Title | ||
---|---|---|
Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3 |
Abstract | ||
---|---|---|
The ocean surface net radiation ( R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
) characterizing ocean surface radiation budget is a key variable in ocean climate modeling and analysis. In this study, a downscaling scheme was developed to generate a high-resolution (0.05°) time-series (2002-2013) daily ocean surface R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
from the third-generation Japanese Ocean Flux Data Sets with Use of Remote-Sensing Observations (J-OFURO3) at 0.25° based on the Advanced Very-High-Resolution Radiometer (AVHRR) top-of-atmosphere (TOA) observations (AVH021C) and other ancillary information (Clearness Index and cloud mask). This downscaling scheme includes the statistical downscaling models and the residual correction post-processing. A series of angle-dependent downscaling statistical models were established between the daily ocean surface R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
in J-OFURO3 and the AVHRR TOA data, and then, the residual correction was conducted to the model estimates R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
_AVHRR_est to obtain the final downscaled data set R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
_AVHRR. Validation against the measurements from 57 moored buoy sites in six ocean observing networks shows the high accuracy of the downscaled estimates R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
_AVHRR_est with a R
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>
of 0.88, RMSE of 23.44 W·m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-2</sup>
, and bias of -0.14 W·m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-2</sup>
under all-sky condition. The results of the spatio-temporal analysis in R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
_AVHRR and intercomparison with Cloud and the Earth's Radiant Energy System (CERES) and the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) products also indicated that the superior of the R
<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sub>
_AVHRR with more detailed information especially in the hot spot regions, such as central tropical Pacific (warming pool), Atlantic and Equatorial Eastern Indian Ocean (EIO). |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TGRS.2020.3021585 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Advanced Very-High-Resolution Radiometer (AVHRR),downscaling,net radiation,ocean surface,remote sensing | Journal | 59 |
Issue | ISSN | Citations |
4 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianglei Xu | 1 | 0 | 1.35 |
bo jiang | 2 | 2 | 2.47 |
Shunlin Liang | 3 | 611 | 116.22 |
Xiuxia Li | 4 | 0 | 1.01 |
Yezhe Wang | 5 | 0 | 0.34 |
Jianghai Peng | 6 | 0 | 1.35 |
Hongkai Chen | 7 | 0 | 0.34 |
Hui Liang | 8 | 0 | 1.35 |
Shaopeng Li | 9 | 0 | 1.35 |