<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.hydrol-earth-syst-sci.net/inc/hess/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>12</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/hess-12-863-2008</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/12/863/2008/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/12/863/2008/hess-12-863-2008.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/12/863/2008/hess-12-863-2008.pdf</fulltext_pdf>
	<start_page>863</start_page>
	<end_page>885</end_page>
	<publication_date>2008-05-29</publication_date>
	<article_title content_type="html">Global-scale modeling of groundwater recharge</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. Döll</name>
			<email>p.doell@em.uni-frankfurt.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>K. Fiedler</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Physical Geography, University of Frankfurt, Frankfurt am Main, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Long-term average groundwater recharge, which is equivalent to renewable
groundwater resources, is the major limiting factor for the sustainable use
of groundwater. Compared to surface water resources, groundwater resources
are more protected from pollution, and their use is less restricted by
seasonal and inter-annual flow variations. To support water management in a
globalized world, it is necessary to estimate groundwater recharge at the
global scale. Here, we present a best estimate of global-scale long-term
average diffuse groundwater recharge (i.e. renewable groundwater resources)
that has been calculated by the most recent version of the WaterGAP Global
Hydrology Model WGHM (spatial resolution of 0.5&amp;deg; by 0.5&amp;deg;, daily time
steps). The estimate was obtained using two state-of-the-art global data
sets of gridded observed precipitation that we corrected for measurement
errors, which also allowed to quantify the uncertainty due to these equally
uncertain data sets. The standard WGHM groundwater recharge algorithm was
modified for semi-arid and arid regions, based on independent estimates of
diffuse groundwater recharge, which lead to an unbiased estimation of
groundwater recharge in these regions. WGHM was tuned against observed
long-term average river discharge at 1235 gauging stations by adjusting,
individually for each basin, the partitioning of precipitation into
evapotranspiration and total runoff. We estimate that global groundwater
recharge was 12 666 km&lt;sup&gt;3&lt;/sup&gt;/yr for the climate normal 1961&amp;ndash;1990, i.e. 32%
of total renewable water resources. In semi-arid and arid regions,
mountainous regions, permafrost regions and in the Asian Monsoon region,
groundwater recharge accounts for a lower fraction of total runoff, which
makes these regions particularly vulnerable to seasonal and inter-annual
precipitation variability and water pollution. Average per-capita renewable
groundwater resources of countries vary between 8 m&lt;sup&gt;3&lt;/sup&gt;/(capita yr)
for Egypt to more than 1 million m&lt;sup&gt;3&lt;/sup&gt;/(capita yr) for the Falkland
Islands, the global average in the year 2000 being
2091 m&lt;sup&gt;3&lt;/sup&gt;/(capita yr). Regarding the uncertainty of estimated
groundwater resources due to the two precipitation data sets, deviation
from the mean is 1.1% for the global value, and less than 1% for 50 out of the 165 countries considered,
between 1 and 5% for 62, between 5 and 20% for 43 and between 20 and
80% for 10 countries. Deviations at the grid scale can be much larger,
ranging between 0 and 186 mm/yr.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Adam, J. C. and Lettenmeier, D. P.: Adjustment of global gridded precipitation for systematic bias, J. Geophys. Res.-Atmos., 108(D9), 4257, doi:10.1029/2002JD002499, 2003. </reference>
		<reference numeration="2" content_type="text"> Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrol. Sci., 48, 317&amp;ndash;337, 2003. </reference>
