Near real-time altimetry for river monitoring-a global assessment of Sentinel-3

Jiang, Liguang1; Zhao, Yanan1; Nielsen, Karina2; Andersen, Ole B.2; Bauer-Gottwein, Peter3

2023-07-01

10.1088/1748-9326/acdd16

ENVIRONMENTAL RESEARCH LETTERS   影响因子和分区

1748-9326

For applications such as weather, flood, and drought forecasting that need water level estimates as soon as possible, near real-time (NRT) products are most appropriate. Unlike in-situ sensors for water level measurements, which typically deliver NRT data, satellite altimeters deliver physically meaningful observations with substantial delays after acquisition. The new radar altimetry mission, Sentinel-3, is capable of delivering NRT water levels within a few hours of observation. Currently, it remains unexplored how accurate the NRT product is in the context of river monitoring. This study assesses Sentinel-3A/B NRT products in mapping river water level variations globally. Based on a three-year comparison, we find that the water level derived from NRT is almost as good as that from the delayed products (median root-mean-square error (RMSE): 21.5 cm and 23.5 for S3A and S3B), and both products achieve very similar RMSE values (median: 52.5 cm and 59.0 cm for NRT and non-time critical) against in-situ data at 25 locations. This study highlights the usefulness of Sentinel-3 NRT product for river monitoring and forecasting. And we recommend the NRT product if latency is a primary concern.

altimetry near real-time Sentinel-3 river monitoring global assessment virtual station water level

SCI ; EI

英语

第一 ; 通讯

SUSTech research startup Grants["Y01296129","Y01296229"] ; CRSRI Open Research Program[SN: CKWV20221009/KY]

Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences

Environmental Sciences ; Meteorology & Atmospheric Sciences

WOS:001011546800001

IOP Publishing Ltd

20232614323516

Mean square error ; Rivers ; Weather forecasting

Meteorology:443 ; Mathematical Statistics:922.2

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
2.Tech Univ Denmark, Natl Space Inst, Lyngby 2800, Denmark
3.Tech Univ Denmark, Dept Environm & Resource Engn, DK-2800 Lyngby, Denmark

Jiang, Liguang,Zhao, Yanan,Nielsen, Karina,et al. Near real-time altimetry for river monitoring-a global assessment of Sentinel-3[J]. ENVIRONMENTAL RESEARCH LETTERS,2023,18(7).

Jiang, Liguang,Zhao, Yanan,Nielsen, Karina,Andersen, Ole B.,&Bauer-Gottwein, Peter.(2023).Near real-time altimetry for river monitoring-a global assessment of Sentinel-3.ENVIRONMENTAL RESEARCH LETTERS,18(7).

Jiang, Liguang,et al."Near real-time altimetry for river monitoring-a global assessment of Sentinel-3".ENVIRONMENTAL RESEARCH LETTERS 18.7(2023).