Panoply
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1. show a NaN not ber tas in eem_atm_ym kala S OW a a no a num er File Edit View Bookmarks Plot Window Help GEJA f j Plot yY Arayi e na Dataset eem_atm_ym nc Slice Time 1 of 1 3999 12 31 500 da Variable tas 2m temperature i Units K X Axis longitude E 0 0 3 750 7 500 11 250 15 000 18 750 22 500 26 250 30 000 33 Avg 87 159 257 6 257 6 257 7 257 7 257 8 257 8 257 8 257 8 257 9 257 5 a 83 479 260 7 261 0 261 3 261 4 261 5 261 5 261 5 261 5 261 4 258 3 79 777 266 4 267 7 268 5 268 5 265 1 265 0 266 7 266 6 266 4 258 7 76 070 274 5 275 4 275 8 275 9 275 7 274 9 274 0 273 3 272 9 260 7 72 362 277 9 278 3 278 3 278 2 277 7 276 8 275 9 274 9 273 8 262 3 68 652 278 2 278 4 278 4 277 7 276 6 273 5 272 3 271 3 270 6 264 1 64 942 278 8 273 2 272 2 271 6 271 2 266 4 61 232 280 5 274 1 274 6 274 4 274 2 269 4 57 521 281 1 277 5 277 0 277 7 277 1 272 6 53 810 282 1 281 0 280 4 279 5 278 6 275 0 50 099 283 6 281 7 281 2 281 1 281 6 277 2 gt 46 389 285 8 283 5 283 6 284 6 286 0 280 2 2 42 678 288 4 288 5 288 1 286 8 287 0 284 0 38 967 289 6 291 4 292 0 289 5 290 1 287 2 5 35 256 290 3 292 8 292 5 291 8 291 6 289 1 u 31 545 292 8 294 4 294 5 293 5 293 6 291 5 327 833 296 1 295 5 295 3 295 0 295 7 294 4 gt 24 122 298 7 295 0 294 7 295 1 297 0 296 6 20 411 299 4 295 5 294 3 295 02. in the example above In the default case variable 1 is subtracted from variable 2 However under the Array1 tab you can choose other ways of combining variables with each other Array 2 Array 1 Array 2 Array 1 Array 1 Array 2 Array 2 Array 1 Array 1 Array 1 x Array 2 Array 1 Array 2 Array 2 Array 1 Array 2 Further Options are Averaged Arrays arithmetic mean at each point set to NaN if either value is NaN Combined Arrays arithmetic mean at each point set to valid value if only one value is NaN useful for swath data which may not overlap or overlap only slightly Vector Magnitude square root of the sum of both arrays direction is indicated by arrows e Comparing different variables of same units Precipitation minus evaporation during the Eemian Combination plots can also be applied to different variables of same units Shown here is the net precipitation precipitation evaporation for the Eemian Generating this kind of combination plot follows the same procedure as described above File Edit View Bookmarks Plot Window Help Plot Y Array 1 V Array 2 Net precipitation precipitation evaporation during the Eemian large scale precipitation Note the small data range Fischer et al 2010 This can be adjusted in the Scale tab by changing the format to float e g 1f or exponential e g 1E in order to depict the difference large scale precipi
3. 2010 dataset Combination Plots One very attractive option is to relate variables to each other by generating combination plots This is meaningful for example in situations in which one variable is known for different time slices e g surface temperature for the Last Glacial Maximum vs present day Alternatively in case two variables have the same units differences can be plotted at one time instant I Creating a Plot e g precipitation vs evaporation In the following the different possibilities for combination plots are illustrated by three examples from the Fischer et al dataset 2010 e Comparing a variable between two data sets e g Temperature anomaly between Eemian and Holocene e Comparing different variables in the same dataset e g Precipitation evaporation during the Eemian e Combined vectors e g u and v velocity e Comparing a variable between two data sets Temperature anomaly between Eemian and Holocene The following example serves to illustrate the general procedure 1 Having loaded the relevant datasets annual means of Eemian eem_atm_ym nc and annual means of Pre industrial pri_atm_ym nc you need to plot the variable of both datasets separately as described in Il i e the 2 m air temperature tas of the Eemian and of the Pre industrial Loading both datasets pri_atm_ym nc and _ eem_atm_ym nc from Fischer et Fle pr_atm_ymne al 2010 dataset NetCOF
