Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia

Lee, Kwonmin; Kim, Hye-Sil; Choi, Yong-Sang

doi:https://doi.org/10.5194/nhess-19-2241-2019

Articles | Volume 19, issue 10

https://doi.org/10.5194/nhess-19-2241-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-2241-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 10

Research article

|

11 Oct 2019

Research article |

| 11 Oct 2019

Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia

Kwonmin Lee, Hye-Sil Kim, and Yong-Sang Choi

Download

Final revised paper (published on 11 Oct 2019)
Preprint (discussion started on 14 Dec 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

SC1: 'Short comments of predicting thunderstorms', Xin Zhang, 29 Dec 2018
- AC1: 'Answers for your SC', Kwonmin Lee, 04 Mar 2019
- AC2: 'Answers to the comments of NHESS-2018-357-SC1-supplement', Kwonmin Lee, 16 Jun 2019
RC1: 'Review comment - NHESS-2018-357', Anonymous Referee #1, 10 Jan 2019
- AC3: 'Answers to the comments of NHESS-2018-357-RC1-supplement', Kwonmin Lee, 16 Jun 2019
RC2: 'comments related to manuscript nhess-2018-357', Dieter Poelman, 23 May 2019
- AC5: 'Answers to the comments of NHESS-2018-357-RC2-supplement', Kwonmin Lee, 17 Jun 2019
AC4: 'Answers to the comments of NHESS-2018-357-RC2-supplement', Kwonmin Lee, 17 Jun 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (21 Jun 2019) by Paolo Tarolli

AR by Kwonmin Lee on behalf of the Authors (02 Aug 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Aug 2019) by Paolo Tarolli

RR by Anonymous Referee #1 (21 Aug 2019)

RR by Anonymous Referee #2 (21 Aug 2019)

ED: Publish subject to technical corrections (31 Aug 2019) by Paolo Tarolli

AR by Kwonmin Lee on behalf of the Authors (03 Sep 2019) Author's response Manuscript

Short summary

This study examined the advances in the predictability of thunderstorms using geostationary satellite imageries. Our present results show that by using the latest geostationary satellite data (with a resolution of 2 km and 10 min), thunderstorms can be predicted 90–180 min ahead of their mature state. These data can capture the rapidly growing cloud tops before the cloud moisture falls as precipitation and enable prompt preparation and the mitigation of hazards.