Item talk:Q261055

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "On the role of climate in monthly baseflow changes across the continental United States",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70241893",
       "url": "https://pubs.usgs.gov/publication/70241893"
     },
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       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70241893
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1061/(ASCE)HE.1943-5584.0002170",
       "url": "https://doi.org/10.1061/(ASCE)HE.1943-5584.0002170"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Journal of Hydrologic Engineering",
     "volumeNumber": "27",
     "issueNumber": "5"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Journal of Hydrologic Engineering"
     }
   ],
   "datePublished": "2022",
   "dateModified": "2023-03-30",
   "abstract": "Baseflow is the portion of streamflow that comes from groundwater and subsurface sources. Although baseflow is essential for sustaining streams during low flow and drought periods, we have little information about how and why it has changed over large regions of the continental United States. The objective of this study was to evaluate how changes in the climate system have affected observed monthly baseflow records at 3,283 USGS gauges over the last 30\u00a0years (1989\u20132019). We developed a statistical modeling framework to determine the relationship between monthly baseflow and monthly climate predictors (i.e.,\u00a0precipitation, temperature, and antecedent wetness). Overall, we found that baseflow trends and the factors influencing them vary by region and month. In the US Northeast, increases were detected earlier in the year (February and March) and in the summer (May and June), and were likely due to increasing precipitation, warmer temperature, and subsequent changes in snowmelt. Increasing baseflow in the US Pacific Northwest and Midwest were associated with increases in precipitation and antecedent wetness throughout the year. Decreasing trends were located in the US Southeast and Southwest. Baseflow trends in the US Southeast were only detected in March, possibly as a result of decreased precipitation during the spring. On the other hand, decreases in baseflow in the Central Southwestern United States occurred throughout the year. These trends were associated with a lack of precipitation and increases in temperature. Finally, we examined the relationship between monthly baseflow trends and changes in total water storage using monthly Gravity Recovery and Climate Experiment mascon products from the Jet Propulsion Laboratory. In this study, trends in total water storage were strongly associated with baseflow trends across the United States. The spatial and temporal variability in baseflow response to climate reported here can aid water managers in adapting to future climate change.",
   "description": "04022006-1; 13 p.",
   "publisher": {
     "@type": "Organization",
     "name": "ASCE Publications"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Ayers, Jessica R.",
       "givenName": "Jessica R.",
       "familyName": "Ayers",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "University of Iowa"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Villarini, Gabriele",
       "givenName": "Gabriele",
       "familyName": "Villarini"
     },
     {
       "@type": "Person",
       "name": "Schilling, Keith",
       "givenName": "Keith",
       "familyName": "Schilling",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Iowa Dept. of Natural Resources"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Jones, Christopher",
       "givenName": "Christopher",
       "familyName": "Jones",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "University of Iowa"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Brookfield, Andrea E.",
       "givenName": "Andrea E.",
       "familyName": "Brookfield"
     },
     {
       "@type": "Person",
       "name": "Zipper, Samuel",
       "givenName": "Samuel",
       "familyName": "Zipper",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-8735-5757",
         "url": "https://orcid.org/0000-0002-8735-5757"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Farmer, William H.",
       "givenName": "William H.",
       "familyName": "Farmer",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-2865-2196",
         "url": "https://orcid.org/0000-0002-2865-2196"
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "WMA - Integrated Modeling and Prediction Division",
           "url": "https://www.usgs.gov/mission-areas/water-resources"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "WMA - Integrated Modeling and Prediction Division",
       "url": "https://www.usgs.gov/mission-areas/water-resources"
     }
   ],
   "spatialCoverage": [
     {
       "@type": "Place",
       "additionalType": "country",
       "name": "United States",
       "url": "https://geonames.org/4074035"
     },
     {
       "@type": "Place",
       "additionalType": "unknown",
       "name": "continental  United States"
     }
   ]
 }

}