QUALYPSO.process.scenario

These functions use data augmentation and Bayesian techniques for the assessment of single-member and incomplete ensembles of climate projections. It provides unbiased estimates of climate change responses of all simulation chains and of all uncertainty variables. It additionally propagates uncertainty due to missing information in the estimates.
- Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019) <doi:10.1175/JCLI-D-18-0606.1>.

Guillaume Evin

QUALYPSO

Partitioning Uncertainty Components of an Incomplete Ensemble of
Climate Projections

QUALYPSO.process.scenario function

<dl><dt>scenAvail</dt>
<dd>data.frame <code>nS</code> x <code>nEff</code> with the <code>nEff</code> characteristics (e.g. type of GCM) for each of the <code>nS</code> x <code>nS</code> scenarios</dd></dl>

Arguments

Author

QUALYPSO.process.scenario — QUALYPSO.process.scenario

<dl>

<dt>scenAvail</dt>
<dd>data.frame <code>nS</code> x <code>nEff</code> with the <code>nEff</code> characteristics (e.g. type of GCM) for each of the <code>nS</code> x <code>nS</code> scenarios</dd>

</dl>

QUALYPSO.process.scenario: QUALYPSO.process.scenario

Description

Usage

Value

Arguments

Author