Software Open Access

NOAH LSM Mussel v2.0

K.A.S. Mislan; David S. Wethey

NOAH LSM Mussel v2.0 is a mathematical model that predicts mussel bed temperatures from atmospheric and oceanic data by mimicking the thermal properties of a mussel bed exposed to tidal inundation and wave run-up. The model is derived from the National Weather Service NOAH Land Surface Model. In v2.0, it is possible to change the within mussel bed contact which determines conductive heat transfer. Mussel survival is predicted using mussel bed temperatures from the model.

Please cite the following papers if you use this code:

NOAH LSM Mussel v2.0

Mislan, KAS and DS Wethey. 2015. A biophysical basis for patchy mortality during heat waves. Ecology. 96:902-907  http://dx.doi.org/10.1890/14-1219.1

NOAH_LSM_Mussel_v1.0

Wethey DS, LD Brin, B Helmuth, and KAS Mislan. 2011. Predicting intertidal organism temperatures with modified land surface models. Ecological Modelling 222:3568-3576. http://dx.doi.org/10.1016/j.ecolmodel.2011.08.019

NOAH_LSM

Chen F, and J Dudhia. 2001. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Monthly Weather Review, 129:569-585.

Ek MB, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, and JD Tarpley. 2003. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research: Atmospheres (1984–2012), 108(D22). http://dx.doi.org/10.1029/2002JD003296

Acknowledgements: Daniel Halperin, eScience Institute, University of Washington, vetted this code release. We also appreciate comments on the code documentation from B. Marwick and R. LeVeque. Code Release: KAS was supported by Washington Research Foundation Fund for Innovation in Data-Intensive Discovery and the Moore/Sloan Data Science Environments Project at the University of Washington. Scientific Research and Code Development: KAS was supported by the NOAA Cooperative Institute for Climate Science (NA08OAR4320752) and the Carbon Mitigation Initiative which is sponsored by BP at Princeton University. This study was also supported by grants from NSF (OCE1039513 and OCE1129401), NOAA (NA04NOS4780264), and NASA (NNX07AF20G and NNX11AP77G) to DSW at the University of South Carolina.
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  • Chen F, and J Dudhia. 2001. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Monthly Weather Review, 129:569-585.
  • Ek MB, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, and JD Tarpley. 2003. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research: Atmospheres (1984–2012), 108(D22). http://dx.doi.org/10.1029/2002JD003296
  • Mislan, KAS and DS Wethey. in press. A biophysical basis for patchy mortality during heat waves. Ecology.
  • Wethey DS, LD Brin, B Helmuth, and KAS Mislan. 2011. Predicting intertidal organism temperatures with modified land surface models. Ecological Modelling 222:3568-3576. http://dx.doi.org/10.1016/j.ecolmodel.2011.08.019

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