Đánh giá nguồn tài nguyên gió ở Vịnh Ba Tư và Biển Oman bằng mô hình mô phỏng số và dữ liệu vệ tinh

Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS (2014) Comparison of reanalyzed, analyzed, satellite-retrieved and NWP modelled winds with buoy data along the Iberian Peninsula coast. Remote Sens Environ 152:480–492 Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS (2017) Offshore winds and wind energy production estimates derived from ASCAT, OSCAT, numerical weather prediction models and buoys—a comparative study for the Iberian Peninsula Atlantic coast. Renew Energy 102:433–444 Chang R, Zhu R, Badger M, Hasager CB, Zhou R, Ye D, Zhang X (2014) Applicability of synthetic aperture radar wind retrievals on offshore wind resources assessment in Hangzhou Bay, China. Energies 7(5):3339–3354 Charabi Y, Al Hinai A, Al-Yahyai S, Al Awadhi T, Choudri BS (2019) Offshore wind potential and wind atlas over the Oman Maritime Zone. Energ Ecol Environ 4(1):1–14 de Linaje NGA, Mattar C, Borvarán D (2019) Quantifying the wind energy potential differences using different WRF initial conditions on Mediterranean coast of Chile. Energy 188:116027 Dong C, Huang GG, Cheng G (2021) Offshore wind can power Canada. Energy 236:121422 Dudhia J (1989) Numerical study of convection observed during the winter monsoon experiment using a mesoscale two–dimensional model. J Atmos Sci 46:3077–3107 Ek MB, Mitchell KE, Lin Y, Rogers E, Grummann P, Koren V, Gayno G, Tarpley JD (2003) Implementation of Noah land surface model advances in the national centers for environmental prediction operational mesoscale eta model. J Geophys Res 108:8851 Elliott DL, Holladay CG, Barchet WR, Foote HP, Sandusky WF (1987) Wind energy resource atlas of the United States. NASA STI/Recon Tech Rep 87:24819 Emeis S (2001) Vertical variation of frequency distributions of wind speed in and above the surface layer observed by sodar. Meteorol Z 10(2):141–150 Esteban MD, Diez JJ, López JS, Negro V (2011) Why offshore wind energy? Renew Energy 36(2):444–450 Ghafarian P, Pegahfar N, Mohammadpour Penchah MR (2019) Simulation of the surface wind field by the WRF model in Oman Sea region with different initial and boundary conditions. J Earth Space Phys 45(1):197–209 Gholami S, Ghader S, Khaleghi-Zavareh H, Ghafarian P (2021) Sensitivity of WRF-simulated 10 m wind over the Persian Gulf to different boundary conditions and PBL parameterization schemes. Atmos Res 247:105147 Hasager CB, Peña A, Christiansen MB, Astrup P, Nielsen M, Monaldo F, Thompson D, Nielsen P (2008) Remote sensing observation used in offshore wind energy. IEEE J Sel Top Appl Earth Obs Remote Sens 1(1):67–79 Hasager CB, Hahmann AN, Ahsbahs T, Karagali I, Sile T, Badger M, Mann J (2020) Europe’s offshore winds assessed with synthetic aperture radar, ASCAT and WRF. Wind Energy Sci 5(1):375–390 Hersbach H, Bell B, Berrisford P, Hirahara S, Horányi A, Muñoz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D, Simmons A (2020) The ERA5 global reanalysis. Q J R Meteorol Soc 146(730):1999–2049 Hong SY, Lim JOJ (2006) The WRF single-moment 6-class microphysics scheme (WSM6). Asia-Pac J Atmos Sci 42(2):129–151 Janjic ZI (1994) The step–mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon Weather Rev 122:927–945 Jimenez B, Durante F, Lange B, Kreutzer T, Tambke J (2007) Offshore wind resource assessment with WAsP and MM5: comparative study for the German Bight. Wind Energy 10(2):121–134 Karagali I, Peña A, Badger M, Hasager CB (2014) Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. Wind Energy 17(1):123–140 Kibona TE (2020) Application of WRF mesoscale model for prediction of wind energy resources in Tanzania. Sci Afr 7:e00302 Kumar R, Stallard T, Stansby PK (2017) Assessment of WRF prediction of velocity profile and