GRENE-ei CAAM 0.05°×0.05° Grid Daily Precipitation in Thailand (prototype)


1. IDENTIFICATION INFORMATION

Name GRENE-ei CAAM 0.05°×0.05° Grid Daily Precipitation in Thailand (prototype)
Edition 1.0
DOI doi:10.20783/DIAS.233
Metadata Identifier GRENE_ei_CAAM_Thai_Grid_DailyRain_prototype20181216214756-DIAS20180903143952-en

2. CONTACT

2.1 CONTACT on DATASET

Name Tomoshige INOUE
Organization Tokyo Metropolitan University
Address Japan
E-mail t-inoue@tmu.ac.jp

2.2 CONTACT on PROJECT

2.2.1 Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

Name Tomoshige INOUE
Organization Tokyo Metropolitan University
E-mail t-inoue@tmu.ac.jp

4. DATASET CREATOR

Name Kooiti Masuda
Organization Japan Agency for Marine-Earth Science and Technology
E-mail masuda@jamstec.go.jp

5. DATE OF THIS DOCUMENT

2018-12-16

6. DATE OF DATASET

  • creation : 2015-03-20

  • revision : 2015-11-30

7. DATASET OVERVIEW

7.1 Abstract

This is a prototype of 0.05°(lat) x 0.05°(lon) gridded data set of spatially-interpolated daily precipitation made from station precipitation in Thailand. Most of the data are obtained from the Thai Meteorological Department (TMD) by Prof. Jun Matsumoto (Tokyo Metropolitan University/JAMSTEC). We have not taken account of topographical effects, nor systematic errors of raingauges. In our product, data are given on grid boxes over land whose altitude is below 500 m only. Furthermore, those grid boxes which are far from any observing stations to be void of data. The threshold distance is predetermined by subjective decision of the analyst. The production of this data set is also a part of GRENE-ei (Green Network of Excellence, environmental information) CAAM (Climatic Changes and Evaluation of Their Effects on Agriculture in Asian Monsoon Region) of MEXT (the Ministry of Education, Culture, Sports, Science and Technology in Japan).

7.2 Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 1979-01-01
End Date 2011-12-31
Temporal Characteristics Daily

7.4 Geographic Bounding Box

North bound latitude 20.5
West bound longitude 97
Eastbound longitude 106
South bound latitude 5.5

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 180 3 (minute)
row 300 3 (minute)

7.6 Geographic Description

Asia

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Atmosphere > Precipitation > Precipitation Amount GCMD_science
theme HYDROLOGY > Precipitation, ATMOSPHERIC PROCESSES > Precipitation AGU
theme Water, Climate GEOSS
place Asia > South Eastern Asia > Thailand Country

7.7.2 Keywords on Project

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

7.8 Online Resource

7.9 Data Environmental Information

[Processing environment]: programs written by the data set creator in Fortran 77 and Awk, Fortran 77 program "Spheremap" version 99.8a from the University of Delaware, and Generic Mapping Tools (GMT) version 4.3.1 (Wessel and Smith), on Intel PC running Linux OS. [Data format]: The data are stored in a format of ".grd" files in each day. They are made by "xyz2grd" command of GMT.

7.10 Distribution Information

name version specification
NetCDF version 3.6 Produced by program "xyz2grd" of GMT 4.3.1.

8. DATA PROCESSING

8.1 Data Processing (1)

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

This is a prototype of gridded data set of spatially-interpolated daily precipitation made from station precipitation in Thailand.

As the algorithm for interpolation, “Spheremap”of Willmott et al. (1985) is used. This is originally the two-dimensional spatial interpolation algorithm by Shepard (1968) which is a kind of weighted average method, but modified to work with the spherical coordinates. The algorithm is also used by Global

Precipitation Climatology Centre (GPCC, located in the German Weather Bureau) in production of their gridded data set of precipitation.

We have not taken account of topographical effects, nor systematic errors of raingauges.

In our product, data are given on grid boxes over land whose altitude is below 500 m only. Furthermore, those grid boxes which are far from any observing stations to be void of data. The threshold distance is predetermined by subjective decision of the analyst.

8.1.2 Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

Note: This dataset is a "prototype" one, and it is possible to modify the data in a final version of dataset.

* We checked the source data and partially modified before entering them to the production.

* The following convention is assumed when monthly precipitation is calculated.

– Trace precipitation is assumed to be the same as zero.

* The selection of stations which are used for interpolation into the grid is as follows:

– Such stations that are off the region of the grid to be produced by more than 2 degrees of latitude or longitude are excluded.

* The following masking is done after spatial interpolation to the grid.

– Only those grid boxes which correspond to land whose altitude is below 500 m are considered valid, in order to escape an effect of mountains on precipitation. The distinction between land and sea follows that of the GPCC (Global Precipitation Climatology Centre) data set ("Monitoring Product" as of 2004). That is, we put the missing-value flag to grid boxes which are considered as oceanic boxes by GPCC.

– The value in such grid boxes that are more than a certain distance farther from any stations with valid values are considered as missing. The threshold distance is defined to be equal to the difference of 1.6 degrees latitude along a meridian.

10. USE CONSTRAINTS

10.1 Data Policy by Data Provider

This data set requires permission by the data provider (contact person) before you can download.

The content of this dataset should not be used for commercial purposes. The source should be properly acknowledged in any work obtained with this dataset. The creators of this dataset are not responsible for any loss or damage caused by using this dataset.

10.2 Data Policy for Project

10.2.1 Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

10.3 Disclaimer for Project

10.3.1 Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

11 ACKNOWLEDGEMENT

11.1 Dataset Acknowledgement

11.2 Project Acknowledgement

11.2.1 Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

12. REFERENCES

Shepard, D., 1968. A two-dimensional interpolation function for irregularly-spaced data. Proceedings, 1968 ACM National Conference, 517 – 524. (Reference of spatial interpolation algorithm)

Willmott, C.J., Rowe, C.M. and Philpot, W.D. 1985. Small-scale climate maps: a sensitivity analysis of some common assumptions associated with grid-point interpolation and contouring. The American Cartographer, 12, 5 – 16. (Reference of spatial interpolation algorithm)

Copyright(c) 2006-2018 Data Integration & Analysis System (DIAS) All Rights Reserved.
This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan