Projecting water yield and ecosystem productivity across the United States  by linking an ecohydrological model to WRF dynamically downscaled climate  data

Sun, Shanlei; Sun, Ge; Cohen, Erika; McNulty, Steven G.; Caldwell, Peter V.; Duan, Kai; Zhang, Yang

doi:https://doi.org/10.5194/hess-20-935-2016

Articles | Volume 20, issue 2

https://doi.org/10.5194/hess-20-935-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Vegetation changes under a changing environment and the impacts...

https://doi.org/10.5194/hess-20-935-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 2

Research article

|

01 Mar 2016

Research article |

| 01 Mar 2016

Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data

Shanlei Sun, Ge Sun, Erika Cohen, Steven G. McNulty, Peter V. Caldwell, Kai Duan, and Yang Zhang

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Final revised paper (published on 01 Mar 2016)
Preprint (discussion started on 08 Dec 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C5979: 'comment on “Predicting future US water yield and ecosystem productivity by linking an ecohydrological model to WRF dynamically downscaled climate projections”', Anonymous Referee #1, 05 Jan 2016
- AC C6629: 'Response to Reviewer 1', Ge Sun, 04 Feb 2016
RC C5983: 'Review of HESS-2015-498', Anonymous Referee #2, 05 Jan 2016
- AC C6630: 'Response to Reviewer 2', Ge Sun, 04 Feb 2016
RC C6016: 'Comment on Sun et al. hess-2015-498', Anonymous Referee #3, 07 Jan 2016
- AC C6631: 'Response to Review #3', Ge Sun, 04 Feb 2016

Peer-review completion

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

ED: Publish as is (14 Feb 2016) by Adam Wei

AR by Ge Sun on behalf of the Authors (18 Feb 2016) Manuscript

Short summary

This study links an ecohydrological model with WRF (Weather Research and Forecasting Model) dynamically downscaled climate projections of the HadCM3 model under the IPCC SRES A2 emission scenario. Water yield and ecosystem productivity response to climate change were highly variable with an increasing trend across the 82 773 watersheds. Results are useful for policy-makers and land managers in formulating appropriate watershed-specific strategies for sustaining water and carbon sources.