|
Hokkaido University Collection of Scholarly and Academic Papers >
Institute of Low Temperature Science >
Peer-reviewed Journal Articles, etc >
Evaluation of Marine Surface Wind Speed Observations From AMSR2 on GCOM-W Satellite
| Title: | Evaluation of Marine Surface Wind Speed Observations From AMSR2 on GCOM-W Satellite |
| Authors: | Ebuchi, Naoto Browse this author →KAKEN DB |
| Keywords: | Advanced microwave scanning radiometer 2 (AMSR2) | | global change observation mission-water satellite (GCOM-W) | | marine surface wind | | microwave radiometer | | validation |
| Issue Date: | 12-Apr-2017 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE journal of selected topics in applied earth observations & remote sensing |
| Volume: | 10 |
| Issue: | 9 |
| Start Page: | 3955 |
| End Page: | 3962 |
| Publisher DOI: | 10.1109/JSTARS.2017.2685432 |
| Abstract: | Observations of marine surface scalar wind speeds from the advanced microwave scanning radiometer 2 (AMSR2), onboard the global change observation mission-water satellite (GCOM-W), were evaluated by comparisons with offshore moored buoy measurements, output from the European Centre for Medium Range Weather Forecast Reanalysis Interim, and observations by the RapidScat (RSCAT) scatterometer onboard the International Space Station. In general, the AMSR2 wind speeds agreed well with the reference data. The root mean square difference between the AMSR2 and buoy measurements was 1.09 ms(-1), which is slightly larger than the mission goal of 1 ms(-1). Underestimation at low wind speeds (< 5ms(-1)) was found in the comparisons. The AMSR2 wind speeds were found to contain a slight scan bias; namely, wind speeds in the right swath are higher than those in the left swath by 0.2-0.3 ms(-1). Systematic dependence of the wind speed bias on the wind direction relative to the AMSR2 looking direction was found in a residual analysis. Results of the triple collocation analysis suggest that the random errors in the AMSR2 wind speed are less than 1 ms(-1) and are smaller than those in the outputs from the numerical weather prediction (NWP) models, if random errors in the reference wind data (buoy, NWP, and RSCAT) are considered explicitly. |
| Rights: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/68313 |
| Appears in Collections: | 低温科学研究所 (Institute of Low Temperature Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 江淵 直人
|
