Comparison of precipitable water vapor derived from radiosonde, GPS, and Moderate‐Resolution Imaging Spectroradiometer measurements
By Zhenhong Li, J. Muller, P. Cross. 2003
263 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography
View Paper: https://www.semanticscholar.org/paper/2f658962bb57efd6718e7777d4d6e5ccd5132be2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Astronomy and Astrophysics
In Oceanography
Citations in the corpus
- Statistical comparison of InSAR tropospheric correction techniques (2015, result): “…ð4Þ This can nowbe further rewritten in terms of the spectrometer delay as: ϕwettropo ¼ −4π λ Π cosθ PWV; ð5Þ where Π is a conversion factor (Bevis et al., 1992; Niell et al., 2001; Li et al., 2003; Li et al., 2006b), typically around 6.2, that varies with the temperature of the troposphere,…”
- Advanced InSAR atmospheric correction: MERIS/MODIS combination and stacked water vapour models (2009, methodology): “…to overestimate water vapour compared with Global Positioning System (GPS) ground-based receivers by a scale factor of 1.05, indicating that MODIS water vapour products should be calibrated (e.g. using a linear model) before being applied to correct InSAR water vapour effects (Li et al. 2003).”
- Generation of real‐time mode high‐resolution water vapor fields from GPS observations (2017, methodology): “…pointwise GPS PWVmeasurements agree to those from radiosondes and microwave radiometers with standard deviations of about 1–2mm [e.g., Ohtani and Naito, 2000; Liou et al., 2001; Li et al., 2003] and may then be interpolated to provide PWV fields, which has been attempted by using different models.”