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Soil temperature is a forecast variable in IFS. It needs to be initialised at each analysis cycle but there are relatively few directly measured observations. Soil surface (skin) temperature is derived from the expected air temperature structure in the lowest 2 m together with energy fluxes (from HTESSEL) and an analysis of observed screen level (2 m) temperatures.
Soil moisture
Soil moisture is a measure of the water content within the ground.
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The evaluation and prediction of soil moisture is important as this governs the efficiency of evapotranspiration from vegetation. Thus:
- If soil moisture content is too little (below the Permanent Wilting Point, PWP) the soil is dry. The plant cannot extract any more water and dies.
- Higher soil moisture implies greater evapotranspiration efficiency. This reaches a maximum at Field Capacity (CAP) when the soil is wet and contains all the water it can hold against gravity. Not all water drains through the soil and some moisture is retained within the soil pores and cavities. The soil is said to be at Field Capacity when large soil pores are filled with both air and water while the smaller pores are full of water. These conditions are considered ideal for crop growth and plants flourish best.
- As soil moisture increases beyond Field Capacity
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- (CAP) the large soil pores are increasingly filled with water. However, the efficiency of plant evapotranspiration remains the same.
- The soil is said to be at Full Saturation (SAT) when all soil pores, large and small, are filled with water. Flooding is possible as a result of additional precipitation.
Values of absolute soil water content and/or absolute evapotranspiration vary greatly with location, even within a small European country.
For each soil type and location there is a pre-defined value of the ability to hold moisture and this is used to assess the impact of model rainfall. The HTESSEL system includes allowance for water capture by interception of precipitation and dew fall, and at the same time, there are infiltration and run-off schemes that take account of soil texture and the standard deviation of sub-grid scale orography.
Measurement of soil moisture
Soil moisture is a forecast variable in IFS. It needs to be initialised at each analysis cycle but there are very few directly measured observations. Soil surface (skin) moisture is derived from:
- the expected air temperature and moisture structure in the lowest 2 m together with energy fluxes (from HTESSEL) and an analysis of observed screen level (2 m) humidities.
- satellite soil moisture data from the ASCAT sensor on the MetOp satellites
- data from the Soil Moisture and Ocean Salinity satellite mission (SMOS) is used for operational monitoring (see Fig2.1.4.5-2).
The 2m temperature and humidity are diagnostic parameters of the model, so their analysis only has an indirect effect on atmosphere through the soil and snow variables.
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Plots of absolute water content and/or absolute evapotranspiration are difficult to interpret and inter-compare. So for ease of use, ECMWF soil moisture charts show how the present state of the soil at a given location compared to all possible states in terms of a percentage.
Dry soil is made up of soil particles and spaces between them. The proportion of space found in dry soil is a function of the soil type and this varies with location. Some or all of these spaces can be filled by water and the total amount of water held within an unsaturated soil is termed soil moisture. Volumetric soil moisture content (SM), is the proportion of moisture held within unsaturated soil. The soil moisture content can vary between:
- dry soil (zero).
- saturated soil (SAT) where saturation varies according to soil type.
There are two key discontinuities between dry and saturated soil:
- the permanent wilting point (PWP).
- the field capacity (CAP).
Thus 0 < PWP < CAP < SAT.
Evaporation from bare soil depends on the soil moisture alone.
Evapotranspiration
Plant evapotranspiration efficiency varies between the permanent wilting point (PWP) and field capacity (CAP). Evapotranspiration efficiency:
- is 0% below the permanent wilting point (PWP) because there is insufficient moisture in the soil and plants cannot live. However, there may be limited evaporation from bare soil.
- increases linearly from 0% at the permanent wilting point (PWP) to 100% at field capacity (CAP) as the volumetric soil moisture increases.
- is 100% above field capacity (CAP) as plants continue to flourish.
Evapotranspiration depends on the type and cover of vegetation and these depend upon the soil moisture.
Variations with location and vegetation in the model
In the ECMWF model:
- The soil type and the associated SAT value is a function of location. It does not vary with depth nor with time of year.
- The proportion of bare soil is a function of location. It does not vary with time of year.
- PWP and CAP are functions of location. They do not vary with time of year. They are primarily a function of soil type but also depend on:
- type of high vegetation.
