ERA5 Daily Statistics Bands

Collection: derived-era5-single-levels-daily-statistics

Total bands: 262

This collection provides post-processed ERA5 hourly single-level data aggregated to daily time steps.

Available Bands

#	Band Name	Description
1	`100m_u_component_of_wind`
2	`100m_v_component_of_wind`
3	`10m_u_component_of_neutral_wind`
4	`10m_u_component_of_wind`	Eastward component of wind at 10 meters above surface
5	`10m_v_component_of_neutral_wind`	Northward component of neutral wind at 10 meters
6	`10m_v_component_of_wind`	Northward component of wind at 10 meters above surface
7	`10m_wind_gust_since_previous_post_processing`
8	`2m_dewpoint_temperature`	Dewpoint temperature at 2 meters above surface
9	`2m_temperature`	Air temperature at 2 meters above surface
10	`air_density_over_the_oceans`
11	`angle_of_sub_gridscale_orography`
12	`anisotropy_of_sub_gridscale_orography`
13	`benjamin_feir_index`
14	`boundary_layer_dissipation`
15	`boundary_layer_height`
16	`charnock`
17	`clear_sky_direct_solar_radiation_at_surface`
18	`cloud_base_height`
19	`coefficient_of_drag_with_waves`
20	`convective_available_potential_energy`
21	`convective_inhibition`
22	`convective_precipitation`
23	`convective_rain_rate`
24	`convective_snowfall`
25	`convective_snowfall_rate_water_equivalent`
26	`downward_uv_radiation_at_the_surface`
27	`duct_base_height`
28	`eastward_gravity_wave_surface_stress`
29	`eastward_turbulent_surface_stress`
30	`evaporation`
31	`forecast_albedo`
32	`forecast_logarithm_of_surface_roughness_for_heat`
33	`forecast_surface_roughness`
34	`free_convective_velocity_over_the_oceans`
35	`friction_velocity`
36	`geopotential`
37	`gravity_wave_dissipation`
38	`high_cloud_cover`
39	`high_vegetation_cover`
40	`ice_temperature_layer_1`
41	`ice_temperature_layer_2`
42	`ice_temperature_layer_3`
43	`ice_temperature_layer_4`
44	`instantaneous_10m_wind_gust`
45	`instantaneous_eastward_turbulent_surface_stress`
46	`instantaneous_large_scale_surface_precipitation_fraction`
47	`instantaneous_moisture_flux`
48	`instantaneous_northward_turbulent_surface_stress`
49	`instantaneous_surface_sensible_heat_flux`
50	`k_index`
51	`lake_bottom_temperature`
52	`lake_cover`
53	`lake_depth`
54	`lake_ice_depth`
55	`lake_ice_temperature`
56	`lake_mix_layer_depth`
57	`lake_mix_layer_temperature`
58	`lake_shape_factor`
59	`lake_total_layer_temperature`
60	`land_sea_mask`
61	`large_scale_precipitation`
62	`large_scale_precipitation_fraction`
63	`large_scale_rain_rate`
64	`large_scale_snowfall`
65	`large_scale_snowfall_rate_water_equivalent`
66	`leaf_area_index_high_vegetation`
67	`leaf_area_index_low_vegetation`
68	`low_cloud_cover`
69	`low_vegetation_cover`
70	`maximum_2m_temperature_since_previous_post_processing`
71	`maximum_individual_wave_height`
72	`maximum_total_precipitation_rate_since_previous_post_processing`
73	`mean_boundary_layer_dissipation`
74	`mean_convective_precipitation_rate`
75	`mean_convective_snowfall_rate`
76	`mean_direction_of_total_swell`
77	`mean_direction_of_wind_waves`
78	`mean_eastward_gravity_wave_surface_stress`
79	`mean_eastward_turbulent_surface_stress`
80	`mean_evaporation_rate`
81	`mean_gravity_wave_dissipation`
82	`mean_large_scale_precipitation_fraction`
83	`mean_large_scale_precipitation_rate`
84	`mean_large_scale_snowfall_rate`
85	`mean_northward_gravity_wave_surface_stress`
86	`mean_northward_turbulent_surface_stress`
87	`mean_period_of_total_swell`
88	`mean_period_of_wind_waves`
89	`mean_potential_evaporation_rate`
90	`mean_runoff_rate`
91	`mean_sea_level_pressure`	Atmospheric pressure adjusted to mean sea level
92	`mean_snow_evaporation_rate`
93	`mean_snowfall_rate`
94	`mean_snowmelt_rate`
