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harp

Data harmonization toolset for scientific earth observation data

https://github.com/stcorp/harp

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
  • ○
    Committers with academic emails
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    Institutional organization owner
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  • ○
    Scientific vocabulary similarity
    Low similarity (16.2%) to scientific vocabulary

Keywords from Contributors

pentest projection interactive serializer cycles packaging charts network-simulation archival shellcodes
Last synced: 11 months ago · JSON representation

Repository

Data harmonization toolset for scientific earth observation data

Basic Info
Statistics
  • Stars: 61
  • Watchers: 11
  • Forks: 20
  • Open Issues: 50
  • Releases: 38
Created over 10 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README 

Copyright (C) 2015-2025 S[&]T, The Netherlands

                HARP 1.26 Release Notes


HARP is a toolset for ingesting, processing and inter-comparing satellite or
model data against correlative data. The toolset is composed of a set of
command line tools, a C library of analysis functions, and import/export
interfaces for Python, R, Matlab, and IDL. The main goal of HARP is to assist
in the inter-comparison of data sets. By appropriatelty chaining calls to
the HARP command line tools one can preprocess satellite, model, and/or
correlative data such that two datasets that need to be compared end up
having the same temporal/spatial grid, same data format/structure, and same
physical unit.

The main functionalities of HARP are:
 - ingestion of product data for:
   - ACE FTS L2
   - ADM-Aeolus L1b/L2a/L2b
   - Aura OMI/TES/MLS/HIRDLS L2 + OMI L3
   - CALIPSO (Lidar L2)
   - CLOUDNET classification L2
   - AERLINET
   - ECMF GRIB (includes CAMS global model data)
   - ENVISAT GOMOS/MIPAS/SCIAMACHY L1/L2
   - ERS GOME L1/L2
   - ESA CCI Aerosol/Cloud/GHG/Ozone
   - GEOMS FTIR/Lidar/MWR/Pandora/Sonde/UVVIS-DOAS data (NDACC/EVDC)
   - GOSAT FTS L1/L2
   - Metop GOME-2/IASI L1/L2
   - NPP Suomi (CrIS/OMPS/VIIRS) L2
   - ODIN OSIRIS/SMR L2
   - QA4ECV NO2/HCHO L2
   - Sentinel 5P L1/L2
   - TEMIS ozone fields
 - import/export of data from/into HARP-specific data format
   The HARP data format standard is a convention on top of netCDF3/HDF4/HDF5
 - advanced filtering of product data
 - automatic unit conversion of quantities using udunits2
 - automatic generation of quantities ('derived variables') based on
   available product data: you just say which quantity you want, and if HARP
   has an algorithm for it and the necessary inputs quantities are in the
   product, HARP will automatically do all calculations for you
 - regridding in any dimension
 - vertical smoothing of atmospheric profiles
 - creating L3 grids
 - built-in AFGL86 and USSTD76 climatology data
 - C Library interface to all core functionality
 - direct import/export interfaces for Python, R, Matlab, and IDL
 - command line tools harpcheck, harpcollocate, harpconvert, harpdump, and
   harpmerge
 - extensive documentation, including specification of algorithms used for
   the variable derivations.


Installation
============

Installation instructions can be found in the HARP documentation or the
INSTALL file.


Documentation
=============

Full documentation in HTML is included with the HARP software.

A version matching the latest development status on GitHub can be viewed at:

    http://stcorp.github.io/harp/doc/html/index.html


Download
========

The HARP software can be downloaded from GitHub:

    https://github.com/stcorp/harp/releases/latest

If you encounter any issues with the toolkit or if you would like to see
certain functionality added then create a topic on the Atmospheric Toolbox
Forum:

    https://forum.atmospherictoolbox.org/


HARP Developers
S[&]T, The Netherlands

Owner

  • Name: S[&]T
  • Login: stcorp
  • Kind: organization
  • Location: The Netherlands

GitHub Events

Total
  • Create event: 5
  • Release event: 2
  • Issues event: 8
  • Watch event: 5
  • Delete event: 3
  • Issue comment event: 8
  • Push event: 47
  • Pull request event: 2
  • Fork event: 2
Last Year
  • Create event: 5
  • Release event: 2
  • Issues event: 8
  • Watch event: 5
  • Delete event: 3
  • Issue comment event: 8
  • Push event: 47
  • Pull request event: 2
  • Fork event: 2

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 2,411
  • Total Committers: 13
  • Avg Commits per committer: 185.462
  • Development Distribution Score (DDS): 0.168
Past Year
  • Commits: 81
  • Committers: 2
  • Avg Commits per committer: 40.5
  • Development Distribution Score (DDS): 0.037
Top Committers
Name Email Commits
Sander Niemeijer n****r@s****l 2,006
Bart Schipperijn b****n@s****l 114
A.J.Rouvoet a****t@s****l 107
Joris van Zwieten j****n@s****l 85
Arjen Jonathan a****t@g****m 40
Mark Dufour m****r@s****l 34
Olav de Haas o****s@s****l 11
dependabot[bot] 4****] 6
Maksym Brilenkov b****v@s****o 3
Kurt Schwehr s****r@g****m 2
Raphael Isemann t****r@g****m 1
Bruno Rino b****o@s****l 1
Nicolas Slusarenko n****o@s****l 1
Committer Domains (Top 20 + Academic)
stcorp.nl: 8 google.com: 1 stcorp.no: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 118
  • Total pull requests: 11
  • Average time to close issues: 7 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 23
  • Total pull request authors: 5
  • Average comments per issue: 2.08
  • Average comments per pull request: 0.18
  • Merged pull requests: 11
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 8
  • Pull requests: 1
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 20 days
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • svniemeijer (45)
  • StevenCompernolle (26)
  • schwehr (11)
  • zxdawn (8)
  • gc13141112 (3)
  • bilelomrani1 (3)
  • PowderL (2)
  • whositwhatnow (2)
  • makr-a (2)
  • PHedelt (2)
  • pubali89 (1)
  • Pratik-Bhatt190 (1)
  • monicaec (1)
  • funny000 (1)
  • a-schneider-fmi (1)
Pull Request Authors
  • dependabot[bot] (6)
  • Olavhaasie (2)
  • maksymbrl (2)
  • Teemperor (1)
  • schwehr (1)
Top Labels
Issue Labels
enhancement (41) esa-toolbox (15) bug (9) dataformat (8) s5p-vdaf (5) documentation (4) cams (3) question (3) algorithms (2)
Pull Request Labels
dependencies (6)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 2
  • Total dependent repositories: 2
  • Total versions: 5
conda-forge.org: harp
  • Versions: 5
  • Dependent Packages: 2
  • Dependent Repositories: 2
Rankings
Dependent packages count: 19.6%
Dependent repos count: 20.3%
Average: 29.7%
Forks count: 38.1%
Stargazers count: 40.8%
Last synced: 11 months ago

Dependencies

doc/environment.yml pypi