Add CCMP_v2 winds

repo_name: CCMP_v2

people: >

    Willi Rath (<wrath@geomar.de>), Josefine Herrford (<jherrford@geomar.de>),

    Kristin Burmeister (<kburmeister@geomar.de>)

http_path_remote: https://git.geomar.de/data/CCMP_v2

git_path_remote: git@git.geomar.de:data/CCMP_v2.git

repo_description: |

    Cross-Calibrated Multi-Platform (CCMP) gridded surface vector winds from

    <http://www.remss.com/measurements/ccmp/>.

acknowledgements: >

    CCMP Version-2.0 vector wind analyses are produced by Remote Sensing

    Systems. Data are available at www.remss.com.

citations:

    - text: "Wentz, F.J., J. Scott, R. Hoffman, M. Leidner, R. Atlas, J.

        Ardizzone, 2015: Remote Sensing Systems Cross-Calibrated Multi-Platform

        (CCMP) 6-hourly ocean vector wind analysis product on 0.25 deg grid,

        Version 2.0, [indicate date subset, if used]. Remote Sensing Systems,

        Santa Rosa, CA. Available online at www.remss.com/measurements/ccmp."

      doi: "---"

    - text: "Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C.

        Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform

        ocean surface wind velocity product for meteorological and

        oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174."

      doi: "10.1175/2010BAMS2946.1"

prefixes: data doc

data:

    - url: "http://data.remss.com/ccmp/v02.0/"

      cut_dirs: 2

      prefix: data

      accept_files: "*.*"

      method: !!python/name:data_repo_renderer.WgetRecursive

doc:

    - url: "http://data.remss.com/ccmp/read_routines/"

      cut_dirs: 1

      prefix: doc

      accept_files: "*.py"

      method: !!python/name:data_repo_renderer.WgetRecursive

    - url: "http://data.remss.com/ccmp/readme_ccmp.pdf"

      file_name: data.remss.com_ccmp_readme_ccmp.pdf

      prefix: doc

      method: !!python/name:data_repo_renderer.CurlSingleFile

    - url: "http://www.remss.com/measurements/ccmp/"

      file_name: www.remss.com_measurements_ccmp.html

      prefix: doc

      method: !!python/name:data_repo_renderer.CurlSingleFile

post_processing:

    - util/convert_to_netCDF4_classic.sh

#!/bin/bash

# define and export convert function

function convert_to_nc4c {

    file_name=$1

    echo "converting ${file_name}"

    nccopy -7 -d 1 -s -c "time/1,latitude/100,longitude/100" \

        ${file_name} ${file_name}_tmp_nc4

    mv ${file_name}_tmp_nc4 ${file_name}

}

export -f convert_to_nc4c

# compress all nc-files in data

find data/ -type f -iname \*.nc -print0 | \

    xargs -0 -n1 -P4 -I {} bash -c "convert_to_nc4c {}"