To download this data for use in a spreadsheet, such as Microsoft Excel, you must save this table as a text file using File->Save As... in your browser. You can then import that text file into your spreadsheet program. For mean daily tables, data values are for the dates listed starting at midnight PST. A key to quality codes for this data set appears at the end of this file. 17G060--Tarboo Cr. nr mouth DATE Discharge (cfs) QUALITY ---------- --------------- ------- 10/01/2016 3.3 2 10/02/2016 4.3 2 10/03/2016 3.2 2 10/04/2016 3.1 2 10/05/2016 3.6 2 10/06/2016 3.5 2 10/07/2016 6.7 2 10/08/2016 5.6 2 10/09/2016 6.7 2 10/10/2016 4.2 2 10/11/2016 3.5 2 10/12/2016 3.3 2 10/13/2016 6.8 2 10/14/2016 24.9 2 10/15/2016 25.3 2 10/16/2016 27.7 2 10/17/2016 14.0 2 10/18/2016 8.8 2 10/19/2016 7.1 2 10/20/2016 10.1 2 10/21/2016 10.1 2 10/22/2016 7.6 2 10/23/2016 8.0 2 10/24/2016 7.1 2 10/25/2016 8.7 3 10/26/2016 20.9 2 10/27/2016 18.4 2 10/28/2016 11.7 2 10/29/2016 9.2 2 10/30/2016 8.3 2 10/31/2016 9.7 2 11/01/2016 11.6 2 11/02/2016 10.5 2 11/03/2016 11.2 2 11/04/2016 8.7 2 11/05/2016 17.0 2 11/06/2016 13.6 2 11/07/2016 9.9 2 11/08/2016 8.4 2 11/09/2016 7.4 2 11/10/2016 6.9 2 11/11/2016 6.7 2 11/12/2016 10.4 2 11/13/2016 9.0 2 11/14/2016 9.4 2 11/15/2016 14.9 2 11/16/2016 18.7 2 11/17/2016 12.9 2 11/18/2016 11.2 2 11/19/2016 13.0 2 11/20/2016 27.9 2 11/21/2016 23.7 2 11/22/2016 32.6 2 11/23/2016 46.2 2 11/24/2016 115 10 11/25/2016 254 11/26/2016 140 10 11/27/2016 97.6 10 11/28/2016 50.7 2 11/29/2016 32.6 2 11/30/2016 29.7 2 12/01/2016 22.2 2 12/02/2016 19.1 2 12/03/2016 17.2 2 12/04/2016 16.1 8 12/05/2016 13.3 8 12/06/2016 11.4 8 12/07/2016 9.7 8 12/08/2016 8.7 8 12/09/2016 9.8 8 12/10/2016 13.6 8 12/11/2016 11.4 8 12/12/2016 9.2 8 12/13/2016 8.3 8 12/14/2016 7.4 161 12/15/2016 7.3 161 12/16/2016 6.2 161 12/17/2016 5.1 161 12/18/2016 5.2 161 12/19/2016 7.4 161 12/20/2016 12.7 8 12/21/2016 7.8 8 12/22/2016 7.5 8 12/23/2016 18.3 8 12/24/2016 14.7 8 12/25/2016 11.4 8 12/26/2016 11.4 8 12/27/2016 16.9 8 12/28/2016 12.0 8 12/29/2016 10.9 8 12/30/2016 13.0 8 12/31/2016 11.5 8 01/01/2017 11.5 8 01/02/2017 10.5 8 01/03/2017 8.2 8 01/04/2017 6.8 161 01/05/2017 5.6 161 01/06/2017 5.4 161 01/07/2017 5.8 161 01/08/2017 11.4 161 01/09/2017 17.1 8 01/10/2017 13.5 8 01/11/2017 10.3 8 01/12/2017 7.8 161 01/13/2017 6.9 161 01/14/2017 6.9 161 01/15/2017 6.4 161 01/16/2017 7.0 161 01/17/2017 12.9 8 01/18/2017 57.9 10 01/19/2017 106 10 01/20/2017 41.7 2 01/21/2017 29.9 2 01/22/2017 28.3 2 01/23/2017 23.7 2 01/24/2017 18.5 3 01/25/2017 15.8 2 01/26/2017 13.9 8 01/27/2017 12.0 8 01/28/2017 10.8 8 01/29/2017 10 8 01/30/2017 9.1 8 01/31/2017 8.3 8 02/01/2017 7.4 161 02/02/2017 6.1 161 02/03/2017 9.0 161 02/04/2017 12.1 8 02/05/2017 9.8 8 02/06/2017 12.7 8 02/07/2017 9.5 8 02/08/2017 10.1 8 02/09/2017 31.9 2 02/10/2017 31.0 2 02/11/2017 24.7 2 02/12/2017 18.5 2 02/13/2017 15.7 8 02/14/2017 14.0 8 02/15/2017 52.7 10 02/16/2017 88.8 10 02/17/2017 37.2 2 02/18/2017 29.9 2 02/19/2017 25.9 2 02/20/2017 23.7 2 02/21/2017 25.4 2 02/22/2017 26.5 2 02/23/2017 24.6 2 02/24/2017 21.7 2 02/25/2017 18.4 2 02/26/2017 18.5 2 02/27/2017 16.9 2 02/28/2017 16.1 2 03/01/2017 14.3 8 03/02/2017 12.8 8 03/03/2017 13.5 8 