GEE数据集——ERA5-陆地每日汇总--ECMWF气候再分析数据集

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数据集说明

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Collection Snippet

空间信息

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Bands Table

变量

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简介

注（2024-04-19）： 由于哥白尼气候数据存储的现代化工作受到影响，ECMWF 数据集的生产可能会中断。 提供商未说明计划完成日期，详情请参见用户论坛。 ERA5-陆地是一个再分析数据集，以比ERA5更高的分辨率提供了几十年陆地变量演变的一致视图。 ERA5-陆地是通过重放 ECMWF ERA5 气候再分析的陆地部分而生成的。 再分析利用物理定律将模式数据与世界各地的观测数据相结合，形成一个全球完整一致的数据集。 再分析产生的数据可追溯到几十年前，能准确描述过去的气候。 该数据集包括 CDS 上提供的全部 50 个变量，是 ECMWF ERA5 陆地小时数据的每日总和，包括流动带和非流动带。 流量带是通过收集次日第一小时的数据形成的，其中包含前一天的总和，而非流量带则是通过平均当天所有小时数据形成的。 流量带用"_sum "标识符标注，这种方法与哥白尼气候数据存储库生成的日数据不同，后者也对流量带进行平均。 日总量已预先计算，以方便许多需要方便快捷地访问数据的应用。

ERA5-陆地每日汇总数据可提供从 1950 年到三个月的实时数据。 更多信息，请访问哥白尼气候数据商店。 降水量和其他流量（累积）带偶尔会出现负值，这在物理上是不合理的。 这个问题是由于 GRIB 格式保存数据的方式造成的：它将数据简化或 "打包 "成更小、更不精确的数字，这可能会带来误差。 当数据变化很大时，这些误差就会变得更严重。 正因为如此，当我们查看一整天的数据来计算日降雨总量时，有时某一次记录的最高降雨量可能会比全天测得的总降雨量要大。 要了解更多信息，请参阅： "为什么有时会出现小的负累积降水量？Climate Data Store

数据集说明

Dataset Availability

1950-01-02T00:00:00 -

Dataset Provider

Daily Aggregates: Google and Copernicus Climate Data Store

Collection Snippet

Copied

ee.ImageCollection("ECMWF/ERA5_LAND/DAILY_AGGR")

