Research Output per year
Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 4 Similar Profiles
Watersheds
Engineering & Materials Science
watershed
Earth & Environmental Sciences
Runoff
Engineering & Materials Science
Rivers
Engineering & Materials Science
nitrate
Earth & Environmental Sciences
Time series
Engineering & Materials Science
Nutrients
Engineering & Materials Science
Nitrates
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1988 2018
A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs
Park, D. & Markus, M. Feb 17 2018 In : Hydrological Sciences Journal. 63, 3, p. 369-385 17 p.Research output: Contribution to journal › Article
Snow
Watersheds
Runoff
hydrograph
snowmelt
Communicating the impacts of projected climate change on heavy rainfall using a weighted ensemble approach
Markus, M., Angel, J., Byard, G., McConkey, S., Zhang, C., Cai, X., Notaro, M. & Ashfaq, M. Apr 1 2018 In : Journal of Hydrologic Engineering. 23, 4, 04018004Research output: Contribution to journal › Article
precipitation assessment
ensemble forecasting
Climate models
Flood control
Intergovernmental Panel on Climate Change
Intra-Annual Variability of Riverine Nutrient and Sediment Loadings Using Weighted Circular Statistics
Verma, S., Markus, M., Bartosova, A. & Cooke, R. A. Mar 1 2018 In : Journal of Environmental Engineering (United States). 144, 3, 04018010Research output: Contribution to journal › Article
River pollution
river pollution
Suspended sediments
Thermistors
Data visualization
Performance Evaluation of four Statistical Tests for Trend and Non-stationarity and Assessment of Observed and Projected Annual Maximum Precipitation Series in Major United States Cities
Um, M. J., Heo, J. H., Markus, M. & Wuebbles, D. J. Feb 1 2018 In : Water Resources Management. 32, 3, p. 913-933 21 p.Research output: Contribution to journal › Article
Statistical tests
Time series
time series
Climate change
trend
Modeling nonstationary extreme value distributions with nonlinear functions: An application using multiple precipitation projections for U.S. cities
Um, M. J., Kim, Y., Markus, M. & Wuebbles, D. J. Sep 1 2017 In : Journal of Hydrology. 552, p. 396-406 11 p.Research output: Contribution to journal › Article
modeling
distribution
city
time series
climate