Scholarly and Creative Works
2024
- Mortimer, C., Mudryk, L., Cho, E., Derksen, C., Brady, M., & Vuyovich, C. (2024). Use of multiple reference data sources to cross validate gridded snow water equivalent products over North America. EGUsphere, 631–648. https://doi.org/https://doi.org/10.5194/egusphere-2023-3013
- Pflug, J. M., Wrzesien, M. L., Kumar, S. V., Cho, E., Arsenault, K. R., Houser, P. R., & Vuyovich, C. M. (2024). Extending the utility of space-borne snow water equivalent observations over vegetated areas with data assimilation. Hydrology and Earth System Sciences, 28(3), 631–648. https://doi.org/https://doi.org/10.5194/egusphere-2023-1603
- Johnston, J., Jacobs, J. M., & Cho, E. (2024). Global Snow Seasonality Regimes from Satellite Records of Snow Cover. Journal of Hydrometeorology, 25(1), 65–88. https://doi.org/https://doi.org/10.1175/JHM-D-23-0047.1
2023
- Cho, E., Kwon, Y., Kumar, S. V., & Vuyovich, C. M. (2023). Assimilation of airborne gamma observations provides utility for snow estimation in forested environments. Hydrology and Earth System Sciences, 27(21), 4039–4056. https://doi.org/10.5194/hess-27-4039-2023
- Cho, E., Vuyovich, C. M., Kumar, S. V., Wrzesien, M. L., & Kim, R. S. (2023). Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments. The Cryosphere, 17(9), 3915--3931. https://doi.org/10.5194/tc-17-3915-2023
- Proulx, H., Jacobs, J. M., Burakowski, E. A., Hunsaker, A. G., Sullivan, F. B., Palace, M., & Wagner, C. (2023). Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape. Cryosphere. https://doi.org/https://doi.org/10.5194/tc-2023-36
- Verfaillie, M., Cho, E., Dwyre, L., Khan, I., Wagner, C., Jacobs, J. M., & Hunsaker, A. (2023). UAS Remote Sensing Applications to Cold Region Weather Disasters. Frontiers in Remote Sensing. https://doi.org/https://doi.org/10.3389/frsen.2023.1095275
- Moradi, M., Cho, E., Jacobs, J. M., & Vuyovich, C. (2023). Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling. Cold Regions Science and Technology. https://doi.org/https://doi.org/10.1016/j.coldregions.2023.103806
2022
- Cho, E., Vuyovich, C. M., Kumar, S. V., Wrzesien, M. L., Kim, R. S., & Jacobs, J. M. (2022). Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent. Hydrology and Earth System Sciences, 26(22), 5721–5735. https://doi.org/10.5194/hess-26-5721-2022
2021
- Cho, E., McCrary, R. R., & Jacobs, J. M. (2021). Future Changes in Snowpack, Snowmelt, and Runoff Potential Extremes Over North America. Geophysical Research Letters, 48(22). https://doi.org/10.1029/2021gl094985
2020
- Forgotson, C., O’Neill, P. E., Carrera, M. L., Belair, S., Das, N. N., Mladenova, I. E., … Escobar, V. M. (2020). How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case Studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1590–1596. https://doi.org/10.1109/jstars.2020.2982608
2017
- Kim, H., Zohaib, M., Cho, E., Kerr, Y. H., & Choi, M. (2017). Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas. Advances in Meteorology, 2017, 1–13. https://doi.org/10.1155/2017/1917372