Improvements on global meteorological observations from the current Fengyun 3 satellites and beyond

Yang, Jun; Zhang, Peng; Lu, Naimeng; Yang, Zhiyong; Shi, Jinming; Dong, Chaohua

doi:10.1080/17538947.2012.658666

Cited by 83 publications

(36 citation statements)

References 9 publications

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“…FY-3 is China's second-generation polar orbiting satellite series; its design was based on the previous polar orbiting satellite series and FY-3 will ultimately be a series of four individual satellites (FY-3A-FY-3D; Zhang et al 2009). The FY-3B satellite is the second satellite of the FY-3 series and was launched on 4 November 2010 (Yang et al 2012). This satellite is the first in the FY-3 satellite series to carry a Microwave Radiation Imager (MWRI) onboard that observes the Earth's surface in 10 microwave channels with the frequency ranging between 10 and 89 GHz.…”

Section: Introductionmentioning

confidence: 99%

Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite

Parinussa¹,

Wang

Holmes

et al. 2014

International Journal of Remote Sensing

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Soil moisture retrievals from China's recently launched meteorological Fengyun-3B satellite are presented. An established retrieval algorithm -the Land Parameter Retrieval Model (LPRM) -was applied to observations of the Microwave Radiation Imager (MWRI) onboard this satellite. The newly developed soil moisture retrievals from this satellite mission may be incorporated in an existing global microwave-based soil moisture database. To reach consistency with an existing data set of multi-satellite soil moisture retrievals, an intercalibration step was applied to correct brightness temperatures for sensor differences between MWRI and the radiometer of the Tropical Rainfall Measuring Mission's (TRMM's) Microwave Imager (TMI), resulting from their individual calibration procedures. The newly derived soil moisture and vegetation optical depth product showed a high degree of consistency with parallel retrievals from both TMI and WindSat, the two satellites that are observing during the same time period and are already part of the LPRM database. High correlation (R > 0.60 at night-time) between the LPRM and official MWRI soil moisture products was shown over the validation networks experiencing semiarid climate conditions. The skills drop below 0.50 over forested regions, with the performance of the LPRM product slightly better than the official MWRI product. To demonstrate the promising use of the MWRI soil moisture in drought monitoring, a case study for a recent and unusually dry East Asian summer Monsoon was conducted. The MWRI soil moisture products are able to effectively delineate the regions that are experiencing a considerable drought, highly in agreement with spatial patterns of precipitation and temperature anomalies. The results in this study give confidence in the soil moisture retrievals from the MWRI onboard Fengyun-3B. The integration of the newly derived products into the existing database will allow a better understanding the diurnal, seasonal and interannual variations, and long-term (35 year) changes of soil moisture at the global scale, consequently enhancing hydrological, meteorological, and climate studies.

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Section: Introductionmentioning

confidence: 99%

Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite

Parinussa¹,

Wang

Holmes

et al. 2014

International Journal of Remote Sensing

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“…Since the first passive microwave satellite sensor, launched in 1978, various studies have demonstrated that it is feasible to retrieve soil moisture from passive microwave satellite missions [4]. Passive microwave satellite missions have been widely used for soil moisture estimation, such as the Soil Moisture and Ocean Salinity (SMOS) mission [5,6], the Soil Moisture Active/Passive (SMAP) mission [7], the Special Sensor Microwave/Imager (SSM/I) mission, the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) [8,9], the Advanced Microwave Scanning Radiometer 2 (AMSR2) mission [10], and a series of China's Fengyun 3 (FY-3) satellites, consisting of FY-3A, FY-3B, FY-3C, and FY-3D [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Fengyun-3C Soil Moisture Products Using In-Situ Data from the Chinese Automatic Soil Moisture Observation Stations: A Case Study in Henan Province, China

