Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-4963-2020
https://doi.org/10.5194/amt-13-4963-2020
Research article
 | 
18 Sep 2020
Research article |  | 18 Sep 2020

Validating HY-2A CMR precipitable water vapor using ground-based and shipborne GNSS observations

Zhilu Wu, Yanxiong Liu, Yang Liu, Jungang Wang, Xiufeng He, Wenxue Xu, Maorong Ge, and Harald Schuh

Related authors

HHU24SWDSCS: A shallow-water depth model over island areas in South China Sea retrieved from Satellite-derived bathymetry
Yihao Wu, Hongkai Shi, Dongzhen Jia, Ole Baltazar Andersen, Xiufeng He, Zhicai Luo, Yu Li, Shiyuan Chen, Xiaohuan Si, Sisu Diao, Yihuang Shi, and Yanglin Chen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-443,https://doi.org/10.5194/essd-2024-443, 2024
Preprint under review for ESSD
Short summary
Empirical Modeling of Tropospheric Delays and Uncertainty
Jungang Wang, Junping Chen, and Yize Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1803,https://doi.org/10.5194/egusphere-2024-1803, 2024
Short summary
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
Haiyang Shi, Geping Luo, Olaf Hellwich, Xiufeng He, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 27, 4551–4562, https://doi.org/10.5194/hess-27-4551-2023,https://doi.org/10.5194/hess-27-4551-2023, 2023
Short summary
IMPROVED INDOOR POSITIONING USING FINGERPRINT TECHNIQUE AND WEIGHTED K-NEAREST NEIGHBOUR
S. Naderi Salim, M. M. Alizadeh, S. Chamankar, and H. Schuh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 575–580, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-575-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-575-2023, 2023
DETECTING MULTIPATH EFFECTS ON SMARTPHONE GNSS MEASUREMENTS USING CMCD AND ELEVATION-DEPENDENT SNR SELECTION TECHNIQUE
S. Nasr-Azadani, M.M. Alizadeh, and H. Schuh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 595–602, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-595-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-595-2023, 2023

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Closing the gap in the tropics: the added value of radio-occultation data for wind field monitoring across the Equator
Julia Danzer, Magdalena Pieler, and Gottfried Kirchengast
Atmos. Meas. Tech., 17, 4979–4995, https://doi.org/10.5194/amt-17-4979-2024,https://doi.org/10.5194/amt-17-4979-2024, 2024
Short summary
Verification of weather-radar-based hail metrics with crowdsourced observations from Switzerland
Jérôme Kopp, Alessandro Hering, Urs Germann, and Olivia Martius
Atmos. Meas. Tech., 17, 4529–4552, https://doi.org/10.5194/amt-17-4529-2024,https://doi.org/10.5194/amt-17-4529-2024, 2024
Short summary
Atmospheric motion vector (AMV) error characterization and bias correction by leveraging independent lidar data: a simulation using an observing system simulation experiment (OSSE) and optical flow AMVs
Hai Nguyen, Derek Posselt, Igor Yanovsky, Longtao Wu, and Svetla Hristova-Veleva
Atmos. Meas. Tech., 17, 3103–3119, https://doi.org/10.5194/amt-17-3103-2024,https://doi.org/10.5194/amt-17-3103-2024, 2024
Short summary
Description and validation of the Japanese algorithm for radiative flux and heating rate products with all four EarthCARE instruments: Pre-launch test with A-Train
Akira Yamauchi, Kentaroh Suzuki, Eiji Oikawa, Miho Sekiguchi, Takashi Nagao, and Haruma Ishida
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-78,https://doi.org/10.5194/amt-2024-78, 2024
Revised manuscript accepted for AMT
Short summary
Rotary-wing drone-induced flow – comparison of simulations with lidar measurements
Liqin Jin, Mauro Ghirardelli, Jakob Mann, Mikael Sjöholm, Stephan Thomas Kral, and Joachim Reuder
Atmos. Meas. Tech., 17, 2721–2737, https://doi.org/10.5194/amt-17-2721-2024,https://doi.org/10.5194/amt-17-2721-2024, 2024
Short summary

Cited articles

Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., 97, 15787–15801, https://doi.org/10.1029/92JD01517, 1992. 
Bevis, M., Businger, S., Chiswell, S., Herring, T. A., Anthes, R. A., Rocken, C., and Ware, R. H.: GPS meteorology: Mapping zenith wet delays onto precipitable water, J. Appl. Meteorol., 33, 379–386, 1994. 
Böhm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data, Geophys. Res. Lett., 33, L07304, https://doi.org/10.1029/2005GL025546, 2006. 
Böhm, J., Heinkelmann, R., and Schuh, H.: Short note: a global model of pressure and temperature for geodetic applications, J. Geodesy, 81, 679–683, 2007. 
Böhm, J. and Schuh, H.: Atmospheric effects in space geodesy, Springer, Berlin, 2013. 
Download
Short summary
The HY-2A calibration microwave radiometer (CMR) water vapor product is validated using ground-based GNSS observations along the coastline and shipborne GNSS observations over the Indian Ocean. The validation result shows that HY-2A CMR PWV agrees well with ground-based GNSS PWV, with 2.67 mm in rms within 100 km and an RMS of 1.57 mm with shipborne GNSS for the distance threshold of 100 km. Ground-based GNSS and shipborne GNSS agree with HY-2A CMR well.