Results 51 to 60 of about 3,271,202 (325)
ESTIMATING AIRBORNE PARTICULATE MATTER IN THE NATIONAL CAPITAL REGION, PHILIPPINES USING MULTIPLE LINEAR REGRESSION AND GRADIENT BOOSTING ALGORITHM ON MODIS MAIAC AEROSOL OPTICAL DEPTH [PDF]
The generation of air quality concentration data is imperative for the health and environment of highly urbanized regions. Through remote sensing, air pollutant concentrations can be obtained over large areas for a long time.
R. A. B. Torres+7 more
doaj +1 more source
Transformer-Based Global Zenith Tropospheric Delay Forecasting Model
Zenith tropospheric delay (ZTD) plays an important role in high-precision global navigation satellite system (GNSS) positioning and meteorology. At present, commonly used ZTD forecasting models comprise empirical, meteorological parameter, and neural ...
Haifeng Zhang+4 more
semanticscholar +1 more source
Applying self-supervised learning for semantic cloud segmentation of all-sky images
. Semantic segmentation of ground-based all-sky images (ASIs) can provide high-resolution cloud coverage information of distinct cloud types, applicable for meteorology, climatology and solar energy-related applications. Since the shape and appearance of
Yann Fabel+8 more
semanticscholar +1 more source
HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA [PDF]
Highly urbanized regions such as the Metro Manila area in the Philippines contribute to the deterioration of air quality through overpopulation, excessive vehicle emissions, and industrialization. However, the limited number of ground monitoring stations
B. A. B. Recto+7 more
doaj +1 more source
Generating spatiotemporally continuous land surface temperature (LST) data is in great demand for hydrology, meteorology, ecology, environmental studies, etc.
Weiwei Tan+3 more
semanticscholar +1 more source
Impacts of Different Onset Time El Niño Events on Winter Precipitation over South China
Winter precipitation over South China tended to be much higher than normal for the spring El Niño events during 1979–2016. For the spring El Niño events, the meridional and zonal circulations served as a bridge, linking the warmer sea
Lingli Fan, Jianjun Xu, Huade Guan
doaj +1 more source
Mean daily rainfall of more than 30mm could result in flood hazard. Accurate prediction of rainfall intensity could help in forecasting of flash flood and help to save lives and properties.
S. Chai+4 more
semanticscholar +1 more source
The properties and distributions of precipitation are often determined by specific synoptic patterns. Hence, the objective identification of corresponding impact patterns is an important field of research for improving rain forecasting.
Linguo Jing+5 more
doaj +1 more source
Forecasting the PM-10 using a deep neural network [PDF]
The air pollutants related to PM-10 are increasingly adversely affecting people in upper Northern Thailand, especially during the annual dry season.
Chinawat Chairungrueang, Rati Wongsathan
doaj +1 more source
Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes
Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent hydrometeorological disasters. Weather changes that can occur suddenly and in a local scope make fast and precise weather forecasts increasingly difficult to inform ...
F. Simanjuntak+4 more
semanticscholar +1 more source