precipitation

24-hour ahead forecasts of daily accumulated precipitation at London,
UK from the high-resolution model of the
European Centre for Medium-Range Weather Forecasts (ECMWF). The data contains observations from 2012 to 2016.

datasets

Estimate specification models for the state-dependent level of an optimal quantile/expectile forecast.
Wald Tests and the test of overidentifying restrictions are implemented. Plotting of the estimated specification model is possible.
The package contains two data sets with forecasts and realizations: the daily accumulated precipitation at London, UK from the high-resolution model of the
European Centre for Medium-Range Weather Forecasts (ECMWF, <https://www.ecmwf.int/>) and GDP growth Greenbook data by the US Federal Reserve.
See Schmidt, Katzfuss and Gneiting (2015) <arXiv:1506.01917> for more details on the identification and estimation of a directive behind a point forecast.

Patrick Schmidt

PointFore

Interpretation of Point Forecasts as State-Dependent Quantiles
and Expectiles

precipitation function

A data frame with 2192 rows and 2 variables:<ul>
<li>Y: daily accumulated precipitation in millimeter at London, UK (0 -- 45)</li>
<li>X: according point forecast in millimeter issued one day ahead (0 -- 40)</li>
</ul>

precipitation: daily accumulated precipitation (in millimeter) at London, UK and 24-hours-ahead forecasts of the ECMWF (1969-2011)

Description

Usage

Arguments

Format

Details