User`s Manual
Contents
1. Frequency Intensity Site Statistics Distribution Gamma Years Used Frequency Data mm 0 999 960 0 998 907 0 995 835 0 990 778 0 980 718 0 950 635 o 2 L Mean L1 L Scale L2 715 L CoV t1 0 204 L Skew t3 0 0299 Probability Density L Kurtosis t4 0 141 i I i i 0900 566 0 800 489 Discordance 248 Ld 4 i i i 0 500 362 4 El 0 200 260 100 200 300 400 500 600 900 1000 0 100 215 Rainfall mm 0 050 182 0 020 150 PDF Non Exceedance Exceedance 0 010 131 0 005 115 Distribution Plots 0 002 98 0 001 87 2 Parameter Exponential Gumbel Normal Uniform Gamma R Squared 0 828 3 Parameter 7 Gen Extreme Value Gen Pareto Gen Logistic Log Normal Pearson lll 7 Log Pearson Ill 4 5 Parameter Kappa Wakeby Parameters Save Print Plot Save as Table Figure 13 Site Frequency Analysis window illustrating the PDF of the data for a specific site along with the estimated fits of the Generalized Extreme Value Generalized Logistic and Log Pearson Type lll distributions Good Sites BCH Eesedance Frequency Analysis Contour Map Frequency Intensity r Site Statistics Distribution Ga Years Used B h P Ohn Frequency Data mm 0999 960 0998 907 0 995 835 778 718 L Mean L1 L Scale L2 75 L CoV t1 0 204 Rainfall mm o 8 8 L Skew t3 00299 L Kurtosis t42. see Fig 13 In addition the list of distributions near the bottom of the window and the exceedance table on the right side of the window are activated 8 Refer to Fig 13 A plot similar to the one shown in Fig 13 will appear when the user selects the PDF radio button The data for the site selected in the site drop box are plotted as a histogram In addition the PDF s of all selected distributions are plotted as curves of various colors Various properties of this plot can be changed in the Edit Plots window which is discussed below 9 Refer to Fig 13 A plot similar to the one shown in Fig 14 will appear when the user selects the Non Exceedance radio button The data for the site selected are plotted as a gray inverted growth curve In addition non exceedance plots for all selected distributions are plotted as inverted growth curves of various colors Various properties of this plot can be changed in the Edit Plots window which is discussed below 10 Refer to Fig 13 A plot similar to the one shown in Fig 15 will appear when the user selects the Exceedance radio button The data for the site selected are plotted as a gray growth curve In addition exceedance plots for all selected distributions are plotted as growth curves of various colors Various properties of this plot can be changed in the Edit Plots window which is discussed below Bl Site Analysis Good Sites BCH Exceedance
3. time variable is the calendar attribute This property will inform the software as to whether leap days are included in the data Two options for this attribute are available if leaps days are included in the data the calendar attribute should be leap otherwise the calendar attribute should be set to noleap If the calendar attribute is set to any other string or value Hydro FIT will request that the user indicate whether leaps years are included in the Data Screening window Application In order to run Hydro FIT double click on the Hydro FIT icon If this is the first time that the program has been run the Disclaimer window will appear Fig 3 The user must read and agree to all of the license and disclaimer information prior to clicking OK to proceed This will cause the title screen to appear Fig 4 The title screen currently contains one menu the File menu which allows the user to either begin a new analysis open a previously saved analysis or exit the application Click on the File menu and then click New Analysis to begin a new frequency analysis Data Screening The screen that appears after selecting New Analysis is called the Data Screening window Fig 5 This window is divided into three panels titled Load Data Data Screening and Index Analysis All menus and options except for the Browse button are initially disabled Fora deta
4. 624 1 100 0 618 0 800 548 1 000 0 514 0 500 429 0 900 0 406 0 200 338 0 800 0 302 0 100 299 0 700 0 21 0 050 270 0 600 0 135 0 020 240 0 500 0 079 0 010 221 0 400 0 042 0 005 205 0 300 0 02 0 002 0 200 0 008 0 001 175 0 100 0 003 R Squared 0 518 R Squared 0 885 Parameters Parameters a b Figure 16 Exceedance tables showing a intensities for various frequencies and b frequencies of various multiples of the mean intensity 13 Acontour plot of a rectangular region that contains all of the sites will be displayed when the user clicks the Contour Map radio button The contour plot will initially display filled contours of the data calculated for an exceedance frequency of 0 95 ora 20 year event using the Gumbel distribution See Fig 18 for an example of the contour plot using a selected frequency of 0 95 and the Gumbel distribution Various properties of this plot can be changed in the Edit Plots window which is discussed below E Parameters m GEV Parameters 1 Location xi 327 987 2 Scale alpha 132 959 3 Shape k 0 231 4 5 Figure 17 Distribution Parameters window Bl Site Analysis Good Sites 8000900 EXceedance Frequency Analysis Contour Map Yates intensity Site Statistics Gamma Years Used 21 30 L Mean L1 111 5 L Scale L2 529 t1 0474 ww jpesurey L Skew t3 0 16 L Kurtosis 4 0 0479 Discorda