4. K 267 0 lt gt 303 3 230 7 248 9 285 2 Grid Spacing lt none gt wl Style Solid x Grid Color MII Opacity 50 Overlay Name Earth outline 7 Invert Or Cor MI Opcty 0 Under the Map array you have furthermore the option to put a grid on your map using Grid Spacing ranging from 0 25 to 90 0 but however note that this grid is a display option and not identical to the model grid Choose a specific Style Grid Color and Opacity Decide for an Overlay that determines the way in which continents appear on your map Earth outline is the default setting and shows the basic continental borders More detailed continental borders are shown by Earth_MWDB3 outline Earth Mask will let all continents appear black and inverted tick Invert does the opposite and masks all oceans black With Border_MWDB3 outline you will see all national boundaries You can decide for a specific Overlay Color and Opacity of the lines or filled areas 2m temperature ee SF es SS SS SS m a 2m temperature 2m temperature K 212 5 230 7 248 9 267 0 285 2 303 3 2m temperature K 212 5 23 7 248 9 267 0 285 2 3033 array s Scale Contours amp Vectors Map Labels Projection Equirectangular Grid Spacing 10 0 e Style Solid Center on Lon 90 0 E Grid Color Opacity 50 Std Par
5. NetCDF files in the Format column In this case you can 1 Right click Link in the URL model column and choose Copy Link Address in the drop down menu 2 In the File menu choose Open Remote File after which a window appears Open Remote Dataset Here you can paste the copied link address This will subsequently list the files with its variables in the Sources window as shown above Open Remote Dataset Enter the URL of a remote dataset to open http fstore pangaea de Publications Fischer Note This works for uncompressed files only e g nc If compressed e g nc gzip you need to uncompress the file first see above In case you just launched Panoply and want to access a remote file select Cancel in the Open window upon which the Sources window will appear ll Creating a Plot Creating two dimensional plots One advantage of Panoply is the variety in which scientific data can be plotted For opening a local file or accessing a remote dataset from the web refer to Section Starting again from the Sources window the table should now list all the variables contained in the dataset however note that not all variables are plottable The latter are marked by a long dash in the Type column Plots can be created in different ways 1 Select a variable in the list then choose Create Plot in the upper left corner Create New Plot mm a 5 gt i in
6. in the Select Plot Type window Under Arrays you can specify the longitude in E along which your vertical plot shall be displayed alternatively decide for the zonal average Avg The I _a 10 2 16 2 Data Min 1 9 Max 28 3 example to the right shows zonal averages of seawater ia SSS SSS N OT Array s Scale Contours amp Vectors Grid Labels potential temperature plotted latitude versus depth aa mere Vertical profile of thetao the potential temperature of seawater with latitude on the x axis Fischer et al 2010 dataset eem_ymm_mpiom nc 7 ET Fa i Da h A User s Guide to Panoply 6 Next to the Plot tab at the top there is an Array1 tab Here you can find the actual values of the variable Besides the long name of the data set the variable 2 m air temperature and units K this table lists the temperature for each resolved latitude and longitude You have the option to focus on a particular part of the dataset see below with the option to copy it to somewhere else In case the variable you have chosen covers only a small range you can modify the number of decimal places by changing Format below the Array table to floating 1f exponential 1E and generic 1G The latter chooses between exponential or floating whichever is shortest Regions where grid cells have no available data e g SST over continents will
7. 298 4 297 9 16 700 298 9 296 9 294 9 295 2 298 0 298 9 12 989 298 6 297 2 295 3 296 4 298 0 299 7 9 278 298 4 296 8 296 2 298 6 300 4 299 9 5 567 299 2 298 1 297 8 298 5 299 5 299 5 1 856 300 3 299 4 298 9 296 3 295 5 298 9 1 856 300 5 298 4 298 9 296 1 294 0 298 8 5 567 299 8 296 9 298 4 297 5 295 1 299 2 9 278 299 0 295 0 296 6 297 5 295 7 299 5 12 989 297 5 293 9 296 0 298 3 297 1 299 1 16 700 295 4 y y 296 2 298 4 300 5 299 4 298 4 Lom cer ERE pii mica Array s Scale Contours amp Vectors Map Labels i mA 2 m air temperature dataset for each resolved latitude Plot Map v of Array 1 Only 7 Interpolate A aa and longitude Fischer et al 2010 Adjust the data Time 1 of 1 3999 12 31 50 2 j format under Format below the Array table X fz tas in eem_atm_ym L File Edit View Bookmarks Plot Window Help In the Array s tab on the bottom of the Plot i window you have the option to plot a one 2m temperature dimensional zonal average plot For instance 2 m air temperature as function of latitude 2m temperature 0 0 Latitude N Data Mn 212 5 Max 303 3 P a Laan Amay s Scale Contours amp Vectors Zonal Grid Labels Zonal Averages DY Array 1 Only 7 Interpolate Zonal average of the 2 m air temperature e during the Eemian Fischer et al