95	`mean_square_slope_of_waves`
96	`mean_sub_surface_runoff_rate`
97	`mean_surface_direct_short_wave_radiation_flux`
98	`mean_surface_direct_short_wave_radiation_flux_clear_sky`
99	`mean_surface_downward_long_wave_radiation_flux`
100	`mean_surface_downward_long_wave_radiation_flux_clear_sky`
101	`mean_surface_downward_short_wave_radiation_flux`
102	`mean_surface_downward_short_wave_radiation_flux_clear_sky`
103	`mean_surface_downward_uv_radiation_flux`
104	`mean_surface_latent_heat_flux`
105	`mean_surface_net_long_wave_radiation_flux`
106	`mean_surface_net_long_wave_radiation_flux_clear_sky`
107	`mean_surface_net_short_wave_radiation_flux`
108	`mean_surface_net_short_wave_radiation_flux_clear_sky`
109	`mean_surface_runoff_rate`
110	`mean_surface_sensible_heat_flux`
111	`mean_top_downward_short_wave_radiation_flux`
112	`mean_top_net_long_wave_radiation_flux`
113	`mean_top_net_long_wave_radiation_flux_clear_sky`
114	`mean_top_net_short_wave_radiation_flux`
115	`mean_top_net_short_wave_radiation_flux_clear_sky`
116	`mean_total_precipitation_rate`
117	`mean_vertical_gradient_of_refractivity_inside_trapping_layer`
118	`mean_vertically_integrated_moisture_divergence`
119	`mean_wave_direction`
120	`mean_wave_direction_of_first_swell_partition`
121	`mean_wave_direction_of_second_swell_partition`
122	`mean_wave_direction_of_third_swell_partition`
123	`mean_wave_period`
124	`mean_wave_period_based_on_first_moment`
125	`mean_wave_period_based_on_first_moment_for_swell`
126	`mean_wave_period_based_on_first_moment_for_wind_waves`
127	`mean_wave_period_based_on_second_moment_for_swell`
128	`mean_wave_period_based_on_second_moment_for_wind_waves`
129	`mean_wave_period_of_first_swell_partition`
130	`mean_wave_period_of_second_swell_partition`
131	`mean_wave_period_of_third_swell_partition`
132	`mean_zero_crossing_wave_period`
133	`medium_cloud_cover`
134	`minimum_2m_temperature_since_previous_post_processing`
135	`minimum_total_precipitation_rate_since_previous_post_processing`
136	`minimum_vertical_gradient_of_refractivity_inside_trapping_layer`
137	`model_bathymetry`
138	`near_ir_albedo_for_diffuse_radiation`
139	`near_ir_albedo_for_direct_radiation`
140	`normalized_energy_flux_into_ocean`
141	`normalized_energy_flux_into_waves`
142	`normalized_stress_into_ocean`
143	`northward_gravity_wave_surface_stress`
144	`northward_turbulent_surface_stress`
145	`ocean_surface_stress_equivalent_10m_neutral_wind_direction`
146	`ocean_surface_stress_equivalent_10m_neutral_wind_speed`
147	`peak_wave_period`
148	`period_corresponding_to_maximum_individual_wave_height`
149	`potential_evaporation`
150	`precipitation_type`
151	`runoff`
152	`sea_ice_cover`
153	`sea_surface_temperature`
154	`significant_height_of_combined_wind_waves_and_swell`
155	`significant_height_of_total_swell`
156	`significant_height_of_wind_waves`
157	`significant_wave_height_of_first_swell_partition`
158	`significant_wave_height_of_second_swell_partition`
159	`significant_wave_height_of_third_swell_partition`
160	`skin_reservoir_content`
161	`skin_temperature`
162	`slope_of_sub_gridscale_orography`
163	`snow_albedo`
164	`snow_density`
165	`snow_depth`
166	`snow_evaporation`
167	`snowfall`
168	`snowmelt`
169	`soil_temperature_level_1`
170	`soil_temperature_level_2`
171	`soil_temperature_level_3`
172	`soil_temperature_level_4`
173	`soil_type`
174	`standard_deviation_of_filtered_subgrid_orography`
175	`standard_deviation_of_orography`
176	`sub_surface_runoff`
177	`surface_latent_heat_flux`
178	`surface_net_solar_radiation`
179	`surface_net_solar_radiation_clear_sky`
180	`surface_net_thermal_radiation`
181	`surface_net_thermal_radiation_clear_sky`
