Spatial Analysis of Precipitation and Snow Water Equivalent Extremes for the Columbia River Basin

Abstract

Recent advances in the spatial statistics of extremes and model calibration were applied to develop and deliver areal-exceedance estimates for precipitation (PREC), by season and duration, and snow water equivalent (SWE), by cool season month and for the water year, for 758 delineated sub-basins of the Columbia River Basin (CRB), which correspond to a new CRB hydrology model watershed delineation. Understanding that future US Army Corps of Engineers, Northwestern Division, mission requirements may change, project execution also included the development and delivery of an application guidance document to credibly compute areal-exceedance estimates, including uncertainty, for PREC or SWE for any arbitrary area within the CRB. R, a free software environment for statistical computing and graphics (https://www.r-project.org/), and QGIS, a free and open source geographic information system (https://qgis.org/en/site/index.html), were the primary tools used for product development and delivery. The following R software packages were primarily used during project execution: evd, Glmnet, maps, raster, rgdal, SDMTools, sp, and SpatialExtremes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1102959

Entities

People

  • Angela M. Duren
  • Brian E. Skahill
  • Chris Bahner
  • Luciana Cunha

Organizations

  • United States Army
  • United States Army Corps of Engineers

Tags

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Calibration
  • Columbia River
  • Data Science
  • Data Set
  • Data Sets
  • Databases
  • Drainage Basins
  • Engineers
  • Environment
  • Geographic Information Systems
  • Grids
  • Information Processing
  • Information Science
  • Information Systems
  • Meteorology
  • North America
  • Probability
  • Quality Control
  • Standards
  • Statistics
  • Surveys
  • United States

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Geochemistry
  • Statistical inference.