8. bottom of the respective publication page This will open a table scroll down with files listed as part of the dataset In the most right column Format you can see in which file format the data is presented Files can appear in compressed nc gzip in the Format column or uncompressed nc or netCDF form If compressed the files need to be downloaded and saved to the computer first to be then opened as a local dataset while uncompressed files can be loaded directly into Panoply 18 28 30 40 50 sE 78a sO File Experiment Parameter Abbrev Unit URL model Size kByte Format eem_atm_ym nc atmosphere model ECHAM5 Eem 125 ka yearly means evaporation evspsbl kg m 2s Link 115 netCDF large scale precipitation pr kag m 2s mean sea level pressure psl Pa 2m temperature tas K 10m u velocity uas m s 10m v velocity vas m s eem_atm_ymm nc atmosphere model ECHAM5 Eem 125 ka monthly means same as above Link 1300 netCDF hol_atm_ym nc atmosphere model ECHAM5 Holocene 6 ka yearly means same as above Link 115 netCDF hol_atm_ymm nc atmosphere model ECHAM5 Holocene 6 ka monthly means same as above Link 1300 netCDF pri_atm_ym nc atmosphere model ECHAMS5 pre industrial yearly means same as above Link 115 netCDF pri_atm_ymm nc atmosphere model ECHAMS5 pre industrial monthly means same as above Link 1300 netCDF eem_ym_mpiom nc ocean model MPIOM Eem 125 ka yearly means temperature surface 100m 485m 960m 2080
9. 5 3 7 9 Data Mn 0 0 Max 13 1 _ AAA A CEREA Scale Contours amp Vectors Map Labels Scale Range Min 12 0452 Max 11 4719 Center on 0 Fit to Data Units m s X v Always fit to data E Scale is logarithmic Scaling Factor 10 o Color Table blank CPT Divisions Majar 5 Minor 2 Fill Color y Outer Shape Triangle v Tick Label Format 1f v Scale Caption Default Other SCALE CAPTION Tick Label Size 11 11 Users Guide to Panoply Ii Puxalian Plc i YO9OTINA a INT II Ureating a Fiol ua n cer atm ym Sass Combination plots can also be plotted as zonal File Edit View Bookmarks Plot Window Help plot amay Amay2 averages Shown here is the magnitude of the 10 m wind velocity during the Eemian Combined 10m u vand v velocity Sqrt 10m u velocityY 10m v velocity m s 0 0 Latitude N Data Mn 0 0 Max 13 1 7 Interpolate Array 1 uas Array 2 vas Time 1 of 1 3999 12 31 50 Time 1 of 1 3999 12 31 50 Time Latitude array Hovmoller diagram A Hovmoller diagram displays a time evolution of a variable versus latitude or longitude Hence time must be included as a plottable dimension in the Type column In Panoply a time evolution of a variable can be plotted only versus latitude Hence choose Time Lat in the Select Plot Type window and a Hovmoller di
10. INTERDYNAMIK Panoply A Tool for Visualizing NetCDF Formatted Model Output User s Guide to Panoply C O N T EN T SS Getting to Know Panoply The netCDF File Format What is Panoply Installing Panoply Open Panoply and load a dataset access to model data in PANGAEA Accessing a local dataset Accessing a remote dataset Il Creating a Plot Creating a two dimensional plot Latitude longitude Map Vertical profile Combination plots Comparing a variable between two datasets Comparing different variables in the same dataset Combined vector plots Time latitude plot Hovm ller diagram Ill Modifying the Plot Area scale Contours and vectors Map Global map projections Regional map projection Continent overlays and grids Labels Saving plots and preferences Getting to know Panoply The following documentation will focus on the Windows operating system XP Vista Windows 7 For further information on the use of other operating systems and general guidance consult the official program website of Robert Schmunk from the NASA Goddard Flight Space Center at http www giss nasa gov tools panoply An independent guide which is based on an older version of Panoply is available from http www meteor iastate edu classes mt452 EdGCM Documentation EdGCM_Panoply pdf The NetCDF File Format The Network Common Data Format NetCDF nc represents a standard format for array oriented scientific data espec
