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 ---------- --------------- ------- 10/01/2015 2.1 2 10/02/2015 2.1 2 10/03/2015 2.3 2 10/04/2015 2.1 2 10/05/2015 2.1 2 10/06/2015 2.1 2 10/07/2015 2.5 2 10/08/2015 2.7 2 10/09/2015 2.7 2 10/10/2015 3.8 2 10/11/2015 3.6 2 10/12/2015 2.9 2 10/13/2015 2.7 2 10/14/2015 2.6 2 10/15/2015 2.7 2 10/16/2015 2.7 2 10/17/2015 2.7 2 10/18/2015 2.8 2 10/19/2015 3.0 2 10/20/2015 2.9 2 10/21/2015 2.8 2 10/22/2015 2.8 2 10/23/2015 2.8 2 10/24/2015 3.0 2 10/25/2015 3.4 2 10/26/2015 4.6 2 10/27/2015 3.9 2 10/28/2015 3.5 2 10/29/2015 3.5 2 10/30/2015 3.6 2 10/31/2015 8.2 2 11/01/2015 6.4 2 11/02/2015 4.7 2 11/03/2015 3.3 2 11/04/2015 2.9 2 11/05/2015 2.9 2 11/06/2015 2.9 2 11/07/2015 3.2 2 11/08/2015 5.0 2 11/09/2015 3.7 2 11/10/2015 3.1 2 11/11/2015 4.1 2 11/12/2015 3.8 2 11/13/2015 6.5 2 11/14/2015 23.3 2 11/15/2015 29.8 2 11/16/2015 5.9 2 11/17/2015 10.7 2 11/18/2015 10.0 2 11/19/2015 4.7 2 11/20/2015 3.6 2 11/21/2015 3.1 2 11/22/2015 2.9 2 11/23/2015 2.8 2 11/24/2015 3.6 2 11/25/2015 3.1 2 11/26/2015 2.7 2 11/27/2015 2.6 2 11/28/2015 2.5 2 11/29/2015 2.4 2 11/30/2015 2.6 2 12/01/2015 2.9 2 12/02/2015 5.1 2 12/03/2015 74.2 10 12/04/2015 32.1 2 12/05/2015 40.3 10 12/06/2015 93.9 10 12/07/2015 90.1 10 12/08/2015 53.8 2 12/09/2015 97.2 10 12/10/2015 98.5 10 12/11/2015 61.4 10 12/12/2015 39.7 2 12/13/2015 43.9 2 12/14/2015 24.8 2 12/15/2015 16.9 2 12/16/2015 15.5 2 12/17/2015 14.8 50 12/18/2015 18.6 50 12/19/2015 14.2 50 12/20/2015 20.1 50 12/21/2015 27.6 50 12/22/2015 32.0 50 12/23/2015 24.0 50 12/24/2015 19.8 50 12/25/2015 17.1 50 12/26/2015 14.9 50 12/27/2015 12.7 50 12/28/2015 11.2 50 12/29/2015 9.3 50 12/30/2015 7.6 50 12/31/2015 6.2 50 01/01/2016 5.6 50 01/02/2016 4.9 50 01/03/2016 4.3 50 01/04/2016 4.6 50 01/05/2016 5.5 50 01/06/2016 6.5 50 01/07/2016 5.4 50 01/08/2016 5.0 50 01/09/2016 4.1 50 01/10/2016 3.7 50 01/11/2016 3.5 50 01/12/2016 20.6 50 01/13/2016 97.1 10 01/14/2016 44.3 2 01/15/2016 29.2 2 01/16/2016 29.0 2 01/17/2016 35.5 2 01/18/2016 35.4 2 01/19/2016 30.5 2 01/20/2016 33.8 2 01/21/2016 254 01/22/2016 133 10 01/23/2016 61.3 2 01/24/2016 44.8 2 01/25/2016 33.3 2 01/26/2016 26.6 2 01/27/2016 22.7 2 01/28/2016 49.4 2 01/29/2016 43.5 2 01/30/2016 