Testing gridded land precipitation data and precipitation and runoff reanalyses (1982–2010)  between 45° S and 45° N with normalised difference vegetation  index data

Los, S. O.

doi:https://doi.org/10.5194/hess-19-1713-2015

Articles | Volume 19, issue 4

https://doi.org/10.5194/hess-19-1713-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-1713-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 4

Research article

|

14 Apr 2015

Research article |

| 14 Apr 2015

Testing gridded land precipitation data and precipitation and runoff reanalyses (1982–2010) between 45° S and 45° N with normalised difference vegetation index data

S. O. Los

Download

Final revised paper (published on 14 Apr 2015)
Preprint (discussion started on 02 Dec 2014)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC C5725: 'Referee Comment', Emma Bergin, 17 Dec 2014
RC C6044: 'Referee Comments', Anonymous Referee #2, 12 Jan 2015
AC C6524: 'Author's response to reviewers', Sietse Los, 18 Feb 2015

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (03 Mar 2015) by Wouter Buytaert

AR by Sietse Los on behalf of the Authors (05 Mar 2015) Author's response

ED: Publish as is (23 Mar 2015) by Wouter Buytaert

AR by Sietse Los on behalf of the Authors (26 Mar 2015)

Short summary

The study evaluates annual precipitation (largely rainfall) amounts for the tropics and subtropics; precipitation was obtained from ground observations, satellite observations and numerical weather forecasting models. - Annual precipitation amounts from ground and satellite observations were the most realistic. - Newer weather forecasting models better predicted annual precipitation than older models. - Weather forecasting models predicted inaccurate precipitation amounts for Africa.