03/04/2017 20.7 2 03/05/2017 22.2 2 03/06/2017 24.5 2 03/07/2017 20.2 2 03/08/2017 20.8 2 03/09/2017 20.1 2 03/10/2017 23.1 2 03/11/2017 22.6 2 03/12/2017 20.2 2 03/13/2017 18.5 2 03/14/2017 25.9 2 03/15/2017 24.3 2 03/16/2017 21.5 2 03/17/2017 22.8 2 03/18/2017 81.3 2 03/19/2017 59.7 2 03/20/2017 39.6 2 03/21/2017 33.9 2 03/22/2017 30.2 2 03/23/2017 25.8 2 03/24/2017 33.1 2 03/25/2017 25.8 2 03/26/2017 24.2 2 03/27/2017 22.1 2 03/28/2017 20.0 2 03/29/2017 20.0 2 03/30/2017 21.9 2 03/31/2017 18.4 2 04/01/2017 17.2 2 04/02/2017 16.7 2 04/03/2017 16.5 2 04/04/2017 15.3 2 04/05/2017 17.5 2 04/06/2017 16.5 2 04/07/2017 33.1 2 04/08/2017 30.1 2 04/09/2017 23.7 2 04/10/2017 22.6 2 04/11/2017 20.4 2 04/12/2017 41.4 2 04/13/2017 35.4 2 04/14/2017 28.4 2 04/15/2017 25.8 2 04/16/2017 22.8 2 04/17/2017 20.5 2 04/18/2017 19.0 2 04/19/2017 18.9 2 04/20/2017 20.1 2 04/21/2017 27.8 2 04/22/2017 22.3 2 04/23/2017 20.4 2 04/24/2017 17.9 2 04/25/2017 15.7 2 04/26/2017 21.0 2 04/27/2017 27.8 2 04/28/2017 21.5 2 04/29/2017 18.7 2 04/30/2017 17.1 2 05/01/2017 16.3 2 05/02/2017 14.6 2 05/03/2017 13.8 2 05/04/2017 13.2 2 05/05/2017 15.0 2 05/06/2017 13.9 2 05/07/2017 11.6 2 05/08/2017 10.5 2 05/09/2017 9.6 2 05/10/2017 8.7 2 05/11/2017 9.1 2 05/12/2017 9.1 2 05/13/2017 9.1 2 05/14/2017 10.1 2 05/15/2017 12.9 2 05/16/2017 13.8 2 05/17/2017 11.9 2 05/18/2017 9.6 2 05/19/2017 8.1 2 05/20/2017 6.9 2 05/21/2017 6.1 2 05/22/2017 5.5 2 05/23/2017 4.7 2 05/24/2017 4.2 2 05/25/2017 4.2 2 05/26/2017 3.9 2 05/27/2017 3.6 2 05/28/2017 3.3 2 05/29/2017 3.2 2 05/30/2017 3.4 2 05/31/2017 4.1 2 06/01/2017 3.4 2 06/02/2017 3.1 2 06/03/2017 3.0 2 06/04/2017 3.1 2 06/05/2017 2.9 2 06/06/2017 2.7 2 06/07/2017 2.8 2 06/08/2017 3.5 2 06/09/2017 3.4 2 06/10/2017 3.6 2 06/11/2017 3.5 2 06/12/2017 2.9 2 06/13/2017 3.2 2 06/14/2017 3.2 2 06/15/2017 3.6 2 06/16/2017 3.9 2 06/17/2017 3.2 2 06/18/2017 3.3 2 06/19/2017 3.2 2 06/20/2017 3.0 2 06/21/2017 3.0 2 06/22/2017 2.7 2 06/23/2017 2.3 2 06/24/2017 2.2 8 06/25/2017 2.0 8 06/26/2017 2.0 8 06/27/2017 2.2 8 06/28/2017 2.2 2 06/29/2017 2.2 8 06/30/2017 2.0 8 07/01/2017 2.0 8 07/02/2017 2.1 8 07/03/2017 2.2 8 07/04/2017 2.2 8 07/05/2017 1.9 8 07/06/2017 1.8 8 07/07/2017 1.9 8 07/08/2017 1.9 8 07/09/2017 1.8 8 07/10/2017 1.9 8 07/11/2017 2.0 140 07/12/2017 2.0 140 07/13/2017 2.1 140 07/14/2017 2.3 140 07/15/2017 2.1 140 07/16/2017 2.1 140 07/17/2017 2.1 140 07/18/2017 1.9 140 07/19/2017 1.9 140 07/20/2017 1.9 140 07/21/2017 2.2 140 07/22/2017 2.2 140 07/23/2017 2.1 140 07/24/2017 2.0 140 07/25/2017 1.9 140 07/26/2017 1.9 140 07/27/2017 2.0 140 07/28/2017 2.3 140 07/29/2017 2.1 140 07/30/2017 2.1 140 07/31/2017 2.1 140 08/01/2017 1.8 140 08/02/2017 1.7 140 08/03/2017 1.7 140 08/04/2017 1.7 140 08/05/2017 1.8 140 08/06/2017 2.0 140 08/07/2017 2.1 140 08/08/2017 2.3 140 08/09/2017 1.9 140 08/10/2017 1.9 140 08/11/2017 1.8 140 08/12/2017 1.9 140 08/13/2017 2.8 140 08/14/2017 3.0 140 08/15/2017 255 Quality Codes Key: 2 - Good quality provisional data 3 - Good quality provisional data - edited 8 - Below rating 10 - Above rating, but within 2x 140 - Data not yet checked 161 - Below rating, less than 1/2x 254 - Rating table exceeded (data will not be reported) 255 - Incomplete day