5. Indian Precipitation SF Solar Flux MJO9 Madden Julian Oscillation 20E MJO10 Madden Julian Oscillation 0 70 MJO1 Madden Julian Oscillation 80E MJO2 Madden Julian Oscillation 100E MJO3 Madden Julian Oscillation 120E MJO4 Madden Julian Oscillation 140E MJO5 Madden Julian Oscillation 160E MJO6 Madden Julian Oscillation 0 120W MJO7 Madden Julian Oscillation 40W MJO8 Madden Julian Oscillation 10W 15 The Graph button is used to determine if any of the 39 global climate indices included in Hydro FIT correlate with the data for the chosen period of the year using the specified lag index limits have no effect on the correlation results Figure 7 shows an example of the Index Analysis window A list of valid sites will be given in the drop down box in the top left corner from which any site can be selected Five global climate indices are given below the list of sites along with corresponding values of R2 The five indices listed have the highest correlations with regard to the data using the specified period of the year and lag time The relationship between any of these indices and the data can be displayed on the graph on the right side of Fig 7 by clicking the radio button next to the desired index The graph can be saved or printed as a plot or saved as a table by clicking either the Save Print Plot button or the Save as Table button respectively Clicking the Save Print Plot button causes the plot
6. Statistics 800 00 L 4 zamma Years Used 52 53 700 00 L Mean L1 4488 AUS L Scale L2 725 E 600 00 6 9 L CoV 1 0 161 500 00 1 1 S h L Skew t3 0 148 a 400 00 L Kurtosis t4 00716 300 00 Discordance 272 20000 L 1 1 L 1 1 1 L 1 Ld 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 8 Delete Site Year Time Series 13 vs t4 Distribution Plots 2 Parameter Exponential umbel Normal Jniforrr jamma 3 Parameter Gen Extreme Value Gen Pareto Gen Logistic Log Normal Pearson lll Log Pearson I 4 5 Parameter Kappa Wakeby 2 Save Print Plot 8 Save as Table 9 Close Figure 10 Site Frequency Analysis window showing a time series of the data at a specific site Table 2 Dependency of the critical discordancy on the number of sites in a region Hosking amp Wallis 1997 Number of Sites Critical Discordancy Number of Sites Critical Discordancy 5 1 333 11 2 632 6 1 648 12 2 757 7 1 917 13 2 869 8 2 140 14 2 971 9 2 329 15 or more 3 000 10 2 491 4 Two options will be made available below the plot window when the user clicks the Data radio button time series and t3 vs t4 5 The Time Series radio button allows the user to view a time series of the data for the selected site If there is no index analysis component to the current analysis then the plot will look similar to the one shown in Fig 10 where the sites that m
7. analysis If no upper limit is desired the user should leave this space empty 17 The lower limit of the range of the selected global climate index is entered here All years during which the average value of the selected global climate index during the months included in the frequency analysis while also taking into account the desired lag is less than the lower limit will not be included in the frequency analysis If no lower limit is desired the user should leave this space empty 18 The user should click on the Site Analysis button only after making sure all of the desired options are selected and the appropriate values are entered where required Please refer to the next section for details concerning the Site Frequency Analysis window 19 The Clear button at the bottom of the Data Screening window resets all drop down menus and clears or resets all entries to their default values this includes the options within the Index Analysis windows as well 20 The Save button allows the user to save all information that has been either selected or entered in the Data Screening window Once clicked a window will appear in which the user can select a location to save the file as a text txt file This file can be retrieved by clicking Open under the File menu within the Title Screen refer to Fig 4 and browsing to the file s location 21 The Close button closes the Data S
8. or xlsx or a netCDF file nc any other format will cause an error to appear within Hydro FIT The Microsoft Excel input file may contain various types of data which include rainfall stream flow storm counts pressure temperature wind speed and index values whereas a netCDF input file may only contain rainfall data at the present time If the input file is a Microsoft Excel spreadsheet it must contain at least one folder that contains the station data to be analyzed Depending on the resolution of the data the folder must be titled Data Monthly or Data Daily any other name will cause an error message to appear If analyses using both data resolutions are desired then both folders need to be present in the input file An example of an Excel input file containing monthly data is shown in Fig 1 The first row is reserved for the column headings which should remain unaltered The first column should contain the ID or site name which can be a number or string corresponding to the data that is contained within a particular row The second column is reserved for the year during which the data in the next twelve columns were collected The following twelve columns contain the monthly data for all months of the year January to December All columns except the first column are required to be in numeric format any other format will cause an error message to appear An additional worksheet that is required in a Microsoft Excel i
