Search is not available for this dataset
date
timestamp[us]
latitude
float64
5.77
20.4
longitude
float64
98
105
datetime
timestamp[us]
2m_temperatures_celcius
float32
2.54
44.4
__index_level_0__
int64
247k
8.23M
1999-12-31T00:00:00
20.37
97.96
2000-01-01T00:00:00
10.680817
246,813
1999-12-31T00:00:00
20.37
98.06
2000-01-01T00:00:00
11.761383
246,814
1999-12-31T00:00:00
20.37
98.16
2000-01-01T00:00:00
12.669586
246,815
1999-12-31T00:00:00
20.37
98.26
2000-01-01T00:00:00
12.82486
246,816
1999-12-31T00:00:00
20.37
98.36
2000-01-01T00:00:00
12.029938
246,817
1999-12-31T00:00:00
20.37
98.46
2000-01-01T00:00:00
11.445953
246,818
1999-12-31T00:00:00
20.37
98.56
2000-01-01T00:00:00
12.22818
246,819
1999-12-31T00:00:00
20.37
98.66
2000-01-01T00:00:00
12.456207
246,820
1999-12-31T00:00:00
20.37
98.76
2000-01-01T00:00:00
12.506989
246,821
1999-12-31T00:00:00
20.37
98.86
2000-01-01T00:00:00
12.457672
246,822
1999-12-31T00:00:00
20.37
98.96
2000-01-01T00:00:00
12.149078
246,823
1999-12-31T00:00:00
20.37
99.06
2000-01-01T00:00:00
11.591949
246,824
1999-12-31T00:00:00
20.37
99.16
2000-01-01T00:00:00
10.998688
246,825
1999-12-31T00:00:00
20.37
99.26
2000-01-01T00:00:00
11.356598
246,826
1999-12-31T00:00:00
20.37
99.36
2000-01-01T00:00:00
11.343903
246,827
1999-12-31T00:00:00
20.37
99.46
2000-01-01T00:00:00
10.89859
246,828
1999-12-31T00:00:00
20.37
99.56
2000-01-01T00:00:00
10.975739
246,829
1999-12-31T00:00:00
20.37
99.66
2000-01-01T00:00:00
11.055328
246,830
1999-12-31T00:00:00
20.37
99.76
2000-01-01T00:00:00
11.224274
246,831
1999-12-31T00:00:00
20.37
99.86
2000-01-01T00:00:00
11.391266
246,832
1999-12-31T00:00:00
20.37
99.96
2000-01-01T00:00:00
11.709625
246,833
1999-12-31T00:00:00
20.37
100.06
2000-01-01T00:00:00
12.130035
246,834
1999-12-31T00:00:00
20.37
100.16
2000-01-01T00:00:00
12.192047
246,835
1999-12-31T00:00:00
20.37
100.26
2000-01-01T00:00:00
12.152985
246,836
1999-12-31T00:00:00
20.37
100.36
2000-01-01T00:00:00
12.036774
246,837
1999-12-31T00:00:00
20.37
100.46
2000-01-01T00:00:00
12.027985
246,838
1999-12-31T00:00:00
20.37
100.56
2000-01-01T00:00:00
11.880524
246,839
1999-12-31T00:00:00
20.37
100.66
2000-01-01T00:00:00
11.818512
246,840
1999-12-31T00:00:00
20.37
100.76
2000-01-01T00:00:00
11.762848
246,841
1999-12-31T00:00:00
20.37
100.86
2000-01-01T00:00:00
11.236969
246,842
1999-12-31T00:00:00
20.37
100.96
2000-01-01T00:00:00
10.578278
246,843
1999-12-31T00:00:00
20.37
101.06
2000-01-01T00:00:00
10.609528
246,844
1999-12-31T00:00:00
20.37
101.16
2000-01-01T00:00:00
11.539215
246,845
1999-12-31T00:00:00
20.37
101.26
2000-01-01T00:00:00
12.45816
246,846
1999-12-31T00:00:00
20.37
101.36
2000-01-01T00:00:00
12.289215
246,847
1999-12-31T00:00:00
20.37
101.46
2000-01-01T00:00:00
11.50943
246,848
1999-12-31T00:00:00
20.37
101.56
2000-01-01T00:00:00
11.725739
246,849
1999-12-31T00:00:00
20.37
101.66
2000-01-01T00:00:00
12.513336
246,850
1999-12-31T00:00:00
20.37
101.76
2000-01-01T00:00:00
12.689117
246,851
1999-12-31T00:00:00
20.37
101.86
2000-01-01T00:00:00
13.499176
246,852
1999-12-31T00:00:00
20.37
101.96
2000-01-01T00:00:00
13.823395
246,853
1999-12-31T00:00:00
20.37
102.06
2000-01-01T00:00:00
12.538727
246,854
1999-12-31T00:00:00
20.37
102.16
2000-01-01T00:00:00
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1999-12-31T00:00:00
20.37
102.26
2000-01-01T00:00:00
12.3815
246,856
1999-12-31T00:00:00
20.37
102.36
2000-01-01T00:00:00
11.813141
246,857
1999-12-31T00:00:00
20.37
102.46
2000-01-01T00:00:00
10.994293
246,858
1999-12-31T00:00:00
20.37
102.56
2000-01-01T00:00:00
9.982086
246,859
1999-12-31T00:00:00
20.37
102.66
2000-01-01T00:00:00
9.022125
246,860
1999-12-31T00:00:00
