An Introduction to the IRI Data Library

An Introduction to the IRI Data Library

Objectives Become familiar with the organization of the Data Library
Learn how to find datasets and select spatial and temporal domains See how to perform simple arithmetic analyses See how to create customized maps and graphs Learn how to download data and images Understand how the Data Library is related to the IRI Map Room This introduction to the IRI Data Library should help the participant with the following objectives: Become familiar with the organization of the Data Library Learn how to find datasets and select spatial and temporal domains See how to perform simple arithmetic analyses See how to create customized maps and graphs Learn how to download data and images Understand how the Data Library is related to the IRI Map Room Many of these topics will be repeated and reinforced in the Data Library practicals later in the course.

The IRI Data Library is a…
Data repository >300 datasets covering all aspects of climate-related characteristics Data analysis tool Arithmetic operations  EOF analysis Data visualization tool Time series, maps, cross-sections Data download resource Free access to text, binary, GIS-compatible, etc. data files The IRI Data Library is a powerful data resource with a variety of capabilities. First, it is a very large repository of primarily climate-related datasets from a variety of sources, although its collection of datasets related to sectors in which the IRI works, such as health and agriculture, has been growing. Some datasets are restricted, but the vast majority are publicly available. Second, it is a data visualization tool that allows users to view multi-dimensional datasets (some forecast datasets have as many as 6 dimensions) in a variety of ways, including as maps, time series, and cross-sections. Users can download images of their data as gif, jpeg, png, PS, EPS, or pdf. Third, it is a data analysis tool, allowing users to perform calculations on data that range from simple arithmetic operations to more complex computations such as EOF analysis. Fourth, it is a resource for downloading data in a variety of formats. Users can select only the data they want to retrieve, and then download the data as plain text or binary, in tables, in a selection of GIS-compatible formats, in the netCDF self-describing format (metadata are included in the downloaded file), or import data directly into an application such as Matlab using the OPeNDAP protocol. Users can also download the results of their analyses on data in these same formats.

Data Library Home Page Data Library Home Page

The home page of the IRI Data Library is located at http://iridl. ldeo
The home page of the IRI Data Library is located at At the top of the page is a short description of the Data Library and its capabilities. In the box on the right-hand-side of the page is a link to the IRI Map Room, which contains a variety of maps and tools constructed primarily using datasets and capabilities contained in the Data Library. In the center of the page is a list of “What’s New” items that includes listings of datasets and capabilities that have been recently added. Under “Help Resources” is a list of links to tutorials for using the Data Library, documentation of the functions used in the Data Library, and some archived answers to user questions. Under “Finding Data” are links to Data Library pages that employ different methods to help the user find datasets of interest.

Finding Datasets Finding Datasets

Structure of Datasets -Primary Organization -Dataset -Variables .
-NASA -ERBE (Earth Radiation Budget Experiment) -Datasets by instrument -Variables -GES-DAAC (Distributed Active Archive Center) - -GISS -LeGrande_Schmidt2006 (authors) -GPCP (Global Precip Climatology Project) -Datasets by version . Example Datasets in the Data Library are organized in a hierarchy. At the top of the hierarchy are the names of the persons or organizations that provided the data. Below this top level datasets are nested as parent datasets and sub-datasets, down to the level of individual variables, such as temperature or precipitation. These nested datasets may represent entities such as data centers, experiments, authors, projects, instrument platforms, dataset versions, or data resolutions, for instance. Individual dependent variables at the bottom of the hierarchy are functions of independent variables in time and space, ensemble members, etc.

Under “Finding Data” select the “Datasets by Source” option.

Selecting the “Dataset by Source” option will bring you to a page that lists the people or organizations that sit at the top of the Data Library hierarchy – the sources of the datasets contained within the Data Library. Clicking on a link, such as “NASA” will show you the sub-datasets under NASA, which include names of experiments, data centers, and projects. You can continue to click on these links to descend the hierarchy to sub-datasets and variables. This is a good way to find datasets if you are familiar with the source of the data you want to find.

Return to the front page of the Data Library and select “Browse/Search Datasets”.

