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Kachinga Silwimba
Observed name:
Silwimba, Kachinga
Institution:
Boise State University
Observed institution:
Boise State University
ORCID:
0009-0005-9013-1032
Observed ORCID:
0009-0005-9013-1032
OpenAlex ID:
A5115528322
Soil parameterization in land surface models drives large discrepancies in soil moisture predictions across hydrologically complex regions of the contiguous United States
2025
·
Kachinga Silwimba
, Alejandro N. Flores
, et al.
·
Geoscientific model development
·
14
Fitting Rwanda’s Currency Market Returns with the Poisson Compound Model with Normal Inverse Gaussian Jumps
2023
·
Emmanuel Malichi
, Marcel Ndengo
, et al.
·
Journal of Financial Risk Management
·
1
PDF
Efficient Emulation, Uncertainty Quantification, and Sensitivity Analysis for a Land Surface Model Using Evidential Deep Learning
2026
·
Kachinga Silwimba
, Alejandro N. Flores
, et al.
·
Journal of Advances in Modeling Earth Systems
PDF
Integrating Meteorological Forcings and Satellite-Derived Observations to Emulate Snow Water Equivalent in the Colorado Rocky Mountains Using a Spatiotemporal Deep Learning Model
2026
·
Stanley Akor
, Alejandro Flores
, et al.
·
Journal of Hydrometeorology
Uncertainty-Aware Diagnosis of Precipitation Type in AI Weather Models Using an Evidential Deep Neural Network
2026
·
Stanley Akor
, Alejandro N. Flores
, et al.
Evidential Deep Learning Emulation of Monthly Streamflow Anomalies From Land Surface Model Perturbed-Parameter Ensembles in Snow-Dominated Basins
2026
·
Kachinga Silwimba
, Alejandro N. Flores
, et al.
Hydro EDNN Workflows for CLM5 Basin Emulation and Uncertainty Quantification
2026
·
Kachinga Silwimba
·
Zenodo (CERN European Organization for Nuclear Research)
Scalable, Uncertainty-Aware Streamflow Prediction in Snow-Dominated Catchments Using Evidential Deep Learning and CLM5 Ensembles
2025
·
Kachinga Silwimba
, Alejandro N. Flores
, et al.
PDF
Reply on RC2
2025
·
Kachinga Silwimba
Reply on RC1
2025
·
Kachinga Silwimba
Reply on AC5
2025
·
Kachinga Silwimba
Reply on RC2
2025
·
Kachinga Silwimba
Reply on AC4
2025
·
Kachinga Silwimba
Reply on CEC1
2025
·
Kachinga Silwimba
Reply on CEC2
2025
·
Kachinga Silwimba
Reply on CEC1
2025
·
Kachinga Silwimba
History Matching with Evidential Deep Neural Networks to Improve Terrestrial Water Storage Simulations in the Community Land Model
2024
·
Kachinga Silwimba
, Alejandro N. Flores
, et al.
PDF
Deep Learning Approach to predict Snow Water Equivalent from Atmospheric Forcings
2024
·
Stanley Akor
, Kachinga Silwimba
, et al.
PDF
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Works count:
23
Citation count:
19
H-index:
1
I10-index:
1
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