The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems

Arsenault, Kristi R.; Kumar, Sujay V.; Geiger, James V.; Wang, Shugong; Kemp, Eric; Mocko, David M.; Beaudoing, Hiroko Kato; Getirana, Augusto; Navari, Mahdi; Li, Bailing; Jacob, Jossy; Wegiel, Jerry; Peters-Lidard, Christa D.

doi:https://doi.org/10.5194/gmd-11-3605-2018

Articles | Volume 11, issue 9

https://doi.org/10.5194/gmd-11-3605-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-3605-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 9

Model description paper

|

05 Sep 2018

Model description paper |

| 05 Sep 2018

The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems

Kristi R. Arsenault, Sujay V. Kumar, James V. Geiger, Shugong Wang, Eric Kemp, David M. Mocko, Hiroko Kato Beaudoing, Augusto Getirana, Mahdi Navari, Bailing Li, Jossy Jacob, Jerry Wegiel, and Christa D. Peters-Lidard

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Final revised paper (published on 05 Sep 2018)
Preprint (discussion started on 23 Apr 2018)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Code Availability', Lutz Gross, 04 May 2018
- AC1: 'Response to Short Comment', Kristi R. Arsenault, 16 Jun 2018
RC1: 'Useful description of a pre-processing system', Anonymous Referee #1, 23 May 2018
- AC2: 'Response to Reviewer Comment', Kristi R. Arsenault, 16 Jun 2018
RC2: 'Comment on land surface data toolkit v7.2', Anonymous Referee #2, 29 Jun 2018
- AC3: 'Response to Reviewer Comment', Kristi R. Arsenault, 07 Jul 2018

Peer-review completion

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

AR by Kristi R. Arsenault on behalf of the Authors (27 Jul 2018) Author's response Manuscript

ED: Publish as is (01 Aug 2018) by Jeffrey Neal

AR by Kristi R. Arsenault on behalf of the Authors (07 Aug 2018)

Short summary

The Earth’s land surface hydrology and physics can be represented in highly sophisticated models known as land surface models. The Land surface Data Toolkit (LDT) software was developed to meet these models’ input processing needs. LDT supports a variety of land surface and hydrology models and prepares the inputs (e.g., meteorological data, satellite observations to be assimilated into a model), which can be used for inter-model studies and to initialize weather and climate forecasts.