Solar GHI Ensemble Prediction Based on a Meteorological Model and Method Kalman Filter

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Input data</td><td class="align_center">JMA GSM-JP (3-hourly, 0.2° × 0.25°) NCEP GFS (3-hourly, 0.5° × 0.5°)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Vertical layer</td><td class="align_center">50 levels (surface to 100 hPa)</td></tr><tr><td class="align_left">Nesting</td><td class="align_center">2-way nesting</td></tr><tr><td class="align_left">Domain</td><td class="align_center">Domain 1, D01 (18 km, 120 × 110 grids), domain 2, D02 (6 km, 130 × 130 grids), and domain 3, D03 (2 km, 160 × 229 grids)</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">Physical options</td><td class="align_center">Mellor-Yamada-Janjic PBL parameterization Betts-Miller-Janjic cumulus parameterization WSM 6-class graupel scheme Dudhia short wave radiation scheme RRTM long wave radiation scheme (domain 1 and domain 2 only) Noah land surface model</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Configuration of the WRF model.</div>

Advances in Meteorology

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Table 1

Table 1: Solar GHI Ensemble Prediction Based on a Meteorological Model and Method Kalman Filter 