The study examines spatial and temporal changes in monthly precipitable water vapour (PWV) over Thailand using 37 years of monthly ERA-Interim re-analysis data (1981-2017). PWV from ERA-Interim data was compared with that derived from radiosonde observations at four stations and it was shown to have an average root-mean-square error and mean bias error of 0.264 cm and -0.137 cm, respectively. Then, PWV from ERA data was used to estimate spatial patterns of monthly average PWV for the winter (Nov, Dec, Jan), summer (Feb, Mar, Apr, May) and rainy (Jun, Jul, Aug, Sep, Oct) seasons as well as the yearly averages. Statistically significant increases in PWV are found in the rainy season which has been related to the West Pacific index (WP). A sec...
The present study analyzed long-term observed visibility over Eastern Thailand, with a focus on urba...
Teak is an example of proxy data that can be used to indirectly deduce past climatic conditions. The...
The subject of change detection in climate time series has recently received greater interest as the...
The study examines spatial and temporal changes in monthly precipitable water vapour (PWV) over Thai...
Summer monsoon rains are a critical factor in Thailand's water resources and agricultural planning a...
The spatial and temporal variations in global precipitable water (PW) derived from satellite and rad...
Thailand is characterized by typical tropical monsoon climate, and is suffering serious water relate...
We report the delineation of the onset of the Asian Monsoon based on GPS sensing of water vapor in T...
Precipitable water vapor (PWV) is a parameter that used to describe the water vapor content in the a...
Monthly relative vorticity and the relative vorticity anomaly at pressure level 850 hPa are computed...
Summer monsoon rains are a critical factor in Thailand’s water resources and agricultural planning a...
Droughts grow concurrently in space and time; however, their spatiotemporal propagation is still not...
The historical BeiDou/GNSS observations from 2006 to 2016 at stations over Indo-China region were re...
The fidelity of gridded rainfall datasets is important for the characterization of rainfall features...
This study investigated the climatological pentad mean annual cycle of rainfall in Thailand and the ...
The present study analyzed long-term observed visibility over Eastern Thailand, with a focus on urba...
Teak is an example of proxy data that can be used to indirectly deduce past climatic conditions. The...
The subject of change detection in climate time series has recently received greater interest as the...
The study examines spatial and temporal changes in monthly precipitable water vapour (PWV) over Thai...
Summer monsoon rains are a critical factor in Thailand's water resources and agricultural planning a...
The spatial and temporal variations in global precipitable water (PW) derived from satellite and rad...
Thailand is characterized by typical tropical monsoon climate, and is suffering serious water relate...
We report the delineation of the onset of the Asian Monsoon based on GPS sensing of water vapor in T...
Precipitable water vapor (PWV) is a parameter that used to describe the water vapor content in the a...
Monthly relative vorticity and the relative vorticity anomaly at pressure level 850 hPa are computed...
Summer monsoon rains are a critical factor in Thailand’s water resources and agricultural planning a...
Droughts grow concurrently in space and time; however, their spatiotemporal propagation is still not...
The historical BeiDou/GNSS observations from 2006 to 2016 at stations over Indo-China region were re...
The fidelity of gridded rainfall datasets is important for the characterization of rainfall features...
This study investigated the climatological pentad mean annual cycle of rainfall in Thailand and the ...
The present study analyzed long-term observed visibility over Eastern Thailand, with a focus on urba...
Teak is an example of proxy data that can be used to indirectly deduce past climatic conditions. The...
The subject of change detection in climate time series has recently received greater interest as the...