Effect of the ingestion in the WRF model of different Sentinel-derived and GNSS-derived products: analysis of the forecasts of a high impact weather event-Reference-Cited by-同舟云学术

Effect of the ingestion in the WRF model of different Sentinel-derived and GNSS-derived products: analysis of the forecasts of a high impact weather event

Published:2019-07-17 Issue:sup4 Volume:52 Page:16-33
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Lagasio Martina¹^ORCID,Pulvirenti Luca¹,Parodi Antonio¹,Boni Giorgio²,Pierdicca Nazzareno³,Venuti Giovanna⁴,Realini Eugenio⁵,Tagliaferro Giulio⁵,Barindelli Stefano⁴,Rommen Bjorn⁶

Affiliation:

1. CIMA Research Foundation, Savona, Italy

2. DICCA, Department of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, Italy

3. Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy

4. Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy

5. Geomatics Research & Development srl, Lomazzo, Italy

6. European Space Agency (ESA-ESTEC), Noordwijk, The Netherlands

Funder

European Space Agency

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/22797254.2019.1642799

Reference52 articles.

1. Vegetation modeled as a water cloud

2. Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops

3. On the use of temporal series of L-and X-band SAR data for soil moisture retrieval. Capitanata plain case study

4. The parametrization of surface fluxes in large-scale models under free convection

5. GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Model Comprehensive Inversion of Surface Soil Moisture from Landsat Images Based on Machine Learning Algorithms;Sustainability;2024-04-23

2. Precipitable water vapor from Sentinel‐1 improves the forecast of extratropical storm Barbara;Quarterly Journal of the Royal Meteorological Society;2024-03-06

3. On the potential of Sentinel-1 for sub-field scale soil moisture monitoring;International Journal of Applied Earth Observation and Geoinformation;2023-06

4. Improving the accuracy of short-term numerical weather forecasts for the territory of Belarus using the mesoscale WRF model and earth remote sensing data;Doklady of the National Academy of Sciences of Belarus;2023-03-04

5. Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets;Atmospheric Research;2023-02