Product Information: Data: Anomalies for probabilistic projections (25km) over UK, 1961-2100

Process Title:

Data: Anomalies for probabilistic projections (25km) over UK, 1961-2100

Abstract:

Generates a subset of time series data from the probabilistic projections for one variable. Results are available for anomalies for a given emissions scenario, temporal average, time, location and sampling method (using all samples, a random sample, a subset by specfic samples, or by distribution characteristics).

User Guide:

For guidance on the Representative Concentration Pathways (RCP) and how to interpret the plots, please see the guidance pages.

Warning:

Before using this product, please read the UKCP18 Guidance on Caveats and Limitations as well as the conditions of us under the Open Government Licence.

Icon:

data

Is process cachable?:

False

Product Inputs: Data: Anomalies for probabilistic projections (25km) over UK, 1961-2100

Process Inputs

Parameter name	Title	Abstract	Data type	Item or array	Permitted lengths	Allowed values	Labels displayed for allowed values	Is dynamic?
Collection	Data source		string	item		land-prob	Probabilistic Projections for the UK	False
Variable	Variable	A climate variable anomaly is the difference of a future climate variable compared to a past or present climate (e.g. 1981-2000). Anomalies can be expressed in absolute values (e.g. degrees Celsius change for temperature) are relative values (e.g. percentage change for precipitation)	string	list	1-4	tasAnom prAnom tasmaxAnom tasminAnom hussAnom pslAnom rlsAnom rsdsAnom rssAnom cltAnom	Mean air temperature anomaly at 1.5m (°C) Precipitation rate anomaly (%) Maximum air temperature anomaly at 1.5m (°C) Minimum air temperature anomaly at 1.5m (°C) Specific humidity percentage change anomaly at 1.5m (%) Sea level pressure anomaly (hPa) Net Surface long wave flux anomaly (W m-2) Total downward short wave flux anomaly (W m-2) Net Surface short wave flux anomaly (W m-2) Total cloud anomaly (%)	False
Baseline	Baseline period	Three baseline periods are available to which you can compare changes in future climate: 1981-2000 - used in the UKCP18 science reports, key messages, maps and graphs. 1961-1990 - used in UKCP09 and the State of the UK Climate Report. 1981-2010 - used in the State of the UK Climate Report and by the World Meteorological Organisation	string	item		b6190 b8100 b8110	1961-1990 1981-2000 1981-2010	False
Scenario	Scenario		string	item		rcp26 rcp45 rcp60 rcp85 sres-a1b	RCP2.6 RCP4.5 RCP6.0 RCP8.5 SRES A1B	False
Line1	Line1		line	item				False
Area	Area		map	item				False
Line2	Line2		line	item				False
TemporalAverage	Temporal average		string	item		mall jan feb mar apr may jun jul aug sep oct nov dec sall djf mam jja son ann	Monthly:ALL Monthly:January Monthly:February Monthly:March Monthly:April Monthly:May Monthly:June Monthly:July Monthly:August Monthly:September Monthly:October Monthly:November Monthly:December Seasonal:ALL Seasonal:Winter (Dec-Jan-Feb) Seasonal:Spring (Mar-Apr-May) Seasonal:Summer (Jun-Jul-Aug) Seasonal:Autumn (Sep-Oct-Nov) Annual	False
TimeSliceDuration	Time slice duration	You can select data for one particular year or time slices, i.e. averaged over a number of years (30-year times-slices were available in UKCP09 relative to 1961-1990 baseline)	string	item				True
TimeSlice	Time slice		string	item				True
Year	Time slice		datetime	item				True
Line3	Line3		line	item				False
SamplingMethod	Sampling method		string	item		all random id subset	Select all Random Sample by ID Sample by a subset of the probabilities	False
RandomSamplingCount	Specify the number of random samples		int	item				True
SamplingIds	Specify the sample IDs in the text box below	Accepts between 100 and 3000 IDs specified as space-delimited or comma-separated numbers	int	list				True
SamplingSubsetCount	Number of sampling variables		radio	item				True
SamplingVariable1	Sampling Variable	A climate variable anomaly is the difference of a future climate variable compared to a past or present climate (e.g. 1981-2000). Anomalies can be expressed in absolute values (e.g. degrees Celsius change for temperature) are relative values (e.g. percentage change for precipitation)	string	item				True
SamplingTemporalAverage1	Sampling Temporal Average		string	item				True
SamplingPercentile1	Sampling Percentile		int	item				True
SamplingVariable2	Sampling Variable - 2	A climate variable anomaly is the difference of a future climate variable compared to a past or present climate (e.g. 1981-2000). Anomalies can be expressed in absolute values (e.g. degrees Celsius change for temperature) are relative values (e.g. percentage change for precipitation)	string	item				True
SamplingTemporalAverage2	Sampling Temporal Average - 2		string	item				True
SamplingPercentile2	Sampling Percentile - 2		int	item				True
Line4	Line4		line	item				False
DataFormat	Data format		string	item		csv netcdf	CSV CF-netCDF	False
Line5	Line5		line	item				False
JobLabel	Job label	An optional field that may be used to identify this job. You can also do this later in 'My Jobs'.	string	item	256			False

Product Outputs: Data: Anomalies for probabilistic projections (25km) over UK, 1961-2100

All WPS outputs are currently returned in:

Bespoke XML structure within ProcessSpecificContent (inside Execute Response document).

Product Description: Data: Anomalies for probabilistic projections (25km) over UK, 1961-2100

Process Description XML:

Call the DescribeProcess method for this process.

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