[HTML][HTML] MODIS collection 6 MAIAC algorithm
A Lyapustin, Y Wang, S Korkin… - Atmospheric …, 2018 - amt.copernicus.org
This paper describes the latest version of the algorithm MAIAC used for processing the
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …
Big Earth data analytics: A survey
Big Earth data are produced from satellite observations, Internet-of-Things, model
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …
Precipitable water vapor fusion based on a generalized regression neural network
Water vapor plays an important role in Earth's weather and climate processes and energy
transfer. Plenty of techniques have developed to monitor precipitable water vapor (PWV), but …
transfer. Plenty of techniques have developed to monitor precipitable water vapor (PWV), but …
Consistency evaluation of precipitable water vapor derived from ERA5, ERA-Interim, GNSS, and radiosondes over China
Y Zhang, C Cai, B Chen, W Dai - Radio Science, 2019 - ieeexplore.ieee.org
As an important component of atmosphere, water vapor is highly involved in the global water
cycle and energy exchange. To date, Global Navigation Satellite System (GNSS) and …
cycle and energy exchange. To date, Global Navigation Satellite System (GNSS) and …
Evaluation of radiosonde, MODIS-NIR-Clear, and AERONET precipitable water vapor using IGS ground-based GPS measurements over China
Water vapor is one of the major greenhouse gases in the atmosphere and also the key
parameter affecting the hydrological cycle, aerosol properties, aerosol-cloud interactions …
parameter affecting the hydrological cycle, aerosol properties, aerosol-cloud interactions …
Development of an improved model for prediction of short-term heavy precipitation based on GNSS-derived PWV
Nowadays, the Global Navigation Satellite Systems (GNSS) have become an effective
atmospheric observing technique to remotely sense precipitable water vapor (PWV) mainly …
atmospheric observing technique to remotely sense precipitable water vapor (PWV) mainly …
[HTML][HTML] Improving the capability of water vapor retrieval from Landsat 8 using ensemble machine learning
Precipitable water vapor (PWV) facilitates the exchange of water and energy between the
Earth's surface and the surrounding atmosphere. PWV can be retrieved by employing the …
Earth's surface and the surrounding atmosphere. PWV can be retrieved by employing the …
GPS-based PWV for precipitation forecasting and its application to a typhoon event
Q Zhao, Y Yao, W Yao - Journal of Atmospheric and Solar-Terrestrial …, 2018 - Elsevier
The temporal variability of precipitable water vapour (PWV) derived from Global Navigation
Satellite System (GNSS) observations can be used to forecast precipitation events. A …
Satellite System (GNSS) observations can be used to forecast precipitation events. A …
Water vapour products from ERA5, MERSI‐II/FY‐3D, OLCI/Sentinel‐3A, OLCI/Sentinel‐3B, MODIS/Aqua and MODIS/Terra in Australia: A comparison against in situ …
J Xu, Z Liu - Quarterly Journal of the Royal Meteorological …, 2023 - Wiley Online Library
Australia is a region of high sensitivity to the El Niño–Southern Oscillation events in
association with atmospheric water vapour, which is an essential atmospheric parameter in …
association with atmospheric water vapour, which is an essential atmospheric parameter in …
Voxel-optimized regional water vapor tomography and comparison with radiosonde and numerical weather model
Water vapor tomography has been developed as a powerful tool to model spatial and
temporal distribution of atmospheric water vapor. Global navigation satellite systems (GNSS) …
temporal distribution of atmospheric water vapor. Global navigation satellite systems (GNSS) …