Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong ; volume:37 ; number:1 ; year:2019 ; pages:25-36
Annales geophysicae ; 37, Heft 1 (2019), 25-36
- Creator
-
Xiong, Zhaohui
Zhang, Bao
Yao, Yibin
- DOI
-
10.5194/angeo-37-25-2019
- URN
-
urn:nbn:de:101:1-2019011715151100129273
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xiong, Zhaohui
- Zhang, Bao
- Yao, Yibin
Other Objects (12)
A comparison between the GNSS tomography technique and the WRF model in retrieving 3D wet refractivity field in Hong Kong
Retrieving Precipitable Water Vapor From Shipborne Multi‐GNSS Observations
SPACEBORNE GNSS-R RETRIEVING ON GLOBAL SOIL MOISTURE APPROACHED BY SUPPORT VECTOR MACHINE LEARNING
Constructing water vapor maps by fusing InSAR, GNSS and WRF data
Modelling the High Mercury Wet deposition in the Southeastern US by WRF-GC
Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Jung and shamanism in dialogue : retrieving the soul, retrieving the sacred
Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0
The WRF greenhouse gas model (WRF-GHG)
Evaluation of IWV from the numerical weather prediction WRF model with PPP GNSS processing for Bulgaria
A comparison between the GNSS tomography technique and the WRF model in retrieving 3D wet refractivity field in Hong Kong
Retrieving Precipitable Water Vapor From Shipborne Multi‐GNSS Observations
SPACEBORNE GNSS-R RETRIEVING ON GLOBAL SOIL MOISTURE APPROACHED BY SUPPORT VECTOR MACHINE LEARNING
Constructing water vapor maps by fusing InSAR, GNSS and WRF data
Modelling the High Mercury Wet deposition in the Southeastern US by WRF-GC
Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Jung and shamanism in dialogue : retrieving the soul, retrieving the sacred
Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0
The WRF greenhouse gas model (WRF-GHG)
Evaluation of IWV from the numerical weather prediction WRF model with PPP GNSS processing for Bulgaria
A comparison between the GNSS tomography technique and the WRF model in retrieving 3D wet refractivity field in Hong Kong
Retrieving Precipitable Water Vapor From Shipborne Multi‐GNSS Observations
SPACEBORNE GNSS-R RETRIEVING ON GLOBAL SOIL MOISTURE APPROACHED BY SUPPORT VECTOR MACHINE LEARNING
Constructing water vapor maps by fusing InSAR, GNSS and WRF data
Modelling the High Mercury Wet deposition in the Southeastern US by WRF-GC
Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1
Jung and shamanism in dialogue : retrieving the soul, retrieving the sacred
Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0
The WRF greenhouse gas model (WRF-GHG)