空间信息

Resolution

11132 meters

Bands Table

Name	Description	Units
dewpoint_temperature_2m	Temperature to which the air, at 2 meters above the surface of the Earth, would have to be cooled for saturation to occur. It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity. 2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions.	K
temperature_2m	Temperature of air at 2m above the surface of land, sea or in-land waters. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions.	K
skin_temperature	Temperature of the surface of the Earth. The skin temperature is the theoretical temperature that is required to satisfy the surface energy balance. It represents the temperature of the uppermost surface layer, which has no heat capacity and so can respond instantaneously to changes in surface fluxes. Skin temperature is calculated differently over land and sea.	K
soil_temperature_level_1	Temperature of the soil in layer 1 (0 - 7 cm) of the ECMWF Integrated Forecasting System. The surface is at 0 cm. Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.	K
soil_temperature_level_2	Temperature of the soil in layer 2 (7-28 cm) of the ECMWF Integrated Forecasting System.	K
soil_temperature_level_3	Temperature of the soil in layer 3 (28-100 cm) of the ECMWF Integrated Forecasting System.	K
soil_temperature_level_4	Temperature of the soil in layer 4 (100-289 cm) of the ECMWF Integrated Forecasting System.	K
lake_bottom_temperature	Temperature of water at the bottom of inland water bodies (lakes, reservoirs, rivers) and coastal waters. ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System. The model keeps lake depth and surface area (or fractional cover) constant in time.	K
lake_ice_depth	The thickness of ice on inland water bodies (lakes, reservoirs and rivers) and coastal waters. The ECMWF Integrated Forecasting System (IFS) represents the formation and melting of ice on inland water bodies (lakes, reservoirs and rivers) and coastal water. A single ice layer is represented. This parameter is the thickness of that ice layer.	m
lake_ice_temperature	The temperature of the uppermost surface of ice on inland water bodies (lakes, reservoirs, rivers) and coastal waters. The ECMWF Integrated Forecasting System represents the formation and melting of ice on lakes. A single ice layer is represented.	K
lake_mix_layer_depth	The thickness of the upper most layer of an inland water body (lake, reservoirs, and rivers) or coastal waters that is well mixed and has a near constant temperature with depth (uniform distribution of temperature). The ECMWF Integrated Forecasting System represents inland water bodies with two layers in the vertical, the mixed layer above and the thermocline below. Thermoclines upper boundary is located at the mixed layer bottom, and the lower boundary at the lake bottom. Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.	m
lake_mix_layer_temperature	The temperature of the upper most layer of inland water bodies (lakes, reservoirs and rivers) or coastal waters) that is well mixed. The ECMWF Integrated Forecasting System represents inland water bodies with two layers in the vertical, the mixed layer above and the thermocline below. Thermoclines upper boundary is located at the mixed layer bottom, and the lower boundary at the lake bottom. Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.	K
lake_shape_factor	This parameter describes the way that temperature changes with depth in the thermocline layer of inland water bodies (lakes, reservoirs and rivers) and coastal waters. It is used to calculate the lake bottom temperature and other lake-related parameters. The ECMWF Integrated Forecasting System represents inland and coastal water bodies with two layers in the vertical, the mixed layer above and the thermocline below where temperature changes with depth.
lake_total_layer_temperature	The mean temperature of total water column in inland water bodies (lakes, reservoirs and rivers) and coastal waters. The ECMWF Integrated Forecasting System represents inland water bodies with two layers in the vertical, the mixed layer above and the thermocline below where temperature changes with depth. This parameter is the mean over the two layers.	K
snow_albedo	It is defined as the fraction of solar (shortwave) radiation reflected by the snow, across the solar spectrum, for both direct and diffuse radiation. It is a measure of the reflectivity of the snow covered grid cells. Values vary between 0 and 1. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above.
snow_cover	It represents the fraction (0-1) of the cell / grid-box occupied by snow (similar to the cloud cover fields of ERA5).	%
snow_density	Mass of snow per cubic meter in the snow layer. The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.	kg/m^3
snow_depth	Instantaneous grib-box average of the snow thickness on the ground (excluding snow on canopy).	m
snow_depth_water_equivalent	Depth of snow from the snow-covered area of a grid box. Its units are meters of water equivalent, so it is the depth the water would have if the snow melted and was spread evenly over the whole grid box. The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.	m of water equivalent
snowfall_sum	Accumulated total snow that has fallen to the Earth's surface. It consists of snow due to the large-scale atmospheric flow (horizontal scales greater than around a few hundred meters) and convection where smaller scale areas (around 5km to a few hundred kilometers) of warm air rise. If snow has melted during the period over which this variable was accumulated, then it will be higher than the snow depth. This variable is the total amount of water accumulated from the beginning of the forecast time to the end of the forecast step. The units given measure the depth the water would have if the snow melted and was spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.	m of water equivalent
snowmelt_sum	Melting of snow averaged over the grid box (to find melt over snow, divide by snow fraction). This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