9. to open in a new window not shown There are six buttons located at the top of the plot window that allow the user to save the plot print the plot zoom in zoom out pan and add a legend Zooming in can be performed by either drawing a rectangle around the area that is desired or by clicking somewhere on the graph Zooming out can also be performed by clicking at some location on the graph Panning can be performed by clicking somewhere on the graph and dragging the cursor until the desired view is achieved The user must click the red X at the upper right corner of the window to close the window Clicking the Save as Table button in the Index Analysis window causes the window shown in Fig 8 to appear The user must click Browse to select a location in which to save the data the location will be shown in the space to the right of the Browse button Clicking OK saves the data to a text file at the selected location an example text file is shown in Fig 9 n Index Information Madden Julian Oscillation The MJO is the largest element of intraseasonal 30 90 days variability in the tropics The MJO is an eastward propagating circulation pattern that manifests itself at various locations near the equator as convective and rainfall anomalies The MJO is measured at ten different longitudes along the equator represented by the ten indices listed in the drop down box Figure 6 Index Informa
10. with identified errors corrected You as a voluntary user of Hydro FIT agree to indemnify and hold HydroMet LLC harmless from any claim including reasonable attorneys fees made by any third party due to or arising out of your use of Hydro FIT or breach of this Agreement or your violation of any law or the rights of a third party By clicking OK you voluntarily accept these terms and conditions If you do not agree to these terms and conditions please cease using the program and destroy all copies of Hydro FIT Please report any defects observed in Hydro FIT to Jason Giovannettone at HydroMet LLC Email giovanja live com Phone 612 554 6159 OK Cancel Figure 3 Hydro FIT License amp Disclaimer window HydroMetriks Frequency Intensity Tool Hydro FIT Developed by HydroMetriks LLC Figure 4 Hydro FIT Title Screen Data E Work HydroMet Data Results South Central America Argentina PDSI Pampas region SPI Indices Pampas region xlsx Data Resolution Monthly Analysis Type All Data 8 Data Type Indices 5 Leap Days Included Yes No NoData Value Data Screening 3 Index Analysis Index Name Madden Julian Oscillation 20E MJO9 Lag months 4 Upper Limit 0 10 Beginning Month Duration months 2 Lower Limit Minimum Data yrs Data Units Site Analysis 3 Clear Save
11. 0441 Discordance 2 48 10 100 Recurrence Interval yrs Non Exceedance Exceedance Distribution Plots 2 Parameter M Exponential Gumbel E Normal Uniform Gamma 3 Parameter 7 Gen Extreme Value E Gen Pareto Ivi Gen Logistic E Log Normal 4 5 Parameter Kappa E Wakeby Figure 14 Site Frequency Analysis window illustrating the non exceedance curve of the data gray for a specific site along with the estimated fits of the Generalized Extreme Value orange Generalized Logistic blue and Log Pearson Type III olive green distributions for a range of recurrence intervals Good Sites BCH Frequency Analysis r Site Statistics Lii Years Used 90 91 L Mean L1 3795 L Scale L2 775 L CoV t1 0 204 Rainfall mm L Skew t3 0 0299 L Kurtosis t4 0 141 Discordance 248 i 10 100 Recurrence Interval yrs Non Exceedance 5 Exceedancd Distribution Plots 2 Parameter M Exponential E Gumbel Normal Uniform E Gamma 3 Parameter 7 Gen Extreme Value Gen Pareto Gen Logistic E Log Normal Pearson III M Log Pearson III 4 5 Parameter M Kappa E Wakeby Figure 15 As in Fig 14 except for illustrating exceedance curves 11 There are 13 standard distributions included within the current version of Hydro FIT The user can plot or remove any of the distribut
12. 304 91 326 36 344 76 356 66 378 52 419 29 471 17 513 74 513 74 513 74 304 91 304 91 304 91 304 91 304 91 304 91 304 91 327 05 344 14 354 6 360 59 370 09 413 5 466 46 513 74 513 74 513 74 51 304 91 304 91 304 91 304 91 304 91 304 91 329 45 349 21 359 96 364 02 367 69 380 83 414 18 460 88 513 74 513 74 513 74 304 91 304 91 304 91 304 91 304 91 330 25 354 73 368 6 372 1 370 15 372 64 387 1 411 19 445 79 485 28 513 74 513 74 513 304 91 304 91 304 91 304 91 328 9 359 16 376 5 381 17 374 88 366 6 369 22 382 81 400 87 421 38 445 41 474 69 513 74 513 304 91 304 91 304 91 320 02 360 95 388 3 389 51 378 16 357 61 349 36 361 03 377 74 390 51 398 39 407 34 438 85 473 62 5 304 91 304 91 5 52 355 6 389 44 412 63 387 02 343 55 305 7 327 24 358 24 377 24 384 48 386 91 394 21 417 39 447 05 47 304 91 304 91 320 11 339 31 360 4 382 33 399 84 401 01 372 57 332 19 326 98 331 57 365 12 378 55 380 3 381 49 389 41 406 68 427 74 45 326 1 337 67 349 7 362 45 375 87 389 01 399 1 401 37 392 05 375 44 368 67 386 48 365 15 364 23 372 3 372 69 375 38 383 35 396 16 411 76 428 383 92 389 84 396 04 402 41 408 27 412 06 411 43 404 66 393 38 383 81 381 24 379 83 363 96 353 34 355 14 360 2 366 54 374 63 384 6 395 98 40 442 17 441 47 440 75 439 6 437 17 432 23 423 82 412 28 399 75 388 31 376 64 361 18 344 98 335 98 340 58 348 43 356 24 363 52 370 48 377 12 3 513 74 513 74 483 78 474 55 463 97 451 57 437 41 422 25 406 88 390 67 371 4 349 39 337 68 332 02 334 95 3
13. 40 55 346 18 350 82 354 3 356 76 35 513 74 513 74 513 74 513 74 513 74 470 84 451 57 432 59 413 9 394 83 375 42 358 39 347 9 340 88 337 52 336 89 337 34 337 55 336 9 335 36 333 513 74 513 74 513 74 513 74 513 74 513 74 465 68 442 74 421 51 402 24 385 88 374 01 366 21 354 85 344 3 336 19 329 86 324 37 318 99 313 32 3 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 Figure 22 Example of contour plot data saved as a text file Information includes the number of rows and columns coordinates of the lower left pixel of the plot cell size no data value and plotted values from south to north and west to east Contact Information Hydro FIT is being continuously designed and updated by HydroMetriks LLC while keeping in mind the needs of our customers and collaborators Any comments or suggestions with regard to how Hydro FIT can better fit your needs are always welcome Please feel free to contact HydroMetriks staff at giovanja live com or 612 554 6159
14. HydroMetriks LLC HydroMetriks Frequency Intensity Tool Hydro FIT Users Manual Version 1 0 Updated May 1 2015 License amp Disclaimer This software program Hydro FIT may not be copied and is licensed for use as a single unit HydroMetriks LLC provides Hydro FIT AS IS without any warranty or condition and specifically disclaims any implied warranties of title merchantability and fitness for a particular purpose and non infringement HydroMetriks LLC shall under no circumstances be liable for lost income or any special incidental or consequential damages due to the use of Hydro FIT The liability of HydroMetriks LLC to you is limited to the replacement of certified copy s of Hydro FIT with identified errors corrected You as a voluntary user of Hydro FIT agree to indemnify and hold HydroMetriks LLC harmless from any claim including reasonable attorneys fees made by any third party due to or arising out of your use of Hydro FIT or breach of this Agreement or your violation of any law or the rights of a third party If you do not agree to these terms and conditions please cease using the program and destroy all copies of Hydro FIT Please report any defects observed in Hydro FIT to Jason Giovannettone at HydroMetriks LLC Email giovanja live com Phone 612 554 6159 Table of Contents license er BY Ey ol uuu a 2 Tay gere ei RERO ET m 4 IriStal
15. Q3 Close Figure 5 Data Screening window The Data Resolution drop down menu allows the user to select the desired resolution of the data to be analyzed There are only two data resolutions currently supported in Hydro FIT daily and monthly If an analysis of daily data is desired the user will select Daily from the drop down menu and likewise if an analysis of monthly data is desired The user must ensure that the Data Daily or Data Monthly worksheets exist when selecting a daily or monthly resolution respectively otherwise Hydro FIT will display an error message The Analysis Type drop down menu allows the user to choose whether to perform an annual daily or monthly extreme value analysis Peak Annual Daily or Peak Annual Monthly or a monthly frequency analysis using all data from a specific period of the year All Data Monthly Different options in the Data Screening panel will become enabled or disabled depending on the analysis type that is chosen The user can choose the data type from seven different types that are listed in the Data Type drop down menu Available data types include Rainfall Streamflow Storm Number Pressure Temperature Wind and Indices The data type that is chosen will determine whether Hydro FIT computes cumulative annual totals rainfall and storm number or annual averages streamflow pressu
16. creening window without performing any type of frequency analysis All unsaved menu selections and entries by the user will be lost Site Analysis The screen that appears after clicking the Site Analysis button within the Data Screening window is called the Site Analysis window and is shown in Fig 10 The Site Analysis window is organized into four parts that allow the user to select a valid site determined during data screening and view pertinent statistics associated with that site to display any of a variety of plots pertaining to the selected site or to all sites as a whole to select one or more standard distributions to display on the site pdf or growth curve plots and to view a table of exceedance intensities frequencies for various frequencies intensities using a user selected distribution For more detailed descriptions of each item in the Site Analysis window please refer to the numbered items below and the corresponding numbered features shown in Figs 10 13 and 18 1 All sites that meet the user supplied criteria in the Data Screening window are listed within the site drop box When the user selects a site from the list all associated statistics plots and exceedance table values are updated 2 All site statistics which includes the number of years used in the analysis total number of years available L moments and the discordance are listed here for the site selected in the sit
17. e drop box L moments include the L mean L1 L Scale L2 L Coefficient of Variation t1 L Skew t3 and L Kurtosis t4 These L moments help to describe the location dispersion skewness and peakedness respectively of a site s data distribution Discordancy represents a single statistic measured from the L moments of a site s data that determines whether that site is or is not an outlier If the L moments for that site are similar to the average L moments for all sites in the study then the discordancy will be low If the L moments for that site are significantly different then the discordancy will be high and the site may be labeled as discordant at which point the user may or may not decide to use the site s data in the current analysis The critical value of discordancy that determines whether a site is considered discordant is dependent on the number of sites in the analysis Table 2 shows this relationship as given by Hosking amp Wallis 1997 3 The user should click the Delete Site button if they would like to delete the currently selected site from the analysis Reasons for deleting a site may be due to a high discordance value or that the site frequency distribution does not fit the same standard frequency distribution as a majority of the others sites EB Site Analysis cai Good Sites MJR giis Data Frequency Analysis Contour Map 9 Edit Plot Sa intonsit T T T T T T T T T T T Site
18. eet the initial data screening criteria are plotted as blue circles and connected using a line graph Otherwise the plot will look similar to the plot in Fig 11 where the sites that meet the initial data screening criteria are plotted as blue and gray circles The blue circles represent those stations that also meet the index limits that the user set in the Data Screening window whereas the gray dots represent those sites that do meet the initial data screening criteria but do not meet the index limit criteria Various properties of this plot can be changed in the Edit Plots window which is discussed below 6 Clicking the t3 vs t4 radio button causes a plot similar to the one shown in Fig 12 to appear This plot illustrates values of t3 plotted against t4 for each site as light gray dots The black dot represents the site that has been selected in the site drop box In addition the t3 t4 relationships for all 2 and 3 parameter distributions are graphed The 2 parameter distributions are plotted as points while 3 parameter distributions are plotted as curves The closeness of a data point for an individual site to a particular distribution s point or curve is one method that can initially be used to determine if a particular distribution describes the site data well This is only a preliminary indication further analyses are required to determine the distribution that best describes the data for a particular site Various propert
19. ies of this plot can be changed in the Edit Plots window which is discussed below Bl Site Analysis Good Sites MJR r Exceedance Frequency Analysis T E is T Frequency Intensity r Site Statistics 800 00 Gamma Years Used 20 53 700 00 L Mean L1 516 9 L Scale L2 801 600 00 L CoV t1 0 155 500 00 Rainfall mm L Skew t3 0 128 Hw L Kurtosis t4 0 0713 300 00 Discordance 0 683 200 00 1 1 1 1 L 1 1 1 1 1 L 1950 4955 1960 1965 1970 1975 1980 1985 1990 1995 2000 Year Distribution Plots 2 Parameter Exponential Gumbel Normal Uniform Gamma 3 Parameter Gen Extreme Value Gen Pareto Gen Logistic Log Normal Pearson Ill Log Pearson Ill 4 5 Parameter Kappa Wakeby J a Save Print Plot Save as Table Figure 11 Example of a time series plot with the inclusion of an index analysis Frequency Analysis 5 Contour Map o o o x e 02 0 0 2 t4 L Kurtosis Figure 12 Graph showing specific values shapes and relationships curves of t3 vs t4 for various 2 parameter and 3 parameter distributions respectively Data are shown as gray circles while the selected site is shown as a black circle 7 Three options will be made available below the plot window when the user clicks the Frequency Analysis radio button PDF Non Exceedance and Exceedance
20. iled description of each option in the Data Screening window please refer to the numbered items listed below and the corresponding numbered features in Fig 5 1 Ananalysis cannot be initiated before an input file has been selected By clicking on the Browse button the user can select the location of the input file The only input file types that are allowed are Microsoft Excel files having the extensions xls or xlsx and netCDF files having the extension nc Once an input file is selected the user will click the OK button which will cause the path and filename of the input file to be displayed in the box near the top of the window is illustrated in Fig 5 most of the menus buttons and textboxes below will also become enabled the options that remain disabled depend on selections made in the options described below g Disclaimer License amp Disclaimer This software program Hydro FIT may not be copied and is licensed for use as a single unit Hydromet LLC provides Hydro FIT AS IS without any warranty or condition and specifically disclaims any implied warranties of title merchantability and fitness for a particular purpose and non infringement HydroMet LLC shall under no circumstances be liable for lost income or any special incidental or consequential damages due to the use of Hydro FIT The liability of HydroMet to you is limited to the replacement of certified copy s of Hydro FIT
21. ions on the PDF non exceedance or exceedance graphs by clicking the checkbox es adjacent to the desired distribution s 12 The Exceedance table on the right side of the Site Analysis window becomes enabled when the user selects the Frequency Analysis radio button The Exceedance table provides two types of information Clicking the Frequency radio button gives estimates of intensity in the second column of the table for various frequencies using the selected distribution Fig 16a Clicking the Intensity radio button gives estimates of frequency in the second column of the table for various multiples of the mean intensity for the selected site and distribution Fig 16b The selected distribution can be changed using the Distribution drop down menu The R value measuring the goodness of the selected distribution s fit to the data is given below the Exceedance table The parameters of the fitted distribution can be viewed by clicking the Parameters button below the R value an example of the resulting Parameters window is shown in Fig 17 Click the Close button to close the Parameters window Exceedance Exceedance 9 Frequency Intensity Frequency Intensity Distribution Distribution GEV Frequency Data mm x Mean Frequency 0 999 1054 1 700 0 969 0 998 994 1 600 0 945 0 995 913 1 500 0 909 0 990 849 1 400 0 859 0 980 784 1 300 0 794 0 950 695 1 200 0 713 0 900
