In mpio-be/windR: Analysis of tracking data in relation to wind

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Download ERA_Interim wind data

Description of the data set: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim Data can be downloaded manually, but only for single complete month. To specifiy a time period use Python:

Follow intruction given on their website (registration required): https://software.ecmwf.int/wiki/display/WEBAPI/Access+ECMWF+Public+Datasets to get ready for data download via Python

Adapt the script to your requirements.

The code below initiates the data processing. The data can then be downloaded here: http://apps.ecmwf.int/webmars/joblist/

Copy this chunk into python (e.g. spyder) and run it there.

```{python, eval=FALSE}

!/usr/bin/env python

from ecmwfapi import ECMWFDataServer server = ECMWFDataServer()

server.retrieve({ "class": "ei", "dataset": "interim", # specify the date range "date": "2014-06-04/to/2014-06-07", "expver": "1", # specify resolution (0.75 is the one on which the model is created, interpolated data are now available) "grid": "0.75/0.75", # choose a pressure level: "levelist": "850", "levtype": "pl", # select u- and v- wind component, all available parameters see http://apps.ecmwf.int/codes/grib/param-db "param": "131.128/132.128", "step": "0", "stream": "oper", # time steps: model is created in 6-hour steps "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", # specify the area N/W/S/E "area": "80/0/65/360", "format" : "netcdf", "target": "ERA_Interrim_850mb_4_7_June_2014", })

```

mpio-be/windR documentation built on Feb. 2, 2020, 10:04 a.m.