temperature_of_snow_layer	This variable gives the temperature of the snow layer from the ground to the snow-air interface. The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.	K
skin_reservoir_content	Amount of water in the vegetation canopy and/or in a thin layer on the soil. It represents the amount of rain intercepted by foliage, and water from dew. The maximum amount of 'skin reservoir content' a grid box can hold depends on the type of vegetation, and may be zero. Water leaves the 'skin reservoir' by evaporation.	m of water equivalent
volumetric_soil_water_layer_1	Volume of water in soil layer 1 (0 - 7 cm) of the ECMWF Integrated Forecasting System. The surface is at 0 cm. The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.	Volume fraction
volumetric_soil_water_layer_2	Volume of water in soil layer 2 (7 -28 cm) of the ECMWF Integrated Forecasting System.	Volume fraction
volumetric_soil_water_layer_3	Volume of water in soil layer 3 (28-100 cm) of the ECMWF Integrated Forecasting System.	Volume fraction
volumetric_soil_water_layer_4	Volume of water in soil layer 4 (100-289 cm) of the ECMWF Integrated Forecasting System.	Volume fraction
forecast_albedo	Is a measure of the reflectivity of the Earth's surface. It is the fraction of solar (shortwave) radiation reflected by Earth's surface, across the solar spectrum, for both direct and diffuse radiation. Values are between 0 and 1. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above, land has intermediate values between about 0.1 and 0.4 and the ocean has low values of 0.1 or less. Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The portion that is reflected by the Earth's surface depends on the albedo. In the ECMWF Integrated Forecasting System (IFS), a climatological background albedo (observed values averaged over a period of several years) is used, modified by the model over water, ice and snow. Albedo is often shown as a percentage (%).
surface_latent_heat_flux_sum	Exchange of latent heat with the surface through turbulent diffusion. This variables is accumulated from the beginning of the forecast time to the end of the forecast step. By model convention, downward fluxes are positive.	J/m^2
surface_net_solar_radiation_sum	Amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo). Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The difference between downward and reflected solar radiation is the surface net solar radiation. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units are joules per square meter (J m-2). To convert to watts per square meter (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.	J/m^2
surface_net_thermal_radiation_sum	Net thermal radiation at the surface. Accumulated field from the beginning of the forecast time to the end of the forecast step. By model convention downward fluxes are positive.	J/m^2
surface_sensible_heat_flux_sum	Transfer of heat between the Earth's surface and the atmosphere through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation). The magnitude of the sensible heat flux is governed by the difference in temperature between the surface and the overlying atmosphere, wind speed and the surface roughness. For example, cold air overlying a warm surface would produce a sensible heat flux from the land (or ocean) into the atmosphere. This is a single level variable and it is accumulated from the beginning of the forecast time to the end of the forecast step. The units are joules per square meter (J m-2). To convert to watts per square meter (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.	J/m^2
surface_solar_radiation_downwards_sum	Amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth. This variable comprises both direct and diffuse solar radiation. Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this variable). To a reasonably good approximation, this variable is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model variables with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units are joules per square meter (J m-2). To convert to watts per square meter (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.	J/m^2
surface_thermal_radiation_downwards_sum	Amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches the Earth's surface. The surface of the Earth emits thermal radiation, some of which is absorbed by the atmosphere and clouds. The atmosphere and clouds likewise emit thermal radiation in all directions, some of which reaches the surface (represented by this variable). This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units are joules per square meter (J m-2). To convert to watts per square meter (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.	J/m^2
evaporation_from_bare_soil_sum	The amount of evaporation from bare soil at the top of the land surface. This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
evaporation_from_open_water_surfaces_excluding_oceans_sum	Amount of evaporation from surface water storage like lakes and inundated areas but excluding oceans. This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
evaporation_from_the_top_of_canopy_sum	The amount of evaporation from the canopy interception reservoir at the top of the canopy. This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
evaporation_from_vegetation_transpiration_sum	Amount of evaporation from vegetation transpiration. This has the same meaning as root extraction i.e. the amount of water extracted from the different soil layers. This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
potential_evaporation_sum	Potential evaporation (pev) in the current ECMWF model is computed, by making a second call to the surface energy balance routine with the vegetation variables set to "crops/mixed farming" and assuming no stress from soil moisture. In other words, evaporation is computed for agricultural land as if it is well watered and assuming that the atmosphere is not affected by this artificial surface condition. The latter may not always be realistic. Although pev is meant to provide an estimate of irrigation requirements, the method can give unrealistic results in arid conditions due to too strong evaporation forced by dry air. This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m
