Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates

Kaminski, Thomas; Pinty, Bernard; Voßbeck, Michael; Lopatka, Maciej; Gobron, Nadine; Robustelli, Monica

doi:https://doi.org/10.5194/bg-14-2527-2017

Articles | Volume 14, issue 9

https://doi.org/10.5194/bg-14-2527-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Data assimilation in carbon/biogeochemical cycles: consistent...

https://doi.org/10.5194/bg-14-2527-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14, issue 9

Research article

|

17 May 2017

Research article |

| 17 May 2017

Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates

Thomas Kaminski, Bernard Pinty, Michael Voßbeck, Maciej Lopatka, Nadine Gobron, and Monica Robustelli

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Final revised paper (published on 17 May 2017)
Preprint (discussion started on 09 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Good science, poor writing', Anonymous Referee #1, 24 Oct 2016
RC2: 'Referee Comments', Anonymous Referee #2, 24 Nov 2016
AC1: 'author response', Thomas Kaminski, 22 Dec 2016

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (31 Jan 2017) by Martin Heimann

AR by Thomas Kaminski on behalf of the Authors (02 Feb 2017) Author's response Manuscript

ED: Publish subject to technical corrections (11 Feb 2017) by Martin Heimann

AR by Thomas Kaminski on behalf of the Authors (28 Feb 2017) Manuscript

Short summary

We present the Joint Research Centre Two-stream Inversion Package (JRC-TIP) for retrieval of variables characterising the state of the vegetation–soil system. The system provides a set of land surface variables that satisfy all requirements for assimilation into the land component of climate and numerical weather prediction models.