Data Browse/Search Map Room Search
The datasets in the Data Library have been tagged with terms that describe the data they contain. These terms are organized into categories such as “Quantity” (variable), “Analysis”, “Person”, “Sector”, “Institution”, etc. The IRI Data Library & Map Room Search Interface lists these categories and their individual search terms. Clicking on a search term will produce a list of datasets that have been described by that term. Once a keyword has been selected, the terms that remain in the list on the left side of the page are keywords that describe the datasets found in the search. Selecting additional terms will further narrow the list of datasets to only those that are described by the terms that have been selected. This is a good way to find datasets based upon data requirements that you have in mind. Map Room Search

Return to the Data Library home page and select “Datasets by Category”.

 Air-Sea Interface  Atmosphere  Climate Indices
 Cloud Characteristics and Radiation Budget  Fisheries  Forecasts  Historical Model Simulations  Hydrology  Ice  Oceanography  Topographic and Land Characteristics Datasets in the Data Library have also been manually grouped according to broad categories such as “Atmosphere”, “Oceanography”, “Hydrology”, etc.

If you select one of these categories, such as “Atmosphere”, the resulting page will display a list of datasets within that category and some descriptions of each. Each dataset is described according to its spatial resolution (or number of stations, if it is a station dataset), its spatial extent, the time period covered by the data, and the temporal resolution of the data. A short description of each dataset is also included.

The name of each dataset is also a link that will take you to the main page of the dataset.

Dataset Page Contents and Structure Gridded Datasets
The following section describes how Data Library pages for gridded datasets are structured.

-Access to data manipulation, visualization, download tools
Function Bar -Access to data manipulation, visualization, download tools Selecting the “NASA GPCC V1DD” link on the “Atmosphere” “Datasets by Category” page brings you to the main page of a dataset containing daily precipitation estimates gridded at 1 degree latitude/longitude resolution. At the top of this gridded dataset page is a Function Bar with links that allow the user to access data manipulation, visualization, and download tools.

-Navigational information
Source Bar -Navigational information -Where am I? What operations have I performed? -Documentation access Documentation Access Points Below the Function Bar is the “Source Bar”, which contains information about this dataset’s location in the Data Library hierarchy and any operations that have been performed on the data. It also may contain an asterisk that serves as a link to documentation about the data. Other dataset documentation links will be included (if documentation is available) in the blue navigation bar on the left side of the page and under the “Documents” heading on the page.

-Access to variables or lower-level datasets
The “Datasets and variables” section of the dataset page contains a list of the sub-datasets or variables contained within the current dataset (and in the case of variables, designations of the grids, or independent variables, upon which the variable depends). Dataset and Variables -Access to variables or lower-level datasets

Grids (Independent Variables) -Information about grids on which
data is dependent -Latitude (Y) -Longitude (X) -Time (T) -Others (height/depth, ensemble member, etc.) The “Grids” section of the page contains information about the independent variables in the dataset. These may include latitude (Y), longitude (X), time (T), and others such as height or depth, ensemble member, etc. Information about each grid includes its units, whether the grid is ordered, or periodic, its maximum and minimum values, its spacing interval, and the number of points in the grid.

To select an individual variable, click on its hyperlinked name.

-Selected variable shown in Source Bar
Once a variable is selected, the dataset page changes to display new information. The selected variable is shown in the Source Bar, the “Datasets and variables” section is gone, and additional information about the selected variable is displayed under “Other Info”. Note new information -Selected variable shown in Source Bar -Datasets and variables heading gone -More information about variable below

Important information about variable -Missing value indicator -Units
This additional information about the variable under “Other Info” may include items such as the indicator used to mark missing data, and the units of the data, for example. Important information about variable -Missing value indicator -Units

-Access to data manipulation, visualization, download tools
Function Bar -Access to data manipulation, visualization, download tools View Links -Access data viewer The Function Bar at the top of the page contains links that give access to data manipulation, visualization, and download tools. The icons next to “Views” are links to the IRI Data Viewer. Each icon illustrates the type of view of the data that is available when that icon is selected, and the Data Library automatically offers views of the data based upon the number of grids or dimensions that describe the data. In this case, since there are three dimensions, both 2-dimensional map views and 1-dimensional data series views of the data are available. The different map icons illustrate different mapping options that are available. For instance, this page shows Data Viewer icons for displaying values as color maps without coastlines, as color maps with coastlines, as color maps with continents filled in, as contour maps, and as contour maps with continents filled in. A 1-dimensional data series option is also available.

