Historical Gridded Meteorological Dataset in Japan


1. IDENTIFICATION INFORMATION

Name Historical Gridded Meteorological Dataset in Japan
Abbreviation HGMD_Japan
DOI doi:10.20783/DIAS.670
Metadata Identifier HGMDJ_NARO20250515090452-DIAS20221121113753-en

2. CONTACT

2.1 CONTACT on DATASET

Name Yasushi Ishigooka
Organization Institute for Agro-Environmental Sciences, NARO (NIAES)
Address 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan
TEL 029-838-8207
E-mail ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp

2.2 CONTACT on PROJECT

2.2.1 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

3. DOCUMENT AUTHOR

Name Yasushi Ishigooka
Organization Institute for Agro-Environmental Sciences, NARO (NIAES)
E-mail ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp

4. DATASET CREATOR

Name Yasushi Ishigooka
Organization Institute for Agro-Environmental Sciences, NARO (NIAES)
E-mail ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp

5. DATE OF THIS DOCUMENT

2025-05-15

6. DATE OF DATASET

  • publication : 2024-10-01

  • creation : 2010-04-01

7. DATASET OVERVIEW

7.1 Abstract

The Historical Gridded Meteorological Dataset in Japan (HGMD-Japan) is a grided high-resolution (1km x 1km, approximately) daily (and in some cases hourly or yearly) meteorological datasets, intended for use in agricultural climate change analysis, created from 1978 to the latest year continuously.

The daily data were created by overlaying the spatially interpolated differences between observed and climate normal at the meteorological observation stations onto the 1km resolution gridded climate data. In this process, in order to maintain time-series homogeneity in each variable, possible source of time-series heterogeneities unrelated to climate change, such as changes in statistical methods and instrument types, were corrected as much as possible.

The details of this dataset are described as follows.

■ Common items

Projection: Geographic

Geodetic system: Tokyo Datum

◆ Daily data

Directory structure:

HGMDJ_NARO(YYYY)daily[file]

File name:

(YYYY)_d_(element).bin

Element name (element):

Mean temperatures (tmp) [0.1 °C]

Maximum temperatures (hourly) (tmx) [0.1 °C]

Minimum temperatures (hourly) (tmn) [0.1 °C]

Precipitation (pre) [0.1 mm]

Solar radiation (srd) [0.1 MJ/m2/d]

Sunshine duration (sdr) [0.1 hour]

Relative humidity (rhu) [0.1 %]

Wind speed at 2.5m height (wsd) [0.1 m/s]

Downward long wave radiation (lrd) [0.1 MJ/ m2/d]

Potential evapotranspiration (pet) [0.1 mm]

FAO reference evapotranspiration (eto) [0.1 mm]

Paddy water temperature (LAI=0) (tw0) [0.1 °C]

Paddy water temperature (LAI=∞) (twi) [0.1 °C]

Error value:

-999

Record format:

Data format: Binary format (little endian)

Data size: 278,237,440 bytes

Record length: 736 bytes (4+366*2: see below)

Number of rows (meshes): 378040

Structure:

1) 3rd mesh code (4 byte long), data (2 byte short) x 366 days

2) 3rd mesh code (4 byte long), data (2 byte short) x 366 days

・・・

378040) 3rd mesh code (4 byte long), data (2 byte short) x 366 days

* Dummy (-999) for the 366th day in no-leap years

◆ Hourly data

Directory structure:

HGMDJ_NARO(YYYY)hourly[element][file]

File name:

(YYYYMMDD)_h_(element).bin

Element name (element):

Rice panicle temperatures (tp) [0.1 °C]

Air temperatures (ta) [0.1 °C]

Error value:

-999

Record format:

Data format: Binary format (little endian)

Data size: 19,658,080 bytes

Record length: 52 bytes (4+24*2: see below)

Number of rows (meshes): 378040

Structure:

1) 3rd mesh code (4 byte long), data (2 byte short) x 24 hours

2) 3rd mesh code (4 byte long), data (2 byte short) x 24 hours

・・・

378040) 3rd mesh code (4 byte long), data (2 byte short) x 24 hours

◆ Yearly data

Directory structure:

HGMDJ_NARO(YYYY)yearly[file]

File name:

(YYYY)_y_(element).bin

Element name (element):

Heat-dose of daily maximum temperature above 35 ℃ (HD_x35) (hdx35) [0.1 °C day]

Heat-dose of daily minimum temperature above 25 ℃ (HD_n25) (hdn25) [0.1 °C day]

Heat-dose of daily mean temperature above 26 ℃ (HD_m26) (hdm26) [0.1 °C day]

Mean air temperature during 20 days after heading date (hed20atm) [0.1 °C]

HD_m26 during 20 days after heading date (hed20hdm26) [0.1 °C day]

Mean panicle temperature during daytime within 5 days around heading date (ptm5dc) [0.1 °C]

Mean panicle temperature during daytime within 7 days around heading date (ptm7dc) [0.1 °C]

Error value:

-999

Record format:

Data format: Binary format (little endian)

Data size: 2,268,240 bytes

Record length: 6 bytes (4+2: see below)

Number of rows (meshes): 378040

Structure:

1) 3rd mesh code (4 byte long), data (2 byte short)

2) 3rd mesh code (4 byte long), data (2 byte short)

・・・

378040) 3rd mesh code (4 byte long), data (2 byte short)

7.2 Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 1978-01-01
End Date Under Continuation
Temporal Characteristics Daily

7.4 Geographic Bounding Box

North bound latitude 46
West bound longitude 122
Eastbound longitude 146
South bound latitude 24

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 2640 30 (second)
column 1920 45 (second)
time 1 (hour)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme GLOBAL CHANGE > Climate variability AGU

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

7.10 Distribution Information

name version specification
binary (original format) no information

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

8.1.2 Data Source

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

9. DATA REMARKS

10. DATA POLICY

10.1 Data Policy by the Data Provider

Do not provide this data to third parties without permission.

Use of this dataset is limited to non-commercial use.

Data provider creator is not responsible for any damages resulting from the use of this data.

It is requested to cite references if the data are used.

10.2 Data Policy by the Project

10.2.1 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.

11. LICENSE

12. DATA SOURCE ACKNOWLEDGEMENT

12.1 Acknowledge the Data Provider

12.2 Acknowledge the Project

12.2.1 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. "

13. REFERENCES

Seino, H. (1993): An estimation of distribution of meteorological elements using GIS and AMeDAS data, J. Agric. Meteorol. 48, 379-383 (in Japanese), doi: 10.2480/agrmet.48.379.

Kuwagata, T., M. Yoshimoto, Y. Ishigooka, T. Hasegawa, M. Utsumi, M. Nishmori, Y. Masaki, O. Saito (2011): MeteoCrop DB: an agro-meteorological database coupled with crop models for studying climate change impacts on rice in Japan, J. Agric. Meteorol. 67, 297-306, doi: 10.2480/agrmet.67.4.9.

Ishigooka, Y., T. Kuwagata, M. Nishimori, T. Hasegawa (2011): Spatial characterization of recent hot summers in Japan with agro-climatic indices related to rice production, J. Agric. Meteorol. 67, 209-224, doi: 10.2480/agrmet.67.4.5.

Ishigooka, Y., T. Kuwagata, M. Yoshimoto, T. Hasegawa, M. Nishimori, T. Takimoto, H. Wakatsuki and Y. Toda (2025): A high-resolution historical long-term gridded daily meteorological data set for agricultural climate change analysis. Data in Brief (under review).