Development and analysis of the Soil Water Infiltration Global database

authored by

Mehdi Rahmati, Lutz Weihermueller, Jan Vanderborght, Yakov A. Pachepsky, Lili Mao, Seyed Hamidreza Sadeghi, Niloofar Moosavi, Hossein Kheirfam, Carsten Montzka, Kris Van Looy, Brigitta Toth, Zeinab Hazbavi, Wafa Al Yamani, Ammar A. Albalasmeh, Ma'in Z. Alghzawi, Rafael Angulo-Jaramillo, Antonio Celso Dantas Antonino, George Arampatzis, Robson Andre Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle-Aguilar, Beatrice Bechet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerda, Maha Chalhoub, Rogerio Cichota, Milena Cislerova, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, Jose Ronaldo de Macedo, Matheus Fonseca Duraes, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nandor Fodor, Mamoun Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos G. Hatzigiannakis, Rainer Horn, Juan Jose Jimenez, Diederik Jacques, Saskia Deborah Keesstra, Hamid Kelishadi, Mahboobeh Kiani-Harchegani, Mehdi Kouselou, Madan Kumar Jha, Laurent Lassabatere, Xiaoyan Li, Mark A. Liebig, Lubomir Lichner, Maria Victoria Lopez, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo de Oliveira Marques, Miles R. Marshall, Jan Mertens, Felicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido-Moncada, Suzana Montenegro, Renato Morbidelli, David Moret-Fernandez, Ali Akbar Moosavi, Mohammad Reza Mosaddeghi, Seyed Bahman Mousavi, Hasan Mozaffari, Kamal Nabiollahi, Mohammad Reza Neyshabouri, Marta Vasconcelos Ottoni, Theophilo Benedicto Ottoni Filho, Mohammad Reza Pahlavan-Rad, Andreas Panagopoulos, Stephan Peth, Pierre-Emmanuel Peyneau, Tommaso Picciafuoco, Jean Poesen, Manuel Pulido, Dalvan Jose Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David Robinson, Jesus Rodrigo-Comino, Otto Correa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renata Sandor, Brigitta Schütt, Manuel Seeger, Nasrollah Sepehrnia, Ehsan Sharifi Moghaddam, Manoj Shukla, Shiraki Shutaro, Ricardo Sorando, Ajayi Asishana Stanley, Peter Strauss, Zhongbo Su, Ruhollah Taghizadeh-Mehrjardi, Encarnacion Taguas, Wenceslau Geraldes Teixeira, Ali Reza Vaezi, Mehdi Vafakhah, Tomas Vogel, Iris Vogeler, Jana Votrubova, Steffen Werner, Thierry Winarski, Deniz Yilmaz, Michael H. Young, Steffen Zacharias, Yijian Zeng, Ying Zhao, Hong Zhao, Harry Vereecken

Abstract

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76ĝ€% of the experimental sites with agricultural land use as the dominant type (∼40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in ∗.xlsx and ∗.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.

External Organisation(s)

Kiel University
Slovak Academy of Sciences
Forschungszentrum Jülich
U.S. Department of Agriculture
Chinese Academy of Agricultural Sciences
Hungarian Academy of Sciences
University of Pannonia
Jordan University of Science and Technology
Université de Lyon
Universidade Federal de Pernambuco
University of Tehran
Centre national de la recherche scientifique (CNRS)
Universite Paris-Sud XI
Innovative Groundwater Solutions (IGS)
IFSTTAR - French institute of science and technology for transport, development and networks
Freie Universität Berlin (FU Berlin)
TU Wien (TUW)
University of Rostock
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Spanish National Research Council (CSIC)
Polytechnic University of Valencia
Czech Technical University
Universite d'Orleans
Ghent University
University of Perugia
Ferdowsi University of Mashhad (FUM)
University of California Merced
University of Bonn
University of Newcastle
Wageningen University and Research
Isfahan University of Technology
Indian Institute of Technology Kharagpur (IITKGP)
Beijing Normal University
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Université catholique de Louvain (UCL)
Texas A and M University
Aarhus University
Shiraz University
University of Kurdistan
University of Tabriz
Universidade Federal do Rio de Janeiro
University of Kassel
Universidad de Extremadura
Universidade Federal de Santa Maria
Food and Agriculture Organization of the United Nations
Universidad de Malaga
Trier University
Tottori University
Seikei University
New Mexico State University
Japan International Research Center for Agricultural Sciences
University of Twente
Universidad de Cordoba
Zanjan University
Ruhr-Universität Bochum
University of Texas at Austin
Helmholtz Centre for Environmental Research (UFZ)
Ludong University
Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE)
University of Maragheh
Tarbiat Modares University
Urmia University
Environment Agency Abu Dhabi (EAD)
Hellenic Agricultural Organization
Universidade Federal de Lavras
Makerere University
New Zealand Institute for Plant & Food Research Limited (Plant & Food Research)
Uniredentor
Brazilian Ministry of Agriculture, Livestock, and Food Supply
Ministry of Agriculture-Jahad
Studienzentrum für Kernenergie
Indian Council of Agricultural Research (ICAR)
Instituto Federal do Amazonas (IFAM)
Environment Centre Wales
ENGIE Group
Geological Survey of Brazil (CPRM)
Agricultural Research, Education and Extension Organization (AREEO)
KU Leuven
Ahmadu Bello University Zaria (ABU)
Federal Agency for Water Management
Ardakan University
Embrapa - Empresa Brasileira de Pesquisa Agropecuaria
Munzur University

Type

Article

Journal

Earth system science data

Volume

Pages

1237-1263

No. of pages

ISSN

1866-3508

Publication date

10.07.2018

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

Sustainable Development Goals

SDG 15 - Life on Land

Electronic version(s)

https://doi.org/10.5194/essd-10-1237-2018 (Access: Open)