20.37
102.76
2000-01-01T00:00:00
8.927399
246,861
1999-12-31T00:00:00
20.37
102.86
2000-01-01T00:00:00
9.438141
246,862
1999-12-31T00:00:00
20.37
102.96
2000-01-01T00:00:00
9.915192
246,863
1999-12-31T00:00:00
20.37
103.06
2000-01-01T00:00:00
9.73941
246,864
1999-12-31T00:00:00
20.37
103.16
2000-01-01T00:00:00
9.088531
246,865
1999-12-31T00:00:00
20.37
103.26
2000-01-01T00:00:00
8.805328
246,866
1999-12-31T00:00:00
20.37
103.36
2000-01-01T00:00:00
8.988434
246,867
1999-12-31T00:00:00
20.37
103.46
2000-01-01T00:00:00
8.730133
246,868
1999-12-31T00:00:00
20.37
103.56
2000-01-01T00:00:00
8.776031
246,869
1999-12-31T00:00:00
20.37
103.66
2000-01-01T00:00:00
8.874176
246,870
1999-12-31T00:00:00
20.37
103.76
2000-01-01T00:00:00
8.364899
246,871
1999-12-31T00:00:00
20.37
103.86
2000-01-01T00:00:00
8.218903
246,872
1999-12-31T00:00:00
20.37
103.96
2000-01-01T00:00:00
8.822906
246,873
1999-12-31T00:00:00
20.37
104.06
2000-01-01T00:00:00
9.68277
246,874
1999-12-31T00:00:00
20.37
104.16
2000-01-01T00:00:00
9.977692
246,875
1999-12-31T00:00:00
20.37
104.26
2000-01-01T00:00:00
10.068512
246,876
1999-12-31T00:00:00
20.37
104.36
2000-01-01T00:00:00
10.331696
246,877
1999-12-31T00:00:00
20.37
104.46
2000-01-01T00:00:00
10.545074
246,878
1999-12-31T00:00:00
20.37
104.56
2000-01-01T00:00:00
10.823883
246,879
1999-12-31T00:00:00
20.37
104.66
2000-01-01T00:00:00
11.277496
246,880
1999-12-31T00:00:00
20.37
104.76
2000-01-01T00:00:00
12.076813
246,881
1999-12-31T00:00:00
20.37
104.86
2000-01-01T00:00:00
12.925934
246,882
1999-12-31T00:00:00
20.37
104.96
2000-01-01T00:00:00
13.744293
246,883
1999-12-31T00:00:00
20.37
105.06
2000-01-01T00:00:00
14.528473
246,884
1999-12-31T00:00:00
20.37
105.16
2000-01-01T00:00:00
15.333649
246,885
1999-12-31T00:00:00
20.27
97.96
2000-01-01T00:00:00
11.663239
246,886
1999-12-31T00:00:00
20.27
98.06
2000-01-01T00:00:00
10.626617
246,887
1999-12-31T00:00:00
20.27
98.16
2000-01-01T00:00:00
11.302887
246,888
1999-12-31T00:00:00
20.27
98.26
2000-01-01T00:00:00
12.518707
246,889
1999-12-31T00:00:00
20.27
98.36
2000-01-01T00:00:00
12.053375
246,890
1999-12-31T00:00:00
20.27
98.46
2000-01-01T00:00:00
11.928864
246,891
1999-12-31T00:00:00
20.27
98.56
2000-01-01T00:00:00
12.572906
246,892
1999-12-31T00:00:00
20.27
98.66
2000-01-01T00:00:00
12.562653
246,893
1999-12-31T00:00:00
20.27
98.76
2000-01-01T00:00:00
13.04068
246,894
1999-12-31T00:00:00
20.27
98.86
2000-01-01T00:00:00
14.346832
246,895
1999-12-31T00:00:00
20.27
98.96
2000-01-01T00:00:00
13.98941
246,896
1999-12-31T00:00:00
20.27
99.06
2000-01-01T00:00:00
11.331207
246,897
1999-12-31T00:00:00
20.27
99.16
2000-01-01T00:00:00
10.162262
246,898
1999-12-31T00:00:00
20.27
99.26
2000-01-01T00:00:00
10.894196
246,899
1999-12-31T00:00:00
20.27
99.36
2000-01-01T00:00:00
11.135895
246,900
1999-12-31T00:00:00
20.27
99.46
2000-01-01T00:00:00
10.937653
246,901
1999-12-31T00:00:00
20.27
99.56
2000-01-01T00:00:00
10.963043
246,902
1999-12-31T00:00:00
20.27
99.66
2000-01-01T00:00:00
11.302887
246,903
1999-12-31T00:00:00
20.27
99.76
2000-01-01T00:00:00
11.669586
246,904
1999-12-31T00:00:00
20.27
99.86
2000-01-01T00:00:00
12.067535
246,905
1999-12-31T00:00:00
20.27
99.96
2000-01-01T00:00:00
12.382965
246,906
1999-12-31T00:00:00
20.27
100.06
2000-01-01T00:00:00
12.327301
246,907
1999-12-31T00:00:00
20.27
100.16
2000-01-01T00:00:00
12.500153
246,908
1999-12-31T00:00:00
20.27
100.26
2000-01-01T00:00:00
12.300446
246,909
1999-12-31T00:00:00
20.27
100.36
2000-01-01T00:00:00
12.146149
246,910
1999-12-31T00:00:00
20.27
100.46
2000-01-01T00:00:00
12.33902
246,911
1999-12-31T00:00:00
20.27
100.56
2000-01-01T00:00:00
12.211578
246,912

