S
Scott Sandgathe
Researcher at University of Washington
Publications - 25
Citations - 419
Scott Sandgathe is an academic researcher from University of Washington. The author has contributed to research in topics: Forecast verification & Numerical weather prediction. The author has an hindex of 10, co-authored 25 publications receiving 384 citations. Previous affiliations of Scott Sandgathe include Johns Hopkins University Applied Physics Laboratory.
Papers
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Journal ArticleDOI
Cluster Analysis for Verification of Precipitation Fields
Caren Marzban,Scott Sandgathe +1 more
TL;DR: The final “product” of the methodology is an “error surface” representing the error in the forecasts as a function of the number of clusters in the forecast and observation fields, which allows for the examination of forecast error as afunction of scale.
Journal ArticleDOI
The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability
Gerhard Theurich,Cecelia DeLuca,Timothy J Campbell,Fushan Liu,K. Saint,Mariana Vertenstein,J. Chen,R. Oehmke,James D. Doyle,T. Whitcomb,Alan J. Wallcraft,M. Iredell,Thomas L. Black,A. da Silva,Tom Clune,R. Ferraro,Peggy Li,Maxwell Kelley,Igor Aleinov,Venkatramani Balaji,N. Zadeh,Robert Jacob,Benjamin Kirtman,Francis X. Giraldo,David McCarren,Scott Sandgathe,Steven E. Peckham,R. Dunlap +27 more
TL;DR: The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users.
Journal ArticleDOI
MOS, Perfect Prog, and Reanalysis
TL;DR: In this paper, an alternative method (called RAN) is examined that combines model output statistics and perfect prog, while at the same time utilizing the information in reanalysis data.
Journal ArticleDOI
Cluster Analysis for Object-Oriented Verification of Fields: A Variation
Caren Marzban,Scott Sandgathe +1 more
TL;DR: A variation of that methodology employed to identify clusters in forecast and observed fields that effectively avoids (or simplifies) the criteria for matching the objects and is referred to as combinative cluster analysis.
Journal ArticleDOI
Three Spatial Verification Techniques: Cluster Analysis, Variogram, and Optical Flow
TL;DR: It is shown that a verification method based on cluster analysis can identify “objects” in a forecast and an observation field, thereby allowing for object-oriented verification in the sense that it considers displacement, missed forecasts, and false alarms.