If the color map with coastlines icon is selected, the Data Viewer display will look something like this – a 2-dimensional map in longitude and latitude, with various options. These options will be described in detail in later slides.

-Data domain selection
Data Selection -Data domain selection The “Data Selection” link in the Function Bar accesses a page with an interface for selecting ranges of data along independent variables (grids) such as longitude, latitude, and time, for instance.

In this dataset, the Data Selection interface displays options for selecting data along the longitude, latitude, and time grids.

-Common data manipulation tools
Filters -Common data manipulation tools Selecting the Filters link allows the user to select from a few common calculations that can be performed on the data.

- Monthly Climatology/Anomaly Average over any ind. variable
The resulting page displays options for calculating quantities such as climatologies, anomalies, averages, root mean square, and maximum and minimum values over grids. - Monthly Climatology/Anomaly Average over any ind. variable Root mean square Find max/min values over any ind. variable

-Access to data downloads
Data Files -Access to data downloads The “Data Files” link takes you to a page with multiple data file download options.

At the top of the data files page, you will see an estimate of the amount of data in the dataset to help provide an estimate for the size of the file to be downloaded. File sizes will vary from this estimate as a function of the efficiency of the file format and the amount of additional metadata included in the download file. There are options and coaches for downloading data to specific software, “Full Information” (or self-describing) format options, such as netCDF, “Partial Information” file format options, file formats for GIS, and pure text or binary data file options.

-Access to tabular data for Excel, etc.
Tables -Access to tabular data for Excel, etc. The “Tables” link leads to a page that presents options to view or download data in tabular formats.

On the “Tables” page, the options under “Rectangular array of data” allow the user to view 2-dimensional tables of the data in all possible permutations in the browser window, given the number of grids that define the dataset. In this example, only the longitude and latitude grids are still available. The “Y X Table” option will display a table with the latitude (Y) grid columns labeled along the top of the page and longitude (X) grid rows labeled along the side. The “X Y Table” option reverses the labeling (longitude (X) values in columns; latitude (Y) values in rows). The 2D Tab-Separated Tables options allow the user to download the data as 2-dimensional tab-separated values. The ordering convention for labeling the columns and rows is the same as in the “Rectangular array of data” options. This format is ideal for downloading data into spreadsheets. The “Columnar Tables” options allow the user to view or download data as simple columnar tables. This a very inefficient format and should not be used for very large data selections.

-Manually enter Ingrid code
Expert mode -Manually enter Ingrid code The “Expert Mode” link allows the user to manually enter Data Library commands and functions using the “Ingrid” language. This option is generally used by more advanced users or in cases where calculations are not available on the “Filters” page.

When “Expert Mode” is selected, a new text window in which Data Library commands can be entered appears at the top of the page. Enter commands into the text box and then click the “OK” button to apply them.

Dataset Page Contents and Structure Station Datasets

1. Maps displaying stations
Three key differences 1. Maps displaying stations Dataset pages for station datasets in the Data Library differ in a few ways from dataset pages for gridded datasets. One key difference is that the front page of a station dataset will display a map of the station locations.

1. Map displays station locations 2. Station ids in grid info
Three key differences 1. Map displays station locations 2. Station ids in grid info 3. “Extra” variables provide station information A word of caution… The time grid information represents the full extent of the dataset. This does NOT mean that all of the stations in the dataset have data for the full time period. Second, one of the grids in a station dataset will be a grid of station identifiers. And third, many of the dependent variables in a station dataset contain the metadata for the stations, including such items as station latitude and longitude, station names, elevation, etc. As a word of caution, note that the time grid information represents the full temporal extent of the dataset. This does not mean that all of the stations in the dataset have data for the full time period shown.

Selecting Data Domain Gridded Datasets

-Data domain selection
Data Selection -Data domain selection As noted previously, to make a selection along grids in a gridded dataset, use the “Data Selection” link.

Step 2. Click Restrict Ranges button.
Data Selection Step 1. Change text in Setting Ranges boxes using same syntax as text already there. Step 2. Click Restrict Ranges button. Step 3. When satisfied information in top box represents desired domain, click the Stop Selecting button. Once on the Data Selection page, follow these steps to make data selections in the spatial domain: Change the text in the “Setting Ranges” boxes using the same syntax as the text that is already there. Click the “Restrict Ranges” button. Once the page has refreshed, check the grid information in the grey “current settings” box under “Data Selection”. When you are satisfied that the information in this box represents the desired domain, click the “Stop Selecting” button.

Note: Center of nearest grid point automatically selected.
Example Time (T) 1 Oct 1996 to 31 Jan 1997 Latitude (Y) 60S to 60N In this example, we have chosen data along the latitude grid using the syntax “60S to 60N”. When you look at the grid information in the grey “current settings” box, you will see that the endpoints of the latitude grid are 59.5S and 59.5N, not 60S and 60N. The reason is that the centers of the nearest gridpoints to the values entered are automatically selected. Note: Center of nearest grid point automatically selected.

Note: New data domain now represented in Source Bar
Once the “Stop Selecting” button is clicked and you are returned to the main dataset page with your selections intact, you will note that the selections you have made will appear in the Source Bar and in the “Grids” section of the page. Note: New data domain now represented in Source Bar and grid information.

Selecting Data Domain Station Datasets

Key difference 1. Selecting station(s)
When selecting data in a station dataset, a key difference from selections in a gridded dataset is that you are selecting stations (designated by a station grid) instead of a spatial domain.

Option 1: Select all stations in an area
Step 1. Click and drag a box over area of interest (or manually enter lat/lon limits and click redraw button). Step 2. When satisfied with area selection, click the List of stations in current view link. Step 3. Click the Dataset (and map) with all data found in search link. There are several options available when selecting stations. Option 1: Select all stations in an area. First, click and drag a box in the map over the area of interest (or manually enter latitude and longitude limits in the text boxes at the edges of the map and click the Redraw button). Next, when satisfied with the area you have selected, click the “List of stations in current view” link.

Select stations in southern tip of Africa
Example Select stations in southern tip of Africa For example, to select stations over the southern tip of Africa, start by clicking and dragging a box on the map over Southern Africa.

Select stations in southern tip of Africa
Example Select stations in southern tip of Africa Then, when you click the “List of stations in current view” link to enter the station search page, click the “Dataset (and map) with all data found in search” link to select the Southern Africa stations.

Note: New data domain now represented in Source Bar,
map, and grid information. You will then be returned to the main dataset page. But note that the only stations that appear in the map are those that you have selected. Also note that the station grid in the “Grids” section of the page lists only the stations that have been selected. The Source Bar will also reflect the longitude and latitude spatial domain used to select the stations.

Option 2: Search for a particular station
Step 1. Click on the Searches link. Step 2. Enter location of interest and click on the Search [Dataset Name] button. Step 3. To select all matched stations, click the Dataset (and map) with all data found in search link. To select one or more of the matched stations, select the appropriate check boxes and click the Get Marked Stations button. Option 2: Search for a particular station. First, click on the “Searches” link. Then, enter the location of interest in the text boxes at the top of the station search page, and click on the “Search [Dataset Name]” button. Finally, to select all the stations that match the search, click the “Dataset (and map) with all data found in search” link. To select one or more of the matched stations, select the appropriate check boxes next to the station ID numbers and click the “Get Marked Stations” button. To select a single station, you can simply click on that station’s ID number.

Select station(s) in Windhoek, Namibia
Example Select station(s) in Windhoek, Namibia For example, to search for stations in Windhoek, Namibia, in the GHCN v2beta dataset, enter “WINDHOEK” in the “Name” text box, and click the “Search NOAA NCDC GHCN v2beta” button. The list of matching stations will appear, and you can use either of the available methods to select the stations of interest.

Note: New data domain now represented in Source Bar,
map, and grid information. Once you have made the station selections, you will be returned to the main dataset page, and your selections will be reflected in the Source Bar, the map, and the grid information.

Visualizing Data: Making maps and graphs

To visualize data in the Data Library, use one of the Data Viewer icons that appear at the top of a dataset page. In this example, we will look at a color map of V1DD precipitation data with continent outlines overlaid.

Redraw  Zoom To Full  Help 
Selecting the icon will bring up the Data Viewer, which will display a map of the data at a given time. Note the three buttons to the left side of the map. The Redraw (circular arrow) button will apply any changes that you make to the text boxes or drop-down menus on the Data Viewer page. If a spatial selection has already been made, the Zoom to Full button will zoom the map view back out to the full spatial extent available in the dataset. Clicking on the Help (question mark) button will display additional text on how to use the tools on the Data Viewer page.

