Development and analysis of the Soil Water Infiltration Global database

Rahmati, Mehdi; Weihermüller, Lutz; Vanderborght, Jan; Pachepsky, Yakov A.; Mao, Lili; Sadeghi, Seyed Hamidreza; Moosavi, Niloofar; Kheirfam, Hossein; Montzka, Carsten; Van Looy, Kris; Toth, Brigitta; Hazbavi, Zeinab; Al Yamani, Wafa; Albalasmeh, Ammar A.; Alghzawi, Ma'in Z.; Angulo-Jaramillo, Rafael; Antonino, Antônio Celso Dantas; Arampatzis, George; Armindo, Robson André; Asadi, Hossein; Bamutaze, Yazidhi; Batlle-Aguilar, Jordi; Béchet, Béatrice; Becker, Fabian; Blöschl, Günter; Bohne, Klaus; Braud, Isabelle; Castellano, Clara; Cerdà, Artemi; Chalhoub, Maha; Cichota, Rogerio; Císlerová, Milena; Clothier, Brent; Coquet, Yves; Cornelis, Wim; Corradini, Corrado; Coutinho, Artur Paiva; de Oliveira, Muriel Bastista; de Macedo, José Ronaldo; Durães, Matheus Fonseca; Emami, Hojat; Eskandari, Iraj; Farajnia, Asghar; Flammini, Alessia; Fodor, Nándor; Gharaibeh, Mamoun; Ghavimipanah, Mohamad Hossein; Ghezzehei, Teamrat A.; Giertz, Simone; Hatzigiannakis, Evangelos G.; Horn, Rainer; Jiménez, Juan José; Jacques, Diederik; Keesstra, Saskia Deborah; Kelishadi, Hamid; Kiani-Harchegani, Mahboobeh; Kouselou, Mehdi; Kumar Jha, Madan; Lassabatere, Laurent; Li, Xiaoyan; Liebig, Mark A.; Lichner, Lubomír; López, María Victoria; Machiwal, Deepesh; Mallants, Dirk; Mallmann, Micael Stolben; de Oliveira Marques, Jean Dalmo; Marshall, Miles R.; Mertens, Jan; Meunier, Félicien; Mohammadi, Mohammad Hossein; Mohanty, Binayak P.; Pulido-Moncada, Mansonia; Montenegro, Suzana; Morbidelli, Renato; Moret-Fernández, David; Moosavi, Ali Akbar; Mosaddeghi, Mohammad Reza; Mousavi, Seyed Bahman; Mozaffari, Hasan; Nabiollahi, Kamal; Neyshabouri, Mohammad Reza; Ottoni, Marta Vasconcelos; Ottoni Filho, Theophilo Benedicto; Pahlavan-Rad, Mohammad Reza; Panagopoulos, Andreas; Peth, Stephan; Peyneau, Pierre-Emmanuel; Picciafuoco, Tommaso; Poesen, Jean; Pulido, Manuel; Reinert, Dalvan José; Reinsch, Sabine ORCID:; Rezaei, Meisam; Roberts, Francis Parry; Robinson, David ORCID:; Rodrigo-Comino, Jesús; Rotunno Filho, Otto Corrêa; Saito, Tadaomi; Suganuma, Hideki; Saltalippi, Carla; Sándor, Renáta; Schütt, Brigitta; Seeger, Manuel; Sepehrnia, Nasrollah; Sharifi Moghaddam, Ehsan; Shukla, Manoj; Shutaro, Shiraki; Sorando, Ricardo; Stanley, Ajayi Asishana; Strauss, Peter; Su, Zhongbo; Taghizadeh-Mehrjardi, Ruhollah; Taguas, Encarnación; Teixeira, Wenceslau Geraldes; Vaezi, Ali Reza; Vafakhah, Mehdi; Vogel, Tomas; Vogeler, Iris; Votrubova, Jana; Werner, Steffen; Winarski, Thierry; Yilmaz, Deniz; Young, Michael H.; Zacharias, Steffen; Zeng, Yijian; Zhao, Ying; Zhao, Hong; Vereecken, Harry. 2018 Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, 10 (3). 1237-1263.

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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 76% 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 (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.

Item Type: Publication - Article
Digital Object Identifier (DOI):
UKCEH and CEH Sections/Science Areas: Soils and Land Use (Science Area 2017-)
ISSN: 1866-3508
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
NORA Subject Terms: Ecology and Environment
Agriculture and Soil Science
Date made live: 17 Jul 2018 15:51 +0 (UTC)

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