abstract not provided.
Byrne, Raymond H.↗
Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data.
Abstract not provided.
Multari, Rosalie A↗
Multifidelity Strategies in UQ: an overview on some recent trends in sampling based approaches.
Abstract not provided.
Geraci, Gianluca↗
Evaluation of climate model aerosol trends with ground-based observations over the last 2 decades – an AeroCom and CMIP6 analysis
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54 ENVIRONMENTAL SCIENCES↗
A Holistic View of Memory Utilization on HPC Systems:Current and Future Trends
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Computer science↗
Datamining Analysis of Rare Earth Element Recovery Research Trends - A Path Forward with Functionalized Silica Sorbents
38th Annual International Pittsburgh Coal Conference, Virtual, September 20-23, 2021
Wilfong, Walter C.↗