grace groundwater data

(a) Spatial distribution of the correlation coefficient; panels (b)—(e) represent the comparisons of ET and GWSA for the grid in (a). The soil moisture anomalies and canopy water storage anomalies have been calculated using NOAH, MOSAIC, CLM, and VIC land surface models for premonsoon and postmonsoon season.To understand the regional impact of global climate change, the research approaches to downscale remotely sensed data. The declining trend of postmonsoon water levels is observed in 1,93,567 kmAfter training, the fitting and error histogram have been plotted during validation and testing with GRACE‐GLDAS data as input and observed groundwater data as a target. Greenland's Steenstrup Glacier, with the midmorning sun glinting off the Denmark Strait in the background. GRACE data itself has north-south band noise, ... C.K. 2000) to estimate soil moisture and groundwater conditions (Zaitchik et al. Over land, red colors indicate below-average terrestrial water amounts, while blue colors show above-average water amounts (including ice, snow, soil moisture and groundwater. Scientists at NASA’s Goddard Space Flight Center generate groundwater and soil moisture drought indicators each week. The scarcity of groundwater storage change data at the global scale hinders our ability to monitor groundwater resources effectively. Related to Geologic TimeGeomagnetism

Due to coarse spatial resolution, the application of Gravity Recovery and Climate Experiment (GRACE) data in local groundwater resource management has been limited. The correlation coefficients vary from 0.63 to 0.78, in 10 of the 13 Beijing Plain administrative regions. The maximum positive water storage anomaly is found in the postmonsoon season of 2006 in basalt type 1, and maximum negative water storage anomaly was observed in premonsoon, 2003 in basalt type 4. Basaltic aquifer system and wells locations within the study area.The observed groundwater levels (GWL) were obtained from the CGWB, India for various seasons (premonsoon and postmonsoon) during the years 2002 to 2016. So there is a finite amount of water for use presently, and excessive withdrawal becomes unsustainable.Unfortunately, groundwater use is difficult to monitor globally. That means that water last replenished the aquifer a very long time ago: in the range of 10,000-20,000 years, when our planet was in its last glacial period. The GWSA are downscaled to the spatial resolution of 0.25° using ET data from NoahV2 model, GLEAM and MOD16 in the Beijing Plain. Clark, A. Cazenave, J.M.
Because of the heterogeneity of media, specific yield is usually not uniform and is difficult to calculate accurately over a large area (Panda & Wahr, To validate the efficiency of the downscaled yearly GWS data, comparisons between the observed water level and downscaled GWS storage anomalies for the 13 administrative districts of the Beijing Plain are provided. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. The MOD16 ET data sets are estimated according to the Penman‐Monteith equation (Monteith, The goal of the National Aeronautics and Space Administration GLDAS is to ingest satellite and ground‐based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes (Rodell et al., The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root zone soil moisture from satellite data.

Five types of basaltic aquifer systems with varying groundwater storage capacities, based on hydrologic characteristics, have been identified within the study area. To use GRACE to constrain a subset of the vertical mass budget, e.g. The results can be divided into three cases: (1) the case of |The NCP is located in the eastern part of China, covering a total area of approximately 140,000 kmThe Beijing Plain, located in the northwest of NCP, covers an area of approximately 6,400 kmThe ET products from GLEAM, NoahV2 and MOD16 have the higher spatial resolution than GRACE data, with the resolution of 0.25°, 0.25°, and 0.01°, respectively. In this study, GWS anomalies are downscaled from 110 km to 2 km in the North China Plain, capturing subgrid heterogeneity in groundwater storage changes.

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