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Wednesday, March 22

  1. page User List edited ... Masashi Minamide, University of Tokyo / Pennsylvania State university, minamide@psu.edu, downs…
    ...
    Masashi Minamide, University of Tokyo / Pennsylvania State university, minamide@psu.edu, downscaling / Orography-Transforming experiment
    Alec Wu, Mercuries Data Systems, Ltd., lmwu@mds.com.tw, operational models porting.
    ...
    Shabir Dar, Indian Institute of Science,shaakirshabir@ceas.iisc.ernet.in Stable isotope
    (view changes)
    12:18 am
  2. page User List edited ... Masashi Minamide, University of Tokyo / Pennsylvania State university, minamide@psu.edu, downs…
    ...
    Masashi Minamide, University of Tokyo / Pennsylvania State university, minamide@psu.edu, downscaling / Orography-Transforming experiment
    Alec Wu, Mercuries Data Systems, Ltd., lmwu@mds.com.tw, operational models porting.
    Shaakir Shabir Dar, Indian Institute of Science, Stable isotope modelling.
    (view changes)
    12:14 am

Friday, March 3

  1. 8:11 am

Monday, February 13

  1. user_add gera147 gera147 joined G-RSM
    8:22 am
  2. user_add oceandream oceandream joined G-RSM
    8:22 am

Thursday, January 26

  1. msg RSM low, middle and high cloud amounts using Slingo scheme message posted RSM low, middle and high cloud amounts using Slingo scheme Ok thank you for linking these papers, I will look into them for more details.
    RSM low, middle and high cloud amounts using Slingo scheme
    Ok thank you for linking these papers, I will look into them for more details.
    8:39 am

Wednesday, January 25

  1. msg RSM low, middle and high cloud amounts using Slingo scheme message posted RSM low, middle and high cloud amounts using Slingo scheme Hi Russ, I'm not specialized for the cloud schemes, so there would be better people elsewhere. B…
    RSM low, middle and high cloud amounts using Slingo scheme
    Hi Russ,

    I'm not specialized for the cloud schemes, so there would be better people elsewhere. But as far as I know, your first explanation is correct. In the model, there are 28 layers, so existence of cloud may differ in vertical. That's the reason of variable preslcb/preslct (for example).

    For the second one, it is almost correct, but it is rather total cloud = max (high cloud, mid cloud, low cloud). So the total can be 100% quite easily. It is true for instantaneous values, so if you average into time the cloud cover could be almost always <100%.


    For more detail, you'd be better to refer the original paper, Slingo and Slingo (1991)
    http://onlinelibrary.wiley.com/wol1/doi/10.1029/91JD00930/abstract
    and comparison paper by Shimpo et al. (2007)
    http://journals.ametsoc.org/doi/pdf/10.1175/2007MWR2179.1

    I hope it helps.

    Kei
    3:21 pm
  2. msg RSM low, middle and high cloud amounts using Slingo scheme message posted RSM low, middle and high cloud amounts using Slingo scheme Is anyone able to help answer this question? Russ
    RSM low, middle and high cloud amounts using Slingo scheme
    Is anyone able to help answer this question?

    Russ
    9:57 am

Friday, January 20

  1. msg RSM low, middle and high cloud amounts using Slingo scheme message posted RSM low, middle and high cloud amounts using Slingo scheme Hello, So in my understanding of the Slingo scheme code in RSM, the Slingo scheme groups clouds …
    RSM low, middle and high cloud amounts using Slingo scheme
    Hello,

    So in my understanding of the Slingo scheme code in RSM, the Slingo scheme groups clouds into 3 layers for low, middle and high clouds and it determines where the top and bottom pressure are for each of these 3 cloud layers based on some criteria? The top and bottom pressure for each layer can be found in the output for RSM (preslcb=low level cloud layer base). What I am getting at is, the cloud layer top and bottom can vary, that is, they don't stay constant so the pressure levels of low, mid and high level clouds can vary.

    Additionally, the cloud amounts calculated in the low, middle and high levels are basically the total cloud amounts for each of those individual levels. Then the vertical column total cloud amount is calculated separately and takes into account overlapping within the whole column. This total cloud amount is in line with what the radiation scheme sees. In other words, Low cld + mid cld + high cld amounts = probably over 100%. And total vertical column cloud amount should be almost always <100%.

    Just wanted to clarify that I am not missing something and that this is the correct way to interpret the cloud amounts.

    Thank you
    Russ
    3:28 pm

Friday, December 16

  1. user_add Shkr13 Shkr13 joined G-RSM
    7:54 am

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