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@article{Li:2018:10.1029/2018GL079677,
author = {Li, YI and Toumi, R},
doi = {10.1029/2018GL079677},
journal = {Geophysical Research Letters},
pages = {10019--10026},
title = {Improved tropical cyclone intensity forecasts by assimilating coastal surface currents in an idealized study},
url = {http://dx.doi.org/10.1029/2018GL079677},
volume = {45},
year = {2018}
}

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TY  - JOUR
AB  - Highfrequency (HF) radars can provide highresolution and frequent ocean surface currents observations during tropical cyclone (TC) landfall. We describe the first assimilation of such potential observations using idealized twin experiments with and without these observations. The data assimilation system consists of the Ensemble Adjustment Kalman Filter and a coupled oceanatmosphere model. In this system, synthetic HF radarobserved coastal currents are assimilated, and the 24, 48 and 72hr forecast performances are examined for TCs with various intensities, sizes, and translation speeds. Assimilating coastal surface currents improves the intensity forecast. The errors of the maximum wind speed reduce by 2.7 (33%) and 1.9 m/s (60%) in the 72hr forecast and 2.8 (40%) and 1.4 m/s (62%) in the 48hr forecast, for Category 4 and 2 cyclones, respectively. These improvements are similar to the current operational TC forecast errors, so that assimilating HF radar observations could be a substantial benefit.
AU  - Li,YI
AU  - Toumi,R
DO  - 10.1029/2018GL079677
EP  - 10026
PY  - 2018///
SN  - 0094-8276
SP  - 10019
TI  - Improved tropical cyclone intensity forecasts by assimilating coastal surface currents in an idealized study
T2  - Geophysical Research Letters
UR  - http://dx.doi.org/10.1029/2018GL079677
UR  - http://hdl.handle.net/10044/1/64684
VL  - 45
ER  -

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