Results 1 to 10 of about 829 (143)

Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data [PDF]

open access: yesAtmospheric Measurement Techniques, 2017
The detection of convective initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socio-economic damage.
S. Lee   +4 more
doaj   +5 more sources

Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison [PDF]

open access: yesRemote Sensing, 2019
The geostationary earth orbit satellite—Himawari-8 loaded with the Advanced Himawari Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia−Pacific area.
Tingting Jiang   +3 more
doaj   +4 more sources

Comparison of polar mesospheric cloud observations by Himawari-8/AHI and Himawari-9/AHI

open access: yesEarth, Planets and Space
We have applied the polar mesospheric cloud (PMC) detection method to the full-disc images obtained by the Advanced Himawari Imager (AHI) on board the Japanese geostationary Earth orbit (GEO) meteorological satellite Himawari-9, which has been in ...
Y. Moriyama, T. T. Tsuda, Y. Ando
doaj   +2 more sources

Development of Himawari-8/Advanced Himawari Imager (AHI) Land Surface Temperature Retrieval Algorithm

open access: yesRemote Sensing, 2018
We developed land surface temperature (LST) retrieval algorithms based on the time of day and water vapor content using the Himawari-8/AHI (Advanced Himawari Imager) data, which is the Japanese next generation geostationary satellite.
Youn-Young Choi, Myoung-Seok Suh
doaj   +2 more sources

Generation and Evaluation of LAI and FPAR Products from Himawari-8 Advanced Himawari Imager (AHI) Data [PDF]

open access: yesRemote Sensing, 2019
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation are two of the essential biophysical variables used in most global models of climate, hydrology, biogeochemistry, and ecology.
Yepei Chen   +7 more
doaj   +2 more sources

An adapted hourly Himawari-8 fire product for China: principle, methodology and verification [PDF]

open access: yesEarth System Science Data, 2023
Wildfires exert strong influences on the environment, ecology, economy and public security. However, the existing hourly Himawari-8 fire product produced by the Japan Meteorological Agency (JMA) presents large uncertainties and is not suitable for ...
J. Chen   +11 more
doaj   +1 more source

Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method

open access: yesRemote Sensing, 2021
The Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite provides continuous observations every 10 min. This study investigates the assimilation of every-10-min radiance from the AHI with the POD-4DEnVar method.
Jingnan Wang   +5 more
doaj   +1 more source

Reliability Evaluation of the Joint Observation of Cloud Top Height by FY-4A and HIMAWARI-8

open access: yesRemote Sensing, 2021
It is well known that the measurement of cloud top height (CTH) is important, and a geostationary satellite is an important measurement method. However, it is difficult for a single geostationary satellite to observe the global CTH, so joint observation ...
Qinghui Li, Xuejin Sun, Xiaolei Wang
doaj   +1 more source

Convective Cloud Detection From Himawari-8 Advanced Himawari Imager Data Using a Dual-Branch Deformable Convolutional Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Himawari-8 satellite, equipped with an advanced Himawari imager (AHI), has been widely employed for cloud detection tasks due to its high-spatiotemporal resolution.
Renlong Hang   +4 more
doaj   +2 more sources

Simultaneous assimilation of Fengyun-4A and Himawari-8 aerosol optical depth retrieval to improve air quality simulations during one storm event over East Asia

open access: yesFrontiers in Earth Science, 2023
Aerosols are the main components of air pollutants, which are closely related to haze, dust storm and air pollution. In this study, an aerosol data assimilation system was developed using Gridpoint Statistical Interpolation (GSI) system to assimilate the
Xiaoli Xia   +4 more
doaj   +1 more source

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