Article

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Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Krishnamurthy, V., Mote, S., Shukla, J., Surjalal Sharma, A., Kalnay, E. and Ghil, M. (2024) Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes. Proceedings of the National Academy of Sciences of the United States of America, 121 (15). e2312573121. ISSN 1091-6490 doi: https://doi.org/10.1073/pnas.2312573121

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Xu, Z., Li, Y., Qin, Y. and Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 (2024) A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing. Solar Energy, 268. 112198. ISSN 1471-1257 doi: https://doi.org/10.1016/j.solener.2023.112198

Chattopadhyay, A., Nabizadeh, E., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 and Hassanzadeh, P. (2023) Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems. Journal of Computational Physics, 477. 111918. ISSN 1090-2716 doi: https://doi.org/10.1016/j.jcp.2023.111918

Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 and Ghil, M. (2023) A multi‐model ensemble Kalman filter for data assimilation and forecasting. Journal of Advances in Modeling Earth Systems, 15 (1). e2022MS003123. ISSN 1942-2466 doi: https://doi.org/10.1029/2022MS003123

Dunbar, O. R. A., Lopez-Gomez, I., Garbuno-Iñigo, A., Zhengyu Huang, D., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 and Wu, J.-l. (2022) EnsembleKalmanProcesses.jl: derivative-free ensemble-based model calibration. Journal of Open Source Software, 7 (80). 4869. ISSN 2475-9066 doi: https://doi.org/10.21105/joss.04869

Chattopadhyay, A., Mustafa, M., Hassanzadeh, P., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 and Kashinath, K. (2022) Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5. Geoscientific Model Development, 15 (5). pp. 2221-2237. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-15-2221-2022

Qin, Y., Li, Y., Xu, R., Hou, C., Armstrong, A., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Wang, Y. and Fu, B. (2022) Impacts of 319 wind farms on surface temperature and vegetation in the United States. Environmental Research Letters, 17 (2). 024026. ISSN 1748-9326 doi: https://doi.org/10.1088/1748-9326/ac49ba

Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Mote, S., Krishnamurthy, V., Surjalal Sharma, A., Ghil, M. and Kalnay, E. (2021) Ensemble Oscillation Correction (EnOC): leveraging oscillatory modes to improve forecasts of chaotic systems. Journal of Climate, 34 (14). pp. 5673-5686. ISSN 1520-0442 doi: https://doi.org/10.1175/jcli-d-20-0624.1

Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 (2021) parasweep: a template-based utility for generating, dispatching, and post-processing of parameter sweeps. SoftwareX, 13. 100631. ISSN 2352-7110 doi: https://doi.org/10.1016/j.softx.2020.100631

Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Motesharrei, S., Kalnay, E. and Ruiz-Barradas, A. (2019) Local atmosphere–ocean predictability: dynamical origins, lead times, and seasonality. Journal of Climate, 32 (21). pp. 7507-7519. ISSN 1520-0442 doi: https://doi.org/10.1175/JCLI-D-18-0817.1

Penny, S. G., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Bhargava, K., Chang, C. ‐C., Da, C., Sun, L. and Yoshida, T. (2019) Strongly coupled data assimilation in multiscale media: experiments using a quasi‐geostrophic coupled model. Journal of Advances in Modeling Earth Systems, 11 (6). pp. 1803-1829. ISSN 1942-2466 doi: https://doi.org/10.1029/2019MS001652

Li, Y., Kalnay, E., Motesharrei, S., Rivas, J., Kucharski, F., Kirk-Davidoff, D., Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203 and Zeng, N. (2018) Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation. Science, 361 (6406). pp. 1019-1022. ISSN 1095-9203 doi: https://doi.org/10.1126/science.aar5629

Bach, E. ORCID: https://orcid.org/0000-0002-9725-0203, Radić, V. and Schoof, C. (2018) How sensitive are mountain glaciers to climate change? Insights from a block model. Journal of Glaciology, 6 (244). pp. 247-258. ISSN 1727-5652 doi: https://doi.org/10.1017/jog.2018.15