Wolfgang Wagner

Prof. Wolfgang Wagner

Research Group Remote Sensing, Department of Geodesy and Geoinformation (GEO), Vienna University of Technology (TU Wien), Gusshausstrasse 27-29, 1040 Vienna, Austria
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2017 in Remote Sensing of Environment
Verified
Journal Article
Closed access
WDWouter Dorigo
Wouter Dorigo
WWWolfgang Wagner
Wolfgang Wagner
CAClement Albergel
Clement Albergel
FAFranziska Albrecht
Franziska Albrecht
Gianpaolo BalsamoGianpaolo Balsamo
Gianpaolo Balsamo
PLPascal Lecomte
Pascal Lecomte

1 November 1999 in Remote Sensing of Environment
Verified
Journal Article
Closed access
WWWolfgang Wagner
Wolfgang Wagner
GLGuido Lemoine
Guido Lemoine
HRHelmut Rott
Helmut Rott

30 May 2011 in Hydrology and Earth System Sciences
Verified
Journal Article
Open access
PDF file
WDWouter Dorigo
Wouter Dorigo
WWWolfgang Wagner
Wolfgang Wagner
RHRoland Hohensinn
Roland Hohensinn
SHS. Hahn
S. Hahn
CPChristoph Paulik
Christoph Paulik
TJT. Jackson
T. Jackson
In situ measurements of soil moisture are invaluable for calibrating and validating land surface models and satellite-based soil moisture retrievals. In addition, long-term time series of in situ soil moisture measurements themselves can reveal trends in the water cycle related to climate or land cover change. Nevertheless, on a worldwide basis the number of meteorological networks and stations measuring soil moisture, in particular on a continuous basis, is still limited and the data they provide lack standardization of technique and protocol. To overcome many of these limitations, the International Soil Moisture Network (ISMN; http://www.ipf.tuwien.ac.at/insitu) was initiated to serve as a centralized data hosting facility where globally available in situ soil moisture measurements from operational networks and validation campaigns are collected, harmonized, and made available to users. Data collecting networks share their soil moisture datasets with the ISMN on a voluntary and no-cost basis. Incoming soil moisture data are automatically transformed into common volumetric soil moisture units and checked for outliers and implausible values. Apart from soil water measurements from different depths, important metadata and meteorological variables (e.g., precipitation and soil temperature) are stored in the database. These will assist the user in correctly interpreting the soil moisture data. The database is queried through a graphical user interface while output of data selected for download is provided according to common standards for data and metadata. Currently (status May 2011), the ISMN contains data of 19 networks and more than 500 stations located in North America, Europe, Asia, and Australia. The time period spanned by the entire database runs from 1952 until the present, although most datasets have originated during the last decade. The database is rapidly expanding, which means that both the number of stations and the time period covered by the existing stations are still growing. Hence, it will become an increasingly important resource for validating and improving satellite-derived soil moisture products and studying climate related trends. As the ISMN is animated by the scientific community itself, we invite potential networks to enrich the collection by sharing their in situ soil moisture data.

1 August 2012 in Remote Sensing of Environment
Verified
Journal Article
Closed access
YLY.Y. Liu
Y.Y. Liu
WDWouter Dorigo
Wouter Dorigo
RPR.M. Parinussa
R.M. Parinussa
RJR.A.M. de Jeu
R.A.M. de Jeu
WWWolfgang Wagner
Wolfgang Wagner
ADA.I.J.M. van Dijk
A.I.J.M. van Dijk

23 May 2019 in Earth System Science Data
Verified
Journal Article
Open access
PDF file
AGAlexander Gruber
Alexander Gruber
TSTracy Scanlon
Tracy Scanlon
RSRobin van der Schalie
Robin van der Schalie
WWWolfgang Wagner
Wolfgang Wagner
WDWouter Dorigo
Wouter Dorigo
The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent quality-controlled long-term (1978–2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide. It harmonises and merges soil moisture retrievals from multiple satellites into (i) an active-microwave-based-only product, (ii) a passive-microwave-based-only product and (iii) a combined active–passive product, which are sampled to daily global images on a 0.25∘ regular grid. Since its first release in 2012 the algorithm has undergone substantial improvements which have so far not been thoroughly reported in the scientific literature. This paper fills this gap by reviewing and discussing the science behind the three major ESA CCI SM merging algorithms, versions 2 (https://doi.org/10.5285/3729b3fbbb434930bf65d82f9b00111c; Wagner et al., 2018 ), 3 (https://doi.org/10.5285/b810601740bd4848b0d7965e6d83d26c; Dorigo et al., 2018 ) and 4 (https://doi.org/10.5285/dce27a397eaf47e797050c220972ca0e; Dorigo et al., 2019 ), and provides an outlook on the expected improvements planned for the next algorithm, version 5.

1 February 2013 in Meteorologische Zeitschrift
Verified
Journal Article
Closed access
WWWolfgang Wagner
Wolfgang Wagner
SHSebastian Hahn
Sebastian Hahn
RKRichard Kidd
Richard Kidd
TMThomas Melzer
Thomas Melzer
ZBZoltan Bartalis
Zoltan Bartalis
KSKla Steinnocher
Kla Steinnocher