Skip to main content

Help us improve the National Data Library - complete this short survey

Close survey banner

Predictions of river temperature and sensitivity to climate change in Scotland

Publisher
Scottish Government SpatialData.gov.scot
Updated
19 June 2024
Topic
Not set

Summary

These layers are the outputs of research which developed a national river temperature model for Scotland capable of predicting both daily maximum river temperature and sensitivity to climate change. The layers show the following:

summer_max_tw_2015_16 – Predictions of maximum daily river temperatures for the hottest day between July 2015 and June 2016.

summer_max_tw_2003 – Predictions of maximum daily river temperatures for the hottest year in the last 20 years (2003).

summer_climate_change_sensitivity – Predictions of the change in river temperature that would result from a 1°C increase in air temperature.

A fourth layer has been developed to combine the outputs from “summer_max_tw_2003” and “summer_climate_change_sensitivity” into a single layer that can be used to prioritise management where the relative importance of maximum temperature and temperature change are considered to be equal. This was achieved by (1) dividing the predictions of ‘summer_max_tw_2003’ and ‘summer_climate_change_sensitivity’ into 5 equal categories between the minimum and maximum observed values (2) assigning these categories a value ranging from 1 (the hottest / most sensitive rivers) to 5 (the coolest / least sensitive rivers) (3) sum the rankings (-1) to produce an overall priority ranking (1:9) where rivers ranked as 1 are the highest priority for management (i.e. high river temperature and high climate sensitivity) and 9 the lowest.

Management_Priority_Layer – Management priority on a scale of 1:9 where 1 is the highest priority (i.e. high river temperature and high climate sensitivity) and 9 the lowest.

  • Please Note * This layer was derived by the Scottish Government from a licensed dataset. It is not downloadable or routinely available.

The data can be shared on request if a user provides evidence that they hold a licence from the UK Centre for Ecology and Hydrology (UKCEH) for the 1:50,000 Digital River Network (https://www.ceh.ac.uk/data/15000-watercourse-network)

Is this data/dataset useful? Give us feedback

Additional information

Source Metadata
XML, HTML
Date added
15 February 2024
Harvest GUID
Marine_Scotland_FishDAC_1997
Extent (Latitude)
61.05828° to 54.52108°
Extent (Longitude)
-7.910156° to -0.3955078°
Spatial reference system
urn:ogc:def:crs:EPSG::27700
Dataset reference date (publication)
2017-10-23
Frequency of update
Not Planned
Access constraints
public access limited according to Article 13(1)(e) of the INSPIRE Directive
Responsible party
Scottish Government (pointOfContact, custodian, distributor, originator)
ISO 19139 resource type
dataset
Metadata language
eng

Contact

Enquiries

marine.gis@gov.scot

Licence information

Predictions are plotted on CEH Rivers dataset which is held under license so the underlying dataset cannot be available for download. \n\nWhere the predictions are used, reference must be made to the original publication: Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C.P., and Malcolm, I. A. (2018) A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change. Science of The Total Environment., 612, 1543-1558., The following copyright and acknowledgement should be placed on all copies of information or images derived from the licensed CEH river network data: \u2018\u00a9 Scottish Government (Marine Scotland) Year. Based on digital spatial data licensed from the Centre for Ecology & Hydrology, \u00a9 NERC (CEH)' (preceded if appropriate by 'Some features of this map are'). And: 'Contains Ordnance Survey data \u00a9 Crown copyright and database right year'.\n\nThe following citation must be included in the reference list of any reports or publications in which the licensed CEH river network data, or derived data, have been used. \u2018Moore RV, Morris DG and Flavin RW, 1994. Sub-set of UK digital 1:50,000 scale river centre-line network. NERC, Institute of Hydrology, Wallingford.\u2019