A Short-Term Power Load Forecasting Method Using CNN-GRU with an Attention Mechanism by Qingbo Hua, Zengliang Fan, Wei Mu, Jiqiang Cui, Rongxin Xing, Huabo Liu, Junwei Gao

“…This paper applies the proposed model to a dataset comprising regional electric load and meteorological data for experimentation. The results show that compared with other common models, the proposed model effectively reduces the mean absolute error and root mean square error (121.51 and 263.43, respectively) and accurately predicts the short-term change in regional power load.…”
Get full text

Soil Water Availability Modulation Over Estimated Relative Yield Losses in Wheat (Triticum aestivum L.) Due to Ozone Exposure by Daniel De la Torre, Maria Jose Sierra

“…The results show that this is an easy way to estimate relative yield losses just using meteorological data, without using ozone fluxes, which are much more difficult to calculate. …”
Get full text

Investigating Water Balance Configuration in the Urban Areas of Mthatha, South Africa by Phelokazi S., Amoo O.T., Ikudayisi A., Nakin MDV.

“…The result has demonstrated the use of QSWAT and SWMM in a Quick geographic information systems (QGIS) environment to drive the socio-hydrological framework to model spatially distributed and time-varying hydrologic and meteorologic datasets as an effective scientific visualization technique in water balance evaluation.…”
Get full text

Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China by Haiwang Yue, Yanbing Wang, Zhaoyang Chen, Jiashuai Zhu, Partha Pratim Behera, Pengcheng Liu, Haoxiang Yang, Jianwei Wei, Junzhou Bu, Xuwen Jiang, Xuwen Jiang, Wujun Ma

“…Leveraging 30 years of environmental data, including 19 meteorological parameters and 6 soil physicochemical properties, the study analyzed GEI and identified four distinct mega-environments (MEs) using advanced environmental classification techniques.ResultsVariance analysis of genotype-year combinations at individual locations revealed significant differences among genotypes. …”
Get full text

Mexico City—Ambitions and Challenges of Integrated Risk Management in a Fractured Urban Planning Context by Soledad Garcia Ferrari, Emma R. Morales, Amelia A. Bain

“…Our research over the past 5 years has explored risk management processes in Mexico and Mexico City through a transdisciplinary investigation of the vulnerability to climate change-related hydro-meteorological risks in low-income urban areas, and the capacities to manage risk at the community and institutional levels. …”
Get full text

Separating snow and ice melt using water stable isotopes and glacio-hydrological modelling: towards improving the application of isotope analyses in highly glacierized catchments by T. Müller, T. Müller, M. Fischer, M. Fischer, S. N. Lane, B. Schaefli, B. Schaefli, B. Schaefli

“…However, modelling highly glacierized catchments poses challenges due to data scarcity and complex spatio-temporal meteorological conditions, leading to input data uncertainty and potential misestimation of the contribution of snow and ice melt to streamflow. …”
Get full text

Mean-Square Exponential Stability Analysis of Stochastic Neural Networks with Time-Varying Delays via Fixed Point Method by Tianxiang Yao, Xianghong Lai

Get full text

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

“…The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. …”
Get full text

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution. by Martin Kostadinov, Eftim Zdravevski, Petre Lameski, Paulo Jorge Coelho, Biljana Stojkoska, Michael A Herzog, Vladimir Trajkovik

“…Historical air quality measurement data were gathered from various local sensors positioned at different sites in Skopje, along with data on meteorological conditions from publicly available APIs. …”
Get full text

Spatial and Temporal Variation Characteristics of Drought in Guizhou Province Based on VCI and Division of Arid Regions by DAI Renli, ZHONG Jiusheng

