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Long-term near-surface soil moisture (SM) data can be obtained on a regional scale through microwave remote sensing. Therefore, to quantitatively analyze the accuracy of multisource remote sensing–based observation products, improve the retrieval ...
Jiazhi Fan+6 more
doaj +1 more source
MAPPING COLOURED DISSOLVED ORGANIC MATTER IN MANILA BAY USING SENTINEL-3 AND WASI [PDF]
Manila Bay is one of the most significant bodies of water in the Philippines; it has abundant natural resources that have been the source of livelihood and center of socio-economic development for centuries.
A. Manuel+5 more
doaj +1 more source
Cloud detection is the first step for the practical processing of meteorology satellite images, and also determines the accuracy of subsequent applications.
Hualian Fu+7 more
semanticscholar +1 more source
Reliable and affordable telecommunications are an integral part of service‐based economies, but the nature of the associated physical infrastructure leads to considerable exposure to weather.
David J. Brayshaw+3 more
doaj +1 more source
Identifying Significant Cognitive Factors for Practicing and Learning Meteorology
Understanding which cognitive factors facilitate meteorology skills is important for meteorology training and education. This study investigated aspects of cognition important to successful completion of meteorology tasks typically provided to student ...
P. McNeal+3 more
semanticscholar +1 more source
Meteorological training for the digital age: A Blueprint for a new curriculum [PDF]
Almost all professional meteorologists take part in meteorological training during their undergraduate or graduate study or professional job training in the public or private sector. Increased benefits can be accrued by employers and employees, if this training is based on the same underpinning skills and attributes, aimed to equip people entering ...
Elizabeth McCrum+9 more
openaire +2 more sources
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
Why the Increasing Trend of Summer Rainfall over North China Has Halted since the Mid-1990s
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
Effects of random forest modeling decisions on biogeochemical time series predictions
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
Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining
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