served from IRI/LDEO Climate Data Library

*Tercile Classes*- grid: /C (ids) unordered [ (Below_Normal) (Normal) (Above_Normal)] :grid
*Month Forecast Issued*- grid: /F (months since 1960-01-01) ordered [ (Mar 1998) (Jun 1998) (Sep 1998) ... (Mar 2017)] N= 203 pts :grid
*Forecast Lead Time in Months*- grid: /L (months) ordered [ (1)] :grid
*Longitude*(longitude)- grid: /X (degree_east) periodic (178.75W) to (178.75E) by 2.5 N= 144 pts :grid
*Latitude*(latitude)- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

*datatype*- realarraytype
*missing_value*- -9.0

Barnston, A. G. and S. J. Mason, 2011: Evaluation of IRI's seasonal climate forecasts for the extreme 15% tails. Wea. Forecasting, 26, 545-554.

Last updated: *Wed, 15 Mar 2017 21:51:18 GMT*

Expires: *Sun, 09 Apr 2017 00:00:00 GMT*

C | F | L | X | Y | |

IRI FD Seasonal_Forecast Extreme_Precipitation prob 1 months[ C X Y | L F] | M | M | M | M | M |
---|

- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along C X Y F
- Differentiate along C X Y F
- Take differences along C X Y F

RMS (root mean square with mean *not* removed) over C X Y F | C X C Y C F X Y X F Y F | C X Y C X F C Y F X Y F | C X Y F |

RMSA (root mean square with mean removed) over C X Y F | C X C Y C F X Y X F Y F | C X Y C X F C Y F X Y F | C X Y F |

Maximum over C X Y F | C X C Y C F X Y X F Y F | C X Y C X F C Y F X Y F | C X Y F |

Minimum over C X Y F | C X C Y C F X Y X F Y F | C X Y C X F C Y F X Y F | C X Y F |

Detrend (best-fit-line) over C X Y F | C X C Y C F X Y X F Y F | C X Y C X F C Y F X Y F | C X Y F |

Note on units