22. lation temet leuc CM DD E S I DUM 4 Input File uuu MR 4 Application u UNE 8 Data Screening 8 Site Analysis EE E EEE EE Hasae 16 Contact Information eret a a a a a 27 Introduction Installation There are two components that are required to run Hydro FIT with its full capabilities the Hydro FIT executable file and the MATLAB compiler installation file The first step prior to running Hydro FIT is to install the MATLAB compiler The folder containing the Hydro FIT executable file also contains a file MyApplInstaller web exe that allows the installation of the MATLAB compiler an Internet connection is required to install this compiler An installation window will appear after clicking on the installation file Click the Next button and browse to the folder where the compiler will be saved Click Next in the next few windows until a window appears containing an Install button Click Install to install the application and click Finish when installation is complete Input File The next step is to create the input file which will contain all of the data to be analyzed by Hydro FIT This step is the most time consuming as much care must be taken in making sure that the input file is in the correct format It is required that the format of the input file be either a Microsoft Excel spreadsheet xls
23. nce 18 125 W 100 w 75 W Distribution Gumbel x Frequency 0 95 Distribution Plots 2 Parameter Exponential Gumbel Normal Uniform Gamma 3 Parameter Gen Extreme Value Gen Pareto Gen Logistic Log Normal Pearson Ill Log Pearson Ill 4 5 Parameter Kappa Wakeby Save Print Plot Save as Table Figure 18 Site Frequency Analysis window showing a contour plot that illustrates the 20 year exceedance event for a region using the Gumbel distribution 14 Refer to Fig 18 The distribution used to create the contour plot can be changed by selecting a different distribution from the Distribution drop down menu Once selected the Re Plot button becomes enabled Hydro FIT will redraw the contour map using the selected distribution when the user clicks the Re Plot button 15 Refer to Fig 18 The exceedance frequency displayed in the contour plot can be changed by selecting a different exceedance frequency from the Frequency drop down menu Once selected the Re Plot button becomes enabled Hydro FIT will redraw the contour map for the selected exceedance frequency when the user clicks the Re Plot button 16 The Edit Plot button opens a Figure Properties window that allows the user to edit various properties for each type of plot The options available in the Figure Properties window will be different for each plot The format of the Figure Properties window as
24. nformation button will open a window that displays a description of the global climate index that is currently selected in the drop down box above An example is shown in Fig 6 for the Madden Julian Oscillation MJO The lag in units of months between the input file data values and the values of the selected global climate index should be entered here If no lag is desired the user should enter or leave this space empty Table 1 List of global climate indices that are included in Hydro FIT Index Name Index Abbreviation SOI Southern Oscillation Index ONI Oceanic Nifio Index N12 Ni o 1 2 Region N3 Nifio 3 Region N34 Nifio 3 4 Region N4 Nifio 4 Region EPI ENSO Precipitation Index TNI Trans Nifio Index MEI Multivariate ENSO Index NAO North Atlantic Oscillation TNA Tropical Northern Atlantic Index TSA Tropical Southern Atlantic Index NTA North Tropical Atlantic Index AMO Atlantic Multidecadal Oscillation AMM Atlantic Meridional Mode CAR Caribbean SST Index PDO Pacific Decadal Oscillation NOI Northern Oscillation Index NP North Pacific pattern EPNP East Pacific North Pacific pattern WP Western Pacific pattern PNA Pacific North American pattern AO Arctic Oscillation AAO Antarctic Oscillation EAWR Eastern Asia Western Russia Index WHWP Western Hemisphere Warm Pool QBO Quasi Biennial Oscillation CIP Central
25. ng year and a duration in years in order to proceed with the extreme value analysis If a beginning year that is less than the initial year of the data is entered Hydro FIT will begin with the initial year of the data set If a duration greater than the duration of the data is entered Hydro FIT will analyze the entire dataset 8 10 11 12 13 14 The next two options in the Data Screening panel will be active if the user has chosen All Data Monthly from the Analysis Type drop down menu This option indicates that the user would like to perform a full frequency analysis on all data in the input file for a specific period of the year s In order to specify the desired period the user must choose a beginning month and a duration in months The duration can be any value that does not exceed 60 months The program will analyze the data by summing or averaging depending on the data type the data over the number of months indicated beginning with the specified initial month of each year If the desired duration is greater than 12 months the period for each year will overlap with the period s of other year s When analyzing a site s data the validity of the data for each year will be determined This means that there should not be any undefined data values within the range of data that is used for each year In the case of an extreme value analysis analysis type Peak Annual Daily or Peak Annual Mo
26. nput file if contour plots are desired is the site Characteristics worksheet An example of the content within the Characteristics worksheet is shown in Fig 2 As with the previous worksheets the first row of this worksheet should not be altered or an error message will appear The Characteristics worksheet contains three columns The first column contains the site ID or name which can be a number or string corresponding to the site information in the spreadsheet cells to the right The site ID s names in the Characteristics worksheet must be identical to the site ID s names that are contained in the Data worksheet of the input file if there are any site ID s names listed in the Characteristics worksheet that are missing or in addition to those in the Data worksheet an error message will appear The second and third columns of the Characteristics worksheet contain latitude and longitude information respectively for each site If any information is missing for one or more sites the option to view a contour plot in Hydro FIT is disabled Year Jan Feb Mar Apr May Jun Jul ep Nov Dec Aeroparque Buenos Aires 1980 0 3 Aeroparque Buenos Aires 1981 15 Aeroparque Buenos Aires 1982 0 7 Aeroparque Buenos Aires 1983 1 1 Aeroparque Buenos Aires 1984 0 9 Aeroparque Buenos Aires 1985 0 9 Aeroparque Buenos Aires 1986 0 2 Aeroparque Buenos Aires 1987 1 Aeroparque Buenos Aires 1988 0 4 Aeroparque Bueno
