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  • File content; File format; File name; File size; Uniform resource locator/link to file  (1)
  • Remote sensing  (1)
Document type
Years
  • 1
    Publication Date: 2023-01-13
    Description: This dataset provides decadal changes in total terrestrial water storage (TWS) across global endorheic basins, as observed by the Gravity Recovery and Climate Experiment (GRACE) satellites from April 2002 to March 2016. GRACE observations applied here are monthly equivalent water thickness (EWT) anomalies in the JPL 3-degree equal-area mason solution (JPL-RL05M version 2). Endorheic basin extents are acquired from the 15-second HydroSHEDS drainage basin dataset, with regional supplement of the Global Drainage Basin Database (GDBD). The global endorheic basins cover a total area of 33.7 million square kilometers, ranging from 52.8º S to 62.0º N and from 122.8º W to 157.6º E. TWS changes are calculated at two enumeration scales: 173 endorheic units and 10 endorheic zones (including Western North America, Dry Andes and Patagonia, Sahara and Arabia, Great Rift Valley and Southern Africa, Australia, Central Eurasia, and four secondary zones in Central Eurasia: the Caspian Sea Basin, the Aral Sea Basin, the Inner Tibetan Plateau, and Other Central Eurasia). At the unit scale, we provide 1) the trend of deseasonalized TWS anomalies from April 2002 to March 2016 and, 2) the trend uncertain (one standard deviation) propagated from the inherent errors in the original mascon data and the residuals of the best-fit linear trend fitting. At the zonal scale, we provide detailed monthly time series of 1) TWS anomalies (both original values and deseasonalized values) and 2) TWS uncertainties propagated from the inherent mason errors and rescaling uncertainties due to signal leakage in fringe mascons. Please see the source paper (Wang et al. 2018) for detailed data references, collections and processing.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-26
    Description: Author Posting. © American Meteorological Society, 2015. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 28 (2015): 8289–8318, doi:10.1175/JCLI-D-14-00555.1.
    Description: This study quantifies mean annual and monthly fluxes of Earth’s water cycle over continents and ocean basins during the first decade of the millennium. To the extent possible, the flux estimates are based on satellite measurements first and data-integrating models second. A careful accounting of uncertainty in the estimates is included. It is applied within a routine that enforces multiple water and energy budget constraints simultaneously in a variational framework in order to produce objectively determined optimized flux estimates. In the majority of cases, the observed annual surface and atmospheric water budgets over the continents and oceans close with much less than 10% residual. Observed residuals and optimized uncertainty estimates are considerably larger for monthly surface and atmospheric water budget closure, often nearing or exceeding 20% in North America, Eurasia, Australia and neighboring islands, and the Arctic and South Atlantic Oceans. The residuals in South America and Africa tend to be smaller, possibly because cold land processes are negligible. Fluxes were poorly observed over the Arctic Ocean, certain seas, Antarctica, and the Australasian and Indonesian islands, leading to reliance on atmospheric analysis estimates. Many of the satellite systems that contributed data have been or will soon be lost or replaced. Models that integrate ground-based and remote observations will be critical for ameliorating gaps and discontinuities in the data records caused by these transitions. Continued development of such models is essential for maximizing the value of the observations. Next-generation observing systems are the best hope for significantly improving global water budget accounting.
    Description: This research was funded by multiple grants from NASA’s Energy and Water Cycle Study (NEWS) program.
    Description: 2016-05-01
    Keywords: Physical Meteorology and Climatology ; Water budget ; Observational techniques and algorithms ; Remote sensing ; Mathematical and statistical techniques ; Numerical analysis/modeling
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Location Call Number Limitation Availability
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