runoff_sum	Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This variable is the total amount of water accumulated from the beginning of the forecast time to the end of the forecast step. The units of runoff are depth in meters. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated meters produced here. Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.	m
snow_evaporation_sum	Evaporation from snow averaged over the grid box (to find flux over snow, divide by snow fraction). This variable is accumulated from the beginning of the forecast time to the end of the forecast step.	m of water equivalent
sub_surface_runoff_sum	Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground(sub-surface runoff) and the sum of these two is simply called 'runoff'. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units of runoff are depth in meters. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated meters produced here. Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.	m
surface_runoff_sum	Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This variable is the total amount of water accumulated from the beginning of the forecast time to the end of the forecast step. The units of runoff are depth in meters. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated meters produced here. Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.	m
total_evaporation_sum	Accumulated amount of water that has evaporated from the Earth's surface, including a simplified representation of transpiration (from vegetation), into vapor in the air above. This variable is accumulated from the beginning of the forecast to the end of the forecast step. The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate condensation.	m of water equivalent
u_component_of_wind_10m	Eastward component of the 10m wind. It is the horizontal speed of air moving towards the east, at a height of ten meters above the surface of the Earth, in meters per second. Care should be taken when comparing this variable with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System. This variable can be combined with the V component of 10m wind to give the speed and direction of the horizontal 10m wind.	m/s
v_component_of_wind_10m	Northward component of the 10m wind. It is the horizontal speed of air moving towards the north, at a height of ten meters above the surface of the Earth, in meters per second. Care should be taken when comparing this variable with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System. This variable can be combined with the U component of 10m wind to give the speed and direction of the horizontal 10m wind.	m/s
surface_pressure	Pressure (force per unit area) of the atmosphere on the surface of land, sea and in-land water. It is a measure of the weight of all the air in a column vertically above the area of the Earth's surface represented at a fixed point. Surface pressure is often used in combination with temperature to calculate air density. The strong variation of pressure with altitude makes it difficult to see the low and high pressure systems over mountainous areas, so mean sea level pressure, rather than surface pressure, is normally used for this purpose. The units of this variable are Pascals (Pa). Surface pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb = 100 Pa).	Pa
total_precipitation_sum	Accumulated liquid and frozen water, including rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation (that precipitation which is generated by large-scale weather patterns, such as troughs and cold fronts) and convective precipitation (generated by convection which occurs when air at lower levels in the atmosphere is warmer and less dense than the air above, so it rises). Precipitation variables do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units of precipitation are depth in meters. It is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.	m
leaf_area_index_high_vegetation	One-half of the total green leaf area per unit horizontal ground surface area for high vegetation type.	Area fraction
leaf_area_index_low_vegetation	One-half of the total green leaf area per unit horizontal ground surface area for low vegetation type.	Area fraction
dewpoint_temperature_2m_min	daily minimum dewpoint_temperature_2m value	K
dewpoint_temperature_2m_max	daily maximum dewpoint_temperature_2m value	K
temperature_2m_min	daily minimum temperature_2m value	K
temperature_2m_max	daily maximum temperature_2m value	K
skin_temperature_min	daily minimum skin_temperature value	K
skin_temperature_max	daily maximum skin_temperature value	K
soil_temperature_level_1_min	daily minimum soil_temperature_level_1 value	K
soil_temperature_level_1_max	daily maximum soil_temperature_level_1 value	K
soil_temperature_level_2_min	daily minimum soil_temperature_level_2 value	K
soil_temperature_level_2_max	daily maximum soil_temperature_level_2 value	K
soil_temperature_level_3_min	daily minimum soil_temperature_level_3 value	K
soil_temperature_level_3_max	daily maximum soil_temperature_level_3 value	K
soil_temperature_level_4_min	daily minimum soil_temperature_level_4 value	K
soil_temperature_level_4_max	daily maximum soil_temperature_level_4 value	K
lake_bottom_temperature_min	daily minimum lake_bottom_temperature value	K
lake_bottom_temperature_max	daily maximum lake_bottom_temperature value	K
lake_ice_depth_min	daily minimum lake_ice_depth value	m
lake_ice_depth_max	daily maximum lake_ice_depth value	m
lake_ice_temperature_min	daily minimum lake_ice_temperature value	K
lake_ice_temperature_max	daily maximum lake_ice_temperature value	K
lake_mix_layer_depth_min	daily minimum lake_mix_layer_depth value	m
lake_mix_layer_depth_max	daily maximum lake_mix_layer_depth value	m
lake_mix_layer_temperature_min	daily minimum lake_mix_layer_temperature value	K
lake_mix_layer_temperature_max	daily maximum lake_mix_layer_temperature value	K
lake_shape_factor_min	daily minimum lake_shape_factor value
lake_shape_factor_max	daily maximum lake_shape_factor value
