Ultra-short-term wind-speed bi-forecasting system via artificial intelligence and a double-forecasting scheme
Y Nie, N Liang, J Wang - Applied Energy, 2021 - Elsevier
A key issue in the wind power industry is the accuracy and stability of wind-speed
forecasting, which has an important impact on the power system management and market …
forecasting, which has an important impact on the power system management and market …
Water vapor‐weighted mean temperature and its impact on the determination of precipitable water vapor and its linear trend
Water vapor‐weighted mean temperature, Tm, is a vital parameter for retrieving precipitable
water vapor (PWV) from the zenith wet delay (ZWD) of Global Navigation Satellite Systems …
water vapor (PWV) from the zenith wet delay (ZWD) of Global Navigation Satellite Systems …
Applications of GNSS-RO to numerical weather prediction and tropical cyclone forecast
W Bai, N Deng, Y Sun, Q Du, J Xia, X Wang, X Meng… - Atmosphere, 2020 - mdpi.com
The global navigation satellite system (GNSS) radio occultation (RO) technique is an
atmospheric sounding technique that originated in the 1990s. The data provided by this …
atmospheric sounding technique that originated in the 1990s. The data provided by this …
A deep convolutional neural network model for improving WRF simulations
Advancements in numerical weather prediction (NWP) models have accelerated, fostering a
more comprehensive understanding of physical phenomena pertaining to the dynamics of …
more comprehensive understanding of physical phenomena pertaining to the dynamics of …
4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF
The GNSS data assimilation is currently widely discussed in the literature with respect to the
various applications for meteorology and numerical weather models. Data assimilation …
various applications for meteorology and numerical weather models. Data assimilation …
GNSS-based machine learning storm nowcasting
Nowcasting of severe weather events and summer storms, in particular, are intensively
studied as they have great potential for large economic and societal losses. Use of Global …
studied as they have great potential for large economic and societal losses. Use of Global …
Research on a novel combination system on the basis of deep learning and swarm intelligence optimization algorithm for wind speed forecasting
X He, Y Nie, H Guo, J Wang - IEEE access, 2020 - ieeexplore.ieee.org
Wind speed forecasting takes a significant place in electric system owing to the fact that it
has significant influence on operation efficiency and economic benefits. Aimming at …
has significant influence on operation efficiency and economic benefits. Aimming at …
Refining the empirical global pressure and temperature model with the ERA5 reanalysis and radiosonde data
Global pressure and temperature (GPT) models are widely available and easy-to-use in
tropospheric delay estimation and GNSS water vapor retrieval, but cannot capture the …
tropospheric delay estimation and GNSS water vapor retrieval, but cannot capture the …
Determination of zenith hydrostatic delay and its impact on GNSS-derived integrated water vapor
Surface pressure is a necessary meteorological variable for the accurate determination of
integrated water vapor (IWV) using Global Navigation Satellite System (GNSS). The lack of …
integrated water vapor (IWV) using Global Navigation Satellite System (GNSS). The lack of …
Parameterisation of the GNSS troposphere tomography domain with optimisation of the nodes' distribution
Water vapour is a highly variable constituent of the troposphere; thus, its high-resolution
measurements are of great importance to weather prediction systems. The Global …
measurements are of great importance to weather prediction systems. The Global …