182	`surface_pressure`	Pressure at the surface
183	`surface_runoff`
184	`surface_sensible_heat_flux`
185	`surface_solar_radiation_downward_clear_sky`
186	`surface_solar_radiation_downwards`	Downward solar radiation flux at the surface
187	`surface_thermal_radiation_downward_clear_sky`
188	`surface_thermal_radiation_downwards`	Downward thermal radiation flux at the surface
189	`temperature_of_snow_layer`
190	`toa_incident_solar_radiation`
191	`top_net_solar_radiation`
192	`top_net_solar_radiation_clear_sky`
193	`top_net_thermal_radiation`
194	`top_net_thermal_radiation_clear_sky`
195	`total_cloud_cover`
196	`total_column_cloud_ice_water`
197	`total_column_cloud_liquid_water`
198	`total_column_ozone`
199	`total_column_rain_water`
200	`total_column_snow_water`
201	`total_column_supercooled_liquid_water`
202	`total_column_water`
203	`total_column_water_vapour`
204	`total_precipitation`	Total precipitation (rain and snow)
205	`total_sky_direct_solar_radiation_at_surface`
206	`total_totals_index`
207	`trapping_layer_base_height`
208	`trapping_layer_top_height`
209	`type_of_high_vegetation`
210	`type_of_low_vegetation`
211	`u_component_stokes_drift`
212	`uv_visible_albedo_for_diffuse_radiation`
213	`uv_visible_albedo_for_direct_radiation`
214	`v_component_stokes_drift`
215	`vertical_integral_of_divergence_of_cloud_frozen_water_flux`
216	`vertical_integral_of_divergence_of_cloud_liquid_water_flux`
217	`vertical_integral_of_divergence_of_geopotential_flux`
218	`vertical_integral_of_divergence_of_kinetic_energy_flux`
219	`vertical_integral_of_divergence_of_mass_flux`
220	`vertical_integral_of_divergence_of_moisture_flux`
221	`vertical_integral_of_divergence_of_ozone_flux`
222	`vertical_integral_of_divergence_of_thermal_energy_flux`
223	`vertical_integral_of_divergence_of_total_energy_flux`
224	`vertical_integral_of_eastward_cloud_frozen_water_flux`
225	`vertical_integral_of_eastward_cloud_liquid_water_flux`
226	`vertical_integral_of_eastward_geopotential_flux`
227	`vertical_integral_of_eastward_heat_flux`
228	`vertical_integral_of_eastward_kinetic_energy_flux`
229	`vertical_integral_of_eastward_mass_flux`
230	`vertical_integral_of_eastward_ozone_flux`
231	`vertical_integral_of_eastward_total_energy_flux`
232	`vertical_integral_of_eastward_water_vapour_flux`
233	`vertical_integral_of_energy_conversion`
234	`vertical_integral_of_kinetic_energy`
235	`vertical_integral_of_mass_of_atmosphere`
236	`vertical_integral_of_mass_tendency`
237	`vertical_integral_of_northward_cloud_frozen_water_flux`
238	`vertical_integral_of_northward_cloud_liquid_water_flux`
239	`vertical_integral_of_northward_geopotential_flux`
240	`vertical_integral_of_northward_heat_flux`
241	`vertical_integral_of_northward_kinetic_energy_flux`
242	`vertical_integral_of_northward_mass_flux`
243	`vertical_integral_of_northward_ozone_flux`
244	`vertical_integral_of_northward_total_energy_flux`
245	`vertical_integral_of_northward_water_vapour_flux`
246	`vertical_integral_of_potential_and_internal_energy`
247	`vertical_integral_of_potential_internal_and_latent_energy`
248	`vertical_integral_of_temperature`
249	`vertical_integral_of_thermal_energy`
250	`vertical_integral_of_total_energy`
251	`vertically_integrated_moisture_divergence`
252	`volumetric_soil_water_layer_1`
253	`volumetric_soil_water_layer_2`
254	`volumetric_soil_water_layer_3`
255	`volumetric_soil_water_layer_4`
256	`wave_spectral_directional_width`
257	`wave_spectral_directional_width_for_swell`
258	`wave_spectral_directional_width_for_wind_waves`
259	`wave_spectral_kurtosis`
260	`wave_spectral_peakedness`
261	`wave_spectral_skewness`
262	`zero_degree_level`	Height of 0 degC isotherm

