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    "results": [
        {
            "id": 5442,
            "url": "https://svs.gsfc.nasa.gov/5442/",
            "result_type": "Visualization",
            "release_date": "2025-01-29T12:00:00-05:00",
            "title": "Water Cycle Nonstationarity",
            "description": "The global water cycle is undergoing unprecedented shifts from climate change, intensified by human water and land management practices. These changes are evident in phenomena such as depleted groundwater, earlier snowmelt, and erratic fluctuations in floods and drought occurrences. To better understand these changes in terrestrial water storage, scientists have integrated multiple remote sensing datasets with NASA’s advanced land surface model through data assimilation, creating a global water storage reanalysis dataset. The results capture the complex patterns of global water cycle shifts in response to both climate and human activities. Using this new integrated dataset, scientists use statistical methods (time series analysis) to identify trends (TR), seasonal shifts (SS), and changes in extreme events (EFR), ultimately developing an index, the “Nonstationarity Index,” (NSI) that quantifies the degree of nonstationarity within the global water system. || ",
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