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Download functions

Download functions

download_era5(year, month, day, path)

function to download era5 reanalysis data from CDS

This functions needs a .cdsapirc file in the home directory with the following content: url: https://cds.climate.copernicus.eu/api/v2 key:

Examples:

>>> download_era5(2000, 6, 1, '/path/to/data')

Parameters:

Name Type Description Default
year int

year of the data to be downloaded

 required
month int

month of the data to be downloaded

 required
day int

day of the data to be downloaded

 required
path str

path to save the data

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_era5(year, month, day, path):
    """function to download era5 reanalysis data from CDS

    This functions needs a .cdsapirc file in the home directory with the following content:
    url: https://cds.climate.copernicus.eu/api/v2
    key: <your key>

    Examples:
        >>> download_era5(2000, 6, 1, '/path/to/data')

    Args:
        year (int): year of the data to be downloaded
        month (int): month of the data to be downloaded
        day (int): day of the data to be downloaded
        path (str):path to save the data

    Returns:
        None

    """

    fname = os.path.join(path, f'era5_{year:04d}{month:02d}{day:02d}.nc')

    c = cdsapi.Client()

    c.retrieve(
        'reanalysis-era5-single-levels',
        {
            'product_type': 'reanalysis',
            'format': 'netcdf',
            'variable': [
                '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_dewpoint_temperature',
                '2m_temperature', 'surface_pressure', 'total_precipitation',
            ],
            'month': [
                str(month).zfill(2),
            ],
            'day': [
                str(day).zfill(2),
            ],
            'time': [
                '00:00', '01:00', '02:00',
                '03:00', '04:00', '05:00',
                '06:00', '07:00', '08:00',
                '09:00', '10:00', '11:00',
                '12:00', '13:00', '14:00',
                '15:00', '16:00', '17:00',
                '18:00', '19:00', '20:00',
                '21:00', '22:00', '23:00',
            ],
            'year': [
                str(year).zfill(4),
            ],
            'area': [
                -15, -75, -55,
                -65,
            ],
        },
        fname)

download_era5land(year, month, day, path)

function to download era5-land reanalysis data from CDS

This functions needs a .cdsapirc file in the home directory with the following content: url: https://cds.climate.copernicus.eu/api/v2 key:

Examples:

>>> download_era5land(2000, 6, 1, '/path/to/data')

Parameters:

Name Type Description Default
year int

year of the data to be downloaded

 required
month int

month of the data to be downloaded

 required
day int

day of the data to be downloaded

 required
path str

path to save the data

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_era5land(year, month, day, path):
    """function to download era5-land reanalysis data from CDS

    This functions needs a .cdsapirc file in the home directory with the following content:
    url: https://cds.climate.copernicus.eu/api/v2
    key: <your key>

    Examples:
        >>> download_era5land(2000, 6, 1, '/path/to/data')

    Args:
        year (int): year of the data to be downloaded
        month (int): month of the data to be downloaded
        day (int): day of the data to be downloaded
        path (str):path to save the data

    Returns:
        None

    """

    fname = os.path.join(path, f'era5-land_{year:04d}{month:02d}{day:02d}.nc')

    c = cdsapi.Client()

    c.retrieve(
        'reanalysis-era5-land',
        {
            'format': 'netcdf',
            'variable': [
                '2m_temperature', 'potential_evaporation', 'snow_albedo',
                'snow_cover', 'snow_density', 'snow_depth',
                'snow_depth_water_equivalent', 'total_evaporation', 'total_precipitation',
                'volumetric_soil_water_layer_1', 'volumetric_soil_water_layer_2', 'volumetric_soil_water_layer_3',
                'volumetric_soil_water_layer_4',
            ],
            'month': [
                str(month).zfill(2),
            ],
            'day': [
                str(day).zfill(2),
            ],
            'time': [
                '00:00', '01:00', '02:00',
                '03:00', '04:00', '05:00',
                '06:00', '07:00', '08:00',
                '09:00', '10:00', '11:00',
                '12:00', '13:00', '14:00',
                '15:00', '16:00', '17:00',
                '18:00', '19:00', '20:00',
                '21:00', '22:00', '23:00',
            ],
            'year': [
                str(year).zfill(4),
            ],
            'area': [
                -15, -75, -55,
                -65,
            ],
        },
        fname)

download_era5pressure(year, month, day, path)

function to download era5 pressure levels reanalysis data from CDS

This functions needs a .cdsapirc file in the home directory with the following content: url: https://cds.climate.copernicus.eu/api/v2 key:

Examples:

>>> download_era5pressure(2000, 6, 1, '/path/to/data')

Parameters:

Name Type Description Default
year int

year of the data to be downloaded

 required
month int

month of the data to be downloaded

 required
day int

day of the data to be downloaded

 required
path str

path to save the data

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_era5pressure(year, month, day, path):
    """function to download era5 pressure levels reanalysis data from CDS

    This functions needs a .cdsapirc file in the home directory with the following content:
    url: https://cds.climate.copernicus.eu/api/v2
    key: <your key>

    Examples:
        >>> download_era5pressure(2000, 6, 1, '/path/to/data')

    Args:
        year (int): year of the data to be downloaded
        month (int): month of the data to be downloaded
        day (int): day of the data to be downloaded
        path (str):path to save the data

    Returns:
        None

    """

    fname = os.path.join(path, f'era5-pressure_{year:04d}{month:02d}{day:02d}.nc')

    c = cdsapi.Client()

    c.retrieve(
        'reanalysis-era5-pressure-levels',
        {
            'product_type': 'reanalysis',
            'format': 'netcdf',
            'variable': 'geopotential',
            'pressure_level': '500',
            'month': [
                str(month).zfill(2),
            ],
            'day': [
                str(day).zfill(2),
            ],
            'time': [
                '00:00', '01:00', '02:00',
                '03:00', '04:00', '05:00',
                '06:00', '07:00', '08:00',
                '09:00', '10:00', '11:00',
                '12:00', '13:00', '14:00',
                '15:00', '16:00', '17:00',
                '18:00', '19:00', '20:00',
                '21:00', '22:00', '23:00',
            ],
            'year': [
                str(year).zfill(4),
            ],
            'area': [
                -15, -75, -55,
                -65,
            ],
        },
        fname)

download_gfs(url, product_path)

Download a GFS product from nomads

Examples:

>>> download_gfs('https://nomads.ncep.noaa.gov/dods/gfs_0p50/gfs20200601/gfs_0p50_00z', '/path/to/data')

Parameters:

Name Type Description Default
url

url of the product

 required
product_path

path to save the product

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_gfs(url, product_path):
    """
    Download a GFS product from nomads

    Examples:
        >>> download_gfs('https://nomads.ncep.noaa.gov/dods/gfs_0p50/gfs20200601/gfs_0p50_00z', '/path/to/data')

    Args:
        url: url of the product
        product_path: path to save the product

    Returns:
        None
    """

    dic = {'ugrd10m': 'u10',
           'vgrd10m': 'v10',
           'pratesfc': 'prate',
           'tmp2m': 't2m',
           'rh2m': 'r2',
           'hgtprs': 'gh'}

    dims = {'time': 'valid_time',
            'lat': 'latitude',
            'lon': 'longitude'}

    dims.update(dic)

    leveltype = {'u10': 'heightAboveGround',
                 'v10': 'heightAboveGround',
                 'prate': 'surface',
                 't2m': 'heightAboveGround',
                 'r2': 'heightAboveGround',
                 'gh': 'isothermZero'}

    steptype = {'u10': 'instant',
                'v10': 'instant',
                'prate': 'avg',
                't2m': 'instant',
                'r2': 'instant',
                'gh': 'instant'}

    date = url.split('/')[-2].replace('gfs', '')
    year = date[:4]
    date = date + '00'

    if not os.path.exists(os.path.join(product_path, year)):
        os.makedirs(os.path.join(product_path, year))
    else:
        print(f'Folder {year} already exists')
    if not os.path.exists(os.path.join(product_path, year, date)):
        os.makedirs(os.path.join(product_path, year, date))
    else:
        print(f'Folder {date} already exists')

    logging.info(url)

    with t.HiddenPrints():
        ds = xr.open_dataset(url)

        ds = ds.sel(lev=500)[list(dic.keys())].drop('lev')
        ds = ds.rename(dims)
        ds = ds.sel(latitude=slice(-61, -13), longitude=slice(281, 297),
                    valid_time=slice(ds.valid_time[0].values,
                                     ds.valid_time[0].values + pd.to_timedelta(24 * 5, unit='H')))
        # create a new coordinate
        ds = ds.assign_coords({'time': ds.valid_time.values[0]})

        for var in dic.values():
            name = f'GFS0.5_{var}_{leveltype.get(var)}_{steptype.get(var)}_{date}.nc'
            ds[var].to_netcdf(os.path.join(product_path, year, date, name))
            print(f'{date} {var} saved')

download_imerg(url_extract, folder, user, password, timeout=60)

download IMERG data from jsimpsonhttps.pps.eosdis.nasa.gov.

It is recommended to use the function get_imerg to get the filenames of the data to be downloaded

Examples:

>>> download_imerg('/imerg/gis/2000/06/xyz.tif', '/path/to/data',  'user@doma.in', 'password')
xyz.tif downloaded

>>> # for multiple files (natural process)
>>> files = get_imerg('2000-06', '2000-07', 'user@doma.in', 'password')
>>> for file in files:
>>>     download_imerg(file, '/path/to/data',  'user@doma.in', 'password')
xyz1.tif downloaded
xyz2.tif downloaded
...

Parameters:

Name Type Description Default
url_extract str

extract of url in format '/imerg/gis/2000/06/xyz.tif'

 required
folder str

folder to save the data

 required
user str

username to access jsimpsonhttps.pps.eosdis.nasa.gov

 required
password str

password to access jsimpsonhttps.pps.eosdis.nasa.gov

 required
timeout int

timeout in seconds

 60

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_imerg(url_extract, folder, user, password, timeout=60):
    """download IMERG data from jsimpsonhttps.pps.eosdis.nasa.gov.

    It is recommended to use the function get_imerg to get the filenames of the data to be downloaded

    Examples:
        >>> download_imerg('/imerg/gis/2000/06/xyz.tif', '/path/to/data',  'user@doma.in', 'password')
        xyz.tif downloaded

        >>> # for multiple files (natural process)
        >>> files = get_imerg('2000-06', '2000-07', 'user@doma.in', 'password')
        >>> for file in files:
        >>>     download_imerg(file, '/path/to/data',  'user@doma.in', 'password')
        xyz1.tif downloaded
        xyz2.tif downloaded
        ...

    Args:
        url_extract (str): extract of url in format '/imerg/gis/2000/06/xyz.tif'
        folder (str): folder to save the data
        user (str): username to access jsimpsonhttps.pps.eosdis.nasa.gov
        password (str): password to access jsimpsonhttps.pps.eosdis.nasa.gov
        timeout (int): timeout in seconds

    Returns:
        None
    """

    url = 'https://jsimpsonhttps.pps.eosdis.nasa.gov'+url_extract
    fname = url.split('/')[-1]

    response = requests.get(url, auth=HTTPBasicAuth(user, password), timeout=timeout)
    response.raise_for_status()

    with open(os.path.join(folder, fname), 'wb') as f:
        f.write(response.content)
        print(f'{fname} downloaded')

download_pdirnow(start, end, product_path, check_ppath=False)

Download PDIRNow data from CHRS FTP server.

Parameters:

Name Type Description Default
start

start date in YYYY-MM-DD format

 required
end

end date in YYYY-MM-DD format

 required
product_path

path to the folder where the files will be downloaded

 required
check_ppath

if True, check the files in product_path and download only the missing ones (default: False).

 False

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_pdirnow(start, end, product_path, check_ppath = False):
    """
    Download PDIRNow data from CHRS FTP server.

    Args:
        start: start date in YYYY-MM-DD format
        end: end date in YYYY-MM-DD format
        product_path: path to the folder where the files will be downloaded
        check_ppath: if True, check the files in product_path and download only the missing ones (default: False).

    Returns:
        None
    """

    start = pd.to_datetime(start)
    end = pd.to_datetime(end)

    ftp_server = 'persiann.eng.uci.edu'
    ftp_path = 'CHRSdata/PDIRNow/PDIRNowdaily'

    while True:
        try:
            ftp = ftplib.FTP(ftp_server)
            ftp.login()
            ftp.cwd(ftp_path)
            break
        except:
            print('FTP connection failed. Trying again in 5 seconds...')
            time.sleep(5)
            continue

    dir_list = []
    ftp.dir(dir_list.append)
    files_list = [value.split(' ')[-1] for value in dir_list if 'bin' in value]

    dates = [val.split('1d')[1].split('.')[0] for val in files_list]
    dates = [pd.to_datetime(val, format='%y%m%d') for val in dates]
    files_list = [files_list[i] for i in range(len(files_list)) if dates[i] >= start and dates[i] <= end]

    if check_ppath:
        files_list = [value for value in files_list if value.split('.gz')[0] not in os.listdir(product_path)]

    while True:
        try:
            for file_name in files_list:
                print(f'Downloading {file_name}')
                wget.download(f'ftp://{ftp_server}/{ftp_path}/{file_name}', out=product_path)
                print(f'Unzipping {file_name}')
                with gzip.open(f'{product_path}/{file_name}', 'rb') as f_in:
                    with open(f'{product_path}/{file_name.split(".gz")[0]}', 'wb') as f_out:
                        shutil.copyfileobj(f_in, f_out)
                os.remove(f'{product_path}/{file_name}')
            break
        except:
            print('FTP connection failed. Trying again in 5 seconds...')
            ftp.close()
            time.sleep(5)
            ftp = ftplib.FTP(ftp_server)
            ftp.login()
            ftp.cwd(ftp_path)
            continue
    ftp.close()

download_satsoilmoist(year, month, day, path)

function to download Soil moisture gridded data from CDS

Examples:

>>> download_satsoilmoist(2000, 6, 1, '/path/to/data')

Parameters:

Name Type Description Default
year int

year of the data to be downloaded

 required
month int

month of the data to be downloaded

 required
day int

day of the data to be downloaded

 required
path str

path to save the data

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def download_satsoilmoist(year, month, day, path):
    """function to download Soil moisture gridded data from CDS

    Examples:
        >>> download_satsoilmoist(2000, 6, 1, '/path/to/data')

    Args:
        year (int): year of the data to be downloaded
        month (int): month of the data to be downloaded
        day (int): day of the data to be downloaded
        path (str): path to save the data

    Returns:
        None
    """

    c = cdsapi.Client()

    c.retrieve(
        'satellite-soil-moisture',
        {
            'format': 'tgz',
            'variable': 'volumetric_surface_soil_moisture',
            'type_of_sensor': [
                'combined_passive_and_active', 'passive',
            ],
            'time_aggregation': 'day_average',
            'month': str(month).zfill(2),
            'year': str(year).zfill(4),
            'day': str(day).zfill(2),
            'type_of_record': 'cdr',
            'version': 'v202012.0.0',
        },
        'download.tar.gz')

    with tarfile.open('download.tar.gz') as tar:
        tar.extractall(path=path)

    os.remove('download.tar.gz')

earthdata_download(what, product_path, start, end)

Download data from earthdata.nasa.gov

Examples:

>>> earthdata_download('reflectance', '/path/to/data', '2019-01-01', '2019-01-31')

