N
Naoki Mizukami
Researcher at National Center for Atmospheric Research
Publications - 54
Citations - 2189
Naoki Mizukami is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Hydrological modelling & Environmental science. The author has an hindex of 22, co-authored 41 publications receiving 1441 citations. Previous affiliations of Naoki Mizukami include University of Utah & Silver Spring Networks.
Papers
More filters
Journal ArticleDOI
The CAMELS data set: Catchment attributes and meteorology for large-sample studies
TL;DR: The CAMELS data set as mentioned in this paper is a large-scale data set of attributes for 671 catchments in the contiguous United States (CONUS) minimally impacted by human activities.
Journal ArticleDOI
Towards seamless large-domain parameter estimation for hydrologic models
Naoki Mizukami,Martyn P. Clark,Andrew J. Newman,Andrew W. Wood,Ethan Gutmann,Bart Nijssen,Oldrich Rakovec,Luis Samaniego +7 more
TL;DR: This paper provides an initial assessment of a multi-scale parameter regionalization (MPR) method over large geographical domains to derive seamless parameters in a spatially consistent manner and shows that the CONUS-wide calibration has similar performance compared to previous simulations using a patchwork quilt of partially calibrated parameter sets.
Journal ArticleDOI
Gridded Ensemble Precipitation and Temperature Estimates for the Contiguous United States
Andrew J. Newman,Martyn P. Clark,Jason Craig,Bart Nijssen,Andrew W. Wood,Ethan Gutmann,Naoki Mizukami,Levi D. Brekke,Jeffrey R. Arnold +8 more
TL;DR: This article developed a gridded, observation-based ensemble of precipitation and temperature at a daily increment for the period 1980-2012 for the conterminous United States, northern Mexico, and southern Canada.
Journal ArticleDOI
Results of the DMIP 2 Oklahoma experiments
Michael B. Smith,Victor Koren,Ziya Zhang,Yu Zhang,Seann Reed,Zhengtao Cui,Fekadu Moreda,Brian Cosgrove,Naoki Mizukami,Eric A. Anderson +9 more
TL;DR: The DMIP 2 Experiment 2 of the Distributed Model Intercomparison Project (DMIP 2) as mentioned in this paper was formulated primarily as a mechanism to help guide the US National Weather Service (NWS) as it expands its use of spatially distributed watershed models for operational river, flash flood, and water resources forecasting.
Journal ArticleDOI
Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts
Pablo A. Mendoza,Martyn P. Clark,Naoki Mizukami,Andrew J. Newman,Michael Barlage,Ethan Gutmann,Roy Rasmussen,Balaji Rajagopalan,Levi D. Brekke,Jeffrey R. Arnold +9 more
TL;DR: In this article, the role of parameter estimation, model performance and projected hydrologic changes (i.e., changes in the hydrology obtained from hydrological models due to climate change) are compared before and after calibration with the University of Colorado.