Development and analysis of the Soil Water Infiltration Global database
Authors: 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 , Rezaei Meisam , Roberts Francis Parry , Robinson David , 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 
Published: July 2018

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 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
https://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.