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. 17F050--Salmon Cr. @ WDFW DATE Water Temp. (°C) QUALITY ---------- ---------------- ------- 10/01/2016 10.2 140 10/02/2016 10.7 140 10/03/2016 10.4 140 10/04/2016 10.8 140 10/05/2016 11.2 140 10/06/2016 11.3 140 10/07/2016 11.3 140 10/08/2016 11.4 140 10/09/2016 10.7 140 10/10/2016 9.4 140 10/11/2016 8.4 140 10/12/2016 7.8 140 10/13/2016 9.6 140 10/14/2016 10.3 140 10/15/2016 10.1 140 10/16/2016 10.4 140 10/17/2016 10.2 140 10/18/2016 9.8 140 10/19/2016 8.8 140 10/20/2016 10.0 140 10/21/2016 9.6 140 10/22/2016 8.9 140 10/23/2016 9.8 140 10/24/2016 9.8 140 10/25/2016 10.1 140 10/26/2016 9.9 140 10/27/2016 10.3 140 10/28/2016 10.0 140 10/29/2016 9.4 140 10/30/2016 8.6 140 10/31/2016 9.4 140 11/01/2016 9.5 140 11/02/2016 10.1 140 11/03/2016 9.6 140 11/04/2016 9.3 140 11/05/2016 10.7 140 11/06/2016 10.1 140 11/07/2016 10.3 140 11/08/2016 10.9 140 11/09/2016 11.2 140 11/10/2016 10.6 140 11/11/2016 10.6 140 11/12/2016 11.0 140 11/13/2016 10.2 140 11/14/2016 10.1 140 11/15/2016 9.3 140 11/16/2016 7.8 140 11/17/2016 6.8 140 11/18/2016 6.3 140 11/19/2016 7.4 140 11/20/2016 8.7 140 11/21/2016 8.3 140 11/22/2016 8.1 140 11/23/2016 7.7 140 11/24/2016 7.5 140 11/25/2016 7.5 140 11/26/2016 8.2 140 11/27/2016 7.6 140 11/28/2016 7.3 140 11/29/2016 7.1 140 11/30/2016 7.3 140 12/01/2016 6.3 140 12/02/2016 7.1 140 12/03/2016 7.3 140 12/04/2016 6.1 140 12/05/2016 4.6 140 12/06/2016 4.0 140 12/07/2016 2.7 140 12/08/2016 1.9 140 12/09/2016 3.1 140 12/10/2016 3.6 140 12/11/2016 3.4 140 12/12/2016 3.4 140 12/13/2016 3.1 140 12/14/2016 2.1 140 12/15/2016 2.2 140 12/16/2016 1.2 140 12/17/2016 0.8 140 12/18/2016 1.5 140 12/19/2016 2.6 140 12/20/2016 3.1 140 12/21/2016 2.4 140 12/22/2016 2.5 140 12/23/2016 3.2 140 12/24/2016 3.1 140 12/25/2016 3.1 140 12/26/2016 2.9 140 12/27/2016 3.1 140 12/28/2016 2.7 140 12/29/2016 3.7 140 12/30/2016 3.5 140 12/31/2016 2.7 140 01/01/2017 2.3 140 01/02/2017 1.6 140 01/03/2017 0.4 140 01/04/2017 0.0 140 01/05/2017 -0.1 140 01/06/2017 -0.1 140 01/07/2017 0.3 140 01/08/2017 1.3 140 01/09/2017 2.2 140 01/10/2017 2.1 140 01/11/2017 0.7 140 01/12/2017 0.1 140 01/13/2017 0.5 140 01/14/2017 0.8 140 01/15/2017 0.9 140 01/16/2017 1.8 140 01/17/2017 3.5 140 01/18/2017 4.2 140 01/19/2017 4.0 140 01/20/2017 3.9 140 01/21/2017 4.3 140 01/22/2017 4.4 140 01/23/2017 3.8 140 01/24/2017 3.3 140 01/25/2017 3.9 140 01/26/2017 4.3 140 01/27/2017 4.0 140 01/28/2017 4.1 140 01/29/2017 4.3 140 01/30/2017 4.6 140 01/31/2017 3.6 140 02/01/2017 2.0 140 02/02/2017 1.1 140 02/03/2017 2.3 140 02/04/2017 3.3 140 02/05/2017 3.4 140 02/06/2017 2.4 140 02/07/2017 2.2 140 02/08/2017 1.9 140 02/09/2017 3.1 140 02/10/2017 3.8 140 02/11/2017 3.3 140 02/12/2017 3.2 140 02/13/2017 3.0 140 02/14/2017 3.8 140 02/15/2017 6.5 140 02/16/2017 6.6 140 02/17/2017 5.9 140 02/18/2017 5.6 140 02/19/2017 5.5 140 02/20/2017 5.3 140 02/21/2017 5.6 140 02/22/2017 4.4 140 02/23/2017 3.9 140 02/24/2017 3.7 140 02/25/2017 3.5 140 02/26/2017 4.0 140 02/27/2017 3.5 140 02/28/2017 3.5 140 03/01/2017 4.0 140 03/02/2017 4.9 140 03/03/2017 5.3 140 03/04/2017 4.4 140 03/05/2017 4.0 140 03/06/2017 3.6 140 03/07/2017 3.6 140 03/08/2017 4.3 140 03/09/2017 4.2 140 03/10/2017 4.8 140 03/11/2017 5.5 140 03/12/2017 5.9 140 03/13/2017 6.3 140 03/14/2017 7.3 140 03/15/2017 7.2 140 03/16/2017 6.5 140 03/17/2017 5.5 140 03/18/2017 6.1 140 03/19/2017 255 03/20/2017 255 03/21/2017 255 03/22/2017 7.5 140 03/23/2017 6.3 140 03/24/2017 7.0 140 03/25/2017 6.6 140 03/26/2017 6.6 140 03/27/2017 6.8 140 03/28/2017 7.7 140 03/29/2017 255 03/30/2017 7.6 140 03/31/2017 7.3 140 04/01/2017 8.0 140 04/02/2017 6.9 140 04/03/2017 6.5 140 04/04/2017 6.6 140 04/05/2017 7.9 140 04/06/2017 7.8 140 04/07/2017 7.9 140 04/08/2017 7.3 140 04/09/2017 7.0 140 04/10/2017 7.3 140 04/11/2017 7.3 140 04/12/2017 8.5 140 04/13/2017 8.3 140 04/14/2017 7.6 140 04/15/2017 7.5 140 04/16/2017 7.3 140 04/17/2017 8.6 140 04/18/2017 8.2 140 04/19/2017 8.4 140 04/20/2017 8.7 140 04/21/2017 9.2 140 04/22/2017 9.0 140 04/23/2017 8.9 140 04/24/2017 8.8 140 04/25/2017 8.7 140 04/26/2017 8.5 140 04/27/2017 7.7 140 04/28/2017 7.8 140 04/29/2017 7.7 140 04/30/2017 8.2 140 05/01/2017 8.2 140 05/02/2017 8.1 140 05/03/2017 9.5 140 05/04/2017 10.7 140 05/05/2017 10.2 140 05/06/2017 8.5 140 05/07/2017 8.7 140 05/08/2017 8.8 140 05/09/2017 9.3 140 05/10/2017 9.8 140 05/11/2017 9.7 140 05/12/2017 8.8 140 05/13/2017 8.5 140 05/14/2017 8.8 140 05/15/2017 8.7 140 05/16/2017 8.4 140 05/17/2017 8.7 140 05/18/2017 9.4 140 05/19/2017 9.8 140 05/20/2017 10.8 140 05/21/2017 11.1 140 05/22/2017 11.7 140 05/23/2017 11.7 140 05/24/2017 9.9 140 05/25/2017 10.2 140 05/26/2017 11.0 140 05/27/2017 11.7 140 05/28/2017 12.1 140 05/29/2017 12.1 140 05/30/2017 11.2 140 05/31/2017 11.3 140 06/01/2017 11.3 140 06/02/2017 11.5 140 06/03/2017 10.9 140 06/04/2017 10.5 140 06/05/2017 10.5 140 06/06/2017 11.4 140 06/07/2017 12.2 140 06/08/2017 11.7 140 06/09/2017 10.9 140 06/10/2017 10.8 140 06/11/2017 11.0 140 06/12/2017 10.9 140 06/13/2017 10.7 140 06/14/2017 10.6 140 06/15/2017 11.0 140 06/16/2017 11.4 140 06/17/2017 11.0 140 06/18/2017 10.9 140 06/19/2017 11.6 140 06/20/2017 12.1 140 06/21/2017 11.7 140 06/22/2017 11.8 140 06/23/2017 12.2 140 06/24/2017 13.0 140 06/25/2017 13.9 140 Quality Codes Key: 140 - Data not yet checked 255 - Incomplete day