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What is CRU .pdf



Nom original: What is CRU.pdf
Auteur: Kian

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What is CRU datasets?
The CRU TS dataset was developed and has been subsequently updated, improved and maintained
with support from a number of funders, principally the UK's Natural Environment Research
Council (NERC) and the US Department of Energy. A gridded time-series dataset that this version
(CRU TS v. 4.01), released 20 September 2017, covers the period 1901-2016.
Coverage: All land areas (excluding Antarctica) at 0.5degree resolution.
Variables: pre, tmp, tmx, tmn, dtr, vap, cld, wet, frs, pet

What is CRUP Tool?
With CRUP tool you can easily extract and view your intent point of CRU dataset. It is a free tool
that Agrimetsoft’s team presents it for special users. The main objective of this tool is facilitate
the process of extract and read CRU TS v. 4.01 for the user. The interface of the tool is so easy
and without any Challenge. You can tacking the following steps for running this tool:

Step 1: Period Selection
After you install the CRUP tool from Agrimetsoft’s site, you can open the tool. First, in the main
page you can select the scale of desirable period, namely Yearly, Monthly, and Special month
(Fig.1).

Figure 1. The main screen of the CRUP tool
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Then, you can select the start and end time (for year or month, according to the selected scale).
The start time of CRU T4 begins from 1901 (Fig. 2). In the presented example we have selected
1908.

Figure 2. Select the start date in month or year according to the selected scale.

For the end time, as presented in Fig. 3, you can select the desirable year. According to the CRU
dataset, the end of period of data is 2016. In the presented example we have selected 2012.

Figure 3. Select the end of desirable period.
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Step 2: Variable Selection
In this step the user can select the desirable variable, but in this version of CRUP (trial version),
Tmax just activate for selection, and in the next version Agrimetsoft will activate other variables
(Fig. 4).

Figure 4. Select the desirable variable for view the values.

Step 3: Select the Coordinate
In this step the user can enter the desirable latitude and longitude of the case study. In Fig.5 and in
the presented example we write 36.30 and 60.2, respectively for latitude and longitude. Then the
user can click on the “load Data” button.

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Figure 5. Enter the desirable coordinate and click the load data.

Step 4: Plot Data and Save them
Finally, when the data was loaded the user can click the “Plot” button (Fig. 6 No.1), and the curves
was depicted in the plot screen. Furthermore, by clicking the “Trend” button (Fig. 6 No.2), you
can see the trend line on the graph and also you can see the related equation of data with other
statistical efficiency, namely R-Square and MSE (Fig. 6 No.3). As well, you can export the selected
data to an Excel file, by clicking “Save to Excel” button (Fig. 6 No.4).

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Figure 6. The Last step for plot and export data Excel file.

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