served from IRI/LDEO Climate Data Library

*prcp*- grid: /prcp (ids) unordered [ (wet) (normal) (dry)] :grid
*Time*(time)- grid: /T (months since 01-Jan) periodic (Dec - Feb) to (Nov - Jan) by 1.0 N= 12 pts :grid
*Longitude*(longitude)- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
*Latitude*(latitude)- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

*bufferwordsize*- 8
*CE*- null
*colorscalename*- tercileclassesscale
*CS*- null
*datatype*- doublearraytype
*file_missing_value*- -9999.0
*maxncolor*- 254
*missing_value*- NaN
*units*- degree_north
*standard units**- 0.0174532925199433 radian north
*history*- Averaged over ENSO[nino, nina] minimum 0.0% data present

Last updated: *Tue, 07 Feb 2017 23:20:29 GMT*

prcp | T | X | Y | |

mean $integral dY$ [ IRI Analyses ENSO-RP ver1950-2002 2p5deg prob ] [ X Y prcp | T] | 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 X Y prcp T
- Differentiate along X Y prcp T
- Take differences along X Y prcp T

RMS (root mean square with mean *not* removed) over X Y prcp T | X Y X prcp X T Y prcp Y T prcp T | X Y prcp X Y T X prcp T Y prcp T | X Y prcp T |

RMSA (root mean square with mean removed) over X Y prcp T | X Y X prcp X T Y prcp Y T prcp T | X Y prcp X Y T X prcp T Y prcp T | X Y prcp T |

Maximum over X Y prcp T | X Y X prcp X T Y prcp Y T prcp T | X Y prcp X Y T X prcp T Y prcp T | X Y prcp T |

Minimum over X Y prcp T | X Y X prcp X T Y prcp Y T prcp T | X Y prcp X Y T X prcp T Y prcp T | X Y prcp T |

Detrend (best-fit-line) over X Y prcp T | X Y X prcp X T Y prcp Y T prcp T | X Y prcp X Y T X prcp T Y prcp T | X Y prcp T |

Note on units