		<reference numeration="3" content_type="text"> Brown, J., Ferrians Jr., O. J., Heginbottom, J. A., and Melnikov, E. S.: Digital Circum-Arctic Map of Permafrost and Ground-Ice Conditions, International Permafrost Association Data and Information Working Group, Circumpolar Active-Layer Permafrost System (CAPS), CD-ROM version 1.0. National Snow and Ice Data Center, University of Colorado, Boulder, 1998. </reference>
		<reference numeration="4" content_type="text"> Bullock, A., Andrew, A., and Mngodo, R.: Regional surface water resources and drought assessment, in: UNESCO Tech. Doc. in Hydrol. No. 15, Southern African FRIEND, Paris, 40&amp;ndash;93, 1997. </reference>
		<reference numeration="5" content_type="text"> Canadian Geological Survey: Generalized Geological Map of the World and Linked Databases, Open File Report 2915d, CD-ROM, 1995. </reference>
		<reference numeration="6" content_type="text"> CIESIN (Center for International Earth Science Information Network): Gridded Population of the World Version 3 (GPWv3): Population Grids, Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University, http://sedac.ciesin.columbia.edu/gpw, 2005. </reference>
		<reference numeration="7" content_type="text"> Dirmeyer, P. A., Gao, X.., Zhao, M., Guo, Y., Oki, T., and Hanasaki, N.: The Second Global Soil Wetness Project (GSWP-2): Multi-Model Analysis and Implications for our Perception of the Land Surface, COLA Technical Report, ftp://grads.iges.org/pub/ctr/ctr_185.pdf, 2005. </reference>
		<reference numeration="8" content_type="text"> Döll, P. and Flörke, M.: Global-Scale Estimation of Diffuse Groundwater Recharge, Frankfurt Hydrology Paper 03, Institute of Physical Geography, Frankfurt University, Frankfurt am Main, 2005. </reference>
		<reference numeration="9" content_type="text"> Döll, P., Kaspar, F., and Lehner, B.: A global hydrological model for deriving water availability indicators: model tuning and validation, J. Hydrol., 270, 105&amp;ndash;134, 2003. </reference>
		<reference numeration="10" content_type="text"> Döll, P. and Lehner, B.: Validation of a new global 30-min drainage direction map, J. Hydrol., 258, 214&amp;ndash;231, 2002. </reference>
		<reference numeration="11" content_type="text"> Döll, P. and Siebert, S.: Global modeling of irrigation water requirements, Water Resour. Res., 38, 8.1&amp;ndash;8.10, doi:10.1029/2001WR000355, 2002. </reference>
		<reference numeration="12" content_type="text"> Döll, P., Lehner, B., and Kaspar, F.: Global modeling of groundwater recharge, in: Proceedings of Third International Conference on Water Resources and the Environment Research, edited by: Schmitz, G. H., Technical University of Dresden, Germany, I, 27&amp;ndash;31, 2002. </reference>
		<reference numeration="13" content_type="text"> ESRI (Environmental Systems Research Institute): Data and Maps 2004, 2004. </reference>
		<reference numeration="14" content_type="text"> FAO (Food and Agriculture Organization of the United Nations): Digital Soil Map of the World and Derived Soil Properties, CD-ROM version 3.5, 1995. </reference>
		<reference numeration="15" content_type="text"> FAO (Food and Agriculture Organization of the United Nations): Review of world water resources by country, FAO Water Report No. 23, Rome, 2003. </reference>
		<reference numeration="16" content_type="text"> FAO (Food and Agriculture Organization of the United Nations), Land and Water Development Division: AQUASTAT online database, including water resources per country, http://www.fao.org/nr/water/aquastat/dbase/index.stm, 2005. </reference>
		<reference numeration="17" content_type="text"> Feick, S., Siebert, S., and Döll, P.: A Digital Global Map of Artificially Drained Agricultural Areas, Frankfurt Hydrology Paper 04, Institute of Physical Geography, Frankfurt University, Frankfurt am Main, http://www.geo.uni-frankfurt.de/ipg/ag/dl/publikationen/index.html, 2005. </reference>