turbulence intensity by comparison to field measurement. In: The 27th International Ocean and Polar Engineering Conference. San Francisco, California, USA, June 2017 Kumar R, Stallard T, Stansby PK (2021) Large-scale offshore wind energy installation in northwest India: assessment of wind resource using weather research and forecasting and levelized cost of energy. Wind Energy 24(2):174–192 Lee JA, Doubrawa P, Xue L, Newman AJ, Draxl C, Scott G (2019) Wind resource assessment for Alaska’s offshore regions: validation of a 14-year high-resolution WRF data set. Energies 12(14):2780 Mahmoodi K, Ghassemi H, Razminia A (2020) Wind energy potential assessment in the Persian Gulf: a spatial and temporal analysis. Ocean Eng 216:107674 Mahmoodi K, Saybani M, Azad ST (2022) A temporal and spatial resolution wind and wave power resource assessment in the Oman Gulf. Ocean Eng 249:110881 Mattar C, Borvarán D (2016) Offshore wind power simulation by using WRF in the central coast of Chile. Renew Energy 94:22–31 Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res 102(D14):16663–16682 Nezhad MM, Neshat M, Piras G, Garcia DA (2022) Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies. Renew Sustain Energ Rev 168:112791 Nie B, Li J (2018) Technical potential assessment of offshore wind energy over shallow continent shelf along China coast. Renew Energy 128:391–399 Ohsawa T, Kato M, Uede H, Shimada S, Takeyama Y, Ishihara T (2016) Investigation of WRF configuration for offshore wind resource maps in Japan. Proceedings of the Wind Europe Summit, Hamburg Messe, Hamburg, Germany: 27–29 Olauson J (2018) ERA5: The new champion of wind power modelling? Renew Energy 126:322–331 Perrone TJ (1979) Winter shamal in the Persian Gulf. Naval Environmental Prediction Research Facility Monterey CA Rehman S, Halawani TO (1994) Statistical characteristics of wind in Saudi Arabia. Renew Energy 4(8):949–956 Reynolds RM (1993) Physical oceanography of the Gulf, Strait of Hormuz, and the Gulf of Oman—results from the Mt Mitchell expedition. Mar Pollut Bull 27:35–59 Ricciardulli L (2017) The climate data guide: CCMP: cross-calibrated multi-platform wind vector analysis. Retrieved from https://climatedataguide.ucar.edu/climatedata/ccmp-cross-calibrated-multi-platformwind-vector-analysis. Accessed 27 Feb 2017 Rose S, Apt J (2015) What can reanalysis data tell us about wind power? Renew Energy 83:963–969 Saket A, Etemad-Shahidi A (2012) Wave energy potential along the northern coasts of the Gulf of Oman, Iran. Renew Energy 40(1):90–97 Salvação N, Soares CG (2018) Wind resource assessment offshore the Atlantic Iberian coast with the WRF model. Energy 145:276–287 Sharp E, Dodds P, Barrett M, Spataru C (2015) Evaluating the accuracy of CFSR reanalysis hourly wind speed forecasts for the UK, using in situ measurements and geographical information. Renew Energy 77:527–538 Skamarock WC, Klemp JB, Dudhia J, Gill DO, Liu Z, Berner J, Wang W, Powers JG, Duda MG, Barker DM, Huang XY (2019) A description of the advanced research WRF model version 4. National Center for Atmospheric Research: Boulder, CO, USA, 145 Soukissian T (2013) Use of multi-parameter distributions for offshore wind speed modeling: the Johnson SB distribution. Appl Energy 111:982–1000 Ulazia A, Sáenz J, Ibarra-Berastegui G, González-Rojí SJ, Carreno-Madinabeitia S (2017) Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean. Appl Energy 208:1232–1245 Wang YH, Walter RK, White C, Farr H, Ruttenberg BI (2019) Assessment of surface wind datasets for estimating offshore wind energy along the Central California Coast. Renew Energy 133:343–353 Zhou RW, He XF, Zhu R, Cheng X (2010) Numerical simulation of the development potential of wind energy resources over China’s offshore areas. Resour Sci 32(8):1434–1443