Closed hamidrezaomidvar closed 4 years ago
Albedo for DecTr:
I tested SUEWS model in calculating albedo of DecTr land cover for 3 sites each for 4 years. Below you can see the results of these sites. During the winter, because of the snow, there are some outliers as you can see for two north sites and for the souther site (MMS), the outliers are less during the winter.
I also plotted the temperature and BaseT
and BaseTe
as well as calculated LAI for all the years.
I think the plots give a good idea about how SUEWS is doing for albedo of DecTr and what do we need to change for better albedos
I will work on EveTr and grass.
Here are similar results for EveTr land cover. You can see a different behaviour in Albedo, and lot's of snow effects for CA-Qcu during the winter (because of the location of the site)
And here is the Grass land cover for two sites:
These are all very good – it would be good to know how the LAI looks relative to MODIS for these sites (others vegetation types as well.) Have you talked with Mathew – to make certain you both look at the same first sites? So we can determine the next steps
Prof Sue Grimmond Dept. of Meteorology, University of Reading, Reading, RG6 6BB T: 44 118 378 6248 – messages get emailed to me O:Met Building (#58 on map) rm:1U14 E: c.s.grimmond@reading.ac.ukmailto:c.s.grimmond@reading.ac.uk W: http://micromet.reading.ac.uk/
From: Hamidreza Omidvar notifications@github.com Sent: 17 September 2019 17:15 To: Urban-Meteorology-Reading/WRF-SUEWS WRF-SUEWS@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: Re: [Urban-Meteorology-Reading/WRF-SUEWS] Paper in SUEWS parameters for vegetated surfaces (#66)
And here is the Grass land cover for two sites: US-Var
[US-Var-albedo]https://user-images.githubusercontent.com/44125994/65059829-9622be00-d96e-11e9-9ad0-e40483d93a3f.png US-AR1
[US-AR1-albedo]https://user-images.githubusercontent.com/44125994/65059838-99b64500-d96e-11e9-898c-5eefe303dd8f.png
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It would be good to mark on the GDD and SDD points as well as the BaseTs so we can see what are likely to be more appropriate values (as I think I can see how they will probably need to be changed (But should not start that until the MODIS data are being looked at) ). We can skype if you want.
Prof Sue Grimmond Dept. of Meteorology, University of Reading, Reading, RG6 6BB T: 44 118 378 6248 – messages get emailed to me O:Met Building (#58 on map) rm:1U14 E: c.s.grimmond@reading.ac.ukmailto:c.s.grimmond@reading.ac.uk W: http://micromet.reading.ac.uk/
From: Hamidreza Omidvar notifications@github.com Sent: 17 September 2019 17:15 To: Urban-Meteorology-Reading/WRF-SUEWS WRF-SUEWS@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: Re: [Urban-Meteorology-Reading/WRF-SUEWS] Paper in SUEWS parameters for vegetated surfaces (#66)
And here is the Grass land cover for two sites: US-Var
[US-Var-albedo]https://user-images.githubusercontent.com/44125994/65059829-9622be00-d96e-11e9-9ad0-e40483d93a3f.png US-AR1
[US-AR1-albedo]https://user-images.githubusercontent.com/44125994/65059838-99b64500-d96e-11e9-898c-5eefe303dd8f.png
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Ok, I will talk to Mathew to work on these sites.
The following parameters control the LAI in SUEWS:
BaseT
BaseTe
GDDFUll
SDDFull
LAIMAX
LAIMin
From these parameters, I found that BaseTe
(because of Climate) and LaiMax
(For same vegetation might be still different across sites) are site dependent (for same type of vegetation). So to calculate these, first I calculated them based on MMS-2010. Then for each other sites, I only calculated BaseTe
and LaiMax
and tested them for 3 other years of the same site. So basically, BaseT
,GDDFUll
,SDDFUll
, and LAIMin
are the same in all sites and tests (based on MMS-2010), but BaseTe
and LaiMax
varies for different sites (calculated based on 1 year of each site).
Here are the results of tests for DecTr sites:
Parameters:
BaseT = 5
BaseTe = 22 for MMS, 16 for UMB and 18 for Oho
GDDFUll = 450
SDDFull = -370
LAIMAX = 5 for MMS, 4.5 for UMB and 3 for Oho
LAIMin = 1
Good job! @hamidrezaomidvar
Here are the results for EveTr. It seems that GDDFull
and SDDFull
of previous sites are still working for these sites. So to be consistent, I did not change them. For one of the sites (CA-Qcu) where it is very cold during the winter, it seems it needed a lower BaseT
otherwise the vegetation would not grow much during the growing season.
Parameters:
BaseT = 5 for CA-Obs and US-Blk and 2 for CA-Qcu
BaseTe = 13 for CA-Obs and US-Blk and 11 for CA-Qcu
GDDFUll = 450
SDDFull = -370
LAIMAX = 2.2 for US-Blk, 2.5 for CA-Obs and CA-Qcu
LAIMin = 0.75 for US-Blk, 0.5 for CA-Obs and CA-Qcu
for the Grass
landcover, it seems a more variability in LAI even for one specific site which I think it might be related to mowing etc.
For example, for US-AR1
, I tuned on year 2010:
and here are the results for other two years which Laimax
is different:
or for example for US-Var
(California) , it seems the behaviour of LAI is completely different and the pick is not in the growing season?!
for US-Var, increasing the BaseTe
as it is warmer, and decreasing GDDFull as it growing starts sooner would help to have a better representation of LAI:
After getting proper parameters for LAI for different surfaces, I used them to tune (max and min of albedo for different sites) and test albedo for different vegetated surfaces. Here are the results
DecTr
EveTr
Grass
Finally, I used the parameters from LAI and Albedo of previous sections to fit g1-g6 for different sites and tested them. Here are the results of the tests:
DecTr
g1=1
,g2=266.83
,g3=0.135
,g4=0.429
,g5=35.2
,g6=0.020
Test:
EveTr
g1=1
,g2=266.95
,g3=0.360
,g4=0.757
,g5=33.81
,g6=0.024
Test:
Grass
g1=1
,g2=266.92
,g3=0.350
,g4=0.763
,g5=33.9
,g6=0.021
Test:
In summary, we need the following processes for each vegetated surface in order to get suitable SUEWS parameters:
Here the rough plan for starting the paper to investigate the SUEWS parameters for vegetated surfaces in order to reference it in the WRF-SUEWS paper:
Important parameters to focus on:
[x] Albedo: we need to see what is the minimum and maximum albedo of difference land cover, and see if that follows the model in SUEWS for albedo. We need to choose some sites for each vegetated surfaces and do the analysis for each
[x] LAI: This is following of what Matthew is doing now. We need to more specifically find out the temperature threshold for each land cover and region (high/low latitude)
[x] g1-g6: This follows the work I have been doing so far
[x] roughness: this is mostly related to height of trees and to see how can we derive a reasonable roughness for each land cover
At the end, we like to purpose a table containing the suitable parameters for each land cover for users to use it when running SUEWS/WRF-SUEWS.