Comments (22)
zhenkunl
commented on July 21, 2024
2
I forgot to compress it. The file size is dramatically reduced after compression.
int2.zip
The file header is as follows:
ncols 12839
nrows 12647
xllcorner 120.848613196
yllcorner 30.5985207623
cellsize 0.0001
NODATA_value -9999
and the land use info is:
11-building
12-road
2-water（river and lake）
3-bare land
4-grass（grass and agriculture land)
5-tree
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zhenkunl
commented on July 21, 2024
physics options used in SMS:
mp_physics = 8 (the same as suite "conus")
ra_lw_physics = 24
ra_sw_physics = 24
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sunt05
commented on July 21, 2024
how about the following:
bl_pbl_physics
sf_sfclay_physics
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zhenkunl
commented on July 21, 2024
sf_sfclay_physics = 1. For bl_pbl_physics, they use scheme developed by themselves.
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suegrimmond
commented on July 21, 2024
Can we do the testing with and without their
BL_scheme?
Best wishes
Sue
============================================
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: [email protected]<mailto:[email protected]>
W: http://micromet.reading.ac.uk/
From: Zhenkun Li <[email protected]>
Sent: 19 July 2019 10:23
To: Urban-Meteorology-Reading/WRF-SUEWS <[email protected]>
Cc: Subscribed <[email protected]>
Subject: Re: [Urban-Meteorology-Reading/WRF-SUEWS] WRF-SUEWS Shanghai paper (#53)
sf_sfclay_physics = 1. For bl_pbl_physics, they use scheme developed by themselves.
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hamidrezaomidvar
commented on July 21, 2024
@zhenkunl Can you please send me the building footprint for Shanghai? or any land cover data set that you have containing the building footprint. Thanks
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zhenkunl
commented on July 21, 2024
@suegrimmond It seems their BL scheme is adopted by WRF. I will make it clear next week.
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zhenkunl
commented on July 21, 2024
@hamidrezaomidvar This is based on 100m resolution. I can ask my colleague for 10m data.
lc-re22.asc.zip
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hamidrezaomidvar
commented on July 21, 2024
@zhenkunl Thanks! Can you please ask for 10m data? in this one, it is too coarse for the building data
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zhenkunl
commented on July 21, 2024
Yes I can. I will send it to you once it is available.
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zhenkunl
commented on July 21, 2024
To do some sensitive experiments, does it make sense to use WRF-SCM or a smaller domain since it's computationally expensive with current setup?
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sunt05
commented on July 21, 2024
Yes, just give it a try: re smaller domain or SCM.
…Sent from my iPhone
On 19 Jul 2019, at 18:08, Zhenkun Li ***@***.***> wrote:
To do some sensitive experiments, does it make sense to use WRF-SCM or a smaller domain since it's computationally expensive with current setup?
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hamidrezaomidvar
commented on July 21, 2024
@zhenkunl I was wondering you were able to get the high resolution building data for Shanghai?
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zhenkunl
commented on July 21, 2024
My colleague has been on a business trip for several days. I just get the data and it exceeds 1GB. How can I send it to you?
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hamidrezaomidvar
commented on July 21, 2024
@sunt05 Do you have any suggestion on this?
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sunt05
commented on July 21, 2024
@zhenkunl try this one:
https://send.firefox.com
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zhenkunl
commented on July 21, 2024
I have tried many times, but it always lost response after transferring 20% or more.
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sunt05
commented on July 21, 2024
@zhenkunl
can you split your large file into smaller pieces?
or, can you use dropbox?
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hamidrezaomidvar
commented on July 21, 2024
@zhenkunl Thanks for the data. From what I can see here, the vegetation is represented very well in this high resolution data. So what do you think is the problem when looking at the 1km data, no vegetation is seen Center of Shanghai?
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zhenkunl
commented on July 21, 2024
The figure below is the original 1km image. The vegetation is sparse in central Shanghai and the fraction of vegetation is close to zero through the computation of WPS/geogrid.
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suegrimmond
commented on July 21, 2024
But not actually!
Best wishes
Sue
============================================
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: [email protected]<mailto:[email protected]>
W: http://micromet.reading.ac.uk/
From: Zhenkun Li <[email protected]>
Sent: 31 July 2019 16:15
To: Urban-Meteorology-Reading/WRF-SUEWS <[email protected]>
Cc: Sue Grimmond <[email protected]>; Mention <[email protected]>
Subject: Re: [Urban-Meteorology-Reading/WRF-SUEWS] WRF-SUEWS Shanghai paper (#53)
The figure below is the original 1km image. The vegetation is sparse in central Shanghai and the fraction of vegetation is close to zero through the computation of WPS/geogrid.
[IMG_7314]<https://user-images.githubusercontent.com/12846201/62224231-e8bd1080-b3e8-11e9-8832-631a44cee946.JPG>
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sunt05
commented on July 21, 2024
This should be more a project rather an issue: will close and reference this in other more specific discussions. So our discussion on the Shanghai case can be more focuses: I see this has been dispersed over several issues.
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