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DOI10.5194/hess-22-4061-2018
Understanding terrestrial water storage variations in northern latitudes across scales
Trautmann T.; Koirala S.; Carvalhais N.; Eicker A.; Fink M.; Niemann C.; Jung M.
发表日期2018
ISSN1027-5606
起始页码4061
结束页码4082
卷号22期号:7
英文摘要The GRACE satellites provide signals of total terrestrial water storage (TWS) variations over large spatial domains at seasonal to inter-annual timescales. While the GRACE data have been extensively and successfully used to assess spatio-temporal changes in TWS, little effort has been made to quantify the relative contributions of snowpacks, soil moisture, and other components to the integrated TWS signal across northern latitudes, which is essential to gain a better insight into the underlying hydrological processes. Therefore, this study aims to assess which storage component dominates the spatio-temporal patterns of TWS variations in the humid regions of northern mid- to high latitudes. To do so, we constrained a rather parsimonious hydrological model with multiple state-of-the-art Earth observation products including GRACE TWS anomalies, estimates of snow water equivalent, evapotranspiration fluxes, and gridded runoff estimates. The optimized model demonstrates good agreement with observed hydrological spatio-temporal patterns and was used to assess the relative contributions of solid (snowpack) versus liquid (soil moisture, retained water) storage components to total TWS variations. In particular, we analysed whether the same storage component dominates TWS variations at seasonal and inter-annual temporal scales, and whether the dominating component is consistent across small to large spatial scales. Consistent with previous studies, we show that snow dynamics control seasonal TWS variations across all spatial scales in the northern mid- to high latitudes. In contrast, we find that inter-annual variations of TWS are dominated by liquid water storages at all spatial scales. The relative contribution of snow to inter-annual TWS variations, though, increases when the spatial domain over which the storages are averaged becomes larger. This is due to a stronger spatial coherence of snow dynamics that are mainly driven by temperature, as opposed to spatially more heterogeneous liquid water anomalies, that cancel out when averaged over a larger spatial domain. The findings first highlight the effectiveness of our model-data fusion approach that jointly interprets multiple Earth observation data streams with a simple model. Secondly, they reveal that the determinants of TWS variations in snow-affected northern latitudes are scale-dependent. In particular, they seem to be not merely driven by snow variability, but rather are determined by liquid water storages on inter-annual timescales. We conclude that inferred driving mechanisms of TWS cannot simply be transferred from one scale to another, which is of particular relevance for understanding the short- and long-term variability of water resources. © 2018 Author(s) 2018.
语种英语
scopus关键词Data fusion; Digital storage; Geodetic satellites; Liquids; Observatories; Snow; Soil moisture; Water resources; Water supply; Earth observation data; Earth observation products; Hydrological modeling; Long-term variability; Snow water equivalent; Spatio-temporal changes; Spatiotemporal patterns; Terrestrial water storage; Soil surveys; evapotranspiration; GRACE; hydrological modeling; optimization; runoff; satellite data; snowpack; soil moisture; spatiotemporal analysis; water content; water storage
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159957
作者单位Trautmann, T., Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Jena, 07745, Germany, International Max Planck Research School for Global Biogeochemical Cycles, Jena, 07745, Germany; Koirala, S., Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Jena, 07745, Germany; Carvalhais, N., Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Jena, 07745, Germany, CENSE, Departamento de Ciências e Engenharia Do Ambiente, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, 2829-516, Portugal; Eicker, A., HafenCity University, Hamburg, 20457, Germany; Fink, M., Department of Geography, Friedrich-Schiller University, Jena, 07743, Germany; Niemann, C., Department of Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Jena, 07745, Germany, Department of Geography, Friedrich-Schiller University, Jena, 07743, Germany; Jung, M., Department of Biogeochemical Integration, Max-Planck-I...
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Trautmann T.,Koirala S.,Carvalhais N.,et al. Understanding terrestrial water storage variations in northern latitudes across scales[J],2018,22(7).
APA Trautmann T..,Koirala S..,Carvalhais N..,Eicker A..,Fink M..,...&Jung M..(2018).Understanding terrestrial water storage variations in northern latitudes across scales.Hydrology and Earth System Sciences,22(7).
MLA Trautmann T.,et al."Understanding terrestrial water storage variations in northern latitudes across scales".Hydrology and Earth System Sciences 22.7(2018).
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