Zobrazeno 1 - 10
of 771
pro vyhledávání: '"Myong‐In Lee"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Increasing heatwave intensity and mortality demand timely and accurate heatwave prediction. The present study focused on teleconnection, the influence of distant land and ocean variability on local weather events, to drive long-term heatwave
Externí odkaz:
https://doaj.org/article/d6f70a9ae0fc48bc89f7024d54aee8c2
Publikováno v:
Weather and Climate Extremes, Vol 44, Iss , Pp 100670- (2024)
This study investigates the predictability of the 2018 Northern Europe heatwave using the GloSea5 forecast model from the perspective of land-atmosphere interactions. We focus on an inverse relationship wherein soil drying leads to increased temperat
Externí odkaz:
https://doaj.org/article/5d720f87d154453294b912e23d052a58
Autor:
Doo-Sun R. Park, Eunkyo Seo, Minkyu Lee, Dong-Hyun Cha, Dasol Kim, Chang-Hoi Ho, Myong-In Lee, Hyeong-Seog Kim, Seung-Ki Min
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Given their conditions to reside in and intensify longer over warm oceans, tropical cyclones (TCs) in the western North Pacific (WNP) present a stronger lifetime maximum intensity during El Niño than during La Niña. By using observational
Externí odkaz:
https://doaj.org/article/4c0487f8ee594c8cb978663f0b73b6b7
Publikováno v:
Weather and Climate Extremes, Vol 45, Iss , Pp 100694- (2024)
This study suggests a methodology for probabilistic forecasts of the extreme heat events in East Asia based on an operational global ensemble prediction used by the Korea Meteorological Administration (KMA). It focuses on the medium range of up to 11
Externí odkaz:
https://doaj.org/article/912e561f97bf48008e6c85a42d7c649e
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 7, Pp 1175-1194 (2021)
This study develops an aerosol data assimilation and forecast system using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and the three-dimensional variational (3D-VAR) data assimilation method. The system assimilates th
Externí odkaz:
https://doaj.org/article/64815ae65b474baaa5889ba9fa99f628
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2123 (2022)
This study examines the performance of a data assimilation and forecasting system that simultaneously assimilates satellite aerosol optical depth (AOD) and ground-based PM10 and PM2.5 observations into the Weather Research and Forecasting model coupl
Externí odkaz:
https://doaj.org/article/4733f7673b9646649c97b5b425e7f902
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 389 (2022)
Prior knowledge of the effectiveness of new observation instruments or new data streams for air quality can contribute significantly to shaping the policy and budget planning related to those instruments and data. In view of this, one of the main pur
Externí odkaz:
https://doaj.org/article/700cf7cc06e2458e945126c36f89c6a6
Publikováno v:
GIScience & Remote Sensing, Vol 54, Iss 4, Pp 592-613 (2017)
Satellite-based atmospheric CO2 observations have provided a great opportunity to improve our understanding of the global carbon cycle. However, thermal infrared (TIR)-based satellite observations, which are useful for the investigation of vertical d
Externí odkaz:
https://doaj.org/article/8017c84271f549c1bd471b7b77bc7365
Autor:
Teppei J Yasunari, Hisashi Nakamura, Kyu-Myong Kim, Nakbin Choi, Myong-In Lee, Yoshihiro Tachibana, Arlindo M da Silva
Publikováno v:
Environmental Research Letters, Vol 16, Iss 6, p 064009 (2021)
Long-term assessment of severe wildfires and associated air pollution and related climate patterns in and around the Arctic is essential for assessing healthy human life status. To examine the relationships, we analyzed the National Aeronautics and S
Externí odkaz:
https://doaj.org/article/69b9997ad29145598fd43b1868c8b6f7
Publikováno v:
Atmosphere, Vol 11, Iss 5, p 477 (2020)
A numerical simulation system is developed to predict the dispersion of hazardous air pollutants (HAPs) over a populated city due to accidental release. Ulsan, as one of the megacities in Korea, is chosen as an ideal testbed for the simulation, as it
Externí odkaz:
https://doaj.org/article/542ee5e9d1834ce3b5b74a64611b49fd