skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Preprocessing WRF initial conditions for coastal stratocumulus forecasting

Authors:
;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1341217
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Solar Energy
Additional Journal Information:
Journal Volume: 133; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-03 21:30:44; Journal ID: ISSN 0038-092X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Yang, Handa, and Kleissl, Jan. Preprocessing WRF initial conditions for coastal stratocumulus forecasting. United States: N. p., 2016. Web. doi:10.1016/j.solener.2016.04.003.
Yang, Handa, & Kleissl, Jan. Preprocessing WRF initial conditions for coastal stratocumulus forecasting. United States. doi:10.1016/j.solener.2016.04.003.
Yang, Handa, and Kleissl, Jan. 2016. "Preprocessing WRF initial conditions for coastal stratocumulus forecasting". United States. doi:10.1016/j.solener.2016.04.003.
@article{osti_1341217,
title = {Preprocessing WRF initial conditions for coastal stratocumulus forecasting},
author = {Yang, Handa and Kleissl, Jan},
abstractNote = {},
doi = {10.1016/j.solener.2016.04.003},
journal = {Solar Energy},
number = C,
volume = 133,
place = {United States},
year = 2016,
month = 8
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.solener.2016.04.003

Citation Metrics:
Cited by: 1work
Citation information provided by
Web of Science

Save / Share:
  • Large-eddy simulations are used to study the influence of drizzle on stratocumulus organization, based on measurements made as part of the Second Dynamics and Chemistry of the Marine Stratocumulus field study-II. Cloud droplet number concentration ( N c) is prescribed and considered as the proxy for different aerosol loadings. Our study shows that the amount of cloudiness does not decrease linearly with precipitation rate. An N c threshold is observed below which the removal of cloud water via precipitation efficiently reduces cloud depth, allowing evaporation to become efficient and quickly remove the remaining thin clouds, facilitating a fast transition frommore » closed cells to open cells. Using Fourier analysis, stratocumulus length scales are found to increase with drizzle rates. Raindrop evaporation below 300 m lowers the cloud bases and amplifies moisture variances in the subcloud layer, while it does not alter the horizontal scales in the cloud layer, suggesting that moist cold pool dynamic forcings are not essential for mesoscale organization of stratocumulus. Furthermore, the cloud scales are greatly increased when the boundary layer is too deep to maintain well mixed.« less
  • Current techniques for forecasting carbon dioxide corrosion of steels are considered. Estimates based on these techniques are shown to differ from the corrosion data for the real pipelines of the oil-collecting system (OCS) of the Samotlor oil field. A forecasting scheme is proposed taking into account the dependence of the steel corrosion rate on the formation of mineral salt deposits on the corroded surface. The rate of local carbon dioxide corrosion under conditions of salt deposit formation is evaluated on the basis of histograms of the corrosion rate distribution for steel specimens exposed in the OCS pipelines. A good coincidencemore » of the forecast with the actual corrosion rate is reported.« less
  • In this paper, an extended logistic model with varying asymptotic upper bound for long range peak demand forecasting is described. The developed model is applied to the critical forecasting problem in fast growing areas. The forecasts are compared with actual demands and with those obtained from classical forecasting methods.