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2015-2018 8-day composite dataset of precipitation in the Aral Sea Basin
  • 2025/05/07 00:01
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English name
2015-2018 8-day composite dataset of precipitation in the Aral Sea Basin
CSTR
CSTR:33110.11.ariddc.00440
10.12389/ariddc.00440
Share type
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Category
others
contributors
liu tie , qian jing
Datasets description

<p>This dataset mainly includes: 8-day synthetic data of rainfall within the Aral Sea Basin for four consecutive years in 2015, 2016, 2017, and 2018. The spatial resolution is 0.1°×0.1°, the temporal resolution is 8 days, and the value for each pixel is the sum of eight days of rainfall. Rainfall data is stored in grid format. </p>

Base information
collect time 2015/01/01  -  2018/12/31
collect place Aral Sea
data size 3.1 MiB
data format .Geotiff format
Coordinate system WGS84
Projection WGS84
Data thumbnail
Data source description

Compiled from NASA's new generation Global Precipitation Program GPM(Global Precipitation Measurement, V06, Global Precipitation Observation Program) https://disc.gsfc.nasa.gov/datasets? keywords=GPM&page=1

Data processing method

Three hours of rainfall data are added to get daily rainfall, and then accumulated to get eight days of rainfall.

Data quality description

The spatial resolution is 0.1°×0.1°, the temporal resolution is 8 days, the value of each pixel is the sum of eight days of rainfall, and the projection coordinates are GCS_WGS_1984.

Project information
# number name type
1 XDA20000000 Other
Citations and annotations
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For the achievements published in English, please refer to the following specifications： The dataset is provided by Arid Land Ecology and Resources Science Data Center. (https://data.dcxjegi.cn).

Data reference
liu tie, qian jing. 2015-2018 8-day composite dataset of precipitation in the Aral Sea Basin. Arid Land Ecology and Resources Science Data Center(https://data.dcxjegi.cn), 2025. https://cstr.cn/CSTR:33110.11.ariddc.00440.
liu tie, qian jing. 2015-2018 8-day composite dataset of precipitation in the Aral Sea Basin. Arid Land Ecology and Resources Science Data Center(https://data.dcxjegi.cn), 2025. https://www.doi.org/10.12389/ariddc.00440.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 2015.rar 796.7 KiB
2 2016.rar 794.2 KiB
3 2017.rar 724.0 KiB
4 2018.rar 851.8 KiB
How to get the data 
east 
west 
south 
north 
Export metadata
Service information
contacts:
Li jin
phone:
0991-7823121
mailbox:
datacenter@ms.xjb.ac.cn
Contact information
contributors:
liu tie , qian jing
author:
chen chaoliang
manager:
liu tie

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