Development and analysis of the Soil Water Infiltration Global database

Mehdi Rahmati 1, 2, * Lutz Weihermüller 3, 1 Jan Vanderborght 3, 1 Yakov A. Pachepsky 4 Lili Mao 5 Seyed Hamidreza Sadeghi 6 Niloofar Moosavi 1 Hossein Kheirfam 7 Carsten Montzka 3, 1 Kris van Looy 3, 1 Brigitta Toth 8, 9 Zeinab Hazbavi 6 Wafa Al Yamani 10 Ammar A. Albalasmeh 11 Ma’in Z Alghzawi 11 Rafael Angulo-Jaramillo 12 Antônio Celso Dantas Antonino 13 George Arampatzis 14 Robson André Armindo 15 Hossein Asadi 16 Yazidhi Bamutaze 17 Jordi Batlle-Aguilar 18, 19, 20, 21 Béatrice Béchet 22 Fabian Becker 23 Günter Blöschl 24, 25 Klaus Bohne 26 Isabelle Braud 27 Clara Castellano 28 Artemi Cerdà 29 Maha Chalhoub 18, 21 Rogerio Cichota 30 Milena Císlerová 31 Brent Clothier 32 Yves Coquet 33, 18, 21, 34 Wim Cornelis 35 Corrado Corradini 36 Artur Paiva Coutinho 13 Muriel Bastista de Oliveira 37 José Ronaldo de Macedo 38 Matheus Fonseca Durães 15 Hojat Emami 39 Iraj Eskandari 40 Asghar Farajnia 41 Alessia Flammini 42 Nándor Fodor 43 Mamoun Gharaibeh 44 Mohamad Hossein Ghavimipanah 45 Teamrat A. Ghezzehei 46 Simone Giertz 47 Evangelos G. Hatzigiannakis 14 Rainer Horn 48 Juan José Jiménez 49 Diederik Jacques 50 Saskia Deborah Keesstra 51, 52 Hamid Kelishadi 53 Mahboobeh Kiani-Harchegani 45 Mehdi Kouselou 2 Madan Kumar Jha 54 Laurent Lassabatere 12 Xiaoyan Li 55 Mark A. Liebig 56 Lubomír Lichner 57 María Victoria López 58 Deepesh Machiwal 59 Dirk Mallants 60 Micael Stolben Mallmann 61 Jean Dalmo de Oliveira Marques 62 Miles R. Marshall 63 Jan Mertens 64 Félicien Meunier 65 Mohammad Hossein Mohammadi 66 Binayak P. Mohanty 67 Mansonia Pulido-Moncada 68 Suzana Montenegro 69 Renato Morbidelli 42 David Moret-Fernández 58 Ali Akbar Moosavi 70 Mohammad Reza Mosaddeghi 53 Seyed Bahman Mousavi 2 Hasan Mozaffari 70 Kamal Nabiollahi 71 Mohammad Reza Neyshabouri 72 Marta Vasconcelos Ottoni 73 Theophilo Benedicto Ottoni Filho 74 Mohammad Reza Pahlavan-Rad 75 Andreas Panagopoulos 14 Stephan Peth 76 Pierre-Emmanuel Peyneau 77 Tommaso Picciafuoco 24, 78 Jean Poesen 79 Manuel Pulido 80 Dalvan José Reinert 81 Sabine Reinsch 63 Meisam Rezaei 82, 83 Francis Parry Roberts 63 David Robinson 63 Jesús Rodrigo-Comino 84, 85 Otto Corrêa Rotunno Filho 86 Tadaomi Saito 87 Hideki Suganuma 88 Carla Saltalippi 42 Renáta Sándor 43 Brigitta Schütt 23 Manuel Seeger 85 Nasrollah Sepehrnia 53 Ehsan Sharifi Moghaddam 45 Manoj Shukla 89 Shiraki Shutaro 90 Ricardo Sorando 91 Ajayi Asishana Stanley 92 Peter Strauss 93 Zhongbo Su 94 Ruhollah Taghizadeh-Mehrjardi 95 Encarnación Taguas 96 Wenceslau Geraldes Teixeira 97 Ali Reza Vaezi 98 Mehdi Vafakhah 45 Tomas Vogel 99 Iris Vogeler 30 Jana Votrubova 99 Steffen Werner 100 Thierry Winarski 12 Deniz Yilmaz 101 Michael H. Young 102 Steffen Zacharias 103 Yijian Zeng 94 Ying Zhao 104 Hong Zhao 94 Harry Vereecken 3, 1
* Corresponding author
34 Biogéosystèmes Continentaux - UMR7327
ISTO - Institut des Sciences de la Terre d'Orléans - UMR7327 : UMR7327
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.
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Mehdi Rahmati, Lutz Weihermüller, Jan Vanderborght, Yakov A. Pachepsky, Lili Mao, et al.. Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, Copernicus Publications, 2018, 10 (3), pp.1237-1263. ⟨10.5194/essd-10-1237-2018⟩. ⟨hal-01839192⟩

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