		<reference numeration="18" content_type="text"> Fuchs, T., Schneider, U., and Rudolf, B.: Global precipitation analysis products of GPCC, GPCC/Deutscher Wetterdienst, http://www.dwd.de/en/FundE/Klima/KLIS/int/GPCC/Reports_Publications/QR/GPCC_intro_products_2007.pdf, 2007. </reference>
		<reference numeration="19" content_type="text"> Güntner, A., Stuck, J., Werth, S., Döll, P., Verzano, K., and Merz, B.: A global analysis of temporal and spatial variations in continental water storage, Water Resour. Res., 43, W05416, doi:10.1029/2006WR005247, 2007a. </reference>
		<reference numeration="20" content_type="text"> Güntner, A., Schmidt, R., and Döll, P.: Supporting large-scale hydrogeological monitoring and modelling by time-variable gravity data, Hydrogeol. J., 15, 167&amp;ndash;170, doi:10.1007/s10040-006-0089-1, 2007b. </reference>
		<reference numeration="21" content_type="text"> Guo, Z., Dirmeyer, P.A., Hu, Z.-Z., Gao, X., and Zhao, M.: Evaluation of the Second Global Soil Wetness Project soil moisture simulations: 2. Sensitivity to external meteorological forcing, J. Geophys. Res., 111, D22S03, doi:10.1029/2006JD007845, 2006. </reference>
		<reference numeration="22" content_type="text"> Haberlandt, U., Klöcking, B., Krysanova, V., and Becker, A.: Regionalisation of the base flow index from dynamically simulated flow components &amp;ndash; a case study in the Elbe River Basin, J. Hydrol., 248, 35&amp;ndash;53, 2001. </reference>
		<reference numeration="23" content_type="text"> Hevesi, J. A., Flint, A. L., and Flint, L. E.: Simulation of Net Infiltration and Potential Recharge Using a Distributed-Parameter Watershed Model of the Death Valley Region, Nevada and California, USGS Water-Resources Investigations Report 03-4090, Sacramento, 2003. </reference>
		<reference numeration="24" content_type="text"> Hoelzle, M. and Haeberli, W.: World Glacier Inventory. World Glacier Monitoring Service, National Snow and Ice Data Center, University of Colorado, Boulder, 1999. </reference>
		<reference numeration="25" content_type="text"> Hunger, M. and Döll, P.: Value of river discharge data for global-scale hydrological modeling, Hydrol. Earth Syst. Sci., 12, 841&amp;ndash;861, 2008.  </reference>
		<reference numeration="26" content_type="text"> Jankiewicz, P., Neumann, J., Duijnisveld, W. H. M., Wessolek, G., Wycisk, P., and Hennings, V.: Abflusshöhe, Sickerwasserrate, Grundwasserneubildung &amp;ndash; Drei Themen im Hydrologischen Atlas von Deutschland, Hydrologie und Wasserbewirtschaftung, 49, 2&amp;ndash;13, 2005. </reference>
		<reference numeration="27" content_type="text"> Janssen, P. H. M. and Heuberger, P. S. C.: Calibration of process-oriented models, Ecol. Model., 83, 55-66, 1995. </reference>
		<reference numeration="28" content_type="text"> Keese, K. E., Scanlon, B. R., and Reedy, R. C.: Assessing controls on diffuse groundwater recharge using unsaturated flow modeling, Water Resour. Res., 41, W06010, doi:10.1029/2004WR003481, 2005. </reference>
		<reference numeration="29" content_type="text"> Lavapuro, M., Lipponen, A., and Artimo, A.: Groundwater sustainability indicators: testing with Finnish data, in: Groundwater resources sustainability indicators, edited by: Vrba, J. and Lipponen, A., IHP-VI Series on Groundwater No. 14, UNESCO, 52&amp;ndash;72, 2007. </reference>
		<reference numeration="30" content_type="text"> Legates, D. R.: A climatology of global precipitation, Publ. Climatol., 40(1), Center for Climatic Research, University of Delaware, 1987. </reference>
		<reference numeration="31" content_type="text"> Lerner, D. N., Issar, A. S., and Simmers, I.: Groundwater recharge: a guide to understanding and estimating natural recharge, International Contributions to Hydrogeology, 8, Heise, Hannover, 1990. </reference>
		<reference numeration="32" content_type="text"> L&apos;vovich, M. I.: World Water Resources and their Future. American Geophysical Union, Washington D.C., 1979. </reference>
		<reference numeration="33" content_type="text"> Margat, J.: Les Eaux Souterraines dans le Monde, BRGM R31780, Orleans, 1990. </reference>
