Evaluation of Cloud Top Height Retrievals from China’s Next-Generation Geostationary Meteorological Satellite FY-4A

Tan, Zhonghui; Ma, Shuo; Zhao, Xianbin; Yan, Wei; Wei, Lixiang

doi:10.1007/s13351-019-8123-0

Cited by 23 publications

(11 citation statements)

References 25 publications

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“…CTH is the cloud top height derived by the FY‐4A geostationary satellite for the position of each ASIM‐detected single‐pulse blue flash. The CTH has a vertical resolution of 1 km (Tan et al., 2019).…”

Section: Observations and Datamentioning

confidence: 99%

“…Figure 1 shows the cloud top height (CTH)—up to 14–15 km—derived from measurements by the Fengyun‐4A (FY‐4A) satellite launched on 11 December 2016 and located at 105°E longitude observing the Indian Ocean. The CTH retrieved by FY‐4A has a vertical resolution of 1 km (Tan et al., 2019). FY‐4A is the first of a new generation of Chinese geostationary meteorological satellites (Yang et al., 2017).…”

Section: Observation Of Blue Flashes and Lightningmentioning

confidence: 99%

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Blue Optical Observations of Narrow Bipolar Events by ASIM Suggest Corona Streamer Activity in Thunderstorms

et al. 2020

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While narrow bipolar events (NBEs) could be related with lightning initiation, their intrinsic physics remains in question. Here we report on optical measurements by the Atmosphere‐Space Interactions Monitor (ASIM) on the International Space Station (ISS) of blue flashes associated with NBEs. They are observed in a narrow blue band centered at 337 nm, with no simultaneous activity at 777.4 nm, considered a strong lightning emission line. From radio waves measured from the ground, we find that 7 of 10 single‐pulse blue events can be identified as positive NBEs. The source altitudes estimated from optical and radio signals agree and indicate that the sources of the blue flashes are located between ∼8.5 and ∼14 km, in a cloud reaching 14–15 km altitude. The observations suggest that single‐pulse blue flashes are from cold ionization waves, so‐called streamers, and that positive NBEs are corona discharges formed by many streamers.

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Section: Observations and Datamentioning

confidence: 99%

Section: Observation Of Blue Flashes and Lightningmentioning

confidence: 99%

Blue Optical Observations of Narrow Bipolar Events by ASIM Suggest Corona Streamer Activity in Thunderstorms

et al. 2020

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“…Land variables such as landcover, soil moisture content, albedo, vegetation indices, and land surface temperature (LST) are usually derived from single sensor or satellite data sources such as Landsat Thematic Mapper (TM) [6][7][8] or the Moderate Resolution Imaging Spectroradiometer geo-stationary meteorological satellite [69][70][71], as well as atmospheric column total precipitable water and atmospheric profile products from polar satellites [22,72,73]. Long-sequence atmospheric profile retrieval products (such as MYD07 and AIRS) provide new solutions for obtaining atmospheric boundary layer parameters without reliance on ground measurements [37,74].…”

Section: Introductionmentioning

confidence: 99%

Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data

Zhu

Niu

et al. 2020

Remote Sensing

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Evapotranspiration (ET) is one of the components in the water cycle and the surface energy balance systems. It is fundamental information for agriculture, water resource management, and climate change research. This study presents a scheme for regional actual evapotranspiration estimation using multi-source satellite data to compute key land and meteorological variables characterizing land surface, soil, vegetation, and the atmospheric boundary layer. The algorithms are validated using ground observations from the Heihe River Basin of northwest China. Monthly data estimates at a resolution of 1 km from the proposed algorithms compared well with ground observation data, with a root mean square error (RMSE) of 0.80 mm and a mean relative error (MRE) of −7.11%. The overall deviation between the average yearly ET derived from the proposed algorithms and ground-based water balance measurements was 9.44% for a small watershed and 1% for the entire basin. This study demonstrates that both accuracy and spatial depiction of actual evapotranspiration estimation can be significantly improved by using multi-source satellite data to measure the required land surface and meteorological variables. This reduces dependence on spatial interpolation of ground-derived meteorological variables which can be problematic, especially in data-sparse regions, and allows the production of region-wide ET datasets.

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“…Note that the MMCR‐derived CTHs are similar to or higher than the FY4‐derived CTHs. This result is possibly related to the reason that FY‐4A tends to underestimate the CTHs for ice crystal clouds (Tan et al, 2019). The seasonal average difference in CTH between the MMCR and FY‐4A is in the range of 0.05–0.48 km, which is also highest in summer.…”

Section: Resultsmentioning

confidence: 99%

Fine vertical structures of cloud from a ground‐based cloud radar over the western Tianshan mountains

Chen

Yang

Zeng

et al. 2022

Meteorological Applications

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In this study, the grounded‐based Ka‐band millimetre‐wave cloud radar (MMCR) is used to analyse the cloud characteristics over the western Tianshan mountains. The cloud top height (CTH) obtained by MMCR is verified by comparing it with the Fengyun‐4A (FY‐4A) observations. Overall, the MMCR‐obtained CTHs are attenuated and lower than the FY‐4A‐obtained CTHs under precipitation conditions. Thus, the FY‐4A data is used to complement MMCR data when there is rainfall. The diurnal, seasonal variation and vertical structures of the cloud are further examined using the combination of MMCR and FY‐4A. The result indicates that the CTH and cloud base height (CBH) are highest in summer and lowest in winter. Also, clouds tend to form frequently at night in spring, summer, and winter. Although in autumn, clouds tend to form most frequently in the morning. This may be related to the diurnal variation of temperature, humidity, wind speed, and wind direction. Moreover, the CTHs occur most frequently at heights of 8–9 km in spring and autumn, 9–10 km in summer, and 7–8 km in winter. The high CTHs caused by the strong convective activities in summer may be related to sufficient water vapour transport. These corrected CTH data are also used to classify cloud types, the results indicate that the proportion of high clouds is highest in summer, while the proportion of medium clouds is lower than in the other three seasons. Also, the average CTH of the low, medium, and high clouds is highest in summer and lowest in winter.

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Evaluation of Cloud Top Height Retrievals from China’s Next-Generation Geostationary Meteorological Satellite FY-4A

Cited by 23 publications

References 25 publications

Blue Optical Observations of Narrow Bipolar Events by ASIM Suggest Corona Streamer Activity in Thunderstorms

Blue Optical Observations of Narrow Bipolar Events by ASIM Suggest Corona Streamer Activity in Thunderstorms

Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data

Fine vertical structures of cloud from a ground‐based cloud radar over the western Tianshan mountains

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