과제정보
이 연구는 국토교통부 「기후적 요소를 고려한 UAM PORT 위치선정 기법 연구」(21CTAP-C164083-01)와 기상청 「수요자 맞춤형 항공기상서비스 기술개발」(RS-2024-00403421)의 지원으로 수행되었습니다.
참고문헌
- de Rooy, W. C., and K. Kok, 2004: A combined physical-statistical approach for the downscaling of model wind speed. Wea. Forecasting, 19, 485-495, doi:10.1175/1520-0434(2004)019<0485:ACPAFT>2.0.CO;2.
- Farr, T. G., and Coauthors, 2007: The shuttle radar topography mission. Rev. Geophys., 45, RG2004, doi:10.1029/2005RG000183.
- Giorgi, F., J. William, and Jr. Gutowski, 2015: Regional dynamical downscaling and the CORDEX initiative. Annu. Rev. Environ. Resour., 40, 467-490, doi:10.1146/annurev-environ-102014-021217.
- Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 1999-2049, doi:10.1002/qj.3803.
- Hewitson, B. C., and R. G. Crane, 1996: Climate downscaling: Techniques and application. Climate Res., 7, 85-95, doi:10.3354/cr007085.
- Howard, T., and P. Clark, 2007: Correction and downscaling of NWP wind speed forecasts. Meteorol. Appl., 14, 105-116, doi:10.1002/met.12.
- Keum, W.-H., S.-H. Lee, D.-I. Lee, S.-S. Lee, and Y.-H, Kim, 2021: Evaluation and improvement of the KMAPP surface wind speed prediction over complex terrain areas. Atmosphere, 31, 85-100, doi:10.14191/Atmos.2021.31.1.085.
- Macdonald, R. W., R. F. Griffiths, and D. J. Hall, 1998: An improved method for estimation of surface roughness of obstacle arrays. Atmos. Environ., 32, 1857-1864, doi:10.1016/S1352-2310(97)00403-2.
- NASA, 2020: UAM Vision Concept of Operations (ConOps) UAM Maturity Level (UML) 4. National Aeronautics and Space Administration, [Available online at https://www.nasa.gov/directorates/armd/aosp/uam-vision-concept-of-operations-conops-uam-maturity-level-uml-4/].
- Nawri, N., G. N. Petersen, H. Bjornsson, A. N. Hahmann, K. Jonasson, C. B. Hasager, and N.-E. Clausen, 2014: The wind energy potential of Iceland. Renewable Energy, 69, 290-299, doi:10.1016/j.renene.2014.03.040.
- Porson, A., P. A. Clark, I. N. Harman, M. J. Best, and S. E. Belcher, 2010: Implementation of a new urban energy budget scheme in the MetUM. Part I: Description and idealized simulations. Quart. J. Roy. Meteor. Soc., 136, 1514-1529, doi:10.1002/qj.668.
- Pryor, S. C., J. T. Schoof, and R. J. Barthelmie, 2005: Empirical downscaling of wind speed probability distributions. J. Geophys. Res., 110, D19109, doi:10.1029/2005JD005899.
- Roberts, N., and Coauthors, 2023: IMPROVER: The new probabilistic postprocessing system at the Met office. Bull. Amer. Meteor. Soc., 104, E680-E697, doi:10.1175/BAMS-D-21-0273.1.
- Sanz Rodrigo, J., R. C. Chavez Arroyo, P. Moriarty, M. Churchfield, B. Kosovic, P.-E. Rethore, K. Hansen, A. Hahmann, J. Mirocha, and D. Rife, 2017: Mesoscale to microscale wind farm flow modeling and evaluation. WIREs Energy Environ, 6, e214, doi:10.1002/wene.214.
- Schoof, J. T., 2013: Statistical downscaling in climatology. Geography Compass, 7, 249-265, doi:10.1111/gec3.12036.
- Tang, J., X. Niu, S. Wang, H. Gao, X. Wang, and J. Wu, 2016: Statistical downscaling and dynamical downscaling of regional climate in China: Present climate evaluations and future climate projections. J. Geophys. Res. Atmos., 121, 2110-2129, doi:10.1002/2015JD023977.
- UAM Team Korea, 2021: Operating Concept of Korean Urban Air Mobility (K-UAM) 1.0. MOLIT, [Available online at https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?lcmspage=1&id=95086041] (in Korean).
- Webster, S., A. R. Brown, D. R. Cameron, and C. P. Jones, 2003: Improvements to the representation of orography in the Met Office Unified Model. Quart. J. Roy. Meteor. Soc., 129, 1989-2010, doi:10.1256/qj.02.133.
- Yi, C., T. H. Kwon, M.-S. Park, Y. J. Choi, and S. M. An, 2015: A study on the roughness length spatial distribution in relation to the Seoul building morphology. Atmosphere, 25, 339-351, doi:10.14191/Atmos.2015.25.2.339.