Journal ArticleDOI
Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network
Wouter Dorigo,Angelika Xaver,Mariette Vreugdenhil,Alexander Gruber,Alena Hegyiova,A. D. Sanchis-Dufau,D. Zamojski,C. Cordes,Wolfgang Wagner,Matthias Drusch +9 more
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In this article, a new automated quality control system for soil moisture measurements contained in the International Soil Moisture Network (ISMN) is presented, which includes flagging values exceeding a certain threshold and checking validity of soil moisture variations in relation to changes in soil temperature and precipitation.Abstract:
The International Soil Moisture Network (ISMN) was initiated in 2009 to support calibration and validation of remote sensing products and land surface models, and to facilitate studying the behavior of our climate over space and time. The ISMN does this by collecting and harmonizing soil moisture data sets from a large variety of individually operating networks and making them available through a centralized data portal. Due to the diversity of climatological conditions covered by the stations and differences in measurement devices and setup, the quality of the measurements is highly variable. Therefore, appropriate quality characterization is desirable for a correct use of the data sets. This study presents a new, automated quality control system for soil moisture measurements contained in the ISMN. Two types of quality control procedures are presented. The first category is based on the geophysical dynamic range and consistency of the measurements. It includes flagging values exceeding a certain threshold and checking the validity of soil moisture variations in relation to changes in soil temperature and precipitation. In particular, the usability of global model- or remote sensing–based temperature and precipitation data sets were tested for this purpose as an alternative to in situ measurements, which are often not recorded at the soil moisture sites themselves. The second category of procedures analyzes the shape of the soil moisture time series to detect outliers (spikes), positive and negative breaks, saturation of the signal, and unresponsive sensors. All methods were first validated and then applied to all the data sets currently contained in the ISMN. A validation example of an AMSR-E satellite and a GLDAS-Noah model product showed a small but positive impact of the flagging. On the basis of the positive results of this study we will add the flags as a standard attribute to all soil moisture measurements contained in the ISMN.read more
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Journal ArticleDOI
GLEAM v3: satellite-based land evaporation and root-zone soil moisture
Brecht Martens,Diego G. Miralles,Diego G. Miralles,Hans Lievens,Hans Lievens,Robin van der Schalie,Richard de Jeu,Diego Fernández-Prieto,Hylke E. Beck,Wouter Dorigo,Wouter Dorigo,Niko E. C. Verhoest +11 more
TL;DR: The Global Land Evaporation Amsterdam Model (GLEAM) as discussed by the authors is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data.
Journal ArticleDOI
ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions
Wouter Dorigo,Wolfgang Wagner,Clément Albergel,Franziska Albrecht,Gianpaolo Balsamo,Luca Brocca,Daniel Chung,Martin Ertl,Matthias Forkel,Alexander Gruber,E. M. Haas,P. D. Hamer,Martin Hirschi,Jaakko Ikonen,Richard de Jeu,R. Kidd,William Lahoz,Yi Y. Liu,Diego G. Miralles,Diego G. Miralles,Thomas Mistelbauer,Nadine Nicolai-Shaw,Robert Parinussa,Chiara Pratola,Chiara Pratola,Christoph Reimer,Robin van der Schalie,Sonia I. Seneviratne,Tuomo Smolander,Pascal Lecomte +29 more
TL;DR: The European Space Agency (ESA) released the first multi-decadal, global satellite-observed soil moisture (SM) dataset as part of its Climate Change Initiative (CCI) program.
Journal ArticleDOI
Validation of SMAP surface soil moisture products with core validation sites
Andreas Colliander,Thomas J. Jackson,Rajat Bindlish,S. Chan,Narendra N. Das,Seung-Bum Kim,Michael H. Cosh,R. S. Dunbar,Lenny Dang,L. Pashaian,Jun Asanuma,Kentaro Aida,Aaron A. Berg,Tracy Rowlandson,David D. Bosch,Todd G. Caldwell,Kelly K. Caylor,David C. Goodrich,H. K. Al Jassar,Ernesto Lopez-Baeza,José Martínez-Fernández,A. Gonzalez-Zamora,Stan Livingston,H. McNairn,A. Pacheco,Mahta Moghaddam,Carsten Montzka,Claudia Notarnicola,Georg Niedrist,Thierry Pellarin,John H. Prueger,Jouni Pulliainen,Kimmo Rautiainen,J. Ramos,Mark S. Seyfried,Patrick J. Starks,Zhongbo Su,Yijian Zeng,R. van der Velde,M. Thibeault,Wouter Dorigo,Mariette Vreugdenhil,Jeffrey P. Walker,Xiaoling Wu,Alessandra Monerris,Peggy O'Neill,Dara Entekhabi,Eni G. Njoku,Simon Yueh +48 more
TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
Journal ArticleDOI
Evaluation of the ESA CCI soil moisture product using ground-based observations
Wouter Dorigo,Alexander Gruber,R.A.M. de Jeu,Wolfgang Wagner,Tobias Stacke,Alexander Loew,Clément Albergel,Luca Brocca,Daniel Chung,Robert Parinussa,R. Kidd +10 more
TL;DR: In this paper, the authors evaluated the skill of a new, merged soil moisture product (ECV_SM) that has been developed in the framework of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative projects.
Journal ArticleDOI
ERA-Interim/Land: a global land surface reanalysis data set
Gianpaolo Balsamo,Clément Albergel,Anton Beljaars,Souhail Boussetta,Eric Brun,Hannah Cloke,Dick Dee,Emanuel Dutra,Joaquín Muñoz-Sabater,Florian Pappenberger,P. de Rosnay,Timothy N. Stockdale,Frederic Vitart +12 more
TL;DR: The ERA-Interim/Land dataset as discussed by the authors provides a global integrated and coherent estimate of soil moisture and snow water equivalent, which can also be used for the initialization of numerical weather prediction and climate models.
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