lake_total_layer_temperature_min	daily minimum lake_total_layer_temperature value	K
lake_total_layer_temperature_max	daily maximum lake_total_layer_temperature value	K
snow_albedo_min	daily minimum snow_albedo value
snow_albedo_max	daily maximum snow_albedo value
snow_cover_min	daily minimum snow_cover value	%
snow_cover_max	daily maximum snow_cover value	%
snow_density_min	daily minimum snow_density value	kg/m^3
snow_density_max	daily maximum snow_density value	kg/m^3
snow_depth_min	daily minimum snow_depth value	m
snow_depth_max	daily maximum snow_depth value	m
snow_depth_water_equivalent_min	daily minimum snow_depth_water_equivalent value	m of water equivalent
snow_depth_water_equivalent_max	daily maximum snow_depth_water_equivalent value	m of water equivalent
snowfall_min	daily minimum snowfall value	m of water equivalent
snowfall_max	daily maximum snowfall value	m of water equivalent
snowmelt_min	daily minimum snowmelt value	m of water equivalent
snowmelt_max	daily maximum snowmelt value	m of water equivalent
temperature_of_snow_layer_min	daily minimum temperature_of_snow_layer value	K
temperature_of_snow_layer_max	daily maximum temperature_of_snow_layer value	K
skin_reservoir_content_min	daily minimum skin_reservoir_content value	m of water equivalent
skin_reservoir_content_max	daily maximum skin_reservoir_content value	m of water equivalent
volumetric_soil_water_layer_1_min	daily minimum volumetric_soil_water_layer_1 value	Volume fraction
volumetric_soil_water_layer_1_max	daily maximum volumetric_soil_water_layer_1 value	Volume fraction
volumetric_soil_water_layer_2_min	daily minimum volumetric_soil_water_layer_2 value	Volume fraction
volumetric_soil_water_layer_2_max	daily maximum volumetric_soil_water_layer_2 value	Volume fraction
volumetric_soil_water_layer_3_min	daily minimum volumetric_soil_water_layer_3 value	Volume fraction
volumetric_soil_water_layer_3_max	daily maximum volumetric_soil_water_layer_3 value	Volume fraction
volumetric_soil_water_layer_4_min	daily minimum volumetric_soil_water_layer_4 value	Volume fraction
volumetric_soil_water_layer_4_max	daily maximum volumetric_soil_water_layer_4 value	Volume fraction
forecast_albedo_min	daily minimum forecast_albedo value
forecast_albedo_max	daily maximum forecast_albedo value
surface_latent_heat_flux_min	daily minimum surface_latent_heat_flux value	J/m^2
surface_latent_heat_flux_max	daily maximum surface_latent_heat_flux value	J/m^2
surface_net_solar_radiation_min	daily minimum surface_net_solar_radiation value	J/m^2
surface_net_solar_radiation_max	daily maximum surface_net_solar_radiation value	J/m^2
surface_net_thermal_radiation_min	daily minimum surface_net_thermal_radiation value	J/m^2
surface_net_thermal_radiation_max	daily maximum surface_net_thermal_radiation value	J/m^2
surface_sensible_heat_flux_min	daily minimum surface_sensible_heat_flux value	J/m^2
surface_sensible_heat_flux_max	daily maximum surface_sensible_heat_flux value	J/m^2
surface_solar_radiation_downwards_min	daily minimum surface_solar_radiation_downwards value	J/m^2
surface_solar_radiation_downwards_max	daily maximum surface_solar_radiation_downwards value	J/m^2
surface_thermal_radiation_downwards_min	daily minimum surface_thermal_radiation_downwards value	J/m^2
surface_thermal_radiation_downwards_max	daily maximum surface_thermal_radiation_downwards value	J/m^2
evaporation_from_bare_soil_min	daily minimum evaporation_from_bare_soil value	m of water equivalent
evaporation_from_bare_soil_max	daily maximum evaporation_from_bare_soil value	m of water equivalent
evaporation_from_open_water_surfaces_excluding_oceans_min	daily minimum evaporation_from_open_water_surfaces_excluding_oceans value	m of water equivalent
evaporation_from_open_water_surfaces_excluding_oceans_max	daily maximum evaporation_from_open_water_surfaces_excluding_oceans value	m of water equivalent
evaporation_from_the_top_of_canopy_min	daily minimum evaporation_from_the_top_of_canopy value	m of water equivalent
evaporation_from_the_top_of_canopy_max	daily maximum evaporation_from_the_top_of_canopy value	m of water equivalent
evaporation_from_vegetation_transpiration_min	daily minimum evaporation_from_vegetation_transpiration value	m of water equivalent
evaporation_from_vegetation_transpiration_max	daily maximum evaporation_from_vegetation_transpiration value	m of water equivalent
potential_evaporation_min	daily minimum potential_evaporation value	m
potential_evaporation_max	daily maximum potential_evaporation value	m
runoff_min	daily minimum runoff value	m
runoff_max	daily maximum runoff value	m
snow_evaporation_min	daily minimum snow_evaporation value	m of water equivalent
snow_evaporation_max	daily maximum snow_evaporation value	m of water equivalent
sub_surface_runoff_min	daily minimum sub_surface_runoff value	m
sub_surface_runoff_max	daily maximum sub_surface_runoff value	m
surface_runoff_min	daily minimum surface_runoff value	m
surface_runoff_max	daily maximum surface_runoff value	m
total_evaporation_min	daily minimum total_evaporation value	m of water equivalent
total_evaporation_max	daily maximum total_evaporation value	m of water equivalent
u_component_of_wind_10m_min	daily minimum u_component_of_wind_10m value	m/s
u_component_of_wind_10m_max	daily maximum u_component_of_wind_10m value	m/s
v_component_of_wind_10m_min	daily minimum v_component_of_wind_10m value	m/s
v_component_of_wind_10m_max	daily maximum v_component_of_wind_10m value	m/s
surface_pressure_min	daily minimum surface_pressure value	Pa
surface_pressure_max	daily maximum surface_pressure value	Pa
total_precipitation_min	daily minimum total_precipitation value	m
total_precipitation_max	daily maximum total_precipitation value	m
leaf_area_index_high_vegetation_min	daily minimum leaf_area_index_high_vegetation value	Area fraction
leaf_area_index_high_vegetation_max	daily maximum leaf_area_index_high_vegetation value	Area fraction
leaf_area_index_low_vegetation_min	daily minimum leaf_area_index_low_vegetation value	Area fraction
leaf_area_index_low_vegetation_max	daily maximum leaf_area_index_low_vegetation value	Area fraction

