{ "type":"Feature", "geometry":{ "type":"Polygon", "coordinates":[ [ [ -122.92195, 41.12094 ], [ -122.21882, 41.10852 ], [ -122.08973, 40.99668 ], [ -121.8755, 40.73288 ], [ -122.09939, 40.40552 ], [ -122.09939, 40.40552 ], [ -122.1522, 40.15693 ], [ -122.34583, 40.16218 ], [ -122.89515, 40.73071 ], [ -122.92195, 41.12094 ] ] ] }, "properties":{ "_id":6890, "locationParentId":null, "locationName":"California Central Valley Project Modeling Domain: Sacramento-Trinity River Basin", "locationDescription":"California Central Valley Project modeling domain consisting of Trinity River System down to Lewiston Dam, the diversion to the Sacramento Basin, as well as Shasta Dam and Sacramento River. ", "locationStatusId":1, "elevation":null, "createDate":"2024-01-05T19:28:53+00:00", "updateDate":"2025-10-01T18:12:16+00:00", "horizontalDatum":{ "_id":"WGS84", "definition":"World Geodetic System of 1984" }, "timezone":null, "verticalDatum":null, "locationTags":[ { "id":204, "tag":"Trinity River", "createDate":"2020-02-12T08:47:01+00:00" }, { "id":211, "tag":"Sacramento River", "createDate":"2020-02-12T08:47:01+00:00" }, { "id":491, "tag":"Lake Trinity", "createDate":"2024-01-05T19:25:40+00:00" }, { "id":493, "tag":"Shasta Lake", "createDate":"2024-01-05T19:28:10+00:00" } ], "relatedLocationIds":null, "projectNames":[ "Central Valley Project" ], "locationTypeName":"Study Area", "timezoneName":null, "timezoneOffset":null, "locationRegionNames":[ "Mid-Pacific" ], "locationUnifiedRegionNames":[ "California-Great Basin" ], "catalogItems":[ { "id":"/rise/api/catalog-record/8140", "attributes":{ "_id":8140, "recordTitle":"Data and Report from S&T Project 22050: Evaluating Water Temperature Modeling and Prediction in the Sacramento River Basin", "recordDescription":"This record contains the final report, code and data for the S&T Project 22050: Evaluating Water Temperature Modeling and Prediction in the Sacramento River Basin. This project focused on assessing and identifying avenues to improve Reclamation\u2019s current use of seasonal predictions of input meteorology in temperature modeling, along with several related investigations. To facilitate this effort, the current spreadsheet-based Local Three-Month Temperature Outlook (L3MTO) method was duplicated in a set of Python scripts. These scripts were used to explore and evaluate variations of the approach, as well as to assess its predictive skill and potential performance limits. In particular, the work showed that the temperature model input forecasts had mean monthly skill in the first lead month of the forecast. The work also indicated potential for improvement through further development of the input climate forecasts and using alternatives to the climate-conditioned deterministic analog selection method.", "catalogStatusId":1, "metadataFilePath":null, "metadataStandard":{ "_id":"ISO", "definition":"International Standards Organization (ISO) 19115-1:2014 metadata content standard, and ISO 19139:2007 metadata implementation standard", "createDate":"2018-11-20T13:25:52+00:00" }, "createDate":"2025-09-08T23:32:38+00:00", "updateDate":"2025-10-01T18:12:28+00:00", "programNames":[ "Science and Technology Program" ], "generationEffort":"S&T Project 22050: Evaluating Water Temperature Modeling and Prediction in the Sacramento River Basin", "generationEffortId":468, "subTheme":{ "_id":2, "subTheme":"Water Operations Modeling", "definition":"Relating to the computer-based modeling of water operations, for either short-term operations or mid- to long-term planning", "createDate":"2018-11-14T14:34:29+00:00" }, "tags":[ "Forecasting", "Temperature Forecasting" ], "themes":[ "Environmental" ] }, "type":"CatalogRecord", "relationships":{ "location":{ "data":[ { "id":"/rise/api/location/6890", "type":"Location" } ] }, "catalogItems":{ "data":[ { "id":"/rise/api/catalog-item/133817", "type":"CatalogItem" }, { "id":"/rise/api/catalog-item/133818", "type":"CatalogItem" } ] } } }, { "id":"/rise/api/catalog-item/133817", "attributes":{ "_id":133817, "itemTitle":"S&T Project 22050 Final Report: Evaluating Water Temperature Modeling and Prediction in the Sacramento River Basin", "itemDescription":"This project focused on assessing and identifying avenues to improve Reclamation\u2019s current temperature modeling use of seasonal predictions of input meteorology, as well as on several related investigations. The effort developed a new overview for Reclamation and stakeholders of the methods and performance of the meteorologic forecasts currently being applied for water temperature simulation. To facilitate this effort, the current spreadsheet-based Local Three-Month Temperature Outlook (L3MTO) method was duplicated in a set of Python scripts, which were transitioned to Reclamation for potential use in operations at Shasta Lake and other California facilities. These scripts make hindcast analyses feasible and provide flexibility in examining alternative inputs and ease in conducting supporting analyses. The scripts were used to test or demonstrate several variations on the approach, including using Sub-seasonal to Seasonal (S2S) forecasts from other sources, and to assess the skill of the approach and its likely upper limits of performance. In particular, the work showed that the temperature model input forecasts had mean monthly skill in the first lead month of the forecast and indicated potential for improvement through further development of the input climate forecasts as well as using alternatives to the climate-conditioned deterministic analog selection method. The project also implemented a California-wide daily gridded meteorological analysis using a tool called the Gridded Meteorological Ensemble Tool (GMET), and a demonstration of a linked Structure for Unifying Multiple Modeling Alternatives-mizuRoute-River Basin Model (SUMMA-mizuRoute-RBM) model for the Shasta and Trinity Lake drainage areas, demonstrating the feasibility of a distributed strategy for stream temperature simulation and potentially prediction.", "itemRecordStatusId":1, "isModeled":false, "hasProfile":false, "disclaimer":"The findings and conclusions of this work are those of the author(s) and do not necessarily represent the views of the Bureau of Reclamation.", "sourceCode":null, "locationSourceCode":null, "externalDataUrl":null, "parameterSourceCode":null, "modelNameSourceCode":null, "temporalStartDate":null, "temporalEndDate":null, "spatialShortDescription":null, "publicationAuthor":"Andy Wood, Randi Field", "publicationEditor":null, "publicationPublisher":"Bureau of Reclamation", "publicationPublisherLocation":"Denver, CO, USA", "publicationFirstPublicationDate":"2025-09-29T12:00:00+00:00", "publicationPeriodicalName":null, "publicationSerialNumber":null, "publicationDoi":null, "publicationVolume":null, "publicationIssue":null, "publicationSection":null, "publicationStartPage":null, "publicationEndPage":null, "createDate":"2025-09-19T22:44:30+00:00", "itemType":{ "_id":"RPRT", "definition":"Report", "createDate":"2018-11-28T14:19:59+00:00" }, "matrix":{ "_id":18, "matrix":"N/A", "definition":"Matrix is not applicable to this item", "createDate":"2020-03-26T13:58:55+00:00" }, "spatialGeometry":null, "spatialResolution":null, "spatialTransformation":null, "spatialOpenDataURL":null, "metadataFilePath":null, "binaryFilePath":"https://data.usbr.gov/rise/content-rise-public/rise/catalog-item/binary/ST_2025_SacMetTemp.FINAL_20250929.pdf", "updateFrequency":{ "_id":14, "updatefrequency":"not planned", "definition":"there are no plans to update the data", "createDate":"2018-11-14T15:17:58+00:00" }, "updateDate":"2025-10-01T18:12:44+00:00", "verticalDatum":null, "dataStructure":"Uploaded file(s)", "itemStructureId":3, "parameterGroup":null, "parameterId":null, "parameterName":null, "parameterUnit":null, "parameterTimestep":null, "parameterTransformation":null }, "type":"CatalogItem", "relationships":{ "catalogRecord":{ "data":[ { "id":"/rise/api/catalog-record/8140", "type":"CatalogRecord" } ] }, "parameter":{ "data":[] } } }, { "id":"/rise/api/catalog-item/133818", "attributes":{ "_id":133818, "itemTitle":"S&T Project 22050 Code and Data: Climate Conditioned Analog Local Meteorology (CCALM)", "itemDescription":"This file upload holds notebooks, scripts and datasets related to seasonal forecasting for the Sacramento River Basin as part of a project to improve the meteorological inputs for water temperature predictions. Inputs include historical and future climate forecast prediction of monthly terciles of above normal, below normal, and near normal temperature. Scripts automate the gathering and processing of input data from the NOAA Climate Prediction Center to generate a complete hourly time-series input for modeling purposes. Processed data series are generated based on user selected historical percentile exceedances which maps monthly historical analogs to create a continuous year of meteorological data. ", "itemRecordStatusId":1, "isModeled":false, "hasProfile":false, "disclaimer":"The findings and conclusions of this work are those of the author(s) and do not necessarily represent the views of the Bureau of Reclamation.", "sourceCode":null, "locationSourceCode":null, "externalDataUrl":null, "parameterSourceCode":null, "modelNameSourceCode":null, "temporalStartDate":null, "temporalEndDate":null, "spatialShortDescription":null, "publicationAuthor":"Andy Wood, Randi Field", "publicationEditor":null, "publicationPublisher":"Bureau of Reclamation", "publicationPublisherLocation":"Denver, CO, USA", "publicationFirstPublicationDate":"2025-09-29T12:00:00+00:00", "publicationPeriodicalName":null, "publicationSerialNumber":null, "publicationDoi":null, "publicationVolume":null, "publicationIssue":null, "publicationSection":null, "publicationStartPage":null, "publicationEndPage":null, "createDate":"2025-09-19T22:51:23+00:00", "itemType":{ "_id":"DATA", "definition":"Data file", "createDate":"2018-11-28T14:19:59+00:00" }, "matrix":{ "_id":18, "matrix":"N/A", "definition":"Matrix is not applicable to this item", "createDate":"2020-03-26T13:58:55+00:00" }, "spatialGeometry":null, "spatialResolution":null, "spatialTransformation":null, "spatialOpenDataURL":null, "metadataFilePath":null, "binaryFilePath":"https://data.usbr.gov/rise/content-rise-public/rise/catalog-item/binary/S&T%20Project%2022050%20Project%20Code%20and%20Data_0.zip", "updateFrequency":{ "_id":14, "updatefrequency":"not planned", "definition":"there are no plans to update the data", "createDate":"2018-11-14T15:17:58+00:00" }, "updateDate":"2025-10-01T18:12:37+00:00", "verticalDatum":null, "dataStructure":"Uploaded file(s)", "itemStructureId":3, "parameterGroup":null, "parameterId":null, "parameterName":null, "parameterUnit":null, "parameterTimestep":null, "parameterTransformation":null }, "type":"CatalogItem", "relationships":{ "catalogRecord":{ "data":[ { "id":"/rise/api/catalog-record/8140", "type":"CatalogRecord" } ] }, "parameter":{ "data":[] } } } ], "name":"California Central Valley Project Modeling Domain: Sacramento-Trinity River Basin" }, "id":6890, "links":[ { "type":"application/json", "rel":"root", "title":"The landing page of this server as JSON", "href":"https://api.wwdh.internetofwater.app?f=json" }, { "type":"text/html", "rel":"root", "title":"The landing page of this server as HTML", "href":"https://api.wwdh.internetofwater.app?f=html" }, { "rel":"self", "type":"application/geo+json", "title":"This document as JSON", "href":"https://api.wwdh.internetofwater.app/collections/rise-edr/items/6890?f=json" }, { "rel":"alternate", "type":"application/ld+json", "title":"This document as RDF (JSON-LD)", "href":"https://api.wwdh.internetofwater.app/collections/rise-edr/items/6890?f=jsonld" }, { "rel":"alternate", "type":"text/html", "title":"This document as HTML", "href":"https://api.wwdh.internetofwater.app/collections/rise-edr/items/6890?f=html" }, { "rel":"collection", "type":"application/json", "title":"USBR Reclamation Information Sharing Environment (RISE)", "href":"https://api.wwdh.internetofwater.app/collections/rise-edr" } ] }