“…Due to its unique dual hydrological structure of surface water and groundwater and typical karst low mountain and hilly landform area,the agricultural ecological environment of Guizhou Province is extremely fragile,and it is prone to agricultural disasters caused by meteorological factors,leading to reduced agricultural production.This paper calculates the VCI of Guizhou Province from 2001 to 2018 by remote sensing technology,explores the agricultural drought situation in Guizhou Province,divides the spatial distribution of seasonal arid regions in Guizhou Province with ArcGIS spatial overlay analysis,and analyzes the VCI trend characteristics of Guizhou Province through the unary linear trend method.The results show that:①The seasonal and inter-annual VCI in Guizhou Province generally show a downward trend,most obviously in karst areas,followed by non-karst areas;②Guizhou Province's seasonal droughts are mainly spring and winter droughts,and dry karst areas is a drought-prone area;③The drought time characteristics of Guizhou Province are mainly seasonal continuous drought and three-season continuous drought.…”
Get full text

Potential Structural Damage Characterization through Remote Sensing Data: A Nondestructive Experimental Case Study by Marta Terrados-Cristos, Francisco Ortega-Fernández, Marina Díaz-Piloneta, Vicente Rodríguez Montequín, Javier García González

“…The results obtained are analyzed and compared with meteorological satellite data characterization at each site. …”
Get full text

Assessment of Freeze-Thaw in Romania by Arion Cristian, Vacareanu Radu, Aldea Alexandru, Arion Andrei, Pavel Florin

“…Additionally, frost heave plays a significant role in local meteorological conditions, impacting perennial plants. …”
Get full text

A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics by Zinan Lin, Qi Zhou, Zhe Wang, Ce Wang, Davis Boyd Bookhart, Marcus Leung-Shea

“…The PV power generation data was collected at 5-minute intervals at the inverter-level. The meteorological data was collected at 1-minute intervals from an on-site weather station. …”
Get full text

Monitoring air quality in residential areas with low-cost sensors: Santa Cecilia case by Oscar Arnulfo Fajardo-Montaña, Yeimy Alejandra Salinas, Carlos Reyes, Daniel Santiago Becerra-Casas

“…In situ PM2.5 concentrations were compared with meteorological data and PM2.5 reports from the Bogotá Air Quality Monitoring Network (RMCAB). …”
Get full text

The rainfall-runoff model for the Carpathian flysch catchment using the SWAT+ hydrological software by Wiktor Halecki, Dawid Bedla

“…In the next stage, multiannual meteorological data (1991–2020) were added to the SWAT+ model, which included: minimum and maximum daily air temperature, daily rainfall, average daily radiation and average daily wind speed. …”
Get full text

Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields by Huan Liu, Fankun Meng, Zhengnan Yan, Yuliang Shi, Subo Tian, Yanjie Yang, Xiaoye Li

“…The boundary conditions and initial values of the external environment and soil were derived from meteorological data and an efficient interpolation function method, with the time step updated every 1h. …”
Get full text

Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

“…This mechanism enhances the segmentation and extraction of nonlinear correlations between PV power outputs and meteorological factors, assigning variable weights to patterns of change across different time scales. …”
Get full text

Monitoring Climate Changes By Geographical Information Systems (GIS): A Case Study of Izmir City by Anıl Can Birdal, Engin Korkmaz, Gökhan Erşen, Tarık Türk, Rutkay Atun

“…In this study, two separate climate classification methods were used (Erinç and De Martonne). Meteorological data ranging from 1980 to 2011 were examined periodically and arranged according to determined classification methods. …”
Get full text

Forecasting energy production of a PV system connected by using NARX neural network model by Marwa M. Ibrahim, Amr A. Elfeky, Amal El Berry

“…The parameters that had an impact on the electrical data of PV modules included meteorological and irradiation variables, energy output, and the user's needs used to verify the NARX feedback neural networks. …”
Get full text

Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data by Stevica Cvetković, Milan Zdravković, Marko Ignjatović

“…Spanning a period of up to five years (2019–2024), the dataset originates from a SCADA system, capturing critical parameters such as heating fluid temperatures in the supply and return lines of both primary and secondary flows, energy transmission measurements, and outdoor temperatures from a local meteorological station. All measured data underwent comprehensive pre-processing using established methodologies, resulting in uniformly spaced hourly data free of errors or missing values. …”
Get full text