naa a22 4500 51075368X CHVBK 20180411083114.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s13131-013-0350-0 doi (NATIONALLICENCE)springer-10.1007/s13131-013-0350-0 Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data [Elektronische Daten] [Qinglong Yu, Hui Wang, Liying Wan, Haibo Bi] Sea-ice concentration is a key item in global climate change research. Recent progress in remotely sensed sea-ice concentration product has been stimulated by the use of a new sensor, advanced microwave scanning radiometer for EOS (AMSR-E), which offers a spatial resolution of 6 km×4 km at 89GHz. A new inversion algorithm named LASI (linear ASI) using AMSR-E 89GHz data was proposed and applied in the antarctic sea areas. And then comparisons between the LASI ice concentration products and those retrieved by the other two standard algorithms, ASI (arctic radiation and turbulence interaction study sea-ice algorithm) and bootstrap, were made. Both the spatial and temporal variability patterns of ice concentration differences, LASI minus ASI and LASI minus bootstrap, were investigated. Comparative data suggest a high result consistency, especially between LASI and ASI. On the other hand, in order to estimate the LASI ice concentration errors introduced by the tie-points uncertainties, a sensitivity analysis was carried out. Additionally an LASI algorithm error estimation based on the field measurements was also completed. The errors suggest that the moderate to high ice concentration areas (>70%) are less affected (never exceeding 10%) than those in the low ice concentration. LASI and ASI consume 75 and 112 s respectively when processing the same AMSR-E time series thourghout the year 2010. To conclude, by using the LASI algorithm, not only the seaice concentration can be retrieved with at least an equal quality as that of the two extensively demonstrated operational algorithms, ASI and bootstrap, but also in a more efficient way than ASI. The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg, 2013 sea-ice concentration nationallicence AMSR-E nationallicence antarctic nationallicence LASI algorithm nationallicence Yu Qinglong National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut Wang Hui National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut Wan Liying National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut Bi Haibo Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut Acta Oceanologica Sinica Springer Berlin Heidelberg 32/9(2013-09-01), 38-43 0253-505X 32:9<38 2013 32 13131 https://doi.org/10.1007/s13131-013-0350-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13131-013-0350-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yu Qinglong National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut NATIONALLICENCE 700 1- Wang Hui National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut NATIONALLICENCE 700 1- Wan Liying National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut NATIONALLICENCE 700 1- Bi Haibo Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 773 0- Acta Oceanologica Sinica Springer Berlin Heidelberg 32/9(2013-09-01), 38-43 0253-505X 32:9<38 2013 32 13131 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer