- 1 SOLWEIG v2016a
- 2 Introduction
- 3 Input data
- 4 Output data
- 5 How to run the model
- 6 Tips and Tricks
- 7 Acknowledgements
- 8 Abbreviations
- 9 Development
- 10 Version History
- 11 References
The current version of SOLWEIG is v2016a (released 9 September 2016).
NEW in this version: see Version history.
F Lindberg, CSB Grimmond 2016 SOLWEIG Manual V2016a, http://urban-climate.net/umep/SOLWEIG Department of Earth Sciences, University of Gothenburg, Sweden, University of Reading, UK.
SOLWEIG is a model which can be used to estimate spatial variations of 3D radiation fluxes and mean radiant temperature (Tmrt) in complex urban settings. The SOLWEIG model follows the same approach commonly adopted to observe Tmrt (as used, for example, by Höppe (1992) , with shortwave and longwave radiation fluxes from six directions being individually calculated to derive Tmrt. The model requires a limited number of inputs, such as direct, diffuse and global shortwave radiation, air temperature, relative humidity, urban geometry and geographical information (latitude, longitude and elevation). Additional vegetation and ground cover information can also be used to imporove the estimation of Tmrt. Below is a flowchart of the model.
Read the manual and papers listed below to get a full explanation of the model and previous evaluation:
- Lindberg, F., Onomura, S. and Grimmond, C.S.B (2016) Influence of ground surface characteristics on the mean radiant temperature in urban areas. International Journal of Biometeorology. 60(9), 1439-1452. (link to paper)
- Lindberg, F. and Grimmond, C. (2011) The influence of vegetation and building morphology on shadow patterns and mean radiant temperature in urban areas: model development and evaluation. Theoretical and Applied Climatology 105:3, 311-323. (link to paper)
- Lindberg, F., Holmer, B. and Thorsson, S. (2008) SOLWEIG 1.0 – Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. International Journal of Biometeorology 52, 697–713. (link to paper)
- Holmer, B., Lindberg, F., Rayner, D. and Thorsson, S. (2015) How to transform the standing man from a box to a cylinder – a modified methodology to calculate mean radiant temperature in field studies and models, ICUC9 – 9 th International Conference on Urban Climate jointly with 12th Symposium on the Urban Environment, BPH5: Human perception and new indicators. Toulouse, July 2015. (link to paper)
Install the model
As SOLWEIG is included in UMEP (as from version 0.2.1) follow the instructions on how to install QGIS and UMEP. When installed successfully, SOLWEIG is found under UMEP -> Processor -> Outdoor Thermal Comfort -> Mean Radiant Temperature (SOLWEIG).
There are two categories of data needed to run SOLWEIG. The first category is the spatial information in the some various raster grids explained below. The other is meteorological data and other settings such as environmental and human exposure parameters.
One essential prerequisite for performing successful model calculation is that all surface models are of the same extent and pixel resolution.
Ground and building DSM
As the name suggest this DSM consist of both ground and building heights (masl).
3D Vegetation is described by two different grids. First a canopy DSM (CDSM) which represents the top of the vegetation and second, a trunk zone DSM (TDSM) that describes the bottom of the vegetation (see schematic figure). Pixel without any 3D vegetation has the value of zero and vegetation pixels are given in magl. For a detailed description, see Lindberg and Grimmond (2011) .
Digital elevation model
One essential information needed is to know what pixels that are occupied with buildings. In order to locate these pixels, there are two possible ways:
- By including a DEM which can bu used in conjunction with the ground and building DSM to derive building pixels.
- By using a land cover grid (see below) where buildings are represented.
If a DEM is used, is has to be the same spatial resolution and extent as all the other grids used.
Ground cover grid
If the ground cover scheme as presented in Lindberg et al. (2016)  should be used, a ground cover grid should be included. The Ground cover grid should be in the UMEP standard format except for the two tree classes (deciduous and conifer). In other words a ground cover grid in SOLWEIG represents whats on the ground. A UMEP ground cover grid can be prepared from other data using the Land Cover Reclassifier (UMEP -> Pre-Processor -> Urban Land Cover -> Land Cover Reclassifier).
The format and variables used for meteorological data is the same as for other parts of the UMEP-plugin. The time resolution is optional. To prepare such dataset from existing data the Metdata Preprocessor could be used. If no data is available a single point in time can modelled using the SOLWEIG interface. There is also a possibility to download a dataset for any location on Earth using the Download data (WATCH)-plugin. The variables required for SOLWIEG are:
- Air temperature [degC]
- Relative humidity [%]
- Incoming shortwave radiation [W m-2]
Required are also the components of diffuse and direct shortwave radiation. If these are unavailable, and submodel developed by Reindl et al. (1990)  is included in SOLWEIG. Direct radiation perpendicular to the solar beam should be used.
