Publications

Google Scholar Profile

2025

• K. Silwimba, A.N. Flores, I. Cionni, S.A. Billings, P.L. Sullivan, H. Ajami, D.R. Hirmas & L. Li
  “Soil parameterization in land surface models drives large discrepancies in soil moisture predictions across hydrologically complex regions of the contiguous United States”, Geoscientific Model Development, 18, 7707–7734
  Paper

• K. Silwimba, A.N. Flores, L. Hawkins et al.
  “Efficient Emulation, Uncertainty Quantification, and Sensitivity Analysis for a Land Surface Model using Evidential Deep Learning”, ESS Open Archive (preprint)
  Paper

• K. Silwimba
  “Enhancing Leaf Area Index Simulations With Evidential Deep Learning: A Probabilistic Approach to Uncertainty and Sensitivity”, SIAM News
  Paper

• K. Silwimba
  “Impact of Soil Hydraulic Parameter Variability on Soil Moisture: An Empirical Orthogonal Function Analysis”, SIAM News
  Paper

• S. Akor, A.N. Flores, I. Alabi, H.-P. Marshall, K. Silwimba
  “Spatiotemporal emulation of SWE in the Colorado Rocky Mountains based on ConvLSTM”, SSRN preprint (37 pp.)
  Paper

2024

• K. Silwimba, A.N. Flores, C. Becker, L.R. Hawkins, K. Dagon & I. Cionni
  “History Matching with Evidential Deep Neural Networks to Improve Terrestrial Water Storage Simulations in the Community Land Model”, AGU Fall Meeting Abstracts, GC11T-0152
  Paper

• K. Silwimba, A.N. Flores, C. Becker, L.R. Hawkins, K. Dagon & I. Cionni
  “History Matching with Evidential Deep Neural Networks to Improve Terrestrial Water Storage Simulations in the Community Land Model”, ESS Open Archive (preprint)
  Paper

• D. Bishop, A.N. Flores, S. Akor, K. Silwimba, I. Cionni
  “Examining Hydrometeorological Controls on Transpiration in a Semiarid, Snow-Dominated Watershed Using Machine-Learning Enabled Approaches”, AGU Fall Meeting Abstracts, H21R-0875
  Paper

• S. Akor, K. Silwimba, A.N. Flores
  “Deep Learning Approach to Predict Snow Water Equivalent from Atmospheric Forcings”, ESS Open Archive (preprint)
  Paper

2023

• E. Malichi, M. Ndengo, D. Mukonda, S. Kiilu, D. Azamuke, K. Silwimba
  “Fitting Rwanda’s Currency Market Returns with the Poisson Compound Model with Normal Inverse Gaussian Jumps”, Journal of Financial Risk Management, 12(4), 388–404
  Paper

• K. Silwimba
  “Integrating Empirical Orthogonal Functions (EOFs) into Machine Learning Model”, Research Computing Days 2023, Boise State University (Student Presentation)
  Paper