11. able M panoply GCT using Save file as in the File menu You can choose between the PNG GIF E Invert color table JPEG PDF PNG postscript and TIFF format Fill Color i Outlier Shape Triangle Divisions Major 54 Minor 2 3 Tick Label Format 1f w Size 11 Reset All Prefs
12. agram should appear The following example shows the crop fraction changes over 7500 years as dependent on latitude Lemmen 2009 World distribution of land cover changes during pre and protohistoric times and estimation O_O of induced carbon releases doi 2 See Pot Window Hap 10 1594 PANGAEA 737958 DI crop fraction Latitude N 94 0 01 7999 01 649901 4999 01 m9901 1999 01 Date Time d crop fraction Ea gt 0 0 0 1 02 04 0 5 0 6 Hovm ller diagram of pre and says see Contours crid taia protohistoric crop fraction over PNI PRIN mm e A 7450 years as function of longhater _i of718 degree_est 7 Awg latitude Lemmen 2009 I ser s Guide to Panoply 12 users Guide tO ranopli y IZ es gt i Ill Modifying the Plot Area Array s As introduced earlier in the Array s tab you have the possibility to combine datasets in various ways and create a zonal a average plot besides general 2 dimensional maps However there are more powerful tools that help you to optimize the illustration of your plot in order to emphasize important details Scale In the Scale tab you have several options to modify your plot You can adjust the Scale Range and set minimum and maximum values of the data range Min and Max for which you need to uncheck Always Fit to Data or choose Center data on 0 or Scale is logarithmic clearly depending on your data range Fit to data will plot the defau
13. allel 0 0 Overlay Name Invert Overlay Color MII Opacity 80 10 grid spacing Projection Equirectangular Grid Spacing B00 jv Style Solid Center on Lon 90 E Grid Color I Opacity 50 Std Parallel 0 0 Overtay Name Borders_MWDB3 outine Inver Overlay Color MI Opacity 80 30 grid spacing with Border_MWDB3 outline to depict national boundaries 15 User s Guide to Panoply 2m temperature 2m temperature 2m temperature K 2m temperature K 212 5 230 7 248 9 267 0 285 2 303 3 212 5 230 7 248 9 267 0 285 2 303 3 Array s Scale Contours amp Vectors Map Labels Array s Scale Contours amp Vectors Map Labels Projection Equirectangular X Grid Spacing lt none gt w Style Solid v Projection Equirectangular o Grid Spacing lt none gt w Style Solid X Center on Lon 90 E Grid Color MS Opacity 50 Center on Lon 90 E Grid Color 3 yh Opacity 50 Std Parallel 0 0 Overlay Name Earth mask Invert Std Parallel 0 0 Overlay Name Earth mask y V Invert Overlay Color EE Opacity 80 Overlay Color ME Opacity 80 Overlay Earth mask Overlay Earth mask inverted Additional color tables and continent overlays can be downloaded from the Panoply home page http www giss nasa gov tools panoply and added to the Panoply library by placing them in the according d
14. ax 303 3 Data Mn 212 5 Max 303 3 Robinson Winkel Tripel Bird s eye view projections 2m temperature 2m temperature 2m temperature K 2m temperature K lt a gt lt gt 212 5 230 7 248 9 267 0 285 2 303 3 212 5 230 7 248 9 267 0 285 2 303 3 Vertical Perspective Azimuthal Equidistant Center on 90 E 60 N Center on 80 E 30 N 2m temperature Azimuthal Equidistant Center on 80 E 30 N Radius 50 2m temperature K 212 5 230 7 248 9 267 0 285 2 303 3 Data Mn 212 5 Max 303 3 User s Guide to Panoply 14 III Modifying the Plot Area Regional map projection A very useful option is to zoom in a particular area You can do this by selecting the projection Equirectangular Regional under Projection again in the Map menu The size of this window you can determine via Width and Height and as before you can optimize the central latitude and longitude Center on Lon Lat The example on the right shows the 2 m air temperature Fischer et al 2010 plotted for parts of Africa Europe and Asia Center on Lon 90 0 E 30 0 N Width 180 0 Height 80 0 Note If you choose Height and Width not in proportion to each other you can adjust these with Fix Proportions Grids and Overlays gt gt Pata Lis ai S tas in eem_atm fmt File Edit View Bookmarks Plot Window Help 2m temperature 2m temperature
15. classic format netcdf http store pangaea de Publications FischerN JungclausJH_2010 pri_atm_ym nc dimensions ion 96 lat 48 time UNLIMITED 1 currently variables float evapabl timel lat 48 lon 96 gaussian float pr time 1 lat 48 lon 96 long_name large scale precipitation sunits kg m 23a tcode 142 int ttable 128 int grid_type gaussian float pal time 1 lat 48 10n 96 mean sea level pressure Hong sane tion ermeleter C and plotting each variable TZ Ust only plottabie variables separately 2 m air temperature Pre industrial lt j ie 2307 248 9 267 0 Piot Name t in pri_atm_ym2 Contour Locations Major scale ticks only lt 75 Plot Tite 2m temperature Pre industria Contour Color E Opty 75 Fast Plot Sutrtie Show min max footnote Show projecton footnote User s Guide to Panoply 8 2 Inthe Sources window depending on which of the variables has been plotted last in step 1 e g tas from the Eemian eem_atm_ym nc click Combine Plot next to Create Plot in the upper left corner Now you will be given a choice of variables that have also been plotted which can make a combination plot with Having selected tas from the Eemian choose tas from the Pre industrial pri_atm_ym in the Combine Plot window which will produce a combination plot of the 2 m air temperature o
16. en in ia Panoply datasets a mi Recent tems The Open window showing the eem_atm_ym dataset atmosphere model CHAMS5 Eem 125 ka annual means from Fischer et al 2010 Dateiname eem_atm_ym nc Dateityp All readable files Upon choosing a dataset the corresponding variables are listed in the Sources window The Sources window listing the eem_atm_ym dataset from Fischer et al 2010 Edit View Bookmarks Plot Window Help 2 evaporate Variable tas The Sources window lists the file s you selected with the correspondent variables e g tas for the air temperature 2 meters above the ground The Type column displays the dimensions in which the variables are given e g longitude and latitude for the 2 m air temperature You have the option to add further files by clicking Open File in the File menu The right panel shows details of the variable selected on the left i e 2 m temperature in units Kelvin etc Apart from the plottable physical variables Panoply lists latitude and longitude as variable you can choose List only plottable variables at the bottom of the Sources window and Panoply will only plot pure physical variables You have the option to remove a dataset by selecting Remove or Remove all in the upper right corner of the Sources window Accessing a remote dataset Uncompressed files will appear as simple nc
17. f both time slices see below Combining arrays of different datasets with each other Be patient it can take some time for Panoply to produce a plot since the required data is only loaded when a plot is created You see if a plot is being produced at the bottom of the Sources window Combination plot of temperature difference between the Pre industrial and Eemian Note Panoply does not automatically adjust the titles of the plot You need to adjust the plot title under Labels in the field below the plot area also see section III Modify the Plot Area Also note the colorbar with white in the exact center F Variable tas 277383 3332 gt A ROSA AS Li N om te CR CAI AS hom i kn ka bor ke 5 S tas in eem_atm ym File Edit View Bookmarks Plot Window Help plot Y Array 1 Xi Amay2 2m Temperature Pre industrial Eemian Array s A Scale LA Contours amp Vectors m p y Plot Name tas in eem_atm_ym Labels Typeface SansSerif v Plot Tite 2m Temperature Pre industrial Eemian Background C X Show min max footnote E Show projection footnote Especially when plotting anomalies it may be useful to choose a color bar under Scale that has white in the exact center in order to depict regions of no difference e g red indicating negative anomalies and blue indicating positive anomalies as shown