-Change text and redraw -Select button with adjacent date
Change Time -Change text and redraw -Select button with adjacent date Make Animation -Enter range of dates (date1 “to” date2) and redraw Since time is an independent variable available in this dataset, a text box and buttons for selecting and displaying data from different times in the dataset is available above the map. To select a different time to view you can either change the text in the text box and click the Redraw button or select a button for an adjacent date. To make an animation, enter a range of dates using the syntax “date1 to date2” (e.g., use “1 Oct 1996 to 31 Oct 1996” to animate precipitation data for days in October 1996), and then click the Redraw button.

-Click and drag box over area -Change lat/lon limits and redraw
Change Region -Click and drag box over area -Change lat/lon limits and redraw To change the spatial region shown in the map, either click and drag a box over the region of interest, or change the latitude and longitude limits in the text boxes at the edges of the map and click the Redraw button.

Change Color Scale Limits -Enter new limits and redraw
To change the limits of the color scale, change the values in the text boxes that denote the maximum and minimum values in the color scale.

-Use pull down menus to: -Change axis selection -Draw admin boundaries
Change Map Options -Use pull down menus to: -Change axis selection -Draw admin boundaries -Draw contours, etc. -Use Edit plot button to add more customizations Several drop-down menus below the image allow the user to change the grid displayed along each axis, draw administrative boundaries, and change the type of map display (colors, contours, line graph, etc.). Use the “Edit plot” button to access more customization options.

-Select a new color scale -Add admin boundaries Return to Viewer
Change Map Options -Select a new color scale -Add admin boundaries Return to Viewer -Click more options On the Edit Plot page, use the drop-down menu in the left-hand column to select another pre-made color scale for the data, and use the options in the right-hand column to overlay administrative boundaries, coastlines, rivers, etc., and choose the characteristics of the overlays, such as line color, thickness, and style. To return to the Figure Viewer after selecting these options, click the “more options” button.

-Select desired format for map and color scale
Download map -Select desired format for map and color scale On the Figure Viewer page, you can download map and color scale images as postscript, EPS, PDF, jpeg, gif, and png files.

-To maintain domain selections from viewer, click data in view button.
Return to dataset page -To maintain domain selections from viewer, click data in view button. -To return without saving selections, click Entire Dataset link or dataset link at top of page. There are several ways to return to the main dataset page from the Figure Viewer. To return to the dataset page and select only the data in the current view in the Figure Viewer, click the “data in view” button. To return to the dataset page without making any selections, click the “Entire Dataset” link or the dataset link in the blue banner at the top of the page.

Downloading Data Files

Step 1. Select Data Files link.
Download Data File Step 1. Select Data Files link. Step 2. Select link for desired format. From the main dataset page, click the “Data Files” link to download data in one of a variety of file formats.

The Data Files download page is divided in to several sections
The Data Files download page is divided in to several sections. At the top of the data files page, you will see an estimate of the amount of data in the dataset to help provide an estimate for the size of the file to be downloaded. File sizes will vary from this estimate as a function of the efficiency of the file format and the amount of additional metadata included in the download file. There are options and coaches for downloading data to specific software, “Full Information” (or self-describing) format options, such as netCDF, “Partial Information” file format options, file formats for GIS, and pure text or binary data file options.

Step 1. Select Tables link. Step 2. Select link for desired format.
Download Tables Step 1. Select Tables link. Step 2. Select link for desired format. To view or download data as tables in plain text, click on the “Tables” link.

On the “Tables” page, the “columnar tables with options” link takes you to a page where you can customize the columnar table you view or download.

