Results 211 to 220 of about 588,186 (371)
Descriptor: Five years of meteorological surface data at Oak Ridge Reserve in Tennessee [PDF]
arXivAccess to continuous, quality assessed meteorological data is critical for understanding the climatology and atmospheric dynamics of a region. Research facilities like Oak Ridge National Laboratory (ORNL) rely on such data to assess site-specific climatology, model potential emissions, establish safety baselines, and prepare for emergency scenarios. To
arxiv
Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines
Energy Science &Engineering, EarlyView.A comprehensive framework for wind turbine normal behavior modeling that integrates data preprocessing, RKS‐enhanced kernel PCA dimensionality reduction, and blended ensemble learning methodologies. The framework processes SCADA data through training, validation, and testing phases to develop a robust model capable of detecting anomalies at a 0.1 ...
Jianghao Zhu +4 more
wiley +1 more source
Limnology and Oceanography, Volume 67, Issue 12, Page 2691-2705, December 2022., 2022 Abstract Seasonal precipitation affects carbon turnover and methane accumulation in karst subterranean estuaries, the region of coastal carbonate aquifers where hydrologic and biogeochemical processes regulate material exchange between the land and ocean.
David Brankovits +2 more
wiley +1 more source
HSPEI: A 1‐km spatial resolution SPEI dataset across the Chinese mainland from 2001 to 2022
Geoscience Data JournalThe Standardized Precipitation Evapotranspiration Index (SPEI) is a widely recognized and effective tool for monitoring meteorological droughts. However, existing SPEI datasets suffer from spatial discontinuity or coarse spatial resolution problems ...
Haoming Xia +7 more
doaj +1 more source
The Impact of Meteorological Factors on Crop Price Volatility in India: Case studies of Soybean and Brinjal [PDF]
arXivClimate is an evolving complex system with dynamic interactions and non-linear feedback mechanisms, shaping environmental and socio-economic outcomes. Crop production is highly sensitive to such climatic fluctuations. This paper studies the price volatility of agricultural crops as influenced by meteorological variables (and many other environmental ...
arxiv
Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions
Energy Science &Engineering, EarlyView.The proposed MPPT controller (CRT‐POA‐PID) is implemented to enhance power efficiency in the PV system. The beta‐distributed point estimation technique is used for mismatch factor correction, improving performance. Simulations show a 98.42% efficiency improvement, a 4.54 dB reduction in total harmonic distortion, and faster convergence compared to ANN ...
Khuong Nguyen‐Vinh +2 more
wiley +1 more source
Depth and basin shape constrain ecosystem metabolism in lakes dominated by benthic primary producers
Limnology and Oceanography, Volume 67, Issue 12, Page 2763-2778, December 2022., 2022 Abstract Metabolism is one of the most fundamental ecosystem processes, but the drivers of variation in metabolic rates among lakes dominated by benthic primary producers remain poorly constrained. Here, we report the magnitudes and potential drivers of whole‐lake metabolism across 43 Swedish arctic–alpine lakes, based on the free‐water diel oxygen ...
Marcus Klaus +3 more
wiley +1 more source
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling [PDF]
arXivAir pollution has become a major threat to human health, making accurate forecasting crucial for pollution control. Traditional physics-based models forecast global air pollution by coupling meteorology and pollution processes, using either online or offline methods depending on whether fully integrated with meteorological models and run simultaneously.
arxiv