Directions for daily time series generation page

Purpose: Creates daily mean time series or create a file of dates from a dataset matching a specific criteria. A set of daily index timeseries, US station data values and several gridded datasets: NCEP/NCAR Reanalysis, the 20th Century Reanalysis (V2C,V3) and the ERA5 are available to extract values from.

  1. Select one of : Index Timeseries, US station data, or a gridded dataset.
  2. For gridded datasets, Select a variable.
  3. For gridded datasets, Select a level for pressure level data.
  4. For US stations, obtain station number from "Station List" next to entry box.
  5. For gridded datasets, chose a latitude and longitude. Use -90 to 90 and 0 to 360 for longitude. The closest grid to your lat/lon values will be chosen.
  6. Chose year range. This is MANDATORY.
  7. Choose "get timeseries" or "get subset of dates".
  8. For get timeseries, you will get a 365(366) values and dates in a list for each year.
  9. For subset, you will also need to choose a number of highest or lowest days or a value to test against (values include value, anomaly, standardized anomaly or percentile). Anomalies and percentiles are obtained based on the set of years you choose. You can choose "higher or lower than value compared against. For example, you can choose the top 5 temperatures in Boulder, CO (station 351) for 1950-1999 and get:
    1953,7,24, 101.00000000
    1954,7,13, 102.00000000
    1954,7,12, 103.00000000
    1954,7,11, 104.00000000
    1954,6,23, 104.00000000
    Or, you can get all the Boulder dates for values >=99 by selecting value and 99. Note that ties are not handled so you may not get all possible days returned though all of the returned days will be correct.
  10. Get values. Daily values output can be used on the daily composite page ( for compositing.)

Comments: NCEP data is updated ~2 days behind current day.

To get data:

See PSL's gridded climate research data access.