0.25°x0.25° Raster Dataset of Effective Accumulated Temperature in the Sino-Russian Cross Border Region of Heilongjiang River Basin (2002-2020)
ZHOU Yezhi1,2WANG Juanle*1,3LI Kai1,2GRIGORIEVA Elena4
1 State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China2 College of Geoscience and Surveying Engineering，China University of Mining & Technology (Beijing)，Beijing 100083，China3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application，Nanjing 210023，China4 Institute for Complex Analysis of Regional Problems，Far-Eastern Branch，Russian Academy of Sciences，Birobidzhan 679016，Russia
DOI:10.3974/geodb.2022.04.05.V1
Published:Apr. 2022
Visitors：6689 Data Files Downloaded：40
Data Downloaded：67.88 MB Citations：
Key Words：
Heilongjiang River Basin,Sino-Russian cross-border area,effective temperature start and end date,effective accumulated temperature
Abstract：
0.25°x0.25° Raster Dataset of Effective Accumulated Temperature in the Sino-Russian Cross Border Region of Heilongjiang River Basin (2002-2020) was developed based on the hourly 2 m temperature from ECMWF Re-Analysis 5 during 2002-2020. The 0℃, 5℃, 10℃ and 15℃ temperature were taken as the base temperature. The correlation analysis between this dataset and in situ observation data shows that this product has the positive correlation with validation datasets respectively, and their inter-annual fluctuation are basically the same. The dataset include：(1) the boundary data of the study area; (2) the beginning/end date of annual effective temperature during 2002-2020 (≥0℃, ≥5℃, ≥10℃ and ≥15℃); (3) the effective accumulated temperature during 2002-2020 (≥0℃, ≥5℃, ≥10℃ and ≥15℃); (4) the validation dataset of effective accumulated temperature. The dataset is archived in .shp, .tif, and .xlsx data formats, it consists of 305 data files with data size of 19.9 MB (compressed into one file with 1.69 MB).Browse
Foundation Item：
Chinese Academy of Sciences (XDA2003020302); Chinese Academy ofEngineering (CKCEST-2022-1-41)；
Data Citation：
ZHOU Yezhi, WANG Juanle*, LI Kai, GRIGORIEVA Elena. 0.25°x0.25° Raster Dataset of Effective Accumulated Temperature in the Sino-Russian Cross Border Region of Heilongjiang River Basin (2002-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.04.05.V1.
ZHOU Yezhi, WANG Juanle, LI Kai, et al. A 0.25° × 0.25° raster dataset of effective accumulated temperatures in Sino-Russian cross border region of Heilongjiang River basin between 2002 and 2020 [J].Journal of Global Change Data & Discovery, 2022, 6(3): 467–478.
References：
[1]Grigorieva, E. Evaluating the sensitivity of growing degree days as an agro-climatic indicator of the climate change impact: A case study of the Russian Far East [J]. Atmosphere, 2020, 11(4): 404.
[2]Grigorieva, E., Matzarakis, A., De Freitas, C. R. Analysis of growing degree-days as a climate impact indicator in a region with extreme annual air temperature amplitude [J]. Climate Research, 2010, 42(2): 143-154.
[3]Matzarakis, A., Ivanova, D., Balafoutis. C., et al. Climatology of growing degree days in Greece[J]. Climate Research, 2007, 34(3): 233-240.
[4]Bai, L., Zhang, F., Shang, M., et al. Evolution of the multiple accumulated temperature across mainland China in 1961-2018 with the gridded meteorological dataset [J]. Journal of Geo-information Science, 2021, 23(8): 1446-1460.
[5]Huang, Y. F., Li, T. J., Lv, E. Z., et al. Boundary data of the Amur River Basin [J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.03.11.V1.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_ECMWF Re-Analysis 5.pdf | 6078.00kb | DownLoad |
| 1 |
EffecAccTemp_CR_2002-2020.rar |
1737.68KB |
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