2017
DOI: 10.7163/gpol.0078
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Soil water storage in Poland over the years 2000-2015 in response to precipitation variability as retrieved from GLDAS Noah simulations

Abstract: This study assesses the soil water storage in Poland over the years 2000-2015. Soil water storage (SWS) data were acquired from the GLDAS Noah model simulations. The specific objectives were to provide a quantitative assessment of the SWS in the soil layer of 0-50 cm depth to detect extreme stages of SWS, and to provide an insight into the effects of precipitation deficit or surplus on the stage of SWS. Extremely low SWS was

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Cited by 8 publications
(7 citation statements)
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“…Therefore, the spatial difference in ET between the different parts of the study area tends to increase over time, the variability in the monthly ET has become more obvious, and the variability in ET in time and space has become more serious. Moreover, the research data analysed in this study have been proven to exhibit a high applicability to other parts of the world 5,28,29 . Relevant research methods have also proven their applicability in studying long-term natural events, which have been applied in other parts worldwide 58,59 .…”
Section: Resultsmentioning
confidence: 93%
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“…Therefore, the spatial difference in ET between the different parts of the study area tends to increase over time, the variability in the monthly ET has become more obvious, and the variability in ET in time and space has become more serious. Moreover, the research data analysed in this study have been proven to exhibit a high applicability to other parts of the world 5,28,29 . Relevant research methods have also proven their applicability in studying long-term natural events, which have been applied in other parts worldwide 58,59 .…”
Section: Resultsmentioning
confidence: 93%
“…The meteorological driving data used in the GLDAS come from multisource observations, reanalysis data and atmospheric assimilation products, which attain a high applicability in regional research. Jiang et al 21 and Wang Wen et al 22 confirmed the applicability of the GLDAS in China, and the data have been widely applied in the study of climate and water resources in China [23][24][25][26][27] , and in other parts of the world 5,28,29 . In this paper, we adopt the v2.0 and v2.1 ET data sets combined with the GLDAS and Noah model to evaluate the spatial-temporal variation in ET in China.…”
mentioning
confidence: 99%
“…In Poland, similar to Germany (Samaniego et al 2013), the long-term mean and standard deviation of the normalized SM a Numbers in parentheses refer to BBCH ("Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie") scale of phenological stages (see Meier et al 2009) indicate a clear seasonality, with wet and quite stable conditions in winter and drier but highly variable conditions in summer (Somorowska 2017). Due to this strong seasonality, it was decided that thresholds defining the occurrence of SM deficit or excess conditions should be time dependent, rather than constant.…”
Section: Cumulative Soil Moisture Deficit and Excess Indicatorsmentioning
confidence: 99%
“…In contrast, the agreement is rather low for maize in 2006 and 1994 as well as for potato in 1994. However, as for 2006, the comparison of CSMD for winter wheat with the map of mean June soil water storage (SWS) derived from the Global Land Data Assimilation System (GLDAS) provides good results, and the same holds true for the comparison of CSMD for potato and maize with July/August GLDAS SWS (Somorowska 2017).…”
Section: Simulation Of Historical Soil Moisture Anomaliesmentioning
confidence: 99%
“…However, Arnolds did not take the gradual changes occurring in soil water regimes into consideration. According to recent studies on soil water content changes, in the last few decades we have been dealing with a gradual decrease of soil water content in Poland [ 91 – 93 ]. Respondents, too, listed it as one of the main reasons for the decrease in fungal abundance in Mazovian forests (Fig.…”
Section: Discussionmentioning
confidence: 99%