Note: If planning to import into Excel, select tsv format from
columnar tables with options page. Information at the top of the “columnar tables with options” page displays which columns will contain the values of the grids or variables contained in the table. The drop-down menus under “Column 1”, “Column 2”, etc., allow the user to display certain types of values in numeric or textual form. For example if the “text” option is chosen for a given column, latitude or longitude values in that column will be displayed with an E, W, N, or S designator, and times will be given in terms of month and year, such as “Jan 2000”. If the “number” option is chosen, latitude or longitude values will be displayed as positive or negative values (no E, W, N, or S designator), and times will be expressed in terms of a number in relation to the origin of the time grid. Use the drop-down menu under “Missing Data” to select from among three options for dealing with the display of missing data. “skipanyNaN” will simply not display any rows in the table that contain missing data values in the dependent variable. “blankNaN” will display rows with missing data, but leave the table cell with the missing value blank. The “markNaN” option allows the user to choose a missing data marker to display in the place of the missing data value. Use the text box under “Missing Data Marker” to select this value. The drop-down menu under “File Type” allows the user to select how the data will be displayed or saved in a file. The “html” option will display the table in the browser window. Other options allow the user to save the data in a tab-separated values text file, as comma-separated text values, etc. Click the “Get Table” button to display or download the table once all relevant options have been selected.

Analysis Options… The Data Library includes an online statistical tutorial that includes step-by-step live examples for calculating a variety of statistics in the Data Library, from simple averages to singular value decomposition.

IRI Map Room The IRI Map Room contains a variety of pre-made maps and tools. Most of these maps and tools are based upon data and functionality available in the IRI Data Library. Many of the maps are linked directly to the underlying data in the Data Library and provide an additional gateway for accessing the data. For quick access to the data being viewed, just click on the map. You will then be able to change dates or views, or even download the data. Some maps are tools in which clicking on the map will display time series or some other characteristics of the data on the map. The Map Room is divided into seven sections. The “Global”, “Regional”, and “ENSO” map rooms display maps and analyses of climate variables on global or regional scales, and maps and analyses related specifically to the El Nino/Southern Oscillation. The four other sections provide maps and tools related specifically to sectors in which the IRI works, including “Health”, “Food Security”, “Fire”, and the “International Federation” map room developed in collaboration with the International Federation of Red Cross and Red Crescent Societies.

Climate Information in Context
A goal of many maps in the Map Room is to place climate information into some context relevant to the user. The International Federation Precipitation Forecast in Context Map Tool is one example. The goal of this tool is to place one-day to six-day precipitation forecasts for the globe into context with respect to historical observations to help answer whether the precipitation forecast is calling for unusual or extreme rainfall amounts. The primary purpose of these maps is to identify areas with the potential for rainfall that will produce flooding. The tool has options for displaying short-term forecast information as anomalies from “normal”, percentiles, and as a percentage of monthly total precipitation. Other options display the IRI probabilistic seasonal precipitation forecasts and Predictions in Context of recently observed seasonal precipitation, and maps of population and poverty to help provide information about the vulnerability of populations.

Flying Solo Tip: Bookmark analyses you might like to use again
What to do when you have a question: Look for similar example in the Tutorials and Documentation resources Send to ** Copy the url of the page in question into the The IRI Data Library is a web-based tool in which each dataset selection and each calculation done in the Data Library has a unique URL. Therefore, to save the results of calculations, analyses, or maps you have created in the Data Library, you can simply bookmark that page in your browser and return to it later. If you have a question about how to do things in the Data Library, look at the tutorials and the function documentation. You can also send an to When sending an to “help”, please copy the URL of the Data Library page in question into the .

Location of slides: http://iri.columbia.edu/~mbell/climsoc2009/
You can find this presentation in the following location at the IRI website:

Group Examples Domain selections (spatial and temporal) Calculate…
Climatologies Anomalies Spatial averages Seasonal averages Customize maps/graphs Create data masks Prep data files for analysis in CPT

Group Example 1 1. Includes observed sea surface temperatures
Use Datasets by Category catalog to find a data set with the following characteristics: 1. Includes observed sea surface temperatures 2. Monthly temporal resolution 3. Spatial resolution at least 1ºx1º 4. Includes 60ºS-60ºN in spatial domain 5. Includes in temporal domain

Group Example 1: Result

Group Example 2: Prepare spatially averaged monthly SSTs in the Tropical Atlantic region for for use in Excel From the Reyn_SmithOIv2 monthly data… Select the Sea Surface Temperature variable Select Jan 1986 – Dec 2005 time period Select region in Tropical Atlantic (10ºS-10ºN, 330ºE-350ºE) Calculate spatial average (XY link on Filters page) View Ingrid in Expert Mode View data in data viewer Download for use in Excel START HERE

Group Example 2: Result To download data: Click on Tables, select
tsv or csv file type, and click Get Table button. VIEW RESULT

