5.Output of the Global Crop Water Model GCWM (yields of irrigated and rainfed crops, blue and green crop water requirements, virtual water contents and flows)

Title

Output of the Global Crop Water Model GCWM (yields of irrigated and rainfed crops, blue and green crop water requirements, virtual water contents and flows)

Date

2010 (crop yield, water use), 2013 (virtual water flows)

Version

1.0

Former versions

-

Abstract

Crop water requirements of irrigated crops and crop water use of rainfed crops is calculated by the Global Crop Water Model (GCWM) for the period 1998-2002 based on a soil water balance performed in daily time steps.Crop yields of rainfed and irrigated crops are distinguished by downscaling yields reported in national and subnational agricultural statistics (Monfreda et al., 2008) by considering drought stress simulated for rainfed agriculture. Virtual water contents are calculated as ratio between crop water use and crop yield. Domestic virtual water flows are determined by calculating a balance between crop production and crop consumption at grid cell level and establishing flows from surplus cells (major production areas) to deficit cells (highly populated regions). Crop growing areas, sowing and harvest dates were derived from the global data set of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000). Consequently, crop water use (blue and green) is computed for the crops wheat, rice, maize, barley, rye, millet, sorghum, soybeans, sunflower, potatoes, cassava, sugar cane, sugar beet, oil palm, rapeseed/canola, groundnuts/peanuts, pulses, citrus, date palm, grapes/vine, cocoa, coffee, cotton and unspecified other crops (other perennial crops, other annual crops, fodder grasses). For the calculation of crop yields, virtual water contents and virtual water flows we distinguish in addition the usage of maize, rye and sorghum for grain or forage. Virtual water flows are computed for crops traded mainly as primary commodities (all specific crops except of sugar cane, sugar beet and cotton). The data set has a spatial resolution of 5 arc-minutes by 5 arc-minutes.

Format

ASCII-grids (global, 5 arc-minute) or text files (country data).

Purpose

Assessments of the impact ofproduction and consumption of crops on water resources or, vice versa, the impact of water management on agricultural production. We advise to use the data set for global assessments or at the scale of world regions.

Data download

Alternative URL

https://hessenbox-a10.rz.uni-frankfurt.de/getlink/fiKoG6zcasZ3fhNY9ThLXY1C/GCWM.zip/ (ca. 1.4 GB)

Documentation

Alternative URL

See references below

http://www2.uni-frankfurt.de/45217988/GCWM

Keywords

agriculture, water resources, crop production, water use,irrigation, virtual water, blue water, green water, land cover, water footprint, global data, global modeling

Please cite as

Hoff, H., Döll, P., Fader, M., Gerten, D., Hauser, S., & Siebert, S. (2014): Water footprints of cities - indicators for sustainable consumption and production. Hydrology and Earth System Sciences 18, 213-226, 2014. DOI:10.5194/hess-18-213-2014

Siebert, S. & Döll, P. (2010): Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation. Journal of Hydrology 384, 198-217. DOI:10.1016/j.jhydrol.2009.07.031.