Description: OCTOPUS: An Open Cosmogenic Isotope and Luminescence Database Alexandru T. Codilean, Henry Munack, Timothy J. Cohen, Wanchese M. Saktura, Andrew Gray, and Simon M. Mudd Earth Syst. Sci. Data Discuss., https//doi.org/10.5194/essd-2018-32,2018 Manuscript under review for ESSD (discussion: open, 0 comments) We present a new open and global database of cosmogenic radionuclide and luminescence measurements in fluvial sediment that is made available to the research community via a Web Map Service. The repository and visualisation system enable easy search and discovery of available data. Use of open standards ensures that data layers are visible to other data sharing services.

Description: Development and Analysis of Soil Water Infiltration Global Database Mehdi Rahmati, Lutz Weihermüller, 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, Antônio Celso Dantas Antonino, George Arampatzis, Robson André Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle-Aguilar, Beatrice Bechet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerdà, Maha Chalhoub, Rogerio Cichota, Milena Císlerová, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, José Ronaldo de Macedo, Matheus Fonseca Durães, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nándor Fodor, Mamoun Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos G Hatzigiannakis, Rainer Horn, Juan José Jiménez, Diederik Jacques, Saskia Deborah Keesstra, Hamid Kelishadi, Mahboobeh Kiani-Harchegani, Mehdi Kouselou, Madan Kumar Jha, Laurent Lassabatere, Xiaoyan Li, Mark A. Liebig, Lubomír Lichner, María Victoria López, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo de Oliveira Marques, Miles R. Marshall, Jan Mertens, Félicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido Moncada, Suzana Montenegro, Renato Morbidelli, David Moret-Fernández, 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 José Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David Robinson, Jesús Rodrigo-Comino, Otto Corrêa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renáta Sándor, 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, Encarnación 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, and Harry Vereecken Earth Syst. Sci. Data Discuss., https//doi.org/10.5194/essd-2018-11,2018 Manuscript under review for ESSD (discussion: open, 0 comments) This paper presents and analyzes a global database of soil infiltration data, the SWIG database, for the first time. 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 or they were digitized from published articles. 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.

Description: DamaGIS: a multisource geodatabase for collection of flood-related damage data Clotilde Saint-Martin, Pierre Javelle, and Freddy Vinet Earth Syst. Sci. Data Discuss., https//doi.org/10.5194/essd-2018-28,2018 Manuscript under review for ESSD (discussion: open, 2 comments) DamaGIS is a GIS database which aims to collect and assess flood-related damage data at the local scale. The reason for creating this database was the lack of precise damage data available to calibrate and validate flood risk assessment models. To this end, DamaGIS offers highly precise and easily accessible flood-related damage data. It uses multiple sources such as social networks. Since 2011, 729 damage caused by 23 flood events in the South of France have been reported within the database.

Description: A 20-year record (1998–2017) of permafrost, active layer and meteorological conditions at a high Arctic permafrost research site (Bayelva, Spitsbergen) Julia Boike, Inge Juszak, Stephan Lange, Sarah Chadburn, Eleanor Burke, Pier Paul Overduin, Kurt Roth, Olaf Ippisch, Niko Bornemann, Lielle Stern, Isabelle Gouttevin, Ernst Hauber, and Sebastian Westermann Earth Syst. Sci. Data, 10, 355-390, https://doi.org/10.5194/essd-10-355-2018, 2018 A 20-year data record from the Bayelva site at Ny-Ålesund, Svalbard, is presented on meteorology, energy balance components, surface and subsurface observations. This paper presents the data set, instrumentation, calibration, processing and data quality control. The data show that mean annual, summer and winter soil temperature data from shallow to deeper depths have been warming over the period of record, indicating the degradation and loss of permafrost at this site.

Description: Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone Valery Kashparov, Sviatoslav Levchuk, Marina Zhurba, Valentyn Protsak, Yuri Khomutinin, Nicholas A. Beresford, and Jacqueline S. Chaplow Earth Syst. Sci. Data, 10, 339-353, https://doi.org/10.5194/essd-10-339-2018, 2018 Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone describe data from analysis of samples collected by the Ukrainian Institute of Agricultural Radiology after the Chernobyl nuclear accident between May 1986 and 2014 at sites inside the Chernobyl Exclusion Zone and other areas of interest. The data and supporting documentation are freely available from the Environmental Information Data Centre: https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf .

Description: The Alberta smoke plume observation study Kerry Anderson, Al Pankratz, Curtis Mooney, and Kelly Fleetham Earth Syst. Sci. Data, 10, 325-337, https://doi.org/10.5194/essd-10-325-2018, 2018 A field project was conducted to measure smoke plumes from wildland fires in Alberta. This study used handheld inclinometers and photos taken at fire lookout towers. Observations of 222 plumes were collected from 2010 to 2015. Unanticipated issues were uncovered including instrument limitations, environmental conditions, and subjectivity of observations. Despite these problems, the data set showed responses to fire behaviour conditions consistent with processes leading to plume rise.

Description: Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5 Angeline G. Pendergrass, Andrew Conley, and Francis M. Vitt Earth Syst. Sci. Data, 10, 317-324, https://doi.org/10.5194/essd-10-317-2018, 2018 We document and validate radiative kernels for the surface and top-of-atmosphere calculated with NCAR's CESM1 climate model. A radiative kernel is the change in radiation in response to a small change in a property of the atmosphere or surface, essentially a partial derivative. They are used to quantify temperature, water vapor, surface albedo, and cloud feedbacks. We made these kernels because few are available for the surface. We also validate the kernels against the expected model responses.

Description: Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014 Esteban Alonso-González, J. Ignacio López-Moreno, Simon Gascoin, Matilde García-Valdecasas Ojeda, Alba Sanmiguel-Vallelado, Francisco Navarro-Serrano, Jesús Revuelto, Antonio Ceballos, María Jesús Esteban-Parra, and Richard Essery Earth Syst. Sci. Data, 10, 303-315, https://doi.org/10.5194/essd-10-303-2018, 2018 We present a new daily gridded snow depth and snow water equivalent database over the Iberian Peninsula from 1980 to 2014 structured in common elevation bands. The data have proved their consistency with in situ observations and remote sensing data (MODIS). The presented dataset may be useful for many applications, including land management, hydrometeorological studies, phenology of flora and fauna, winter tourism and risk management.

Description: Baseline Surface Radiation Network (BSRN): structure and data description (1992–2017) Amelie Driemel, John Augustine, Klaus Behrens, Sergio Colle, Christopher Cox, Emilio Cuevas-Agulló, Fred M. Denn, Thierry Duprat, Masato Fukuda, Hannes Grobe, Martial Haeffelin, Nicole Hyett, Osamu Ijima, Ain Kallis, Wouter Knap, Vasilii Kustov, Charles N. Long, David Longenecker, Angelo Lupi, Marion Maturilli, Mohamed Mimouni, Lucky Ntsangwane, Hiroyuki Ogihara, Xabier Olano, Marc Olefs, Masao Omori, Lance Passamani, Enio Bueno Pereira, Holger Schmithüsen, Stefanie Schumacher, Rainer Sieger, Jonathan Tamlyn, Roland Vogt, Laurent Vuilleumier, Xiangao Xia, Atsumu Ohmura, and Gert König-Langlo Earth Syst. Sci. Data Discuss., https//doi.org/10.5194/essd-2018-8,2018 Manuscript under review for ESSD (discussion: open, 0 comments) The Baseline Surface Radiation Network (BSRN), collects and centrally archives high quality ground-based radiation measurements in 1-minute resolution. More than 10 300 months, i.e. 〉 850 years, of high radiation data in one-minute resolution from the years 1992 to 2017 are available. The network currently comprises 59 stations collectively representing all seven continents as well as island-based stations in the Pacific, Atlantic, Indian and Arctic Oceans.

Description: Ship- and island-based soundings from the 2016 El Niño Rapid Response (ENRR) field campaign Leslie M. Hartten, Christopher J. Cox, Paul E. Johnston, Daniel E. Wolfe, Scott Abbott, H. Alex McColl, Xiao-Wei Quan, and Matthew G. Winterkorn Earth Syst. Sci. Data Discuss., https//doi.org/10.5194/essd-2018-7,2018 Manuscript under review for ESSD (discussion: open, 1 comment) Radiosonde data collected during NOAA's El Niño Rapid Response Field Campaign in early 2016 have been reprocessed and lightly quality controlled. Temperature, humidity, and wind soundings from Kiritimati Island and the NOAA Ship Ronald H. Brown capture the repeated advance and retreat of the ITCZ at Kiritimati, a variety of marine tropospheric environments encountered by the ship, and lower-stratospheric features of the 2015–2016 QBO (quasi-biennial oscillation).