Group Example 3: Make a map of seasonal global SSTAs for Jan 1982 – Dec 2005
From the Reyn_SmithOIv2 monthly data… Select the Sea Surface Temperature variable (Ignore the existing SSTA variable – we’re going calculate it) Select the Jan 1982-Dec 2005 time period Select anomalies link from Filters page View Ingrid in Expert Mode In Expert Mode enter the following text, then click OK. T 3 runningAverage View data in data viewer Select a color scale appropriate for SSTA START HERE

Group Example 3: Result VIEW RESULT

Group Example 4: Make a time series of monthly station-observed precipitation in Dakar, Senegal
From the NOAA NCDC GHCN v2beta dataset… Search for a station in Dakar Select precipitation variable View data in data viewer Adjust time period in data viewer to focus on available data

Group Example 4: Result VIEW RESULTS

Group Example 5: Download ECHAM4
Group Example 5: Download ECHAM4.5 ensemble-averaged precipitation from forecasts made Jan 1968 – 2003 and valid for FMA in CPT format Dataset location in Library: IRI FD ECHAM4.5 Forecast psst ensemble12 MONTHLY surface Hint: The L grid describes the lead time. A lead time of 0.5 indicates that the forecast is valid for the same month in which it started. Example: S= Aug 1970, L=2.5  Forecast data valid for Oct 1970 Select 1 Jan start times and lead times for FMA Calculate ensemble and lead time averages from Filters page View Ingrid in Expert Mode Download data in CPT format

Group Example 5: Result To download data: Click on Data Files
and select CPT. VIEW RESULTS

Group Example 6: Make an animated map of monthly climatological temperature in China, including provincial boundaries and major rivers Locate the UEA CRU TS2.1 dataset Select the monthly mean temperature variable Select a climatology base period ( ) Select Monthly Climatology link from Filters page View Ingrid in Expert Mode View data in data viewer Select region around China Select a color scale for temperature and add state and river overlays Animate map by entering “Jan to Dec” in time text box

Group Example 6: Result Link to result given after group Examples
First frame of animation: Link to result given after group Examples

Locate the UEA CRU TS2.1 dataset
Group Example 7: Make a global map of climatological annual rainfall for areas that receive more than 5 inches/year. Locate the UEA CRU TS2.1 dataset Select the climatology dataset Select the precipitation variable In Expert Mode enter the following text, then click OK. [T] sum 125 maskle View data in data viewer Add desired administrative boundaries, color scale, etc.

Group Example 7: Result VIEW RESULTS

Individual Example 1: Make a map of global climatological SSTs during July based on the base period. Getting Started… Dataset location in Library: NOAA NCDC ERSST Hint: Calculate climatology before selecting July dates

Individual Example 2: Create a time series of monthly precipitation which has been spatially averaged over the Sahel for Getting Started… Dataset location in Library: DEKLIM VASClimO PrcpClim Res-1x1 Approx Sahel region: 7º-22ºN, 17ºW-28ºE

Individual Example 3: Make animated map of April soil moisture anomalies in Afghanistan during Getting Started… Dataset location in Library: NOAA NCEP CPC GMSM Hint: Calculate anomalies before selecting April dates

Individual Example 4: Download ECHAM4
Individual Example 4: Download ECHAM4.5 ensemble-averaged surface temperature from forecasts made 1 May 1968 – 2003 and valid for JAS in CPT format Getting Started… Dataset location in Library: IRI FD ECHAM4.5 Forecast psst ensemble12 MONTHLY surface

Individual Example 5: Create a time-longitude plot of weekly SSTA in the Tropical Pacific for Jan 1982-Dec Use data from 5ºS-5ºN. Getting Started… Hint: There are two datasets that include weekly sea-air interface data. Use the one that has an ssta variable so you do not have to calculate it yourself.

Individual Example 1: Result
VIEW RESULT

VIEW RESULT

First frame of animation: To animate map: Enter Apr 1990 to Apr 2006 above map and click Redraw button. VIEW RESULT

To download data: Click on Data Files and select CPT. VIEW RESULT

VIEW RESULTS

An Introduction to the IRI Data Library

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An Introduction to the IRI Data Library

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Presentation on theme: "An Introduction to the IRI Data Library"— Presentation transcript:

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