M
Michael Smith
Researcher at Princeton University
Publications - 126
Citations - 4613
Michael Smith is an academic researcher from Princeton University. The author has contributed to research in topics: Action (philosophy) & Argument. The author has an hindex of 31, co-authored 126 publications receiving 4334 citations. Previous affiliations of Michael Smith include University of Texas at San Antonio & Silver Spring Networks.
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Dispositional Theories of Value
TL;DR: In this article, the moral problem of the inconsistency between belief and desire is discussed. But there is no such connection between belief, desire, and reason, and it is not clear how to explain the apparent plausibility of at least one of (1), (2), (3), (4), (5), (6), (7), (8), (9), (10), (11), (12), (13), (14), (15), (16) and (16), (17), (18), (19), (20) ).
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Overall distributed model intercomparison project results
Seann Reed,Victor Koren,Michael Smith,Ziya Zhang,Fekadu Moreda,Dong Jun Seo,and Dmip Participants +6 more
TL;DR: The results from the Distributed Model Intercomparison Project (DMIP) study as discussed by the authors show that some calibration strategies for distributed models are not as well defined as strategies for lumped models, but some calibration efforts applied to distributed models significantly improve simulation results.
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Toward improved streamflow forecasts: value of semidistributed modeling
TL;DR: In this paper, the authors assess the performance improvements of semidistributed applications of the U.S. National Weather Service Sacramento Soil Moisture Accounting model on a watershed using radar-based remotely sensed precipitation data.
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Hydrology laboratory research modeling system (HL-RMS) of the US national weather service
TL;DR: This study investigates an approach that combines physically-based and conceptual model features in two stages of distributed modeling: model structure development and estimation of spatially variable parameters, and facilitates an easier transition from current lumped model-based operational systems to more powerful distributed systems.