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[HTML][HTML] Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets
Predicting extreme weather events in a short time period and their develo** in localized
areas is a challenge. The nowcasting of severe and extreme weather events is an issue for …
areas is a challenge. The nowcasting of severe and extreme weather events is an issue for …
Applications of GNSS-RO to numerical weather prediction and tropical cyclone forecast
W Bai, N Deng, Y Sun, Q Du, J **a, 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 …
Multi-model comprehensive inversion of surface soil moisture from Landsat images based on machine learning algorithms
W Lv, X Hu, X Li, J Zhao, C Liu, S Li, G Li, H Zhu - Sustainability, 2024 - mdpi.com
Soil moisture plays an important role in maintaining ecosystem stability and sustainable
development, especially for the upper reaches of the Yellow River region. Therefore …
development, especially for the upper reaches of the Yellow River region. Therefore …
A synergistic use of a high-resolution numerical weather prediction model and high-resolution earth observation products to improve precipitation forecast
The Mediterranean region is frequently struck by severe rainfall events causing numerous
casualties and several million euros of damages every year. Thus, improving the forecast …
casualties and several million euros of damages every year. Thus, improving the forecast …
[HTML][HTML] On the potential of Sentinel-1 for sub-field scale soil moisture monitoring
Soil moisture (SM) datasets at high spatial resolutions are beneficial for a wide range of
applications, such as monitoring and prediction of hydrological extremes, numerical weather …
applications, such as monitoring and prediction of hydrological extremes, numerical weather …
Precipitable water vapor from Sentinel‐1 improves the forecast of extratropical storm Barbara
High‐resolution water vapor fields retrieved over Iberia during the passage of storm Barbara
(October 19–20, 2020) by Sentinel‐1 and assimilated by the Weanther Research & …
(October 19–20, 2020) by Sentinel‐1 and assimilated by the Weanther Research & …
On the potential of improving WRF model forecasts by assimilation of high-resolution GPS-derived water-vapor maps augmented with METEOSAT-11 data
Improving the accuracy of numerical weather predictions remains a challenging task. The
absence of sufficiently detailed temporal and spatial real-time in-situ measurements poses a …
absence of sufficiently detailed temporal and spatial real-time in-situ measurements poses a …
The predictive capacity of the high resolution weather research and forecasting model: a year-long verification over Italy
Numerical models are operationally used for weather forecasting activities to reduce the
risks of several hydro-meteorological disasters. The overarching goal of this work is to …
risks of several hydro-meteorological disasters. The overarching goal of this work is to …
Initialization of WRF Model Simulations With Sentinel-1 Wind Speed for Severe Weather Events
The model initialization with high-resolution SAR wind data provided by the Sentinel-1
mission and its impact on the meteorological model WRF-ARW simulations is discussed …
mission and its impact on the meteorological model WRF-ARW simulations is discussed …
Meteorological osses for new zenith total delay observations: Impact assessment for the hydroterra geosynchronous satellite on the october 2019 genoa event
Along the Mediterranean coastlines, intense and localized rainfall events are responsible for
numerous casualties and several million euros of damage every year. Numerical forecasts …
numerous casualties and several million euros of damage every year. Numerical forecasts …