Improving the accuracy of real-time precipitable water vapour using country-wide meteorological model with precise point positioning in Thailand

Charoenphon, Chaiyut; Satirapod, Chalermchon

doi:10.1080/14498596.2020.1758969

Cited by 10 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Geographically speaking, PW steadily rises from the north to the south of Southeast Asia (Figures 23 and 24). This conclusion is in line with Charoenphon and Satirapod's findings from 2020 [29].…”

Section: Resultssupporting

confidence: 91%

Evaluation and mapping of precipitable water in Southeast Asia using ground-based and satellite data for solar energy application

Sabooding

Taweekun

Fawzi

2023

Preprint

View full text Add to dashboard Cite

This article presents column integrated precipitable water (PW) readings from a NASA satellite and fourteen sites of the Aerosol Robotic Network (AERONET). The Terra satellite was compared with that obtained from ground-based observations in the tropics. It was found that the PW from the MODIS aboard the Terra satellite and those obtained from ground-based observations were in good agreement, with a root mean square error (RMSE) of 4.27% and a mean bias error (MBE) of 0.03% for the monthly. Develop empirical model to estimate the PW using data from relative humidity (AIRS) and temperature (AIRS) of ambient air. The model was developed to determine the daily and monthly PW based on PW data obtained from these stations over a 5-year period (2012–2016) and it was then validated against independent data for the previous 4-year period (2017–2020). It can be seen that the monthly PW values calculated using the empirical model had a RMSE of 3.64%. Develop a model2 to allow users to estimate the PW, namely relative humidity (AIRS) and temperature (GLDAS Model) of ambient air. This model2 performs reasonably when tested against an independent data set with the root mean square error (RMSE) and mean bias error (MBE) of 9.30% and − 0.05%, respectively (daily) and 3.58% and 0.02%, respectively (monthly). This research presents PW resource maps generated with the Geographic Information System (GIS) by satellite-based data from the Terra satellite for the 21-year period (2000–2020) and from AIRS (relative humidity and temperature) for the nineteen-year period (2002–2020). According to the monthly PW maps, Southeast Asia's PW values are generally high during the wet season (May to October) and low during the dry season (November to April) and according to the annual PW map, areas near the sea have high PW.

show abstract

Section: Resultssupporting

confidence: 91%

Evaluation and mapping of precipitable water in Southeast Asia using ground-based and satellite data for solar energy application

Sabooding

Taweekun

Fawzi

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Another possible approach is to use local models of temperature and pressure to convert ZTD to IWV, using local meteorological stations over a long time series. Charoenphon and Satirapod [26] followed this methodology in Thailand, finding that RMSE was below 3 mm, therefore it was considered suitable for weather nowcasting.…”

Section: Conversion Of Tropospheric Delays To Water Vapormentioning

confidence: 99%

Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics

Vaquero-Martínez

Antón

2021

Remote Sensing

View full text Add to dashboard Cite

After 30 years since the beginning of the Global Positioning System (GPS), or, more generally, Global Navigation Satellite System (GNSS) meteorology, this technique has proven to be a reliable method for retrieving atmospheric water vapor; it is low-cost, weather independent, with high temporal resolution and is highly accurate and precise. GNSS ground-based networks are becoming denser, and the first stations installed have now quite long time-series that allow the study of the temporal features of water vapor and its relevant role inside the climate system. In this review, the different GNSS methodologies to retrieve atmospheric water vapor content re-examined, such as tomography, conversion of GNSS tropospheric delay to water vapor estimates, analyses of errors, and combinations of GNSS with other sources to enhance water vapor information. Moreover, the use of these data in different kinds of studies is discussed. For instance, the GNSS technique is commonly used as a reference tool for validating other water vapor products (e.g., radiosounding, radiometers onboard satellite platforms or ground-based instruments). Additionally, GNSS retrievals are largely used in order to determine the high spatio-temporal variability and long-term trends of atmospheric water vapor or in models with the goal of determining its notable influence on the climate system (e.g., assimilation in numerical prediction, as input to radiative transfer models, study of circulation patterns, etc.).

show abstract

“…There are basically two approaches to estimate high precision position of GNSS such as baseline positioning and Precise Point Positioning (PPP) [ 44 ]. In this research, the PPP method was selected to achieve the centimeter level positioning accuracy with required precise orbit and clock data [ 45 , 46 ]. The International GNSS Service (IGS) is responsible for providing the precise orbit and clock products [ 47 ].…”

Section: Introductionmentioning

confidence: 99%

Estimating daily potential evapotranspiration using GNSS-based precipitable water vapor

Pipatsitee,

Ninsawat,

Tripathi

et al. 2023

Heliyon

View full text Add to dashboard Cite

Improving the accuracy of real-time precipitable water vapour using country-wide meteorological model with precise point positioning in Thailand

Cited by 10 publications

References 40 publications

Evaluation and mapping of precipitable water in Southeast Asia using ground-based and satellite data for solar energy application

Evaluation and mapping of precipitable water in Southeast Asia using ground-based and satellite data for solar energy application

Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics

Estimating daily potential evapotranspiration using GNSS-based precipitable water vapor

Contact Info

Product

Resources

About