		<reference numeration="34" content_type="text"> Mitchell, T. D. and Jones, P. D.: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693&amp;ndash;712, 2005. </reference>
		<reference numeration="35" content_type="text"> Neumann, J.: Flächendifferenzierte Grundwasserneubildung von Deutschland &amp;ndash; Entwicklung und Anwendung des makroskaligen Verfahrens HAD-GW Neu, Dissertation, Martin-Luther-Universität Halle-Wittenberg, ULB Sachsen-Anhalt, 137 pp., 2005. </reference>
		<reference numeration="36" content_type="text"> New, M., Hulme, M., and Jones, P. D.: Representing twentieth century space&amp;ndash;time climate variability, Part 1: development of a 1961&amp;ndash;90 mean monthly terrestrial climatology, J. Climate, 12, 829&amp;ndash;856, 1999. </reference>
		<reference numeration="37" content_type="text"> New, M., Hulme, M., and Jones, P. D.: Representing twentieth century space-time climate variability, Part 2: development of 1901&amp;ndash;96 monthly grids of terrestrial surface climate, J. Climate, 13, 2217&amp;ndash;2238, 2000. </reference>
		<reference numeration="38" content_type="text"> Scanlon, B. R., Keese, K. E., Flint, A. L., Flint, L. E., Gaye, C. B., Edmunds, W. M., and Simmers, I.: Global synthesis of groundwater recharge in semiarid and arid regions, Hydrol. Processes, 20, 3335&amp;ndash;3370, 2006.  </reference>
		<reference numeration="39" content_type="text"> Scanlon, B. R., Healy, R. W., and Cook, P. G.: Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10, 18&amp;ndash;39, 2002. </reference>
		<reference numeration="40" content_type="text"> Seguin, J. J.: Hydrogeological Map of Africa: a prototype at 1/10 M scale, Baureau des Recherches Géologiques et Minières (BGRM)/Service Eau, France, 2005. </reference>
		<reference numeration="41" content_type="text"> Simmers, I.: Recharge of phreatic aquifers in (semi-)arid areas, A. A. Balkema, Rotterdam, 1997. </reference>
		<reference numeration="42" content_type="text"> Small, E. E.: Climatic controls on diffuse groundwater recharge in semiarid environments of the southwestern United States, Water Resour. Res., 41, W04012, doi:10.1029/2004WR003193, 2005. </reference>
		<reference numeration="43" content_type="text"> Tallaksen, L. M.: A review of baseflow recession analysis, J. Hydrol., 165, 349&amp;ndash;370, 1995. </reference>
		<reference numeration="44" content_type="text"> UNEP (United Nations Environment Programme): World Atlas of Desertification, 1992. </reference>
		<reference numeration="45" content_type="text"> Vassolo, S. and Döll, P.: Global-scale gridded estimates of thermoelectric power and manufacturing water use, Water Resour. Res., 41, W04010, doi:10.1029/2004WR003360, 2005. </reference>
		<reference numeration="46" content_type="text"> Vogel, J. C. and Van Urk, H.: Isotopic composition of groundwater in semi-arid regions of southern Africa, J. Hydrol., 25, 23&amp;ndash;26, 1975. </reference>
		<reference numeration="47" content_type="text"> WRI (World Resources Institute): EarthTrends Water Resources and Freshwater Ecosystems Data Tables, Freshwater Resources 2005, http://earthtrends.wri.org/pdf_library/data_tables/wat2_2005.pdf, 2005a. </reference>
		<reference numeration="48" content_type="text"> WRI (World Resources Institute): EarthTrends Water Resources and Freshwater Ecosystems Searchable Database, Internal Renewable Water Resources (IRWR): Groundwater recharge, volume, http://earthtrends.wri.org/searchable_db/index.php?theme=2, 2005b. </reference>
		<reference numeration="49" content_type="text"> WRI (World Resources Institute): World Resources 2000&amp;ndash;2001 &amp;ndash; People and ecosystems: The fraying web of life, 2000. </reference>
		<reference numeration="50" content_type="text"> WRI (World Resources Institute): EarthTrends Water Resources and Freshwater Ecosystems Data Tables, Groundwater and Desalinization 2000, http://earthtrends.wri.org/pdf_library/data_tables/fw2n_2000.pdf, 2000. </reference>
	</references>
</article>

