Version 2 (modified by juaco, 6 years ago) (diff) |
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Forecast verification: a worked example
In this example we obtain data from the NCEP's CFSv2 seasonal forecasting system (dataset = "CFSv2_seasonal"). In particular, in this example we will retrieve maximum daily surface temperature (var = "tasmax") for boreal summer (JJA, season = 6:8) for a rectangular domain centered on the Iberian Peninsula and France (lonLim = c(-10,15) and latLim = c(35,50)), for the period 1981-2000 (years = 1981:2000), and considering the first 9 ensemble members (members = 1:9) and a lead-month 2 forecast 2 (leadMonth = 2).
We will illustrate the verification of these predictions data against the observational gridded datasets WATCH Forcing Dataset-ERA-Interim (WFDEI, dataset = "WFDEI"), also available via the ECOMS-UDG. To this aim, we will use the tools developed within the projects SPECS and EUPORIAS. In particular, we will use the verification routines available in the R package SpecsVerification (available on CRAN). However, instead of using them directly, we will use the user-friendly interface implemented in package easyVerification, via the wrapper function veriApply.
tx.forecast <- loadECOMS(dataset = "CFSv2_seasonal", var = "tasmax", members = 1:4, lonLim = c(-10 ,15), latLim = c(35, 50), season = 6:8, years = 1991:2000, leadMonth = 2) ## [2016-05-12 12:56:18] Defining homogeneization parameters for variable "tasmax" ## [2016-05-12 12:56:18] Opening dataset... ## [2016-05-12 12:56:48] The dataset was successfuly opened ## [2016-05-12 12:56:48] Defining geo-location parameters ## [2016-05-12 12:56:49] Defining initialization time parameters ## [2016-05-12 12:56:51] Retrieving data subset ... ## [2016-05-12 13:07:02] Done plotMeanGrid(tx.forecast, multi.member = TRUE)
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