18. gitude plots in the menu Map under Projections you can choose amongst over 70 projections As mentioned earlier you can load additional projections into the Panoply folder Regional projections can be realized using the Equirectangular Regional projection see below Shown here are some examples of global map projections In all cases also for the default Equirectangular projection you can choose a longitude on which you would like your projection to center on Center on Lon E and in case you choose a bird s eye view projection such as Vertical Perspective Azimuthal Equal Area or Azimuthal Equidistant you can additionally choose a central latitude Center on Lat N as well as how much you d like to zoom in under Center Distance in the Vertical Perspective and Radius in the Azimuthal Equidustant Equal Area projection Coordinates are given in North and East for western longitudes and southern latitudes you need to add a minus sign so 00 E and 50 N corresponds to 50 W and 50 S respectively III Modifying the Plot Area 2m temperature An ensemble of global map projections 2m temperature K 212 5 230 7 248 9 267 0 285 2 303 3 Data Mn 212 5 Max 303 3 Mollweide 2m temperature 2m temperature a a 2m temperature Q gt 2m temperature K 212 5 230 7 248 9 267 0 285 2 303 3 212 5 230 7 248 9 267 0 285 2 303 3 Data Mn 212 5 M
19. ially model data Most applications within Panoply will deal with this file type NetCDF files are self describing that is datasets include information about the data they contain They are furthermore portable meaning the data is represented in a form that can be accessed by computers with different operating systems What is Panoply Panoply is a graphical visualization tool which is able to produce two dimensional plots of geographically referenced data Generally Panoply can Plot longitude latitude arrays as global or regional maps Plot zonal average curves of longitude latitude data Plot latitude vertical arrays Plot time latitude arrays i e Hovm ller diagrams Combine two sets of data by differencing summing or averaging them Use a range of 40 color tables and over 75 map projections Save plots in a variety of file formats and export animations as AVI or MOV videos Besides the netCDF format Panoply can recognize HDF Hierarchical Data Format and GRIB Gridded Binary file formats Installing Panoply The Panoply software can be obtained from the NASA website at http www giss nasa gov tools panoply Depending on the operating system you use Panoply can be downloaded for Macintosh MS OS X Windows and Linux Generic operating systems The following documentation including the download and retrieval of datasets assumes the use of Windows In order to install Panoply 1 Go to ht
20. irectory Labels Under the Labels tab you can modify all the labels in the plot window You can determine a Plot Name which what your plot will be saved as configurations to Plot Title and Plot Subtitle will appear in the plot area itself for instance 2 m temperature as Plot Title and Eemian as Plot Subtitle or anything that suits you Change the font of the labels under Labels Typeface and the background color to black if you prefer under Background You can also choose to show or not show minimum and maximum of the scale bar Show min max footnote and details about the map projection Show projection footnote in the lower left of the plot window Saving Plots and Preferences ne laal 2 At any point you can save any your plotting preferences in the Window File Edit View Bookmarks Piot Window Help i AllPlots Scale C amp V Lon lat Proj menu under Preferences concerning general adjustments All Plots Scale Contours and Vectors Longitude Latitude Projection and settings Nice Mamici aa for other kind of plots Other for vertical profiles and time latitude plots Equally you can reset all settings to default under Reset all Prefs at the Min Max Always fit to data range E Show min max footnote E Logarithmic scale bottom of the Preferences window You can save images in the Plot window Color T
21. lt settings Concerning the format you can adjust Tick Label Format with 1f 1E 1G 2f 2E and so on The Color Table option lets you choose among many different color tables currently 49 to plot your data with the option to invert colors You can decide for a white background by selecting Blank CPT or two end member color tables e g blue red which are suitable for plotting anomalies e g temperature anomaly The Units are also displayed By changing the Scaling Factor you can increase or decrease the data range Details of the scale bar can be adjusted with Divisions Min and Max and the Tick Label Size which determines the font size of the annotations on the scale bar Contours amp Vectors Under Contours amp Vectors you can choose to display contour lines and alter their style Contour Style and add or remove contour labels Show Labels decide to also show minor sale ticks Contour Locations and change their appearance Contour Color and Opacity In case you have a vector array such as the combined 10 m u and v velocity see above Combined Vectors section II you can adjust the Vector Style Color and Opacity and decide to which direction positive negative values point i e change the direction of the arrows You can also adjust the length of the arrows Scale Length Maps Global Map Projections For 2 dimensional latitude lon
22. m 3070m 5170m thetao C Link 2600 netCDF sea surface salinity yearmean only sss psu sea ice cover sic frac sea ice thickness sit m eem_ymm_mpiom nc ocean model MPIOM Eem 125 ka monthly means same as above Link 28000 netCDF hol_ym_mpiom nc ocean model MPIOM Holocene 6 ka yearly means same as above Link 2600 netCDF hol_ymm_mpiom nc ocean model MPIOM Holocene 6 ka monthly means same as above Link 28000 netCDF pri_ym_mpiom nc ocean model MPIOM pre industrial yearly means same as above Link 2600 netCDF pri_ymm_mpiom nc ocean model MPIOM pre industrial monthly means same as above Link 28000 netCDF List of datasets and variables which are contained in the publication of Fischer et al 2010 Accessing a Local Dataset In many cases the files are compressed and appear as nc gzip in the Format column which stands for GNU zipped netCDF files In this case you will need to 1 Save the relevant files by right clicking Link in the URL model column 2 Extract these files with appropriate software e g BitZipper 3 Once uncompressed you can open the dataset in Panoply Launch Panoply as described above 4 First an Open window will appear From the File menu choose Open file to load the relevant dataset Panoply will only list files which it can open according to the file extension netCDF HDF GRIB The first example file of the Fischer et al dataset as listed in Table 1 would be listed as follows Such
23. mputer If you dont have Java installed an error message will appear when trying to start Panoply On Windows Java may not be pre installed so you need to download Java from the Java website htip www java com Open PANOPLY and load a dataset After double clicking the panoply exe icon Panoply will open you may be prompted with a security warning simply choose Run and Panoply will open Datasets can now be loaded from local sources on your computer or accessed via the world wide web In the following the retrieval of a dataset will be illustrated by the access from the Pangaea database platform Access to model data in PANGAEA The following describes how to visualize model data that is stored in Pangaea 1 Go to the PANGAEA website hito www pangaea de and look for the specific dataset of interest in the search engine Usually you will find the published data as supplementary material to an article For instance Fischer N Jungclaus JH 2010 Three time slice simulations of the Eemian the mid Holocene and a pre industrial control run with the coupled atmosphere ocean model ECHAM5 MPI OM doi 10 1594 PANGAEA 757004 Which is a supplement to Fischer Nils Jungclaus Johann H 2010 Effects of orbital forcing on atmosphere and ocean heat transports in Holocene and Eemian climate simulations with a comprehensive Earth system model Climate of the Past 6 155 168 2 Select View as HTML or Download Dataset at the
24. ng the Interpolate box to the right under the Arrays tab If unchecked the data will appear as gridded cells i e the model resolution In case the variable can be plotted in more than two dimensions you will be prompted to choose between three possibilities e g Time Lat Time Lon or Lon Lat Fema j Plot Amayi x i 2m temperature a n Lh tas in eem atm ym Fie Edt View Bookmarks Plot Window Help Pit Ammayi 2m temperature Eemian 212 5 230 7 248 9 267 0 285 2 303 3 E A PN Array s Scale Contours amp Vectors Map Labels Plot Map gt of Array 1 Only E merite Array 1 tas Time 1 of 1 3999 12 31 50 2 m air temperature tas K during the Eemian Fischer et al dataset eem_atm_ym nc 2010 hom displayed in interpolated left or non interpolated ne 1 f S823 form as gridded cells bottom ements ale Contours amp Vectors Map Labels i Vertical Profile A variable can also be plotted in latitude or longitude versus depth or altitude Thetao potential temperature from the Fischer et al 2010 dataset this time eem_ymm_mpiom nc has three dimensions latitude longitude and depth lat lon and vert so three kinds of different plots can be produced latitude longitude latitude depth and longitude depth When creating a plot choose between Lat Vert or Long Vert