Parameters:

Name Type Description Default
what

one of the following: reflectance, vegetation, lai, albedo, lulc, et0, snow, precipitation, landdata

 required
product_path

path to save the downloaded files

 required
start

start date in format YYYY-MM-DD

 required
end

start date in format YYYY-MM-DD

 required

Returns:

Type Description

None
Source code in hidrocl/download/__init__.py 
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def earthdata_download(what, product_path, start, end):
    """
    Download data from earthdata.nasa.gov

    Examples:
        >>> earthdata_download('reflectance', '/path/to/data', '2019-01-01', '2019-01-31')

    Args:
        what: one of the following: reflectance, vegetation, lai, albedo, lulc, et0, snow, precipitation, landdata
        product_path: path to save the downloaded files
        start: start date in format YYYY-MM-DD
        end: start date in format YYYY-MM-DD

    Returns:
        None

    """

    earthdata_products = {
        'reflectance': 'MOD09A1',
        'vegetation': 'MOD13Q1',
        'lai': 'MCD15A2H',
        'albedo': 'MCD43A3',
        'lulc': 'MCD12Q1',
        'et0': 'MOD16A2',
        'snow': 'MOD10A2',
        'precipitation': 'GPM_3IMERGHHL',
        'landdata': 'GLDAS_NOAH025_3H',
    }

    earthdata_platform = {
        'reflectance': 'modis',
        'vegetation': 'modis',
        'lai': 'modis',
        'albedo': 'modis',
        'lulc': 'modis',
        'et0': 'modis',
        'snow': 'modis',
        'precipitation': 'mixed',
        'landdata': 'model',
    }

    earthdata_version = {
        'reflectance': '061',
        'vegetation': '061',
        'lai': '061',
        'albedo': '061',
        'lulc': '061',
        'et0': '061',
        'snow': '61',
        'precipitation': '06',
        'landdata': '2.1',
    }

    earthdata_file_extension = {
        'reflectance': 'hdf',
        'vegetation': '.hdf',
        'lai': '.hdf',
        'albedo': '.hdf',
        'lulc': '.hdf',
        'et0': '.hdf',
        'snow': '.hdf',
        'precipitation': '.hdf5',
        'landdata': '.nc4',
    }

    try:
        what = what.lower()
    except AttributeError:
        raise ValueError("what must be a string")

    if what not in earthdata_products.keys():
        raise ValueError("what must be one of the following: reflectance, vegetation,",
                         "lai, albedo, lulc, et0, snow, precipitation, landdata")

    try:
        start = pd.to_datetime(start, format="%Y-%m-%d")
        end = pd.to_datetime(end, format="%Y-%m-%d")
    except ValueError:
        raise ValueError("start and end must be in format YYYY-MM-DD")

    if start > end:
        raise ValueError("start must be before end")

    grids = ['h13v14', 'h14v14', 'h12v13', 'h13v13', 'h11v12',
             'h12v12', 'h11v11', 'h12v11', 'h11v10']

    earthaccess.login()

    results = earthaccess.granule_query().short_name(earthdata_products[what]).\
        bounding_box(-73.73, -55.01, -67.05, -17.63).version(earthdata_version[what]).\
        temporal(start.strftime("%Y-%m-%d"), end.strftime("%Y-%m-%d")).get_all()

    if len(results) == 0:
        print('No results found')
        return

    results = [value for value in results if any(substring in value.data_links()[0] for substring in grids)]

    if earthdata_platform[what] == 'modis':
        results = [value for value in results if any(substring in value.data_links()[0] for substring in grids)]

    downloaded_files = earthaccess.download(results,
                                            local_path=product_path)

    print('Downloaded finished')

get_imerg(start, end, user, password, timeout=60)

function to get IMERG data filenames from jsimpsonhttps.pps.eosdis.nasa.gov

Examples:

>>> get_imerg('2000-06', '2000-07', 'user@doma.in', 'password')
['/imerg/gis/2000/06/3B-HHR-L.MS.MRG.3IMERG.20000608-S000000-E002959.0000.V06B.30min.tif',
 '/imerg/gis/2000/06/3B-HHR-L.MS.MRG.3IMERG.20000608-S003000-E005959.0030.V06B.30min.tif',
 ...]