变量

NameTypeDescriptiondayInt

Calendar day

monthInt

Calendar month

yearInt

Calendar year

代码

var dataset = ee.ImageCollection('ECMWF/ERA5_LAND/DAILY_AGGR').first();var visualization = {bands: ['temperature_2m'],min: 250,max: 320,palette: ['000080', '0000d9', '4000ff', '8000ff', '0080ff', '00ffff','00ff80', '80ff00', 'daff00', 'ffff00', 'fff500', 'ffda00','ffb000', 'ffa400', 'ff4f00', 'ff2500', 'ff0a00', 'ff00ff',]
};
Map.setCenter(70, 45, 3);
Map.addLayer(dataset, visualization, 'Air temperature (K) at 2m height', true, 0.8);

代码链接

https://code.earthengine.google.com/?scriptPath=Examples%3ADatasets%2FECMWF%2FECMWF_ERA5_LAND_DAILY_AGGR

结果

引用

Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (<date of access>), doi:10.24381/cds.68d2bb30 

许可

请按照哥白尼 C3S/CAMS 许可协议中的规定，确认ERA5-Land 的使用： 5.1.1 当被许可人向公众传播或分发哥白尼产品时，被许可人应使用以下或任何类似通知告知接收者其来源： "使用哥白尼气候变化服务信息[年份]生成"。2 当被许可人制作或协助制作包含改编或修改的哥白尼产品的出版物或分发时，被许可人应提供以下或任何类似的通知："包含修改的哥白尼气候变化服务信息[年份]"；第5.1.1和5.1.2条所涉及的任何此类出版物或分发应说明欧盟委员会或ECMWF对其所包含的哥白尼信息或数据的任何使用均不承担责任。

网址推荐

0代码在线构建地图应用

https://www.mapmost.com/#/?source_inviter=CnVrwIQs 

机器学习

https://www.cbedai.net/xg