Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shaik Allabakash"'
Autor:
Shaik Allabakash, Sanghun Lim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The present study explores the impact of anthropogenic forcings (ANT) on surface air temperatures (SATs) across East Asia (EA) over a long period (1850–2014) using the new Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. Bas
Externí odkaz:
https://doaj.org/article/b37f2896bc2046019536ef38745f988b
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4849 (2022)
Air pollution is a serious challenge in South Korea and worldwide, and negatively impacts human health and mortality rates. To assess air quality and the spatiotemporal characteristics of atmospheric particulate matter (PM), PM concentrations were co
Externí odkaz:
https://doaj.org/article/dc5b9700d0f64600bd089b16f088afd4
Autor:
Shaik Allabakash, Sanghun Lim
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2571 (2020)
Planetary boundary layer (PBL) height plays a significant role in climate modeling, weather forecasting, air quality prediction, and pollution transport processes. This study examined the climatology of PBL-associated meteorological parameters over t
Externí odkaz:
https://doaj.org/article/a4d22ea9ff4846ff812b8275cf652181
Autor:
Shaik Allabakash, Sanghun Lim
Publikováno v:
Scientific reports. 12(1)
The present study explores the impact of anthropogenic forcings (ANT) on surface air temperatures (SATs) across East Asia (EA) over a long period (1850–2014) using the new Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. Based on CMI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758cd0dda6f34fee40990f0494ca1ff0
https://pubmed.ncbi.nlm.nih.gov/35831459
https://pubmed.ncbi.nlm.nih.gov/35831459
Publikováno v:
IET Signal Processing. 9:440-448
Various non-atmospheric signals contaminate radar wind profiler (RWP) data, which produce bias in estimation of moments and wind velocity. Especially, in ultra high frequency (UHF) RWPs, ground clutter severely degrades wind velocity estimation. Furt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b8e26040e74abb67681ab3285ffdcb
https://doi.org/10.1049/iet-spr.2014.0312
https://doi.org/10.1049/iet-spr.2014.0312