Parameters:

Name Type Description Default
start str

start date in the format YYYY-MM

 required
end str

start date in the format YYYY-MM

 required
user str

username to access jsimpsonhttps.pps.eosdis.nasa.gov

 required
password str

password to access jsimpsonhttps.pps.eosdis.nasa.gov

 required
timeout int

timeout in seconds

 60

Returns:

Name Type Description
list

a list representing the filename of IMERG data available for the requested period

Raises:

Type Description
ValueError

if: - start or end are not in the format YYYY-MM - start is after end - start is less than 2000-06
Source code in hidrocl/download/__init__.py 
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def get_imerg(start, end, user, password, timeout=60):
    """function to get IMERG data filenames from jsimpsonhttps.pps.eosdis.nasa.gov

    Examples:
        >>> get_imerg('2000-06', '2000-07', 'user@doma.in', 'password')
        ['/imerg/gis/2000/06/3B-HHR-L.MS.MRG.3IMERG.20000608-S000000-E002959.0000.V06B.30min.tif',
         '/imerg/gis/2000/06/3B-HHR-L.MS.MRG.3IMERG.20000608-S003000-E005959.0030.V06B.30min.tif',
         ...]

    Args:
        start (str): start date in the format YYYY-MM
        end (str): start date in the format YYYY-MM
        user (str): username to access jsimpsonhttps.pps.eosdis.nasa.gov
        password (str): password to access jsimpsonhttps.pps.eosdis.nasa.gov
        timeout (int): timeout in seconds

    Returns:
        list: a list representing the filename of IMERG data available for the requested period

    Raises:
        ValueError: if:
            - start or end are not in the format YYYY-MM
            - start is after end
            - start is less than 2000-06
    """

    start = pd.to_datetime(start+'-01', format="%Y-%m-%d")
    end = pd.to_datetime(end+'-01', format="%Y-%m-%d")

    if start > end:
        raise ValueError("start date should be less than end date")

    if start.year < 2000:
        raise ValueError("start date should be greater than 2000")

    if end.year > datetime.now().year:
        raise ValueError("end date should be less than current year")

    if start.year == 200 and start.month < 6:
        raise ValueError("start date should be greater than 2000-06-01")

    p = pd.period_range(start, end, freq='M')

    final_response = []

    for yyyymm in p:
        year = int(yyyymm.strftime('%Y'))
        month = int(yyyymm.strftime('%m'))

        url = f'https://jsimpsonhttps.pps.eosdis.nasa.gov/text/imerg/gis/{year:04d}/{month:02d}/'

        response = requests.get(url, auth=HTTPBasicAuth(user, password), timeout=timeout)

        vals = str(response.content).split('\\n')

        vals_filtered = [val for val in vals if '3B-HHR-L' in val and '30min.tif' in val]

        final_response.extend(vals_filtered)

    return final_response

list_gfs()

List the available GFS 0.5 products in nomads

Examples:

>>> list_gfs()

Returns:

Name Type Description
list

a list of available GFS products or the status code if the request fails
Source code in hidrocl/download/__init__.py 
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def list_gfs():
    """
    List the available GFS 0.5 products in nomads

    Examples:
        >>> list_gfs()

    Returns:
        list: a list of available GFS products or the status code if the request fails
    """

    baseurl = 'https://nomads.ncep.noaa.gov/dods/gfs_0p50'

    response = requests.get(baseurl)

    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        variables = soup.find_all('a')
        urls = [val.get('href') + '/gfs_0p50_00z' for val in variables if 'gfs_0p50/' in val.get('href')]
        return urls
    else:
        print('Error: ', response.status_code)
        return response.status_code