Mathematics, 2022 Prediction problems in timed datasets related to human activities are especially difficult to solve, because of the specific characteristics and the scarce number of predictive (input) variables available to tackle these problems.
Ricardo Torres-López +5 more
doaj +1 more source
HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 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
Why the Increasing Trend of Summer Rainfall over North China Has Halted since the Mid-1990s
Advances in Meteorology, 2020 Previous studies indicate that the summer (July-August) rainfall over North China has decreased since the mid-1970s due to the weakening of East Asian summer monsoon (EASM). However, this study firstly discovers the new evidences that the summer rainfall
Haiwen Liu +5 more
doaj +1 more source
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]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 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
Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining
Applied Sciences, 2022 We deal with the problem of class imbalance in data mining and machine learning classification algorithms. This is the case where some of the class labels are represented by a small number of examples in the training dataset compared to the rest of the ...
Evangelos Tsagalidis +1 more
doaj +1 more source
Effects of random forest modeling decisions on biogeochemical time series predictions
Limnology and Oceanography: Methods, 2022 Random forests (RF) are an increasingly popular machine learning approach used to model biogeochemical processes in the Earth system. While RF models are robust to many assumptions that complicate deterministic models, there are several important ...
P. Regier +3 more
semanticscholar +1 more source
Design, Implementation, and Assessment of an Undergraduate Interdisciplinary Watershed Research Laboratory [PDF]
, 2002 This article discusses the establishment of Shippensburg University's Burd Run Interdisciplinary Watershed Research Laboratory and the advantages of linking disciplinary perspectives across courses in geology, geography, biology, and teacher education ...
Christopher Woltemade, William Blewett
core +1 more source
Applying self-supervised learning for semantic cloud segmentation of all-sky images
Atmospheric Measurement Techniques, 2021 . 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
Impacts of Different Onset Time El Niño Events on Winter Precipitation over South China
Atmosphere, 2018 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
International Journal on Advanced Science, Engineering and Information Technology, 2019 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