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Publications

Peer-reviewed journals

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Mishra, A. K., Jangir, B., & Strobach, E. (2023). Does increasing climate model horizontal resolution be beneficial for the Mediterranean region?: Multimodel evaluation framework for High-Resolution Model Intercomparison Project. Journal of Geophysical Research: Atmospheres, 128, e2022JD037812. doi.org/10.1029/2022JD037812

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Torres, H. S., Klein, P., Wang, J., Wineteer, A., Qiu, B., Thompson, A. F., Rodriguez, E., Menemenlis, D., Molod, A., Hill, C. N., Strobach, E., Zhang, H., Flexas, M., and Perkovic-Martin, D. (2022). Wind work at the air-sea interface: A Modeling Study in Anticipation of Future Space Missions. Geoscientific Model Development, 15(21), 8041-8058. doi.org/10.5194/gmd-15-8041-2022

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Strobach, E., Klein, P., Molod, A., Fahad, A. A., Trayanov, A., Menemenlis, D., & Torres, H. (2022). Local air-sea interactions at ocean mesoscale and submesoscale in a Western Boundary Current. Geophysical Research Letters, 49, e2021GL097003. doi.org/10.1029/2021GL097003

 

Strobach, E., Molod, A., Barahona, D., Trayanov, A., Menemenlis, D., & Forget, G. (2022). Earth system model parameter adjustment using a Green's functions approach. Geoscientific Model Development, 15(5), 2309-2324. doi.org/10.5194/gmd-15-2309-2022

 

Light, C. X., Arbic, B. K., Martin, P.E., Brodeau, L., Farrar, J. T., Griffies, S. M., Kirtman, B. P., Laurindo, L. C., Menemenlis, D., Molod, A. and Nelson, A. D., Nyadjro, E., O’Rourke A. K., Shriver, J. F., Siqueira, L., Small, R. J., & Strobach, E. (2022). Effects of grid spacing on high-frequency precipitation variance in coupled high-resolution global ocean–atmosphere models. Climate Dynamics, 1-27. doi.org/10.1007/s00382-022-06257-6

 

Florio, j., Verú, L., Dao, A., Yaro, A. S., Diallo, M., Sanogo, Z. L., Samaké, D., Huestis, D. L., Yossi, O., Talamas, E., Chomorro, L., Frank, J. H., Biondi, M., Morkel, C., Bartlett, C., Linton, Y-M., Strobach, E., Chapman, J. W., Reynolds, D. R., Faiman, R., Krajacich, B. J., Smith, C. S., & Lehmann, T. (2020). Diversity, dynamics, direction, and magnitude of high-altitude migrating insects in the Sahel. Scientific Reports, 10(1), 1-14. doi.org/10.1038/s41598-020-77196-7

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Strobach, E., Molod, A., Trayanov, A., Forget, G., Campin, JM., Hill, C., and Menemenlis, D. (2020). Three-to-six-day air-sea oscillation in models and observations. Geophysical Research Letters, 47(10), e2019GL085837. doi.org/10.1029/2019GL085837

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Strobach, E., and Bel, G. (2020). Learning algorithms allow for improved reliability and accuracy of global mean surface temperature projections. Nature Communications, 11(1), 1-7. doi.org/10.1038/s41467-020-14342-9

 

Huestis, D. L., Dao, A., Diallo, M., Sanogo, Z. L., Samake, D., Yaro, A. S., Ousman, Y., Linton, Y-Mf., Krishna, A., Veru, L., Krajacich, B. J., Faiman, R., Florio, J., Chapman, J. W., Reynolds, D. R., Weetman, D., Mitchell, R., Donnelly, M. J., Talamas, E., Chamorro, L., Strobach, E., & Lehmann T. (2019). Windborne long-distance migration of malaria mosquitoes in the Sahel. Nature, 574(7778), 404-408. doi.org/10.1038/s41586-019-1622-4

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Strobach, E., & Bel G. (2019). Regional decadal climate predictions using an ensemble of WRF parameterizations. Journal of Applied Meteorology and Climatology, 58(3), 527-549, doi.org/10.1175/JAMC-D-18-0051.1