34.7 2 01/31/2016 27.0 2 02/01/2016 21.9 2 02/02/2016 18.7 2 02/03/2016 19.0 2 02/04/2016 23.3 2 02/05/2016 17.4 2 02/06/2016 16.8 2 02/07/2016 13.2 2 02/08/2016 11.4 2 02/09/2016 10.1 2 02/10/2016 9.3 2 02/11/2016 8.6 2 02/12/2016 8.6 2 02/13/2016 7.9 2 02/14/2016 7.3 2 02/15/2016 10.6 2 02/16/2016 11.3 2 02/17/2016 9.3 2 02/18/2016 11.0 2 02/19/2016 25.0 2 02/20/2016 24.3 2 02/21/2016 17.9 2 02/22/2016 15.4 2 02/23/2016 12.8 2 02/24/2016 11.0 2 02/25/2016 9.4 2 02/26/2016 8.7 2 02/27/2016 8.7 2 02/28/2016 14.4 2 02/29/2016 11.5 2 03/01/2016 38.5 2 03/02/2016 40.9 2 03/03/2016 38.5 2 03/04/2016 28.5 2 03/05/2016 41.0 2 03/06/2016 47.7 2 03/07/2016 45.1 2 03/08/2016 41.4 2 03/09/2016 254 03/10/2016 254 03/11/2016 77.4 10 03/12/2016 58.4 2 03/13/2016 85.8 10 03/14/2016 77.0 10 03/15/2016 47.9 2 03/16/2016 37.3 2 03/17/2016 28.8 2 03/18/2016 23.5 2 03/19/2016 20.2 2 03/20/2016 18.7 2 03/21/2016 19.0 2 03/22/2016 18.5 2 03/23/2016 18.1 2 03/24/2016 17.6 2 03/25/2016 16.4 2 03/26/2016 14.6 2 03/27/2016 16.2 2 03/28/2016 14.3 2 03/29/2016 12.0 2 03/30/2016 10.7 2 03/31/2016 9.9 2 04/01/2016 9.1 2 04/02/2016 8.6 2 04/03/2016 8.5 2 04/04/2016 8.9 2 04/05/2016 9.6 2 04/06/2016 8.0 2 04/07/2016 7.2 2 04/08/2016 6.9 2 04/09/2016 6.7 2 04/10/2016 6.0 2 04/11/2016 6.3 2 04/12/2016 6.4 2 04/13/2016 5.8 2 04/14/2016 6.7 2 04/15/2016 5.7 2 04/16/2016 5.3 2 04/17/2016 5.0 2 04/18/2016 4.7 2 04/19/2016 4.3 2 04/20/2016 4.1 2 04/21/2016 255 04/22/2016 3.9 2 04/23/2016 5.6 2 04/24/2016 24.9 2 04/25/2016 15.7 2 04/26/2016 9.8 2 04/27/2016 7.7 2 04/28/2016 6.5 2 04/29/2016 6.4 2 04/30/2016 5.8 2 05/01/2016 4.9 2 05/02/2016 4.4 2 05/03/2016 3.8 2 05/04/2016 3.6 2 05/05/2016 3.5 2 05/06/2016 3.0 2 05/07/2016 2.7 2 05/08/2016 2.8 2 05/09/2016 3.0 2 05/10/2016 2.5 2 05/11/2016 2.2 2 05/12/2016 2.1 2 05/13/2016 2.2 2 05/14/2016 2.6 2 05/15/2016 4.5 2 05/16/2016 4.5 2 05/17/2016 4.0 2 05/18/2016 3.3 2 05/19/2016 6.0 2 05/20/2016 4.5 2 05/21/2016 3.7 2 05/22/2016 4.2 2 05/23/2016 4.6 2 05/24/2016 3.5 2 05/25/2016 3.2 2 05/26/2016 2.8 2 05/27/2016 5.0 2 05/28/2016 4.7 2 05/29/2016 3.9 2 05/30/2016 3.4 2 05/31/2016 2.6 2 06/01/2016 2.4 2 06/02/2016 2.4 2 06/03/2016 2.5 2 06/04/2016 2.0 2 06/05/2016 1.8 2 06/06/2016 