Four main environmental parameters are mandatory; albedo and emissivity of ground and walls. For building walls, these are bulk albedo values with a default of 0.20 (albedo) and 0.90 (emissivity). If the ground cover scheme is not used the bulk ground values are 0.15 (albedo) and 0.95 (emissivity).
If the ground cover scheme is activated (specific tick box found in the plugin-interface), the variables for albedo, emissivity and how surface temperature is parameterised for different surfaces is found in landcoverclasses_v2016a.txt. For as detailed description of the ground cover scheme, see Lindberg et al. (2016) . landcoverclasses_v2016a.txt can be found in C:\Users\your_username\.qgis2\python\plugins\UMEP\SOLWEIG.
It should be noted that it is only grass and impervious surfaces that has been parameterisised and evaluated. Other surfaces such as bare soil and water are only first order approximations at this point.
Human exposure parameters
There are three human exposure parameters available:
- Absorption of shortwave radiation (default value=0.70)
- Absorption of longwave radiation (default value=0.95)
- Posture (default value=Standing)
- The original model as described in Lindberg et al. (2008)  used an adjustment of sky emissivity (Jonsson et al. (2006)  calculated using the method presented in Prata (1996) . This is now removed but can be added as an option.
- As from version 2015a it is possible to consider the human as a cyliner instead of a box. See Holmer et al. (2015)  for more details.
There are two forms of output available, calculated grids of various parameters and full model outputs from certain point of interests (POIs) within the model domain.
There are six different grids that can be saved from each model iteration:
- Mean radiation temperature
- Incoming shortwave radiation
- Outgoing shortwave radiation
- Incoming longwave radiation
- Outgoing longwave radiation
- Shadow patterns
A post-processing plugin (SOLWEIG Analyzer) for the output grids are planned to be included in future versions of UMEP.
By ticking in the option to include POIs (Point of Interest), a vector point layer can be added and full model output are written out to text files for the specific POI. Multiple POIs can be used by including many points in the vector file. In the table below is the output variables specifiedː
|2||id||Day of year [DOY]|
|5||dectime||Decimal time [-]|
|6||altitude||altitude of the Sun [°]|
|7||azimuth||azimuth of the Sun [°]|
|8||kdir||direct beam solar radiation (from meteorological data) [W m-2]|
|9||kdiff||diffuse component of radiation (from meteorological data) [W m-2]|
|10||kglobal||global radiation (from meteorological data) [W m-2]|
|11||kdown||Incoming shortwave radiation [W m-2]|
|12||kup||Outgoing shortwave radiation [W m-2]|
|13||keast||Incoming shortwave radiation [W m-2]|
|14||ksouth||Outgoing shortwave radiation [W m-2]|
|15||kwest||Incoming shortwave radiation [W m-2]|
|16||knorth||Outgoing shortwave radiation [W m-2]|
|17||ldown||Incoming longwave radiation [W m-2]|
|18||lup||Outgoing longwave radiation [W m-2]|
|19||least||Incoming longwave radiation [W m-2]|
|20||lsouth||Outgoing longwave radiation [W m-2]|
|21||lwest||Incoming longwave radiation [W m-2]|
|22||lnorth||Outgoing longwave radiation [W m-2]|
|23||Ta||air temperature from meteorological data [°C]|
|24||Tg||calculated surface temperature [°C]|
|25||RH||relative humidity from meteorological data [percent]|
|27||Tmrt||mean radiant temperature [°C]|
|28||I0||theoretical value of maximum incoming solar radiation [W m-2]|
|31||SVF_b||Sky View Factor from ground and buildings|
|32||SVF_b+v||Sky View Factor from ground, buildings and vegetation|
|33||KsideI||Direct shortwave radiation from side if cylinder option is used|
How to run the model
The following section provides information on how to run the model and what consideration that should be taken into account in order for the model to perform at its best.
Run the model for example data
Before running the model for your own data it is good to make certain that you can run the test data and get the same results as in the example files provided. Test/example files are given for Göteborg, Sweden or London, UK. Here, you will use the Göteborg data.
- Download and extract the test dataset to your computer (testdata_UMEP.zip).
- Add the raster layers (DSM, CDSM and land cover) from the Goteborg folder into a new QGIS session. The coordinate system of the grids is Sweref99 1200 (EPSG:3007).
- In order to run SOLWEIG, some additional datasets must be created based on the raster grids you just added. Open the SkyViewFactor Calculator from the UMEP Pre-processor and calculate SVFs using both your DSM and CDSM. Leave all settings as default. This calculation produces a file called svf.zip' which is used later in the calculations.
- Open the Wall height and aspect plugin from the UMEP Pre-processor and calculate both wall height and aspect using the DSM and your input raster. Make sure to add the result to your project.
- Now you are ready to generate your first Tmrt map. Open SOLWEIG and use the settings as shown below but replacing the paths to fit your computer environment. When you are finished, press Run.
Tips and Tricks
- The model is very sensitive to the timing global radiation, i.e.. that the peak of solar radiation occurs at local noon. If using a meteorological file included a longer dataset, this could be checked by comparing the global solar radiation and the theoretical maximum of solar radiation (I0) from a solar exposed point of interest.
- If using the land cover grid to derive the building grid, it is important that it coincides with the ground and building DSM. Otherwise strange results will be produced.
- People who have contributed to the development of SOLWEIG (plus co-authors of papers):
- Current contributors:
- C.S.B. Grimmond (University of Reading; previously Indiana University, King’s College London, UK),
- Fredrik Lindberg (Göteborg University, Sweden)
- Björn Holmer (Göteborg University, Sweden)
- Past Contributors:
- Shiho Onomura (Göteborg University, Sweden)
- Sofia Thorsson (Göteborg University, Sweden)
- Ingegärd Eliasson (Göteborg University, Sweden)
- Janina Konarska (Göteborg University, Sweden)
- David Rayner (Göteborg University, Sweden)
- Funding to support development:
- FORMAS, National Science Foundation (USA, BCS-0095284, ATM-0710631), EU Framework 7 BRIDGE (211345); EU emBRACE; UK Met Office; NERC ClearfLO, NERC TRUC.
|DEM||Digital Elevation Model|
|DSM||Digital surface model|
|DTM||Digital Terrain Model|
|L↓||Incoming longwave radiation|
|LAI||Leaf area index|
|SOLWEIG||The solar and longwave environmental irradiance geometry model|
|SVF||Sky view factor|
|UMEP||Urban Multi-scale Environmental Predictor|
|GUI||Graphical User Interface|
|POI||Point of Interest|
SOLWEIG is an an open source model that we are keen to get others inputs and contributions. There are two main ways to contribute:
|Version||Changes from previous version|
First version released within UMEP. Python version of model is now released as open source.
|2013a||A new GUI is introduced as well as options to load gridded vegetation DSMs.|
|2.3||A new scheme for reflection concerning the shortwave fluxes is included taking into account sunlit and shaded walls|
|2.2||Some major (and minor) bugs have been fixed such as:
|2.0||A new vegetation scheme is now included (Lindberg and Grimmond 2011). The interface also has a wizard for generating vegetation data to be included in the calculations. The new vegetation scheme is again slowing down the calculation but the computation time is still acceptable.|
|1.1||Longwave and shortwave radiation fluxes from the four cardinal points is now separated based on anisotropical Sky View Factor (SVF) images. Ground View Factors is introduced which is a parameter that is estimated based on what an instrument measuring Lup actually is seeing based on its height above ground and shadow patterns. In order to make accurate estimations of GVF, locations of building walls need to be known. Walls can be found automatically be the SOLWEIG-model. However, if the User wants to have more control over what are buildings and not, the User should use the marking tool included in the ‘Create/Edit Vegetation DEM’. A very simple approach taken from Offerle et al. (2003) is used to estimate nocturnal Ldown. Therefore Tmrt could also be estimated during night in version 1.1.|
|1.0||First version as from Lindberg et al. (2008)|
- Höppe P (1992) A new procedure to determine the mean radiant temperature outdoors. Wetter Leben 44:147–151.
- Lindberg F, Grimmond CSB, 2011: The influence of vegetation and building morphology on shadow patterns and mean radiant temperature in urban areas: model development and evaluation. Theoretical and Applied Climatology. 105(3), s. 311-323.
- Lindberg, F., Onomura, S. and Grimmond, C.S.B (2016) Influence of ground surface characteristics on the mean radiant temperature in urban areas. International Journal of Biometeorology. 60(9), 1439-1452.
- Reindl D T, Beckman WA, Duffie JA, 1990: "Diffuse fraction correlation." Solar energy 45(1): 1-7.
- Lindberg F, Thorsson S, Holmer B, 2008: SOLWEIG 1.0 – Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. International Journal of Biometeorology (2008) 52:697–713.
- Jonsson P, Eliasson I, Holmer B, Grimmond CSB (2006) Longwave incoming radiation in the Tropics: results from field work in three African cities. Theor Appl Climatol 85:185–201
- Prata AJ (1996) A new long-wave formula for estimating downward clearsky radiation at the surface. Q J R Meteorol Soc 122:1127–1151
- Holmer B, Lindberg F, Thorsson S, Rayner D, 2015: How to transform the standing man from a box to a cylinder – a modified methodology to calculate mean radiant temperature in field studies and models. ICUC9 - 9th International Conference on Urban Climate jointly with 12th Symposium on the Urban Environment.