Dataset Summary

Contains hourly 2 meters of land (on-shore) air temperature data within grid areas of Thailand country.
Data is retrieved from Corpernicus Climate Data Store on ERA5-Land hourly data from 1950 to present
Thailand areas in this context is Latitude = [5.77434, 20.43353] and Longitude = [97.96852, 105.22908]
For more details of data, you can refer to ERA5-Land hourly data from 1950 to present

Source Data

  • Organization of the producer: ECMWF

Data Creation

Below is an example of how to make data query using Python via CDS API in monthly requests.
Script can be found here

import cdsapi
c = cdsapi.Client()

month_list = [str(num).zfill(2) for num in range(1, 13)]
day_list = [str(num).zfill(2) for num in range(1, 32)]
time_list = [str(num).zfill(2) + ":00" for num in range(0, 24)]
year_list = [str(num) for num in range(2000, 2022)]

for year in year_list:
    for month in month_list:
        c.retrieve('reanalysis-era5-land',
        {
            'variable': [
                '2m_temperature']
        ,
        'year': year,
        'month' : month,
        'day': day_list,
        'time': time_list,
        'format': 'grib',
        'area': [
                    20.43, 97.96, 5.77,
                    105.22,
                ],
                },
        f'{year}_{month}_hourly_2m_temp_TH.grib')

Direct file output from API is in .grib format, to make it easy for further analysis work, I have converted it to .parquet format.
To convert GRIB format to pandas dataframe, you can use xrray and cfgrib library to help as below example snippet of code.

import xarray as xr
import cfgrib

ds = xr.open_dataset('2022_12_31_hourly_2m_temp_TH.grib', engine='cfgrib')
df = ds.to_dataframe().reset_index()

Licensing

Climate Data Store Product Licensing

Citation

  • This data was generated using Copernicus Climate Change Service information and
    contains modified Copernicus Climate Change Service information on 1999/Dec/31 - 2023/May/08 data period

  • Muñoz Sabater, J. (2019): ERA5-Land hourly data from 1950 to present.
    Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
    DOI: 10.24381/cds.e2161bac (Accessed on 13-May-2023)

  • Copernicus Climate Change Service (C3S) (2022): ERA5-Land hourly data from 1950 to present.
    Copernicus Climate Change Service (C3S) Climate Data Store (CDS).
    DOI: 10.24381/cds.e2161bac (Accessed on 13-May-2023)

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