WEBVTT Kind: captions Language: en 00:00:05.130 --> 00:00:11.690 Steve Markstrom: Welcome to the PRMS training video on the time series data process. 00:00:11.690 --> 00:00:19.090 This is not really a hydrologic process but more of administrative task that PRMS does. 00:00:19.090 --> 00:00:26.270 Basically it's got to read data from a data file, and we do have a module...PRMS has a 00:00:26.270 --> 00:00:28.430 single module that does that. 00:00:28.430 --> 00:00:31.090 It's called the OBS Module. 00:00:31.090 --> 00:00:39.170 Here you can see a cut-out of table one four from the PRMS users menu, and this part of 00:00:39.170 --> 00:00:48.260 the table shows all the different input variables that could be included in the data file. 00:00:48.260 --> 00:00:49.900 You can see there's quite a bit of them. 00:00:49.900 --> 00:01:00.190 The normal values that are in the data file are precipitation, stream flow data, daily 00:01:00.190 --> 00:01:02.140 maximum and minimum temperature. 00:01:02.140 --> 00:01:05.940 Those could be typically included in the data file. 00:01:05.940 --> 00:01:11.320 It's going to be discussed much more in the climate process presentation. 00:01:11.320 --> 00:01:21.460 Some of the rules about dealing with this stuff is that there must be a data file because 00:01:21.460 --> 00:01:27.499 PRMS uses the dates, the time steps in the data file, to actually drive the time loop 00:01:27.499 --> 00:01:31.799 so you have to have a data file. 00:01:31.799 --> 00:01:38.749 The data file must include time steps that include the period that you want to run the 00:01:38.749 --> 00:01:39.749 model for. 00:01:39.749 --> 00:01:46.759 You can't run the model outside of time steps that are included in the data file. 00:01:46.759 --> 00:01:56.209 The data file typically contains a station data and the climate-by-HRU file or the CBH 00:01:56.209 --> 00:02:04.579 file, which again will be discussed later, typically contains time series data by HRU. 00:02:04.579 --> 00:02:06.319 That's kind of the distinction. 00:02:06.319 --> 00:02:11.330 Both the data file and the CBH files can contain climate data. 00:02:11.330 --> 00:02:16.690 OK, here is a little example of the PRMS data file. 00:02:16.690 --> 00:02:23.120 Again this comes from, this image here comes from the PRMS user's manual, but what I think 00:02:23.120 --> 00:02:30.420 I'm going to do here is just pop open a text editor, and here you can see I've actually 00:02:30.420 --> 00:02:35.660 loaded in the ACF data file from the example. 00:02:35.660 --> 00:02:46.630 Here we can see this very first line is a comment or is the tag describing the source 00:02:46.630 --> 00:02:49.760 of the data, in this case created by downsizer. 00:02:49.760 --> 00:02:57.010 Then any line that starts with two slashes like that is a comment, and in this case what 00:02:57.010 --> 00:03:04.150 we've done is comment the source of the data down below. 00:03:04.150 --> 00:03:11.040 This is a station data, you can see the station ID and then the latitude, the longitude, and 00:03:11.040 --> 00:03:14.120 the elevation of the station. 00:03:14.120 --> 00:03:21.090 In this case it says, air temperature maximum so you can see we've got quite a few values 00:03:21.090 --> 00:03:26.510 of maximum air temperature, then it's air temperature minimum. 00:03:26.510 --> 00:03:30.440 Again, these are comments. 00:03:30.440 --> 00:03:39.620 Then we've got stream flow data in here, so this is the gauge ID and latitude and longitude. 00:03:39.620 --> 00:03:47.390 This stuff here basically tells you how many columns of each value type you're going to 00:03:47.390 --> 00:03:48.390 have. 00:03:48.390 --> 00:03:56.080 OK, so this says we have 79 TMAX, 79 TMIN, 79 precipitation, and then 58 stream flow 00:03:56.080 --> 00:03:57.160 values. 00:03:57.160 --> 00:04:04.790 This line here delineates the header part from the actual data down here, and then you 00:04:04.790 --> 00:04:06.080 could see the data starts. 00:04:06.080 --> 00:04:11.580 And here's the time stamp: year month day, hour, minute, second. 00:04:11.580 --> 00:04:17.199 You can see the data for that day goes out on the line. 00:04:17.199 --> 00:04:23.630 You can see this is a pretty long lines, -999 is our missing value. 00:04:23.630 --> 00:04:33.160 This goes from the end of 1949 out to sometime in 2009. 00:04:33.160 --> 00:04:41.240 OK, so that is a typical data file, and with that I will conclude this presentation.