Sea ice concentration retrieval based on SMAP radar data

Wen Bin; Zhou Xuan; Chong Jinsong; Shi Lijian; Ye Xiaomin

doi:10.3969/j.issn.0253-4193.2018.06.003

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Wen Bin, Zhou Xuan, Chong Jinsong, Shi Lijian, Ye Xiaomin. Sea ice concentration retrieval based on SMAP radar data[J]. Haiyang Xuebao, 2018, 40(6): 29-39. doi: 10.3969/j.issn.0253-4193.2018.06.003

Citation:

Wen Bin, Zhou Xuan, Chong Jinsong, Shi Lijian, Ye Xiaomin. Sea ice concentration retrieval based on SMAP radar data[J]. Haiyang Xuebao, 2018, 40(6): 29-39. doi: 10.3969/j.issn.0253-4193.2018.06.003

Wen Bin, Zhou Xuan, Chong Jinsong, Shi Lijian, Ye Xiaomin. Sea ice concentration retrieval based on SMAP radar data[J]. Haiyang Xuebao, 2018, 40(6): 29-39. doi: 10.3969/j.issn.0253-4193.2018.06.003

Citation:

Wen Bin, Zhou Xuan, Chong Jinsong, Shi Lijian, Ye Xiaomin. Sea ice concentration retrieval based on SMAP radar data[J]. Haiyang Xuebao, 2018, 40(6): 29-39. doi: 10.3969/j.issn.0253-4193.2018.06.003

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Sea ice concentration retrieval based on SMAP radar data

doi: 10.3969/j.issn.0253-4193.2018.06.003

1.
61741 Troops of PLA, Beijing 100094, China
2.
61741 Troops of PLA, Beijing 100094, China;Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
3.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
4.
National Satellite Ocean Application Service, Beijing 100081, China

Received Date: 2017-06-29
Rev Recd Date: 2017-10-19

Abstract

Abstract

The Soil Moisture Active Passive (SMAP) was launched by National Aeronautics and Space Administration (NASA) in early 2015, which carried an L-band Radar with a conical scanning antenna. It has the constant incidence angle, the wide swath and the km-scale resolution. And thus it has a significant potential for observing sea ice. The paper establishes the 3.125 km matchup data set by using the University of Bremen sea ice concentration and SMAP radar data, and the 25 km matchup data set by using the National Snow and Ice Data Center (NSIDC) sea ice concentration and SMAP radar data. A sea ice concentration algorithm based on artificial neural network is proposed by the relation between sea ice concentration and HH-polarized NRCS, HH/HV polarized ratio, HH-polarized difference. The retrieved sea ice concentration is validated by using sea ice concentrations from NSDIC and the University of Bremen. The root mean square differences (RMSDs) and biases of sea ice concentration between SMAP Radar and the University of Bremen are 0.14 and 0.07, respectively. The RMSDs and biased of SMAP sea ice concentration versus NSDIC ones are 0.18 and 0.04, respectively. The results show that SMAP sea ice concentration is basically consistent with the operational sea ice concentration.
- Soil Moisture Active Passive (SMAP) Radar,
- sea ice concentration,
- retrieval,
- neural network

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References(14)

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