%0 Book Section
%@nexthigherunit 8JMKD3MGPCW/43SQKNE
%3 coelho_forecast.pdf
%X Forecast verification is a key component of a forecasting system; it provides information about forecast qualify to model and forecast developers and various users. This chapter provides an overview of methods relevant to sub-seasonal to seasonal (S2S) forecast verification, starting with the definition of forecast goodness and some fundamental forecast quality attributes. Next, the factors affecting the design of verification studies are presented. The recognition of uncertainties in observational data sets and the need for care in matching forecasts and observations is also discussed. A large part of the chapter is dedicated to a review of the most common deterministic and probabilistic forecast verification measures and a summary of novel spatial verification methods developed during the last two decades. Types of S2S forecasts and current verification practices are presented. The chapter concludes with a summary, challenges, and recommendations for advancing S2S verification research and practice.
%E Robertson, Andrew W.,
%E Vitart, Frédéric,
%T Forecast verification for S2S time scales
%@isbn 9780128117149
%@electronicmailaddress caio.coelho@inpe.br
%@secondarytype PRE LI
%K Forecast quality assessment, Forecast performance attributes, Forecast verification methods across timescales and space scales, Seamless verification, User-oriented verification.
%B Sub-seasonal to seasonal prediction: the gap between weather and climate forecasting
%@usergroup lattes
%@group DIDOP-CGCPT-INPE-MCTIC-GOV-BR
%F lattes: 4978912302419377 1 CoelhoBroWilMitCas:2018:FoVeS2
%U https://www.elsevier.com/books/sub-seasonal-to-seasonal-prediction/robertson/978-0-12-811714-9
%2 sid.inpe.br/plutao/2018/12.14.21.08.01
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation National Center for Atmospheric Research
%@affiliation Environment and Climate Change Canada
%@affiliation UK Met Office
%@affiliation Environment and Climate Change Canada
%I Elsevier
%P 1
%4 sid.inpe.br/plutao/2018/12.14.21.08
%D 2019
%@documentstage not transferred
%@doi 10.1016/B978-0-12-811714-9.00016-4
%A Coelho, Caio Augusto dos Santos,
%A Brown, Barbara,
%A Wilson, Laurence,
%A Mittermaier, Marion,
%A Casati, Barbara,
%@area MET
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}