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Items: 7

1.

Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: successes and challenges.

Barnhart BL, Golden HE, Kasprzyk JR, Pauer JJ, Jones CE, Sawicz KA, Hoghooghi N, Simon M, McKane RB, Mayer PM, Piscopo AN, Ficklin DL, Halama JJ, Pettus PB, Rashleigh B.

Environ Model Softw. 2018 Nov;109:368-379. doi: 10.1016/j.envsoft.2018.08.025.

2.

Drought legacies are dependent on water table depth, wood anatomy and drought timing across the eastern US.

Kannenberg SA, Maxwell JT, Pederson N, D'Orangeville L, Ficklin DL, Phillips RP.

Ecol Lett. 2019 Jan;22(1):119-127. doi: 10.1111/ele.13173. Epub 2018 Nov 8.

PMID:
30411456
3.

Natural and managed watersheds show similar responses to recent climate change.

Ficklin DL, Abatzoglou JT, Robeson SM, Null SE, Knouft JH.

Proc Natl Acad Sci U S A. 2018 Aug 21;115(34):8553-8557. doi: 10.1073/pnas.1801026115. Epub 2018 Aug 6.

4.

MOESHA: A Genetic Algorithm for Automatic Calibration and Estimation of Parameter Uncertainty and Sensitivity of Hydrologic Models.

Barnhart BL, Sawicz KA, Ficklin DL, Whittaker GW.

Trans ASABE. 2017;60(4):1259-1269. doi: 10.13031/trans.12179.

5.

Climate change impacts on streamflow and subbasin-scale hydrology in the Upper Colorado River Basin.

Ficklin DL, Stewart IT, Maurer EP.

PLoS One. 2013 Aug 19;8(8):e71297. doi: 10.1371/journal.pone.0071297. eCollection 2013.

6.

Assessment of climate change impacts on hydrology and water quality with a watershed modeling approach.

Luo Y, Ficklin DL, Liu X, Zhang M.

Sci Total Environ. 2013 Apr 15;450-451:72-82. doi: 10.1016/j.scitotenv.2013.02.004. Epub 2013 Mar 1.

PMID:
23467178
7.

Sensitivity of agricultural runoff loads to rising levels of CO2 and climate change in the San Joaquin Valley watershed of California.

Ficklin DL, Luo Y, Luedeling E, Gatzke SE, Zhang M.

Environ Pollut. 2010 Jan;158(1):223-34. doi: 10.1016/j.envpol.2009.07.016. Epub 2009 Aug 5.

PMID:
19660846

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