Query Parameters

The CDS connector supports additional query parameters to customize data retrieval. These parameters can be passed via the query_params dictionary in the get_data() method.

Default Values

When downloading ERA5 data, the following default parameters are automatically applied:

Parameter	Default Value	Description
`product_type`	`"reanalysis"`	Type of ERA5 product
`format`	`"netcdf"`	Output file format
`daily_statistic`	`"daily_mean"`	Daily aggregation statistic
`frequency`	`"6_hourly"`	Temporal frequency of source data
`time_zone`	`"utc+00:00"`	Time zone for daily aggregation

Valid Parameter Values

`daily_statistic`

Controls how hourly data is aggregated to daily values:

"daily_mean" (default) - Daily average
"daily_maximum" - Daily maximum value
"daily_minimum" - Daily minimum value
"daily_standard_deviation" - Daily standard deviation

`frequency`

Specifies the temporal resolution of the source data:

"6_hourly" (default) - 6-hour intervals
"1hr" - Hourly data
"3hr" - 3-hour intervals
"day" - Daily data
"mon" - Monthly data
"sem" - Semi-annual data
"fx" - Fixed/time-invariant data

`time_zone`

Time zone for daily aggregation (UTC offset format):

"utc+00:00" (default) - UTC
"utc+01:00" through "utc+12:00" - Positive UTC offsets
"utc-01:00" through "utc-12:00" - Negative UTC offsets

`product_type`

Type of ERA5 product:

"reanalysis" (default) - Standard reanalysis product
"ensemble_mean" - Ensemble mean
"ensemble_members" - Individual ensemble members
"ensemble_spread" - Ensemble spread

Usage Examples

Basic Usage - List Bands

from terrakit import DataConnector

# Initialize CDS connector
dc = DataConnector(connector_type="climate_data_store")

# List all available bands
bands = dc.connector.list_bands(data_collection_name="derived-era5-single-levels-daily-statistics")

# Print band information
for band in bands[:5]:  # First 5 bands
    print(f"Band: {band['band_name']}")
    print(f"Description: {band.get('description', 'N/A')}")
    print()

Download with Default Parameters

from terrakit import DataConnector

# Initialize CDS connector
dc = DataConnector(connector_type="climate_data_store")

# Download data with default parameters
# (daily_mean, 6_hourly frequency, reanalysis product)
data = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-02",
    bbox=[-1.32, 51.06, -1.30, 51.08],  # [min_lon, min_lat, max_lon, max_lat]
    bands=["2m_temperature", "total_precipitation"]
)

print(f"Data shape: {data.shape}")
print(f"Dimensions: {data.dims}")

Override Default Parameters with query_params

from terrakit import DataConnector

# Initialize CDS connector
dc = DataConnector(connector_type="climate_data_store")

# Example 1: Get daily maximum temperature instead of mean
data_max = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-02",
    bbox=[-1.32, 51.06, -1.30, 51.08],
    bands=["2m_temperature"],
    query_params={"daily_statistic": "daily_maximum"}
)

# Example 2: Get hourly data instead of 6-hourly
data_hourly = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-02",
    bbox=[-1.32, 51.06, -1.30, 51.08],
    bands=["10m_u_component_of_wind", "10m_v_component_of_wind"],
    query_params={"frequency": "1hr"}
)

# Example 3: Multiple parameter overrides
data_custom = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-02",
    bbox=[-1.32, 51.06, -1.30, 51.08],
    bands=["2m_temperature", "total_precipitation"],
    query_params={
        "daily_statistic": "daily_minimum",
        "frequency": "3hr",
        "time_zone": "utc+03:00",
        "product_type": "ensemble_mean"
    }
)

# Example 4: Get daily standard deviation for precipitation
data_std = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-31",
    bbox=[-10.0, 35.0, 5.0, 45.0],  # Larger area over Europe
    bands=["total_precipitation"],
    query_params={"daily_statistic": "daily_standard_deviation"}
)

print(f"Standard deviation data shape: {data_std.shape}")

Save Data to File

from terrakit import DataConnector

# Initialize CDS connector
dc = DataConnector(connector_type="climate_data_store")

# Download and save data
data = dc.connector.get_data(
    data_collection_name="derived-era5-single-levels-daily-statistics",
    date_start="2025-01-01",
    date_end="2025-01-05",
    bbox=[-1.32, 51.06, -1.30, 51.08],
    bands=["2m_temperature", "total_precipitation"],
    query_params={"daily_statistic": "daily_mean"},
    save_file="era5_data"  # Will create era5_data_2025-01-01.tif, era5_data_2025-01-02.tif, etc.
)