| Name | Historical Gridded Meteorological Dataset in Japan |
| Abbreviation | HGMD_Japan |
| DOI | doi:10.20783/DIAS.670 |
| Metadata Identifier | HGMDJ_NARO20250515090452-DIAS20221121113753-en |
| 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 |
| ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp |
| Name | Yasushi Ishigooka |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, NARO (NIAES) |
| ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp |
| Name | Yasushi Ishigooka |
|---|---|
| Organization | Institute for Agro-Environmental Sciences, NARO (NIAES) |
| ishigooka.yasushi282@naro.go.jp, isigo@affrc.go.jp |
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)
| Begin Date | 1978-01-01 |
| End Date | Under Continuation |
| Temporal Characteristics | Daily |
| North bound latitude | 46 |
| West bound longitude | 122 |
| Eastbound longitude | 146 |
| South bound latitude | 24 |
| Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
|---|---|---|
| row | 2640 | 30 (second) |
| column | 1920 | 45 (second) |
| time | 1 (hour) |
| Keyword Type | Keyword | Keyword thesaurus Name |
|---|---|---|
| theme | GLOBAL CHANGE > Climate variability | AGU |
file download : https://data.diasjp.net/dl/storages/filelist/dataset:670
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.
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.
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. "
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).