20220425 09225100 1.0 TRUE 150000000 5000 FGDC C2VSimFG_Stream_Observations The data represents the observed stream flows from the USGS stream gauges and DWR CDEC gauging stations. The streamflow data is used to calculate the observed monthly flow volumes to compare with the simulated streamflow of the Fine-Grid California Central Valley Groundwater - Surface Water Flow Model (C2VSimFG). The purpose of the dataset is to allow the Sustainable Groundwater Management Act (SGMA) interested parties and the public to use the C2VSimFG's output data to assist in the implementation of their groundwater sustainability plan. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The data set contains observed streamflow data locations at stream gages in the Sacramento and San Joaquin Valley compared with the C2VSimFG simulated streamflow in the Sacramento and San Joaquin Valleys. The simulated streamflow of the C2VSimFG includes major rivers regulated by reservoirs, as well as major tributaries with unimpaired flows.</SPAN></P></DIV></DIV></DIV> Department of Water Resources, Sustainable Groundwater Management Office, Modeling and Support Tools Section and the Bay Delta Office, Modeling Support Branch C2VSimFG Central Valley Groundwater Analysis Hydrological Model <DIV STYLE="text-align:Left;"><P><SPAN>None. Reference should be made to the Department of Water Resources, Sustainable Groundwater Management Office, Modeling and Support Tools Section as the originator of this data.</SPAN></P></DIV> /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAorN1aK7uNLuo9PuVtLySJlguWj8xY32/K23+KsjwfqWo614bj/tO 2ubLUot1tM11CsTSsjbPPVFZgqvt3L9aYr62LfhvVb3WdHgvL7SLnRLuQtvsrqRHeLDbeWRmXoN1 b1cd4X8P69ot3FPq/iibXB9hS3kjazit43mV2Zp8L93Ksq7f9iuxoYo3tqFFFFIoKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igDD03RH0/W9X1FtRvbpb9oitpPLvhtdibP3S/w7vvNW5XM+Kp7vTTbat/a8em6JpyT3GpRPamR5 olib7rZ+XYRu+627GKueF/E1j4u8PafrGnPJJYX0CzwPLE0bMjDIyrDcKZN1extUUUUigooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKwdc1y40e50yGHSrzUlvLnyZZrULstl2n95Jub7tb1FAjC13w5ZeIWsDepO/2G6S9g8md4/wB6 mdu7aw3r833W+WtiGSOZN0bKy/7NZ3iLR21/RL3T47+60xp49gu7N9ksX+0retY/w2GgWvhlLbw5 GYdNtZ5rfY0Tx4lV28zhv9vdT6XJ2kddRRRSLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKxvDviO08TWMt1ZCYRRzSQMJ 4WiYMjFW4b3FbNFMQUVh+INP1PUP7O/s7VDpYgu0luR9nWU3MC/fi+b7u7+8Oa3KQBRRRQMKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKAMTxLp+oarol1a6ZqzaJqEm3y9QWBJWiO7P3G+VuPl/GsfSfDmreHdR0+Gy1Z73R/Nup75dUk ee6d5W3RCJ/4VQ7ht/u12dY/iS11K+8P3sGj366XqUkW2C8aDz1ib+9sP3qa7ENdRnibUNQ0fQr2 70vSX1vUI03RWCzrCZ29N7/KtR6GuuRzao2rzWssDXO+xW1jZXjg2L8svPzPu3fd9RWX4whuNaEf hua21FLDUbeUXOtadcLb/ZGXaVGd25d3PT0p2vP4vk1BLbRIdJSwCQN9r1CWVnP7398mxf8Apl91 t33qLaB1udjRRRSLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAqGSRIY2kkZURfmZm/hqaqV9YW+qWdxaXcEdxazxtFLFKNysrfe VqAOM8Xast/pOvW+peHJtb8J/wBlrOsunyefLfb9waKOJPm+6Fbdu/jrs7ARrZwLBEYIvLXZEy7d q/3aZpul2ui6fb2FlBHa2VtGsUNvEu1I1UYVVFQav4g0zQpLKPUb2Gza+nW1tllbb5srZ2ovq3y0 yNtWa9FYOoXmrLrumQ2llbT6XIsv224kn2ywYA8rYm35tx3VvUigooooGFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZPiDR/7e0O8083t 5p/2iLZ9qsJfKnj/ANpGx8rVehh8mFYizPtXbvZvmarFFArdTH8N6CnhnRbbTY7y9v0hXaLjULhp 5n92dutVbOS61DX7+2vNEEVjYtFJY6jLKsnnsy/OVT70ZX7tdFUM8KzRNG27ay7TtOKAt0RNRXH2 B0/wHH4c8L2tnqE1tKj28Eyo06QLGm4ebJ/Dxwta6eItMk8SS6ELuM6xHbLeNa/xLCzFQ/03Kafo LmXU2aKKKRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU UUUAFFFFABRRRQAUUUUAFFFFAGFoOk3OjtqLXGp3Opm6u3niS42/6Mjbf3S7f4V/rWv5EXmebsXz du3dj5tvpU1FAtgooooGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBgeIPF2j+F7e6uNT1G3s4rVEln3v8ANGrtsRtuM/M3 y07wv4ifxHo0OoSabe6QZdx+x6hGqXCbW2/Mqs386lbw7pkmqSambC3/ALRlhSCS58td7Rq25ULf 3d3aodY0mbW7rT5YNVvLAWNz5ssNqV23I2/6qTcp+X5geKZHvXub1FFFIsKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAryP xjq0fwf8QW+rxx2dh4X1OW4l1KOGCWe+vtRdV8lIlX+Jtjfl/DXrlZHiLw7YeKdDvNJ1OH7XYXkT RTw7mXcjdR8tNOxEk2tNymNevLm+0MWujXj2GoxNLcXUxWI2fyB1WSJvm3N93H8NdHXM2Ogw+E49 WvdPW9vpJz5/2OS5aTJWMKscW9tqfcqx4f8AEkGtW8Svts9U8iKe50t5Ua4tN67gsiqeP60DT6M3 qKKKRQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABXBeINP8P+Bda1H4galPcWbNaRafdNHveJk835HaJV+Z9z7d392u9opi auFFY0PibSZtdn0VL+3bVYI1lltN48xVb7px71n63480LQ9YsdMu9Qj/ALSu54reOziHmTBpQ+ws q8oreW/zN8vyUWYXR1NFYeheIrbXZNREEN1EbG6azk+0QNHuZcfMm77y/N94VuUgTvqgooooGFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFAHKeNPh54d+IGnxWevaVHqUMM0c6BmZWV03bG3Kd3G5v++jUmkXmmXnijXRb6VLa6laGKC5 vZrPyvtK7dybJf8Aloq7v+Ak109FO/QnlV7pBRRRSKCiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMHVvD76pfadOuq X1j9jlaVobR1VLjcm3bICvzD+KpvDeit4d0S10+TULrVHgTaby+ffLJ7s1FFN7C5Ve5sUUUUhmHY aC9nrmpagdRvbhLxYVWymceRb7FwfLXHy7v4vWtyiigVrBRRRQMKKKKACiiigAooooAKKKKAP//Z 20220425