Künzer, Claudia and Zhao, Deming and Scipal, Klaus and Sabel, Daniel and Naeimi, Vahid and Bartalis, Zoltan and Hasenauer, Stefan and Mehl, Harald and Dech, Stefan and Wagner, Wolfgang (2009) El Niño southern oscillation influences represented in ERS scatterometer-derived soil moisture data. Applied Geography, Volume 29 (Issue 4), pp. 463-477. Elsevier. DOI: doi:10.1016/j.apgeog.2009.04.004 .
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Official URL: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V7K-4WV5BJH-1&_user=100058&_coverDate=12%2F31%2F2009&_rdoc=2&_fmt=high&_orig=browse&_srch=doc-info(%23toc%235845%232009%23999709995%231528380%23FLA%23display%23Volume)&_cdi=5845&_sort=d&_docanchor
Over the past decade, soil moisture products derived from microwave remote sensing data have gained increasing attention for the monitoring of agricultural, hydrological and climate processes. ERS-1 and ERS-2 scatterometer-derived time series of data available since 1992 enable the user to analyze the change of soil moisture patterns over time and to monitor events deviating from the normal. In this paper, ERS scatterometer-derived soil moisture products are compared with known occurrences of heavy rain and drought related to the strong El NiÃ±o (EN) event of 1997/1998. We investigated globally if the typical EN-related short term climate changes can be depicted in soil moisture data. EN consequences and their manifestation in the data are presented for the Americas, Africa and Asia. Furthermore, the weather situation during the EN event in China is compared to the scatterometer-derived soil moisture data set in more detail. It could be observed that most EN-related climate variations on the different continents are clearly reflected by remote sensing soil moisture data. Heavy rain and drought conditions reported in daily media, science papers, and forecasts by the NOAA Climate Prediction Center can be observed in anomaly data sets showing the deviation of soil moisture from the average. This also applies for the strong EN-related flood, which hit China in 1998 and following La NiÃ±a-related droughts. These analyses thus serve to demonstrate that information relevant to climatology is contained in the satellite scatterometer-derived soil moisture product, as well as in anomaly time series, derived from the existing soil moisture time series. Our procedure thus consisted of soil moisture time series calculation, soil moisture anomaly calculation, creation of time series and anomaly maps and the comparison of anomalies with meteorological data on three continents for the time period of outstanding El Nino years. The soil moisture data of TU Wien is available via the internet free of charge.
|Title:||El Niño southern oscillation influences represented in ERS scatterometer-derived soil moisture data|
|Journal or Publication Title:||Applied Geography|
|In Open Access:||No|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 463-477|
|Keywords:||El NiÃ±o; ENSO; Soil moisture; Scatterometer; ERS; Remote sensing; Time series|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||other|
|HGF - Program Themes:||other|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L - no assignement|
|DLR - Research theme (Project):||L -- no assignement|
|Institutes and Institutions:||German Remote Sensing Data Center > Environment and Security|
|Deposited By:||Dr. Claudia Künzer|
|Deposited On:||02 Nov 2009 16:24|
|Last Modified:||23 Aug 2013 03:03|
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