25. tation evaporation kg m 2s Adjust the scale bar 4 0E 05 7 9E 05 1 2E 04 1 6E 04 Units kg m 2s V Always fit to data _ Scale is logarithmic Scaling Factor 104 Color Table panoply GCT X E Invert colors Fill Color z y Outlier Shape Triangle z Scale Caption Default Other SCALE CAPTION II Creating a Plot e Vector plots combined 10 m u and v velocity Vector Magnitude under the Arrays tab displays the magntiude of a vector field as a filled contour plot Additionally the local direction of the vector field is indicated by the arrows The following example shows a vector field as combination of the u and v velocity components during the Eemian S uas in eem_atm_ym File Edit View Bookmarks Plot Window Help Plot Amay1 Array2 Combined 10m u vand v velocity Sarto velocity ion vveloo ma 0 0 2 6 5 3 7 9 i i Data Min 0 0 Max 13 1 OO N AID Gee A Array s Scale _ Contours amp Vectors Map Labels 2 dimensional plot of vector magnitude colors Piot Map Vector magnitude gt I7 iteroze as well as vector length and direction of the a A e ink ez ERE 10 m wind velocity during the Eemian Fischer et al 2010 Le uazin cer atm ym Choose Blank CPT as color table if you aa prefer a white background for vector fields Ammayi f j Plot Array2 Combined 10m u vand v velocity 2 6
26. the Source window SE cee ne iain ais 2 Alternatively simply double click the variable in the list e g tas 2 m air temperature or 3 You can right click the variable and decide between different plot sizes depending on the size of your display from extra small to jumbo plot If you prefer a particular size of plot for every time you make a plot you can specify a particular size under Window and then Preferences where you can also change other settings see section III Modifying the Plot Area The Type column to the right indicates the dimensions in which the variable can be plotted Possible combinations are e Latitude longitude map lon lat this will plot a map with latitude and longitude as dimensions e Latitude vertical grid lat vert displays a vertical profile depth or altitude versus latitude e Longitude vertical grid lon vert displays a vertical profile depth or altitude versus longitude e Time latitude longitude grid lat or long time produces a Hovm ller diagram I Creating a Plot Latitude Longitude Map As an example the 2 meter air temperature fas in the Fischer et al dataset eem_atm_ym nc 2010 has longitude lon and latitude at as dimensions As a result the temperature can be plotted as a 2 dimensional map si if Edit View Bookmarks Plot Window Help You can choose to interpolate the data usually the default by checki
27. tp www giss nasa gov tools panoply and click the Panoply for Windows link 2 Choose to download Panoply for either the 32 bit Windows Download Panoply for Windows or the 64 bit Windows Download Panoply for 64 bit Windows The right choice is dependent on the version of Windows you use Usually this can be found under Computer Start menu or Desktop and then Properties gt System type 3 Save the respective file and ectract the Panoply folder Panoply will be downloaded as zipped folder PanoplyWin zip by right clicking the folder and then Extract All after which you can choose a destination folder e Stick to this manual download If you let Windows unzip the Panoply folder automatically by programs such as Winzip Panoply won t work 4 Once the Panoply folder is unzipped you will find the following colorbars jars overlays Panoply README The colorbars and overlays folders contain the colors and continent overlays that will be used when creating plots in Panoply Therefore they need to be in the same directory as the panoply exe file which runs Panoply The same applies to jars which contains the Panoply application code so removing the jars files will break Panoply README gives aiding comments on the download and installation procedure Panoply exe will actually start the program However before starting Panoply make sure a Java 6 SE runtime environment is installed on your co
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