ferc cooperators training

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FERC COOPERATORS TRAINING. Sacramento Calif. July 17-18, 2012. Record Computation: Displays of: Primary computations Data corrections Shifts Daily Value Tables Hydrographs. FERC Lake/Reservoir reviews:. Documentation needed for review: - PowerPoint PPT Presentation

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U.S. Department of the InteriorU.S. Geological Survey

FERC COOPERATORSTRAINING

Sacramento Calif. July 17-18, 2012

Record Computation: Displays of:

Primary computations Data corrections Shifts Daily Value Tables Hydrographs

FERC Lake/Reservoir reviews:

Documentation needed for review:

Same as in the list used for streamflow records (“Materials to be included for Review”…),

but no measurement info needed.

Primaries:

Should indicate rating, or ratings, used.

Data corrections should be displayed on primaries or available in separate table with dates and times.

Rating number is noted in station analysis, does it agree with computations?

Log of visits:

Include readings of all gages: staffs/WWG/tape index/datalogger. (IS vs OS with date/time)

Note valve changes, datum/recorder resets, data logged, other pertinent info

Capacity tables:

Computer ratings should be checked with capacity table. Does USGS have copies or are they available? Do we think it needs update?

U.S. Department of the InteriorU.S. Geological Survey

Hydrographs, Estimating Streamflow

MISTE (MIssing STreamflow Estimation) is a tool for estimating missing daily discharge values for a (study) site using daily values that have been determined for other (index) sites. It is a program in the ADAPS suite of programs that processes primary hydrologic data. It is started from within the program HYDRA at the time daily values are edited. The estimated values that are computed by MISTE are returned to HYDRA as a reference curve by which the study-site daily values may be edited. Although MISTE is designed for streamflow data, any mean daily-value data may be used in a session as either a study site or an index site.

U.S. Department of the InteriorU.S. Geological Survey

Artificial Controls

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