J
Jun Wen
Researcher at Chengdu University of Information Technology
Publications - 135
Citations - 3621
Jun Wen is an academic researcher from Chengdu University of Information Technology. The author has contributed to research in topics: Water content & Precipitation. The author has an hindex of 27, co-authored 122 publications receiving 2590 citations. Previous affiliations of Jun Wen include United States Department of Agriculture & Jackson State University.
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Journal ArticleDOI
The Tibetan plateau observatory of plateau scale soil moisture and soil temperature, Tibet - Obs, for quantifying uncertainties in coarse resolution satellite and model products
TL;DR: In this article, a plateau scale soil moisture and soil temperature observatory is established on the Tibetan plateau for quantifying uncertainties in coarse resolution satellite and model products of soil moisture, and an analysis is carried out to assess the reliability of several satellite products for the Naqu and the Maqu network areas.
Journal ArticleDOI
Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China
Yang Chen,Jiangzhou Xia,Shunlin Liang,Shunlin Liang,Jinming Feng,Jinming Feng,Joshua B. Fisher,Xin Li,Xianglan Li,Shuguang Liu,Zhuguo Ma,Akira Miyata,Qiaozhen Mu,Liang Sun,Jianwei Tang,Kaicun Wang,Jun Wen,Yueju Xue,Guirui Yu,Tonggang Zha,Li Zhang,Qiang Zhang,Tianbao Zhao,Liang Zhao,Wenping Yuan,Wenping Yuan +25 more
TL;DR: In this article, the authors compared eight ET models, including five empirical and three process-based models, with the objective of providing a reference for choosing and improving ET simulation methods, and found that the eight models explained between 61 and 80% of the variability in ET at 23 eddy covariance towers in China and adjacent regions.
Posted ContentDOI
The International Soil Moisture Network: Serving Earth system science for over a decade
Wouter Dorigo,Irene Himmelbauer,Daniel Aberer,Lukas Schremmer,Ivana Petrakovic,Luca Zappa,Wolfgang Preimesberger,Angelika Xaver,F. O. Annor,Jonas Ardö,Dennis D. Baldocchi,Marco Bitelli,Günter Blöschl,Heye Bogena,Luca Brocca,Jean-Christophe Calvet,J. Julio Camarero,Giorgio Capello,Minha Choi,Michael C. Cosh,Nick van de Giesen,Istvan Hajdu,Jaakko Ikonen,Karsten H. Jensen,Karsten H. Jensen,Kasturi Devi Kanniah,Ileen De Kat,Gottfried Kirchengast,Pankaj Kumar Rai,Jenni Kyrouac,Kristine M. Larson,Suxia Liu,Alexander Loew,Mahta Moghaddam,José Enrique Martínez Fernández,Cristian Mattar Bader,Renato Morbidelli,Jan Pawel Musial,Elise Osenga,Michael A. Palecki,Thierry Pellarin,George P. Petropoulos,Isabella Pfeil,Jarrett Powers,Alan Robock,Christoph Rudiger,Udo Rummel,Michael Strobel,Zhongbo Su,Ryan C. Sullivan,Torbern Tagesson,Torbern Tagesson,Andrej Varlagin,Mariette Vreugdenhil,Jeffrey P. Walker,Jun Wen,Fred Wenger,Jean-Pierre Wigneron,Mel Woods,Kun Yang,Yijian Zeng,Xiang Zhang,Marek Zreda,Stephan Dietrich,Alexander Gruber,Peter J. van Oevelen,Wolfgang Wagner,Klaus Scipal,Matthias Drusch,Roberto Sabia +69 more
TL;DR: The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures.
Journal ArticleDOI
Assessing relative soil moisture with remote sensing data: theory, experimental validation, and application to drought monitoring over the North China Plain
Zhongbo Su,Abreham Yacob,Jun Wen,Gerbert Roerink,Yanbo He,Benhu Gao,Hendrik Boogaard,Cees van Diepen +7 more
TL;DR: Based on physical consideration of land surface energy balance, a theory is proposed for assessing relative soil moisture in the rooting depth with remote sensing data as discussed by the authors, which is theoretically shown to be derivable from relative evaporation.
Journal ArticleDOI
An Improvement of Roughness Height Parameterization of the Surface Energy Balance System (SEBS) over the Tibetan Plateau
TL;DR: In this paper, the performance of SEBS has been tested and evaluated for typical land surfaces on the Tibetan Plateau on the basis of time series of observations at four sites with bare soil, sparse canopy, dense canopy, and snow surface, respectively.