Locating Data |
1. Datasets By Category | |
2. Datasets By Source | |
3. Datasets By Searching |
Select the "Finding Data" link. It is located near the middle of the page. CHECK
Select the "Datasets by Category" link.
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This data discovery option provides a sorted listing of nearly all the datasets
in the Data Library based on the type of data they contain. A summary of each dataset, including
a brief description, spatial and temporal resolutions, and spatial and temporal limits, is also
offered. Feel free to browse the data categories. Note that the dataset names are also links
to the datasets themselves.
Select the "Datasets by Source" link in the blue banner.
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This is a complete list of the datasets in the Data Library organized by
their source. This method of finding datasets is typically utilized by users who are more
familiar with climatic data and the providers that make it available. Below
the "Datasets and variables" heading you see the list of sources and either
a brief description of the source or a list of the subsections of data
from that source. For example, let's take a closer look at one of
the largest contributors of data to the Data Library, the National Oceanic
and Atmospheric Administration (NOAA).
Scroll down to the "NOAA" link.
You can see that there are five subsections of data from NOAA.
These include the National Oceanic Data Center (NODC), National Geophysical Data Center
(NGDC), National Centers for Environmental Prediction (NCEP), NCEP/NCAR Reanalysis Project
(NCEP-NCAR), and the National Climatic Data Center (NCDC).
Select the "NOAA" link.
You can now see these same five
subsections as links to more data. We can get to the same NOAA NCEP
CPC GLOBAL monthly STATION dataset main page that we looked at before by
selecting the proper source links here.
Select the "NCEP" link.
Select the "CPC" link.
Select the "GSOD" link.
Select the "MONTHLY" link.
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We are now back at the NOAA NCEP
CPC GSOD MONTHLY dataset main page. Again, note the source
bar. It has the same series of links that we saw before and represents
the same steps we took from the Dataset by Sources page to get here.
Select the "Data Library" link in the navigation banner.
Select the "Dataset Searches" link. CHECK
Entering the specific name of your desired station as a keyword will not help your search either. For example, suppose you want to find precipitation data for a station in Seattle.
Enter the keywords "precipitation Seattle".
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There are no matches for that search. However, this does not mean that the Data
Library does not contain any datasets with precipitation data for Seattle.
Enter the keywords "precipitation station".
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You have now found a handful of datasets that contain station-reported
precipitation data. Data from specific stations (e.g., Seattle) can be located after a
dataset is selected and we will discuss how to do that in
Part II.
You may also find it valuable to use your desired temporal resolution as a keyword as well. For example, suppose you want to find daily data of maximum temperature.
Enter the keywords "maximum temperature monthly".
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This search yields a list primarily consisting of datasets that contain monthly data of
maximum temperature. Note the difference compared to the search results if you are looking for
daily temperature data.
Enter the keywords "maximum temperature daily".
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This technique will have different results for different variables, but it
may be worth a try if you know your desired temporal resolution. Because this is not a fool-proof
method, you should always confirm the temporal resolution of any dataset
you find in this manner by noting its time grid. A more descriptive
discussion of grids is in a subsequent section.
Select this link in the search results or you can reach it by clicking
here*.
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Select the "FSOD" link in the source bar.
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You are now on the NOAA NCDC DAILY FSOD main page. Note how the
source bar on this page is different from the one on the dataset variable page.
Here, on the dataset main page, no variable has been selected so the lowest
level link on the source bar is the dataset itself.