- type of low vegetation.
- cover of high vegetation.
- cover of low vegetation.
- Land partly or completely covered in snow is treated rather differently as fluxes from the snow surface are also incorporated.
Measurement of soil moisture
Soil moisture is a forecast variable in IFS. It needs to be initialised at each analysis cycle but there are very few directly measured observations. Soil surface (skin) moisture is derived from:
- the expected air temperature and moisture structure in the lowest 2 m together with energy fluxes (from HTESSEL) and an analysis of observed screen level (2 m) humidities.
- satellite soil moisture data from the ASCAT sensor on the MetOp satellites
- data from the Soil Moisture and Ocean Salinity satellite mission (SMOS) is used for operational monitoring (see Fig2.1.4.5-2).
Fig2.1.4.5-2: Measurements from the Soil Moisture and Ocean Salinity satellite mission (SMOS) polar orbiter satellite data. At L-band frequency (1.4 GHz) the surface emission is strongly related to soil moisture over continental surfaces. Surface radiation at this frequency is influenced by the vegetation layer (and hence soil moisture if the vegetation type is known), but proximity of lakes etc cause difficulties with interpretation.
Model derived evapotranspiration
Model evaporation from land surfaces is the sum of evapotranspiration from plants and evaporation from bare soil. Both depend on the soil moisture.
However, evapotranspiration also depends crucially on relative humidity and wind speed in the lowest layer of the atmosphere.
The "leaf area index" helps determine the actual evapotranspiration. It is a function of location. It does not vary with time of year. The leaf area index plot is available.
The 2m temperature and humidity are diagnostic parameters of the model, so their analysis only has an indirect effect on atmosphere through the soil and snow variables.
Soil moisture plots
Soil moisture plots are structured as above. The range of possible values is divided into three bands, which themselves are separated by the PWP and CAP discontinuities:
- SM < PWP (sandy shades) show living vegetation cannot be sustained and evapotranspiration efficiency is 0%.
- Values show soil moisture (SM) as a percentage of the permanent wilting point (PWP) value. This is called the "soil moisture residue". The lowest possible value of the "soil moisture residue" is 0%.
- The darkest shade signifies that with input of a little more water, plants may nominally start to grow again and evapotranspiration recommence.
- PWP < SM < CAP (yellow and green shades) show evapotranspiration efficiency. This increases linearly from 0% to 100% as volumetric SM increases.
- Lighter shades indicate that plants are close to dying.
- CAP < SAT (blue shades) show excess of soil moisture but evapotranspiration efficiency remains at its maximum level of 100%.
- Values are the field capacity excess (SM - CAP as a proportion of SAT - CAP); this is called the field capacity excess and is analogous to "soil moisture supersaturation". The highest possible value of the "field capacity excess" is 100%.
- Darker shades show higher soil moisture saturation of the soil. The darkest shade signifies that the soil (in the model) is very close to or in a flooded state, particularly if this occurs through several soil layers. Where fields are saturated, further rain will flow quickly into streams and rivers. These can rise rapidly depending on their existing state and local topography etc and bring a risk of flash flooding .
- The soil is, in a sense, 'super-saturated' because:
- evapotranspiration cannot exceed its value at CAP,
- excess water (above CAP) cannot be held in the soil layer and will begin to filter down under gravity into the soil layer below or run off as streams and rivers. Super-saturated soil moisture levels will not be maintained without continual replenishment.
The model represents the soil using 4 layers. The soil moisture parameters on the available charts show :
- soil moisture variables for the top layer (Layer 1, 7cm deep), This layer has the greatest impact on the atmosphere. It is 7cm deep.
- average soil moisture variables for the top three layers (Layer 1, 2 and 3, 1 metre deep). This is derived by summing the contributions from Layer 1 (0-7cm), Layer 2 (7-28cm depth) and Layer 3 (28-100cm depth), weighted according to thickness. Layers 2 and 3 (and indeed 4) have an impact on the atmosphere via:
- plants with deeper roots.
- moisture transfer between soil layers. This can operate both:
- upwards by capillary action.
- downwards under gravity
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Soil moisture charts
Fig2.1.4.5-3: Examples of Soil Moisture at T+00 and T+192 DT 00UTC 06 March 2023.
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