Research Article

Assessment of the Present and Future Offshore Wind Power Potential: A Case Study in a Target Territory of the Baltic Sea Near the Latvian Coast

Table 3

Results of comparison of global models and in situ data.
(a) MAD (m/s) between the simulated and observed long-term seasonal and annual wind speed (m/s) and air temperature (°C) data (1981–2010)

WinterSpringSummerAutumnYear

Wind speed
 L1-CLM−0.10.30.00.10.1
 P-CLM0.10.20.10.10.1
 L2-CLM (2004–2010)0.10.10.10.10.1
Air temperature
 L1-CLM0.20.10.30.20.4
 P-CLM0.40.30.30.40.5

L1 is observation station Liepaja 1; L2 is observation station Liepaja 2; P is observation station Pavilosta. Data have been computed for the four standard climatological seasons (e.g., winter is identified by December, January, February, and so on).
(b) Correlation coefficients between daily wind speed, air temperature, and atmospheric pressure (2004–2010)

Observation station-modelWinterSpringSummerAutumnYear

Wind speed
 L1-Hirlam0.930.920.930.930.91
 L2-Hirlam0.840.900.920.930.86
 P-Hirlam0.860.910.920.920.89
Air temperature
 L1-Hirlam0.980.980.950.980.95
 P-Hirlam0.970.990.950.980.93
Air pressure
 L1-Hirlam0.990.990.990.990.99
 P-Hirlam0.980.990.980.990.99

L1 is observation station Liepaja 1; L2 is observation station Liepaja 2; P is observation station Pavilosta. Data have been computed for the four standard climatological seasons (e.g., winter is identified by December, January, February, and so on).