A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation
Precipitable water vapor (PWV) is a key parameter in studying water vapor variations during severe weather phenomena. The high-quality PWV maps are also of significant value for monitoring and early warning of geological disasters, such as landslides and debris flows. This study presents a high-prec...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10824939/ |
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| author | Pengfei Xia Biyan Chen Ning Huang Xin Xie Qinglan Zhang |
| author_facet | Pengfei Xia Biyan Chen Ning Huang Xin Xie Qinglan Zhang |
| author_sort | Pengfei Xia |
| collection | DOAJ |
| description | Precipitable water vapor (PWV) is a key parameter in studying water vapor variations during severe weather phenomena. The high-quality PWV maps are also of significant value for monitoring and early warning of geological disasters, such as landslides and debris flows. This study presents a high-precision real-time PWV grid model for the China region, utilizing global navigation satellite system (GNSS) observations and surface meteorological data. The model addresses the limitations of existing PWV retrieval methods by incorporating an improved altitude correction model for pressure and temperature using ERA5 reanalysis data. The model achieves a spatial resolution of 0.5° × 0.5° and incorporates real-time updates for accurate monitoring of atmospheric moisture variations. The model's performance was evaluated using surface meteorological observations and compared with the HGPT2 model. Results showed that the new model outperforms HGPT2 in terms of accuracy, particularly in low-latitude regions. In addition, the model was successfully assimilated into the weather research and forecasting (WRF) model, significantly improving the accuracy of the initial atmospheric field for numerical weather prediction. This study demonstrates the potential of GNSS and surface meteorological data in constructing high-resolution, real-time PWV models. The developed model provides valuable insights into atmospheric moisture variations and enhances the accuracy of weather forecasting and climate research in the China region. |
| format | Article |
| id | doaj-art-a981ef66bbb14cf589e6b023fe5d21c4 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-a981ef66bbb14cf589e6b023fe5d21c42025-01-21T00:00:15ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01183433344710.1109/JSTARS.2025.352577010824939A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF AssimilationPengfei Xia0https://orcid.org/0000-0001-5499-0212Biyan Chen1https://orcid.org/0000-0001-7385-4371Ning Huang2Xin Xie3https://orcid.org/0000-0002-2551-2550Qinglan Zhang4GNSS Research Center, Wuhan University, Wuhan, ChinaSchool of Geosciences and Info-Physics of Central South University, Changsha, ChinaSchool of Geosciences and Info-Physics of Central South University, Changsha, ChinaGNSS Research Center, Wuhan University, Wuhan, ChinaGNSS Research Center, Wuhan University, Wuhan, ChinaPrecipitable water vapor (PWV) is a key parameter in studying water vapor variations during severe weather phenomena. The high-quality PWV maps are also of significant value for monitoring and early warning of geological disasters, such as landslides and debris flows. This study presents a high-precision real-time PWV grid model for the China region, utilizing global navigation satellite system (GNSS) observations and surface meteorological data. The model addresses the limitations of existing PWV retrieval methods by incorporating an improved altitude correction model for pressure and temperature using ERA5 reanalysis data. The model achieves a spatial resolution of 0.5° × 0.5° and incorporates real-time updates for accurate monitoring of atmospheric moisture variations. The model's performance was evaluated using surface meteorological observations and compared with the HGPT2 model. Results showed that the new model outperforms HGPT2 in terms of accuracy, particularly in low-latitude regions. In addition, the model was successfully assimilated into the weather research and forecasting (WRF) model, significantly improving the accuracy of the initial atmospheric field for numerical weather prediction. This study demonstrates the potential of GNSS and surface meteorological data in constructing high-resolution, real-time PWV models. The developed model provides valuable insights into atmospheric moisture variations and enhances the accuracy of weather forecasting and climate research in the China region.https://ieeexplore.ieee.org/document/10824939/ERA5 reanalysisglobal navigation satellite system (GNSS)precipitable water vapor (PWV)real-timeweather research and forecasting (WRF) |
| spellingShingle | Pengfei Xia Biyan Chen Ning Huang Xin Xie Qinglan Zhang A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ERA5 reanalysis global navigation satellite system (GNSS) precipitable water vapor (PWV) real-time weather research and forecasting (WRF) |
| title | A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation |
| title_full | A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation |
| title_fullStr | A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation |
| title_full_unstemmed | A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation |
| title_short | A High-Precision Real-Time PWV Grid Model for the China Region and Its Preliminary Performance in WRF Assimilation |
| title_sort | high precision real time pwv grid model for the china region and its preliminary performance in wrf assimilation |
| topic | ERA5 reanalysis global navigation satellite system (GNSS) precipitable water vapor (PWV) real-time weather research and forecasting (WRF) |
| url | https://ieeexplore.ieee.org/document/10824939/ |
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