Short-range solar radiation forecasts over Sweden
In this article the performance for short-range solar radiation forecasts by the global deterministic and ensemble models from the European Centre for Medium-Range Weather Forecasts (ECMWF) is compared with an ensemble of the regional mesoscale model HARMONIE-AROME used by the national meteorolog...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
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Series: | Advances in Science and Research |
Online Access: | https://www.adv-sci-res.net/15/39/2018/asr-15-39-2018.pdf |
Summary: | In this article the performance for short-range solar radiation forecasts by
the global deterministic and ensemble models from the European Centre for
Medium-Range Weather Forecasts (ECMWF) is compared with an ensemble of the
regional mesoscale model HARMONIE-AROME used by the national meteorological
services in Sweden, Norway and Finland. Note however that only the control
members and the ensemble means are included in the comparison. The models
resolution differs considerably with 18 km for the ECMWF ensemble, 9 km for
the ECMWF deterministic model, and 2.5 km for the HARMONIE-AROME ensemble.</p><p>The models share the same radiation code. It turns out that they all
underestimate systematically the Direct Normal Irradiance (DNI) for clear-sky
conditions. Except for this shortcoming, the HARMONIE-AROME ensemble model
shows the best agreement with the distribution of observed Global Horizontal
Irradiance (GHI) and DNI values. During mid-day the HARMONIE-AROME ensemble
mean performs best. The control member of the HARMONIE-AROME ensemble also
scores better than the global deterministic ECMWF model. This is an
interesting result since mesoscale models have so far not shown good results
when compared to the ECMWF models.</p><p>Three days with clear, mixed and cloudy skies are used to illustrate the
possible added value of a probabilistic forecast. It is shown that in these
cases the mesoscale ensemble could provide decision support to a grid
operator in terms of forecasts of both the amount of solar power and its
probabilities. |
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ISSN: | 1992-0628 1992-0636 |