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Urban-Meteorology-Reading / WRF-SUEWS

WRF-SUEWS coupling project
https://wrf-suews.readthedocs.org
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WRF-SUEWS Shanghai paper #53

Closed hamidrezaomidvar closed 5 years ago

hamidrezaomidvar commented 5 years ago

Land cover fraction issue: 100 m resolution is too coarse that the vegetation are not captured on the site

zhenkunl commented 5 years ago

physics options used in SMS: mp_physics = 8 (the same as suite "conus") ra_lw_physics = 24 ra_sw_physics = 24

sunt05 commented 5 years ago

how about the following:

bl_pbl_physics
sf_sfclay_physics
zhenkunl commented 5 years ago

sf_sfclay_physics = 1. For bl_pbl_physics, they use scheme developed by themselves.

suegrimmond commented 5 years ago

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: c.s.grimmond@reading.ac.ukmailto:c.s.grimmond@reading.ac.uk W: http://micromet.reading.ac.uk/

From: Zhenkun Li notifications@github.com Sent: 19 July 2019 10:23 To: Urban-Meteorology-Reading/WRF-SUEWS WRF-SUEWS@noreply.github.com Cc: Subscribed subscribed@noreply.github.com 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 5 years ago

@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

zhenkunl commented 5 years ago

@suegrimmond It seems their BL scheme is adopted by WRF. I will make it clear next week.

zhenkunl commented 5 years ago

@hamidrezaomidvar This is based on 100m resolution. I can ask my colleague for 10m data. lc-re22.asc.zip

hamidrezaomidvar commented 5 years ago

@zhenkunl Thanks! Can you please ask for 10m data? in this one, it is too coarse for the building data

zhenkunl commented 5 years ago

Yes I can. I will send it to you once it is available.

zhenkunl commented 5 years ago

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?

sunt05 commented 5 years ago

Yes, just give it a try: re smaller domain or SCM.

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On 19 Jul 2019, at 18:08, Zhenkun Li notifications@github.com 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?

发自我的 iPhone — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

hamidrezaomidvar commented 5 years ago

@zhenkunl I was wondering you were able to get the high resolution building data for Shanghai?

zhenkunl commented 5 years ago

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?

hamidrezaomidvar commented 5 years ago

@sunt05 Do you have any suggestion on this?

sunt05 commented 5 years ago

@zhenkunl try this one: https://send.firefox.com

zhenkunl commented 5 years ago

I have tried many times, but it always lost response after transferring 20% or more.

sunt05 commented 5 years ago

@zhenkunl can you split your large file into smaller pieces? or, can you use dropbox?

zhenkunl commented 5 years ago

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

hamidrezaomidvar commented 5 years ago

@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?

zhenkunl commented 5 years ago

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

suegrimmond commented 5 years ago

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: c.s.grimmond@reading.ac.ukmailto:c.s.grimmond@reading.ac.uk W: http://micromet.reading.ac.uk/

From: Zhenkun Li notifications@github.com Sent: 31 July 2019 16:15 To: Urban-Meteorology-Reading/WRF-SUEWS WRF-SUEWS@noreply.github.com Cc: Sue Grimmond c.s.grimmond@reading.ac.uk; Mention mention@noreply.github.com 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 5 years ago

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.