Zhu

Pearson

et al. 2019

Water

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Soil moisture (SM) products derived from passive satellite missions are playing an increasingly important role in agricultural applications, especially crop monitoring and disaster warning. Evaluating the dependability of satellite-derived soil moisture products on a large scale is crucial. In this study, we assessed the level 2 (L2) SM product from the Chinese Fengyun-3C (FY-3C) radiometer against in-situ measurements collected from the Chinese Automatic Soil Moisture Observation Stations (CASMOS) during a one-year period from 1 January 2016 to 31 December 2016 across Henan in China. In contrast, we also investigated the skill of the Advanced Microwave Scanning Radiometer 2 (AMSR2) and Soil Moisture Active/Passive (SMAP) SM products simultaneously. Four statistical parameters were used to evaluate these products’ reliability: mean difference, root-mean-square error (RMSE), unbiased RMSE (ubRMSE), and the correlation coefficient. Our assessment results revealed that the FY-3C L2 SM product generally showed a poor correlation with the in-situ SM data from CASMOS on both temporal and spatial scales. The AMSR2 L3 SM product of JAXA (Japan Aerospace Exploration Agency) algorithm had a similar level of skill as FY-3C in the study area. The SMAP L3 SM product outperformed the FY-3C temporally but showed lower performance in capturing the SM spatial variation. A time-series analysis indicated that the correlations and estimated error varied systematically through the growing periods of the key crops in our study area. FY-3C L2 SM data tended to overestimate soil moisture during May, August, and September when the crops reached maximum vegetation density and tended to underestimate the soil moisture content during the rest of the year. The comparison between the statistical parameters and the ground vegetation water content (VWC) further showed that the FY-3C SM product performed much better under a low VWC condition (<0.3 kg/m2) than a high VWC condition (>0.3 kg/m2), and the performance generally decreased with increased VWC. To improve the accuracy of the FY-3C SM product, an improved algorithm that can better characterize the variations of the ground VWC should be applied in the future.

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“…GNOS is also mounted on FY-3D (which was launched on November 2017) and it will be on all the subsequent Chinese Fengyun satellites. The FY-3 series is expected to provide GNOS RO measurements continuously until at least 2030 (Yang et al, 2012), so this is a potentially important source of data for numerical weather prediction (NWP) and climate reanalysis applications.…”

Section: Introductionmentioning

confidence: 99%

Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications

Liao¹,

Healy²,

Zhang³

2019

Atmos. Meas. Tech.

Self Cite

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Abstract. The Chinese radio occultation sounder GNOS (Global Navigation Occultation Sounder) is on the FY-3C satellite, which was launched on 23 September 2013. Currently, GNOS data are transmitted via the Global Telecommunications System (GTS), providing 450–500 profiles per day for numerical weather prediction applications. This paper describes the processing of the GNOS profiles with large biases related to L2 signal degradation. A new extrapolation procedure in bending angle space corrects the L2 bending angles using a thin ionosphere model and the fitting relationship between L1 and L2. We apply the approach to improve the L2 extrapolation of GNOS. The new method can effectively eliminate about 90 % of large departures. In addition to the procedure for the L2 degradation, this paper also describes our quality control (QC) for FY-3C GNOS. A noise estimate for the new L2 extrapolation can be used as a QC parameter to evaluate the performance of the extrapolation. A statistical comparison between GNOS bending angles and short-range ECMWF (European Centre for Medium-Range Weather Forecasts) forecast bending angles demonstrates that GNOS performs almost as well as the Global Navigation Satellite System (GNSS) Receiver for Atmospheric Sounding (GRAS), especially in the core region from around 10 to 35 km. The GNOS data with the new L2 extrapolation are suitable for assimilation into numerical weather prediction systems.

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Improvements on global meteorological observations from the current Fengyun 3 satellites and beyond

Cited by 83 publications

References 9 publications

Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite

Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite

Evaluation of Fengyun-3C Soil Moisture Products Using In-Situ Data from the Chinese Automatic Soil Moisture Observation Stations: A Case Study in Henan Province, China

Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications

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