Evaluating the stationarity assumption in statistically downscaled climate projections: is past performance an indicator of future results?

W. Dixon, Keith; R. Lanzante, John; Jo Nath, Mary; Hayhoe, Katharine; M. K. Stoner, Anne; Radhakrishnan, Aparna; Balaji, V.; F. Gaitán, Carlos

doi:10.1007/s10584-016-1598-0

Public

Evaluating the stationarity assumption in statistically downscaled climate projections: is past performance an indicator of future results?

Shared by NobleBlocks on Jan 22, 2016 • 12:00 AM UTC

Authors:

Keith W. Dixon

John R. Lanzante

Mary Jo Nath

Abstract

Empirical statistical downscaling (ESD) methods seek to refine global climate model (GCM) outputs via processes that glean information from a combination of observations and GCM simulations. They aim to create value-added climate projections by reducing biases and adding finer spatial detail. Analys...

Subject

Downscaling

Climatology

Climate change

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!