27. nthly a year is considered valid if all daily or monthly values respectively are valid during that year In the case of a regular frequency analysis analysis type All Data Monthly a year is considered valid if all data beginning with the Beginning Month specified for that year and extending through the specified duration are defined values not equal to the No Data value and or 999 If one value is invalid the entire year is considered invalid Hydro FIT determines the number of valid years for each site and if that number is less than the specified value given for Minimum Data yrs the site is not used in the frequency analysis A minimum data value less than five is not allowed as many of the statistical calculations cannot be performed with less than five data values The units of the data should be specified here The given units will be displayed within the y axis labels of various plots accessible through the Site Analysis window The Index Analysis panel allows the user to choose particular years to be used in the frequency analysis by specifying a range of values for any one of 39 different global climate indices The features used to conduct an index analysis can be enabled by clicking the checkbox next to Index Analysis The desired global climate index can be selected from this drop down menu A list of the climate indices that are available is given in Table 1 Clicking the I
28. of four variables present in the file These variables are latitude longitude precipitation and time The variable name that represents the latitude data must be either lat or latitude and the units must be degrees The variable name that represents the longitude data must be lon or longitude and the units must be degrees Precipitation data are currently the only type of input data that can be accessed from a netCDF file in Hydro FIT The variable name that represents the precipitation data must be either pr precip or precipitation The units of precipitation must be consistent with what is indicated in the Data Units text box which is described below otherwise the results produced by Hydro FIT will not be accurate A number must be specified for invalid or missing precipitation data this number is referred to as the Fill Value When Hydro FIT attempts to read ina missing or invalid data value it will not include this data value in the analysis The Fill Value must be specified by adding an attribute to the precipitation data titled _FillValue If a Fill Value is not specified in the file it can be specified in the Data Screening window as described below Otherwise a Fill Value of 999 will be used The variable name that represents the time data must be time and the units must be in days or months Units must be specified by adding an attribute
29. re temperature wind and indices of the data For example rainfall data are computed as cumulative totals while stream flow data are computed as average flows It is very important that the correct data type is selected otherwise the results may not be as expected The data type along with the specified data units also determines the y axis label for several graphs in the Site Analysis window The option that allows the user to indicate whether there are leap days included in the data is only available when the input file is a netCDF nc file and contains daily data By clicking Yes the user indicates that data are provided for February 29 of each leap year by clicking No the use indicates that data for February 29 of each leap year are not provided in the data set Choosing the wrong option will cause discrepancies in the results The final option in the Load Data panel is the ability to specify a value that represents an undefined data value in the input file Undefined data values are typically represented by the number 999 but if a different number is used the user must enter that number here otherwise the results that are shown in the Site Analysis window may not be correct The first two options in the Data Screening panel will be active if the user has chosen Peak Annual Daily or Peak Annual Monthly from the Analysis Type drop down menu The user must enter a beginni
30. s Aires 1989 3 3 Aeroparque Buenos Aires 1990 12 Aeroparque Buenos Aires 1991 2 3 4 Aeroparque Buenos Aires 1992 0 2 Aeroparque Buenos Aires 1993 0 2 Aeroparque Buenos Aires 1994 15 Aeroparque Buenos Aires 1995 2 Aeroparque Buenos Aires 1996 3 2 Aeroparque Buenos Aires 1997 1 7 Aeroparque Buenos Aires 1998 2 5 Aeroparque Buenos Aires 1999 1 3 Aeroparque Buenos Aires 2000 1 8 3 Aeroparque Buenos Aires 2001 2 8 24 Aeroparque Buenos Aires 2002 29 Data Monthly Characteristics Figure 1 Excel input file showing an example dataset in the Data Monthly tab A B C SitelD Latitude Longitude Aeroparque Buenos Aires 34 56 58 52 Azul Aero 36 75 59 83 Bahia Blanca 38 72 62 27 Benito Juarez 37 67 59 78 Bolivar 36 18 61 07 Buenos Aires 34 6 58 38 8 Cordoba 31 42 64 18 9 Coronel Pringles 37 98 61 35 10 Coronel Suarez 37 45 61 93 11 Dolores 36 32 57 67 12 El Palomar 34 62 58 58 3 Junin 34 58 60 95 4 La Plata 34 92 57 95 Laboulaye 34 12 63 4 Mar del Plata 38 57 55 Marcos Juarez 32 7 62 1 Nueve de Julio 31 65 68 4 Olavarria 36 9 60 33 Parana 31 73 60 53 Pehuajo 35 8 61 9 22 Pigue 37 62 62 42 23 Pilar Obs 31 67 63 88 4 Rosario 32 95 60 67 q SN Ou gt Data I 3 4 Figure 2 Excel input file showing an example of the Characteristics tab If the input file is in the form of a netCDF file then there must be data pertaining to a minimum
