Average cumulative mass balance of reference Glaciers worldwide

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Files Size Format Created Updated License Source
2 11kB csv zip 1 week ago ODC-PDDL-1.0 Average cumulative mass balance of reference Glaciers worldwide
Average cumulative mass balance of "reference" Glaciers worldwide from 1945-2014 sourced from US EPA and the World Glacier Monitoring Service (WGMS). This is cumulative change in mass balance of a set of "reference" glaciers worldwide beginning in 1945. The values represents the average of all the read more
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Data Files

File Description Size Last changed Download Other formats
glaciers [csv] 1kB glaciers [csv] glaciers [json] (6kB)
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 3kB datapackage_zip [zip]

glaciers  

This is a preview version. There might be more data in the original version.

Field information

Field Name Order Type (Format) Description
Year 1 year Year of measurement
Mean cumulative mass balance 2 number Average mass of measured glacier
Number of observations 3 number Number of glaciers observed

datapackage_zip  

This is a preview version. There might be more data in the original version.

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Average cumulative mass balance of “reference” Glaciers worldwide from 1945-2014 sourced from US EPA and the World Glacier Monitoring Service (WGMS). This is cumulative change in mass balance of a set of “reference” glaciers worldwide beginning in 1945. The values represents the average of all the glaciers that were measured. Negative values indicate a net loss of ice and snow compared with the base year of 1945. For consistency, measurements are in meters of water equivalent, which represent changes in the average thickness of a glacier.

Data

Sources

Related publications:

WGMS (2015): Global Glacier Change Bulletin No. 1 (2012-2013). Zemp, M., Gärtner-Roer, I., Nussbaumer, S.U., Hüsler, F., Machguth, H., Mölg, N., Paul, F., and Hoelzle, M. (eds.), ICSU(WDS)/IUGG(IACS)/UNEP/UNESCO/WMO, World Glacier Monitoring Service, Zurich, Switzerland, 230 pp. Based on database version: doi: 10.5904/wgms-fog-2015-11. WGMS (2013): Glacier Mass Balance Bulletin No. 12 (2010-2011). Zemp, M., Nussbaumer, S.U., Naegeli, K., Gärtner-Roer, I., Paul, F., Hoelzle, M. and Haeberli, W. (eds.), ICSU (WDS) / IUGG (IACS) / UNEP / UNESCO / WMO, World Glacier Monitoring Service, Zurich, Switzerland: 106 pp., publication based on database version:doi:10.5904/wgms-fog-2013-11.

WGMS (2012): Fluctuations of Glaciers 2005-2010 (Vol. X): Zemp, M., Frey, H., Gärtner-Roer, I., Nussbaumer, S.U., Hoelzle, M., Paul, F. & W. Haeberli (eds.), ICSU (WDS)/ IUGG (IACS)/ UNEP/ UNESCO/ WMO, World Glacier Monitoring Service, Zurich, Switzerland. Based on database version doi: 10.5904/wgms-fog-2012-11.

WGMS (World Glacier Monitoring Service). 2015 update to data originally published in: WGMS. 2013. Glacier mass balance bulletin no. 12 (2010–2011). Zemp, M., S.U. Nussbaumer, K. Naegeli, I. Gärtner-Roer, F. Paul, M. Hoelzle, and W. Haeberli (eds.). ICSU (WDS)/IUGG (IACS)/UNEP/UNESCO/WMO. Zurich, Switzerland: World Glacier Monitoring Service. http://wgms.ch/downloads/wgms_2013_gmbb12.pdf. WGMS World Glacier Monitoring Service, Zurich, Switzerland

License

Data

EPA is Federal Government so public domain we would assume.

WGMS make their data available as “Open access for scientific and educational purposes under requirement of correct citation”:

WGMS (2015): Fluctuations of Glaciers Database. World Glacier Monitoring Service, Zurich, Switzerland. DOI:10.5904/wgms-fog-2015-11.

Additional work

All the additional work made to build this Data Package is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/

Citations

WGMS (World Glacier Monitoring Service). 2015 update to data originally published in: WGMS. 2013. Glacier mass balance bulletin no. 12 (2010–2011). Zemp, M., S.U. Nussbaumer, K. Naegeli, I. Gärtner-Roer, F. Paul, M. Hoelzle, and W. Haeberli (eds.). ICSU (WDS)/IUGG (IACS)/UNEP/UNESCO/WMO. Zurich, Switzerland: World Glacier Monitoring Service. http://wgms.ch/downloads/wgms_2013_gmbb12.pdf.

Useful info

There does seem to be more recent data because there are graphs with more recent e.g. graphs like this on Climate.gov, or PDF data like this from World Glacier monitoring service and this PDF from WGMS.

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/glacier-mass-balance/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources[[1]]$path
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/glacier-mass-balance/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/glacier-mass-balance/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/glacier-mass-balance/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/glacier-mass-balance/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json