search for: streamflow

...9;]], type = 'l', col = 'lightsteelblue4', ylab = 'Discharge [cms]', main = sprintf('%s [%s]', stn[['metadata']][['name']], stn[['metadata']][['id']]), km^2 <- expression sub = sprintf('Seasonal station with natural streamflow - Lat: %s Lon: %s Gross Area %s km^2 - Effective Area %s km^2', stn[['metadata']][['latitude']], stn[['metadata']][['longitude']],stn[['metadata']][['grossarea']], stn[['metadata']][['effectivearea']]), ce...

http://waterdata.usgs.gov/nwis/uv?format=rdb&period=7&site_no=021973269 I would like to be able to parse this file up: I can do this x <- read.table("http://waterdata.usgs.gov/nwis/uv?format=rdb&period=7&site_no=021973269", skip=26) but If I add another gauge to this x <-

hi everyone! i want to check the autocorrelation function for a univariate time series (streamflow) in a data frame as below: < DF <- read.table("D:/file path....") < DF year jan feb mar apr ...... dec 1966 0.504 0.406 0.740 0.241 0.429 1967 0.683 0.529 0.780 0.443 0.503 . . . . what i first tried is: acf (DF, plot = TRUE)...

I don't even know if this is the right place to ask this question. I would like to download USGS stream gauging data for a couple of gauges on a daily basis- save the files to .csv files and append the nest days time series to this. Is there a way to do this automatically in R? thanks, -- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or

Can anyone show me how to add a log Pearson type III plot using the evdistq() command to an extreme value plot using the lmom package? Attached sample code below... Thanks in advance, Dave library(lmom) # annual maximum daily streamflows Mackenzie River mackenzieRiver = c(26600, 30300, 34000, 32000, 29200, 28300, 28600, 26400, 28300, 28800, 29000, 22100, 32900, 31800, 21600, 32100, 27000, 24800, 28000, 35000, 32000, 25000, 15800, 28800, 29900, 28000, 25600, 19700, 25700, 29500, 26800, 30000, 29500) # estimate moments moments = sa...

Dear R community, I'm hoping someone out there has perhaps done this and can share their code and/or expertise with me. I need to pull recession periods out of a hydrograph - can anyone help me with this? I want to create a subset from streamflow data that consists of just the recession curves - the decreasing runoff after the passage of a peak flow. would really appreciate any help on this! Janet -- Tague Team Lab Manager 1005 Bren Hall UCSB, Santa Barbara, CA. [[alternative HTML version deleted]]

Hi all, I am attempting to run PCA on a matrix (nrow=66, ncol=84) using 'prcomp' (stats package). My data (referred to as 'Q' in the code below) are separate river streamflow gaging stations (columns) and peak instantaneous discharge (rows). I am attempting to use PCA to identify regions of that vary together. I am entering the following command: test_pca_Q<-prcomp(~.,data=Q,scale.=TRUE,retx=FALSE,na.action=na.omit) It is outputting 54 'standard deviation'...

...d in: > ### Name: plot2 > ### Title: Plotting 2 Time Series > ### Aliases: plot2 > ### Keywords: dplot > > ### ** Examples > > sim <- 2:11 > obs <- 1:10 > ## Not run: > ##D plot2(sim, obs) > ## End(Not run) > > ################## > # Loading daily streamflows of the Ega River (Spain), from 1961 to 1970 > require(zoo) Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from 'package:base': as.Date, as.Date.numeric > data(EgaEnEstellaQts) > obs <- EgaEnEstellaQts > > # Genera...

Hi, I'm new to the whole R-thing as a replacement for Matlab, not disappointed sofar ;) I found out how to make nice looking boxplots, but i also would like the make a boxplot with 5% and 95% instead of the standard 25 and 75% quantiles. My csv input looks something like: LOCATION FILTER NR DATE VALUE MONTH Peelhorst01 1 14-Jan-94 23.07 1 Peelhorst01 1 28-Jan-94 23.68 1 Peelhorst01 1

...: https://cran.r-project.org/web/packages/hydroTSM/news/news.html Two vignettes illustrate the usage of the some of the main functions: 1) Analysis of daily precipitation data: https://cloud.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Daily_P_Vignette-knitr.pdf 2) 1) Analysis of daily streamflow data: https://cloud.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Daily_Q_Vignette-knitr.pdf If you use this package, please cite it correctly as: Zambrano-Bigiarini, Mauricio (2024). hydroTSM: Time Series Management and Analysis for Hydrological Modelling. R package version 0.7-0. URL:...

...: https://cran.r-project.org/web/packages/hydroTSM/news/news.html Two vignettes illustrate the usage of the some of the main functions: 1) Analysis of daily precipitation data: https://cloud.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Daily_P_Vignette-knitr.pdf 2) 1) Analysis of daily streamflow data: https://cloud.r-project.org/web/packages/hydroTSM/vignettes/hydroTSM_Daily_Q_Vignette-knitr.pdf If you use this package, please cite it correctly as: Zambrano-Bigiarini, Mauricio (2024). hydroTSM: Time Series Management and Analysis for Hydrological Modelling. R package version 0.7-0. URL:...

hi everyone! I have a 40-year monthy streamflow record. And i want to fit a neural network. I already fitted an autoregressive model and found out that an AR(3) model fits my time series (time.series) the best. I am currently having problems on how to express the argument "formula" for my neural network.. I am aware that my model sho...

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in