1.6 2 06/07/2016 1.6 2 06/08/2016 1.6 8 06/09/2016 2.1 2 06/10/2016 2.3 2 06/11/2016 3.0 2 06/12/2016 2.5 2 06/13/2016 2.4 2 06/14/2016 4.8 2 06/15/2016 7.1 2 06/16/2016 3.6 2 06/17/2016 3.0 2 06/18/2016 3.3 2 06/19/2016 3.8 2 06/20/2016 2.7 2 06/21/2016 2.5 140 06/22/2016 2.4 140 06/23/2016 5.8 140 06/24/2016 20.1 140 06/25/2016 5.9 140 06/26/2016 3.8 140 06/27/2016 255 06/28/2016 2.5 140 06/29/2016 2.4 140 06/30/2016 2.4 140 07/01/2016 2.3 140 07/02/2016 2.3 140 07/03/2016 2.3 140 07/04/2016 2.2 140 07/05/2016 2.4 140 07/06/2016 2.3 140 07/07/2016 2.2 140 07/08/2016 2.2 140 07/09/2016 2.2 140 07/10/2016 2.2 140 07/11/2016 2.2 140 07/12/2016 2.2 140 07/13/2016 2.1 140 07/14/2016 2.1 140 07/15/2016 2.0 140 07/16/2016 1.9 140 07/17/2016 1.9 140 07/18/2016 1.9 140 07/19/2016 1.9 140 07/20/2016 1.7 140 07/21/2016 1.6 140 07/22/2016 2.2 140 07/23/2016 255 07/24/2016 2.5 140 07/25/2016 255 07/26/2016 1.8 140 07/27/2016 1.7 140 07/28/2016 1.5 140 07/29/2016 1.3 140 07/30/2016 1.1 140 07/31/2016 1.2 140 08/01/2016 255 08/02/2016 1.5 140 08/03/2016 1.6 140 08/04/2016 1.4 140 08/05/2016 255 08/06/2016 1.3 140 08/07/2016 1.4 140 08/08/2016 1.7 140 08/09/2016 1.7 140 08/10/2016 1.9 140 08/11/2016 1.6 140 08/12/2016 1.3 140 08/13/2016 1.2 140 08/14/2016 1.2 140 08/15/2016 1.3 140 08/16/2016 1.3 140 08/17/2016 1.3 140 08/18/2016 1.1 140 08/19/2016 1 140 08/20/2016 0.9 140 08/21/2016 1.2 140 08/22/2016 1.5 140 08/23/2016 1.5 140 08/24/2016 255 08/25/2016 1.2 140 08/26/2016 1.2 140 08/27/2016 1.2 140 08/28/2016 1.5 140 08/29/2016 1.7 140 08/30/2016 1.6 140 08/31/2016 1.9 140 09/01/2016 2.3 140 09/02/2016 3.0 140 09/03/2016 255 09/04/2016 255 09/05/2016 2.4 140 09/06/2016 3.1 140 09/07/2016 255 09/08/2016 3.9 140 09/09/2016 2.7 140 09/10/2016 2.4 140 09/11/2016 2.2 140 09/12/2016 2.0 140 09/13/2016 1.8 140 09/14/2016 2.1 140 09/15/2016 2.2 140 09/16/2016 2.3 140 09/17/2016 2.7 140 09/18/2016 3.2 140 09/19/2016 3.1 140 09/20/2016 3.0 140 09/21/2016 2.7 140 09/22/2016 2.6 140 09/23/2016 255 Quality Codes Key: 2 - Good quality provisional data 8 - Below rating 10 - Above rating, but within 2x 50 - Estimated data 140 - Data not yet checked 254 - Rating table exceeded (data will not be reported) 255 - Incomplete day