Data Accuracy
We offer accurate high-resolution assessments of meteorological and air quality indicators using state-of-the-art Numerical Weather Prediction (NWP) models.
Evaluation of MetClim forecasting meteorological and air quality indicators is published in peer-reviewed publications, which can be found here: https://www.metclim.com/references/.
In summary:
Wind forecasting *
Bias = < ± 3 % Coastal site; < ± 2 % Offshore; < ± 1 % Land site
· Excellent statistics over land when height increases.
· Excellent representation of the wind rose at all sites.
· Strong evidence that higher resolution reduces biases.
Global Horizontal Irradiation (GHI) forecasting **
rRMSE = 15.1%, Bias -2.1%
PM10 forecasting ***
Bias = 3.1%
* Participated in the European Wind Energy Association (EWEA) benchmarking exercise. MetClim’s results were third ranked (out of 14 participating international organizations).
** Compared to ground-based observations.
*** Compared to CAMS re-analysis PM10 concentrations.