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Strobach, E., Molod, A., Forget, G., Campin, J.M., Hill, C., Menemenlis, D., & Heimbach, P. (2018). Consequences of different air-sea feedbacks on ocean using MITgcm and MERRA-2 forcing: Implications for Coupled Data Assimilation Systems. Ocean Modelling, 132, 91-111. doi.org/10.1016/j.ocemod.2018.10.006

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Strobach, E., & Bel, G. (2017) Quantifying the uncertainties in an ensemble of decadal climate predictions. Journal of Geophysical Research: Atmospheres, 122(24), 13-191. doi:10.1002/2017JD027249

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Strobach, E. & Bel, G. (2017) The contribution of internal and model variabilities to the uncertainty in CMIP5 decadal climate predictions. Climate Dynamics, 49(9), 3221-3235, doi:10.1007/s00382-016-3507-7

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Strobach, E., & Bel, G. (2016) Decadal climate predictions using sequential learning algorithms. Journal of Climate, 29(10), 3787–3809, doi:10.1175/JCLI-D-15-0648.1

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Strobach, E., & Bel, G. (2015) Improvement of climate predictions and reduction of their uncertainties using learning algorithms. Atmospheric Chemistry and Physics, 15(15), 8631–8641,doi:10.5194/acp-15-8631-2015

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Strobach, E., Faiman, D., Kabalo, S., Bokobza, D., Melnichak, V., Gombert, A., Gerstmaier,T., & Röttger, M. (2015). Modeling a grid-connected concentrator photovoltaic system. Progress in Photovoltaics: Research and Applications, 23(5) 582–592. doi: 10.1002/pip.2467

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Strobach, E., Faiman, D., Bader S.J., & Hile S.J. (2013). Effective incidence angles of sky-diffuse and ground-reflected irradiance for various incidence angle modifier types. Solar Energy, 89, 81–88. doi:10.1016/j.solener.2012.10.021

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Conference proceedings

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Strobach E., & Bel. G.: “Improvement of Climate Predictions in Israel using a Learning Algorithm” in Meteorology in Israel, 1/2015.

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Strobach E., Faiman, D., Kabalo, S., Bokovza, D., Melnichak, V., Gombert, A., Gerstmaier, T., & Röttger, M.: “In Situ Characterization of Grid-Connected CPV Systems” in the 28th European PV Solar Energy Conference Proceedings Sep 30-Oct 4, 2013, Paris, France. (link)

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Strobach E. & Faiman, D.: “Concerning the Accuracy of Employing Monthly-Averaged Hourly Utility Data for PV/CPV-Grid Matching Purposes” in the 28th European PV Solar Energy Conference Proceedings, Sep 30-Oct 4, 2013, Paris, France. (link)

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Strobach E, Faiman, D., Melnichak, V., Bukobza, D., Kabalo, S., Gombert, A., Gerstmaier, T., & Roettger, M.: “Modeling a grid-connected, passively-cooled CPV system” in CPV-8, April 16-18, 2012, Toledo, Spain. AIP Conf. Proc. 1477, 352-355 (2012); doi: http://dx.doi.org/10.1063/1.4753903.

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Strobach E., Bader, S., Faiman, D., Solomon, A. A., & Meron, G.: “CPV Vs. PV from a grid-matching perspective” in CPV-8, April 16-18, 2012, Toledo, Spain. AIP Conf. Proc. 1477, 368-371 (2012), doi: http://dx.doi.org/10.1063/1.4753907.

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Gombert A., Gerstmaier, T., Röttger, M., Schulz-Gericke, J., Van Riesen, S., Faiman, D., Strobach E., Melnichak, V., & Kabalo, S.: “Performance of Concentrix CPV Systems in Different Climates” in the 26th European PV Solar Energy Conference Proceedings, Sep 5-6, 2011, Hamburg, Germany. (link)

 

Others

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Decadal Climate Predictions Using Sequential Learning Algorithms, PhD thesis (pdf)

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Grid Matching Considerations for a CPV System, MSc thesis (pdf)

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