Reclamation Information Sharing Environment (RISE)

RISE organizes datasets into Catalog Records and Catalog Items. A Catalog Record is the highest level of data grouping. Catalog Records may contain one or more Items. All Items within a Catalog Record must share the same Location and the data must come from the same Generation Effort. Items can be either Time Series, Geospatial, or Binary. The type of Item determines which type of data can be contained in that Item.

A Location is a specific point, line, or polygon in space. It consists of one or more latitude/longitude coordinates. Locations may be used by one or more Catalog Records. Locations can be related to other locations through the Location Hierarchy. To define the hierarchy, a Location may include identification of its parent Location.

A Time Series Item consists of one or more series of values (‘results”) that are structured in time. The values do not have to occur at regular intervals.

Observed Time Series Items contain results that have been obtained directly (i.e. the results are directly reported by a sensor and then published in RISE) or indirectly (i.e. values reported by a sensor may be used to calculate the observed result) from physical measurements. Observed Time Series Items may have only one result per timestamp. Observed Time Series Items may be processed and reviewed for Quality Assurance and Quality Control before or during publication.

Modeled Time Series Items contain results that have been obtained by a model of a physical process. Modeled Time Series Items may have multiple results per timestamp. The results are distinguished by their Model Run and Model Run Member identifiers. A Model Run represents one use of the model to produce results with a specific set of inputs and initial conditions. The set of inputs and initial conditions may be deterministic (i.e. only one set of inputs and initial conditions) or ensemble (i.e. multiple sets of initial conditions, typically consisting of a range of potential conditions created through statistical analysis). For deterministic Model Runs, the Time Series Item will have one value per timestamp for each Model Run. For ensemble Model Runs, the Time Series Time will have one value per timestamp for each Model Run Member (a.k.a. “Ensemble member”).

Time Series results are described by Parameters. A Parameter is a characteristic of a physical process that has specific units, time step, and calculation method for obtaining the parameter value at each timestep (the “transformation”). The same physical property may be described by the same Parameter as long as it represents data with the specified units, timestep, and transformation, even if the data is collected in different ways. However, if the units, timestep, or transformation differs, a different parameter should be used For example, a parameter for instantaneous daily reservoir elevation could be used for reservoir elevations that are measured in feet at midnight of each day, but a different parameter would be needed for the daily average of the 24 hourly values measured in feet at the start of every hour during the day. Although the end result of both is a single reservoir elevation value for each day, the parameters are different due to the differing methods of obtaining the single daily value.

A Geospatial Item consists of a single geospatial layer. The layer may include one or more features and associated attributes. Geospatial features may or may not be associated with a specific point in time. All features in a layer must have the same geometry type (point, line, or polygon).

Other (Binary) Items may consist of any data that does not fit into the Time Series or Geospatial framework. Binary Items may consist of any file type and there are no limitations or requirements for temporal or spatial organization.