31. sociated with the contour plot is shown in Fig 19 Figure Properties Markers Axis amp Colorbar Properties X Axis Y Axis Minimum 66 9326 Minimum 34 9355 Maximum 60 6891 Maximum 31 5067 Axis Font Contour Properties Name Arial Colormap jeti Size Style normal Contours Colorbar Numbers Minimum 524 311 Maximum 744 385 Font Arial Size Style normal Colorbar Label Font Arial Size Style bold Cancel Reset Defaults Figure 19 The Figure Properties window that is associated with the contour plot 17 18 The Save Print Plot button opens the current plot as a separate window see Fig 20 for an example where the user can either save the plot in one of several formats or print the plot by clicking on the save or print button respectively at the top of the figure window The user is also allowed to zoom in or out or to pan along the x and y axes by clicking the appropriate button The zoom and pan options are not available for the contour plot the user must use the Edit Plot window that is accessible from the Site Analysis window in order to change the view of the contour plot The Save as Table button opens a window Fig 21 that allows the user to save the current chart as a text file The information included in the text file in addition to the actual plotted data depends on the type of plot being saved Additional information can include the site ID the n
32. tion window Site Coronel Suarez Index PDI 1 0 5 0 Madden Julian Oscillation 20E MJO9 Save Print Plot Save as Table Close Figure 7 Index Analysis window No file selected Figure 8 Index Analysis Save as Table window Info txt Notepad ES File Edit Format View Help Bite ID Coronel Suarez Global Climate Index Madden Julian Oscillation 20E MJO9 Number of Years Used 34 Index Data 0 20054 3 725 0 35952 0 5 0 22256 0 125 0 06244 1 525 0 78375 2 175 0 22161 1 4 0 064464 2 625 0 24399 5 45 0 50935 1 6 0 086786 0 375 1 1185 2 0 34946 0 125 0 41464 1 975 0 43887 2 55 0 080298 3 25 0 03881 2 625 0 3472 0 9 1 0476 2 85 0 59762 1 125 0 24185 1 575 0 92065 0 95 0 63976 2 025 0 17774 1 05 0 024464 0 2 0 56506 0 425 0 76429 2 175 0 28583 4 325 1 4483 4 125 0 085714 4 075 Figure 9 Example of index analysis data saved as a text file Information includes the site ID the selected global climate index number of years used and plotted values of the climate index and the corresponding data 16 The upper limit of the range of the selected global climate index is entered here All years during which the average value of the selected global climate index during the months included in the frequency analysis while also taking into account the desired lag exceeds the upper limit will not be included in the frequency
33. to the time data titled units Three formats for the units attribute are acceptable while any deviation from these formats will cause errors to occur when attempting to load the input data into Hydro FIT All time data included in the input file are referenced according to the reference times given in the three formats below therefore it is important to have all references at the correct location in each format The acceptable formats are the following 1 hours since 1800 01 01 00 00 0 0 2 days since 1800 01 01 3 months since 1800 01 The first five characters when using Format 1 must be hours characters 13 16 must represent the reference year characters 18 19 must represent the reference month characters 21 22 must represent the reference day and characters 24 25 must represent the reference hour As hourly data are not yet supported in Hydro FIT the time increment of the data must be 24 hours or an error will occur The first four characters when using Format 2 must be days characters 12 15 must represent the reference year characters 17 18 must represent the reference month and characters 20 21 must represent the reference day The first six characters when using Format 3 must be months characters 14 17 must represent the reference year and characters 19 20 must represent the reference month Another optional attribute that can be included with the
34. umber of years used in the analysis number of discordant sites number of non discordant sites site L moments and distribution L moments Information that is saved specifically for the contour plot Fig 22 includes the number of columns and rows of data the x and y coordinates of the center of the lower left pixel the horizontal and vertical cell sizes the no data value and the results which list the pixel data top to bottom and left to right from south to north and from west to east The user also has the option to save the exceedance table as a text file if the Frequency Analysis radio button is selected After clicking the Save as Table button a window will appear in which the user can select the object to be saved The user then chooses the location at which to save the file and clicks OK to save the text file uuu jejujey Figure 20 Example of the Save Print Plot window 19 The Close button closes the Site Analysis window and reactivates the Data Screening window No file selected Figure 21 Site Frequency Analysis Save as Table window XLLCENTER 67 172 YLLCENTER 35 174 LATITUDE_CELLSIZE 0 25035 LONGITUDE_CELLSIZE 0 25017 NODATA_VALUE 999 RESULTS 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 999 304 91 304 91 304 91 304 91 304 91 304 91 304 91
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