Research on quality control methods for surface temperature observations via spatial correlation analysis
X **ong, Z Jiang, H Tang, Y Zhang… - International Journal of …, 2022 - Wiley Online Library
This article proposed a new quality control method (CS‐MSF) to identify potential outliers in
the surface temperature observations. The CS‐MSF method employed cosine similarity and …
the surface temperature observations. The CS‐MSF method employed cosine similarity and …
Trends in the Air Temperature: A Practical Approach for Auto‐and Cross‐Correlation Analysis
MDN da Costa, AA Brito, APN de Castro… - Advances in …, 2024 - Wiley Online Library
We study the air temperature with 10 years of hourly measured in 12 automatic weather
stations, located in the State of Bahia (Brazil), considering mainly its auto‐and cross …
stations, located in the State of Bahia (Brazil), considering mainly its auto‐and cross …
Big Data analytics for prediction: parallel processing of the big learning base with the possibility of improving the final result of the prediction
Purpose This paper aims to solve the problems of big data analytics for prediction including
volume, veracity and velocity by improving the prediction result to an acceptable level and in …
volume, veracity and velocity by improving the prediction result to an acceptable level and in …
一种基于 PSO-VMD 和 LSTM 的复杂山地风电场观测风速数据质量控制算法
熊雄， 姚润进， 程帅兵， **文龙， 钱栋 - 太阳能学报, 2024 - epjournal.csee.org.cn
复杂山地风电场普遍存在观测风速数据质量差引起风资源评估误差大, 风功率预测精度低的问题
. 而复杂山地风速呈现较**的间隙性, 波动性和非**稳性, 导致常规质量控制方法无法有效提高 …
. 而复杂山地风速呈现较**的间隙性, 波动性和非**稳性, 导致常规质量控制方法无法有效提高 …
Comparison of Machine‐Learning Algorithms for Near‐Surface Air‐Temperature Estimation from FY‐4A AGRI Data
K Zhou, H Liu, X Deng, H Wang… - Advances in …, 2020 - Wiley Online Library
Six machine‐learning approaches, including multivariate linear regression (MLR), gradient
boosting decision tree, k‐nearest neighbors, random forest, extreme gradient boosting …
boosting decision tree, k‐nearest neighbors, random forest, extreme gradient boosting …
A quality control method based on an improved kernel regression algorithm for surface air temperature observations
X Ye, Y Kan, X **ong, Y Zhang… - Advances in …, 2020 - Wiley Online Library
An improved kernel regression (IKR) method based on an adaptive algorithm and particle
swarm optimization is proposed. Considering the limitations of current quality control …
swarm optimization is proposed. Considering the limitations of current quality control …
Geospatial Practices for Airpollution and Meteorological Monitoring, Prediction, and Forecasting
Air pollution and meteorological monitoring are an integral part of the mitigation strategies
that need to be adopted for curbing air pollution. Geospatial techniques are used to integrate …
that need to be adopted for curbing air pollution. Geospatial techniques are used to integrate …