APHRODITE Middle East precipitation dataset


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IDENTIFICATION INFORMATION

Name APHRODITE Middle East precipitation dataset
Edition V1101
Abbreviation APHRO_ME
Metadata Identifier APHRO_ME20230727073508-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name APHRODITE Team
Organization Hirosaki University
Address Japan
E-mail aphrodite.precinfo@gmail.com

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Yasutomi Natsuko
Organization Research Institute for Humanity and Nature

DATASET CREATOR

Name Yatagai Akiyo
Organization Research Institute for Humanity and Nature

DATE OF THIS DOCUMENT

2023-07-27

DATE OF DATASET

  • creation : 2010-06-01

DATASET OVERVIEW

Abstract

Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE's ) of Water Resources project develops state-of-the-art daily precipitation and temperature datasets with high-resolution grids for Asia. The datasets are created primarily with data obtained from a rain-gauge-observation network.

Product APHRO_ME offers gridded daily precipitation of the Middle East for 1951-2007.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1951-01-01
End Date 2007-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 45
West bound longitude 20
Eastbound longitude 65
South bound latitude 15

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 180 15 (minute)
column 120 15 (minute)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme APHRODITE, daily precipitation, Middle East No_Dictionary

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Online Resource

Data Environmental Information

1.Original station data and their location information are not provided because of our agreements with data providers. 2.We release the gridded product at 0.25-degree and 0.5-degree resolution. 3.As a part of our feedback to data providers, we provide the 0.05-degree product for only the corresponding country/area.

Distribution Information

name version specification
netCDF lats4d 2.0.1
4byte little endian N/A

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

The gridded fields of daily precipitation are defined by interpolating

gauge observations obtained from meteorological stations throughout the region.

Please refer to

http://www.chikyu.ac.jp/precip/

for the details of interpolation algorithm and input data.

DATA REMARKS

Details on quality control method of our product is described in Hamada et al.(2011)

DATA POLICY

Data Policy by the Data Provider

1. APHRODITE products are available to all academic institutions and researchers. No commercial use of the data is allowed.

2. Each user shall sign up with a valid email address so as to be informed of data updates and/or errata.

3. APHRODITE data shall not be redistributed as a whole or in part to the general public through the Internet or other means.

4. Although all reasonable precautions have been taken by the APHRODITE project in preparing the products, in no event shall the APHRODITE project be liable for any loss or damage arising from their use.

5. If you want to release secondary products using APHRODITE data on your website or through other means, you must contact the APHRODITE project for permission.

6. Papers or written scientific works of any form based in whole or in part on APHRODITE data shall contain an acknowledgement of APHRODITE. This can be done by citing an appropriate reference paper or APHRODITE web site (http://www.chikyu.ac.jp/precip/).

Users

1. If you are going to use APHRODITE data as a benchmark in your project, we encourage you to inform us. We list such groups/projects on our website and exchange information for future improvements.

2. If you publish a paper, please inform us. We will list your paper on our website. (http://www.chikyu.ac.jp/precip/research/index.html)

Data Policy by the Project

Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Data Provider

Papers or written scientific works of any form based in whole or in part on APHRODITE data shall contain an acknowledgement of APHRODITE. This can be done by citing an appropriate reference paper or APHRODITE web site (http://www.chikyu.ac.jp/precip/).

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

Yatagai, A., K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi and A. Kitoh (2012): APHRODITE: Constructing a Long-term Daily Gridded Precipitation Dataset for Asia based on a Dense Network of Rain Gauges, Bulletin of American Meteorological Society, doi:10.1175/BAMS-D-11-00122.1.

Hamada, A., O. Arakawa and A. Yatagai (2011): An automated quality control method for daily rain-gauge data. Global Environmental Research, V15N2, pp183-192.

Yatagai, A., P. Xie, and P. Alpert (2008): Development of a daily gridded precipitation dataset for the Middle East, Adv. in Geosci., 12, 165-170.

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