Toward Improved Solar Irradiance Forecasts: a Simulation of Deep Planetary Boundary Layer with Scattered Clouds Using the Weather Research and Forecasting Model

Chang Ki Kim, Michael Leuthold, William F. Holmgren, Alexander D Cronin, Eric Betterton

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Accurate forecasts of solar irradiance are required for electric utilities to economically integrate substantial amounts of solar power into their power generation portfolios. A common failing of numerical weather models is the prediction of scattered clouds at the top of deep PBL which are generally difficult to be resolved due to complicated processes in the planetary boundary layer. We improved turbulence parameterization for better predicting solar irradiance during the scattered clouds’ events using the Weather Research and Forecasting model. Sensitivity tests show that increasing the exchange coefficient leads to enhanced vertical mixing and a deeper mixed layer. At the top of mixed layer, an adiabatically ascending air parcel achieved the water vapor saturation and finally scattered cloud is generated.

Original languageEnglish (US)
Pages (from-to)637-655
Number of pages19
JournalPure and Applied Geophysics
Volume173
Issue number2
DOIs
StatePublished - Feb 1 2016

Keywords

  • exchange coefficient
  • scattered clouds
  • Solar irradiance
  • turbulence
  • Weather Research and Forecasting model

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

Fingerprint Dive into the research topics of 'Toward Improved Solar Irradiance Forecasts: a Simulation of Deep Planetary Boundary Layer with Scattered Clouds Using the Weather Research and Forecasting Model'. Together they form a unique fingerprint.

  • Cite this