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air2water

Robert Ladwig edited this page Sep 20, 2018 · 6 revisions
General Information
Acronym of the model air2water
Full name of the model air2water
Supported platforms Windows, Linux
Programming Language Written in Fortran but executable provided
Still maintained Yes, by: Sebastian Pic
Most recent version Version 2.0.0
Model structure
Executables are available
0D
Model description
Model objective A model to predict lake surface temperature using air temperature
Specific application – Simulating seasonal trends in water temperatures and stratification in deep lakes (Perroud et al., 2009; Raman Vinna et al., 2018)
- Seasonal stratification in shallow lakes (Stepanenko et al., 2013)
- Assessing climate change scenarios (Schwefel et al., 2016 ; Perroud & Goyette, 2010)
Background knowledge needed to run model Compile FORTRAN code. However, the code also exists in .exe and can be run through a user interface in (an old version of) MATLAB.
Basic procedures 1. Prepare a meteorological forcing file, modify default parameters (if needed), and choose the temporal et spatial resolution.
2. Put the starting and constant values in the correct input files (bathymetry, starting temperature profile, time step, etc.)
3. Edit or Upload input forcing files in correct format
4. Compile the FORTRAN code
5. Run the created .exe (or .out) file.
6. Find your results in the output file
Simstrat is a 1D hydrodynamic model, solving a k-epsilon turbulence scheme between predefined layers. It includes equations to account for internal seiches. For all formulas and included processes, see Goudsmit et al. (2002).
The model can be coupled to biogeochemical models using FABM, which has been done so far with AED and AQUASIM.
Link to website/manual Simstrat Github
Also Goudsmit et al. (2002) contains much information.
Model characteristics
Input variables Obligatory: – Meteorological forcing (Wind speed (u and v), air temperature, solar radiation, vapour pressure, cloud cover) to calculate heat fluxes OR the heat fluxes themselves
- 1D Bathymetry
- Initial conditions: water velocity, water temperature, salinity.
- Adsorption coefficient
Optional: – Stream inflow discharge, temperature and salinity and outflow discharge
Input file format ASCII
Output variables User-choice:
Water temperature at user-defined depths
Water velocity
Salinity
Turbulence
Seiching
Brunt-Väisälä frequency
Output file format ASCII
Biogeochemical model components None; Simstrat is a purely hydrodynamic model. But it can be coupled with biogeochemical modules using FABM.
Model structure/mathematical framework K-epsilon, which solves 2 transport equations (PDEs)
Temporal resolution Default setting is 10 minutes. Model become unstable for Lake Geneva below 1 minute.
Minimal spatial resolution (Vertical) 1m and 0.75m have been tested & acknowledged for Lake Geneva.
Variables needing calibration – 2 seiching parameters
- Surface drag coefficient
Has successfully been used in
Climate Change Scenario Perroud & Goyette (2010) Schwefel et al. (2016)
Shallow Lake/Reservoir Stepanenko et al. (2013)
Deep lake/Reservoir Perroud et al. (2009)
Countries in which the model has been applied Switzerland (e.g. Schwefel et al., 2016), Germany (Stepanenko et al., 2013), Rwanda/Congo (Thiery et al., 2014), Macedonia (Matzinger et al., 2007), USA (Wisconsin and Lake Michigan) (Stepanenko et al., 2010), Finland (Stepanenko et al., 2014), Israel (Schmid et al., 2017)
Which institutes have applied the model University of Geneva, Eawag, EPFL Lausanne
Has coding for Ice dynamics, Internal waves
Accessibility
Open-Source
Available tools for pre- and post-processing PEST for calibration
Support There is a manual on Github
Can be coupled to the following models Through FABM with AED or AQUASIM (Doan et al., 2015; Schmid et al., 2017).
How can someone get access to this model Simstrat Github
Miscellaneous
Comments The ice module is finished and available, but not yet in the Github version and the paper is in publication. Contact: Marjorie Perroud, University of Geneva.
Form was updated: 2018-06-09

Reference list:

Doan, P. T. K., Némery, J., Schmid, M., & Gratiot, N. (2015). Eutrophication of turbid tropical reservoirs: scenarios of evolution of the reservoir of Cointzio, Mexico. Ecological informatics, 29, 192-205.

Goudsmit, G. H., Burchard, H., Peeters, F., & Wüest, A. (2002). Application of k‐ϵ turbulence models to enclosed basins: The role of internal seiches. Journal of Geophysical Research: Oceans, 107(C12).

Matzinger, A., Schmid, M., Veljanoska-Sarafiloska, E., Patceva, S., Guseska, D., Wagner, B., … & Wüest, A. (2007). Eutrophication of ancient Lake Ohrid: Global warming amplifies detrimental effects of increased nutrient inputs. Limnology and Oceanography, 52(1), 338-353.

Perroud, M., Goyette, S., Martynov, A., Beniston, M., & Anneville, O. (2009). Simulation of multiannual thermal profiles in deep Lake Geneva: A comparison of one‐dimensional lake models. Limnology and Oceanography, 54(5), 1574-1594.

Perroud, M., & Goyette, S. (2010). Impacts of warmer climate on Lake Geneva water-temperature profiles. Boreal environment research, 15, 255-278.

Råman Vinnå, L., Wüest, A., Zappa, M., Fink, G., & Bouffard, D. (2018). Tributaries affect the thermal response of lakes to climate change. Hydrology and Earth System Sciences, 22(1), 31.

Schmid, M., Ostrovsky, I., & McGinnis, D. F. (2017). Role of gas ebullition in the methane budget of a deep subtropical lake: what can we learn from process‐based modeling?. Limnology and Oceanography, 62(6), 2674-2698.

Schwefel, R., Gaudard, A., Wüest, A., & Bouffard, D. (2016). Effects of climate change on deep‐water oxygen and winter mixing in a deep lake (Lake Geneva)–Comparing observational findings and modeling. Water Resources Research.

Stepanenko, V. M., Goyette, S., Martynov, A., Perroud, M., Fang, X., & Mironov, D. (2010). First steps of a Lake Model intercomparison project: LakeMIP. Boreal environment research, 15, 191-202.

Stepanenko, V. M., Martynov, A., Jöhnk, K. D., Subin, Z. M., Perroud, M., Fang, X., . . . Goyette, S. (2013). A one-dimensional model intercomparison study of thermal regime of a shallow, turbid midlatitude lake. Geoscientific Model Development, 6(4), 1337-1352. doi:10.5194/gmd-6-1337-2013

Stepanenko, V., Jöhnk, K. D., Machulskaya, E., Perroud, M., Subin, Z., Nordbo, A., … & Mironov, D. (2014). Simulation of surface energy fluxes and stratification of a small boreal lake by a set of one-dimensional models. Tellus A: Dynamic Meteorology and Oceanography, 66(1), 21389.

Thiery, W. I. M., Stepanenko, V. M., Fang, X., Jöhnk, K. D., Li, Z., Martynov, A., … & Van Lipzig, N. P. (2014). LakeMIP Kivu: evaluating the representation of a large, deep tropical lake by a set of one-dimensional lake models. Tellus A: Dynamic Meteorology and Oceanography, 66(1), 21390. |

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