Our team has a diverse background. We’ve compiled relevant publications from their expertise that contributes to the scope of CLEAN EARTH. We invite you to read their publications.
Wang, G., & Sun, X. (2022). Monotonic increase of extreme precipitation intensity with temperature when controlled for saturation deficit. Geophysical Research Letters. Click here for Article.
Wang, G., Kirchhoff, C., Seth, A., Abatzoglou, J., Livneh, B., Pierce, D., Fomenko, L., Tengyu, D. (2020). Projected Changes of Precipitation Changes of Precipitation Characteristics Depend on Downscaling Method and Training Data: MACA versus LOCA Using the U.S. Northeast as an Example. American Meteorological Society. Click here for Article.
T. Zaman, U. Khaira, M. Astitha, 2021: Updates on Accuracy Analysis in Wind Prediction Using High-Resolution WRF Simulations for an Offshore Wind Farm Facility in the Northeast Atlantic Cluster. AGU 2021 Fall Meeting, Dec 12-16, 2021.
Yang, J., Astitha, M.*, & Schwartz, C. S., 2019. Assessment of storm wind speed prediction using gridded Bayesian regression applied to historical events with NCAR’s real‐time ensemble forecast system. Journal of Geophysical Research: Atmospheres, 124, 9241–9261. https://doi.org/10.1029/2018JD029590.
Samalot, A., M. Astitha*, J. Yang, and G. Galanis, 2019: Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States. Wea. Forecasting, 34, 587–601, https://doi.org/10.1175/WAF-D-18-0068.1.
Yang, J.,M. Astitha*, L. Delle Monache, and S. Alessandrini, 2018: An Analog Technique to Improve Storm Wind Speed Prediction Using a Dual NWP Model Approach. Mon. Wea. Rev., 146, 4057–4077, https://doi.org/10.1175/MWR-D-17-0198.1.
J. Yang, M. Astitha*, E. Anagnostou, B. Hartman, 2017: Using a Bayesian regression approach on dual-model weather simulations to improve wind speed prediction. Journal of Applied Meteorology and Climatology, Vol 56, 1155-1174, https://doi.org/10.1175/JAMC-D-16-0206.1.
Marina Astitha and Efthymios Nikolopoulos (co-Editors): “Extreme Weather Forecasting: State of the science, uncertainty and impacts”. Elsevier (edited contribution), October 2022. Paperback ISBN: 9780128201244.