[CF-metadata] Standard_name for cloud-cover by phenomenon

2012-04-25 Thread Heiko Klein

Hei,

in grib, clouds are described as low, medium and high clouds, e.g. 
73,74,75. Those are described by phenomenon, e.g.


high cloud type:  Clouds of genera Cirrus, Cirrocumulus and Cirrostratus.

low cloud type: Clouds of genera Stratocumulus, Stratus, Cumulus, etc.

medium cloud type: Clouds of the genera Altocumulus, Altostratus, etc.

(see

In CF, this can currently only be expressed by 
cloud_area_fraction_in_atmosphere_layer and a not very well defined 
'vertical' parameter, e.g. by sigma:

http://www.ecmwf.int/products/data/archive/data_faq.html#clouddefinitions


When translating from grib to CF, this is not very satisfying: Either I 
add some dummy sigma-values, which will look like I have a model with 
just three levels, or I use 3 variables, all with the same 
'standard_name=cloud_area_fraction' which looses some useful 
information. In both cases, the data-user will need to know something 
which cannot be expressed by CF.



Looking at the page
http://cf-pcmdi.llnl.gov/documents/cf-standard-names/ecmwf-grib-mapping
there are mentioned 3 'standard_names' which are not in the 
standard_name-table yet, and I propose to do so:


low_cloud_area_fraction
medium_cloud_area_fraction
high_cloud_area_fraction

in additon (though this is not in grib), I would like to add
fog_area_fraction (or surface_cloud_area_fraction).


Best regards,

Heiko

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Re: [CF-metadata] Standard_name for cloud-cover by phenomenon

2012-04-25 Thread David Hassell
Hello Heiko,

I don't have a strong opinion, but am just testing the water ...

I wonder how one would define these standard names so that they were
correct for all uses, for example from a three layer model to the
ISCCP datasets.

In your example, would a model_level_number coordinate of [1, 2, 3]
fit your needs, possibly with an auxiliary coordinate of ['low',
'medium', 'high']? Would we need a standard name for the auxiliary
coordinate, or would a long name suffice?

All the best,

David

 Original message from Heiko Klein (11AM 25 Apr 12)

 Date: Wed, 25 Apr 2012 11:49:06 +0200
 From: Heiko Klein heiko.kl...@met.no
 User-Agent: Mozilla/5.0 (X11; Linux i686; rv:11.0) Gecko/20120327
  Thunderbird/11.0.1
 To: cf-metadata@cgd.ucar.edu cf-metadata@cgd.ucar.edu
 Subject: [CF-metadata] Standard_name for cloud-cover by phenomenon
 
 Hei,
 
 in grib, clouds are described as low, medium and high clouds, e.g.
 73,74,75. Those are described by phenomenon, e.g.
 
 high cloud type:  Clouds of genera Cirrus, Cirrocumulus and Cirrostratus.
 
 low cloud type: Clouds of genera Stratocumulus, Stratus, Cumulus, etc.
 
 medium cloud type: Clouds of the genera Altocumulus, Altostratus, etc.
 
 (see
 
 In CF, this can currently only be expressed by
 cloud_area_fraction_in_atmosphere_layer and a not very well defined
 'vertical' parameter, e.g. by sigma:
 http://www.ecmwf.int/products/data/archive/data_faq.html#clouddefinitions
 
 
 When translating from grib to CF, this is not very satisfying:
 Either I add some dummy sigma-values, which will look like I have a
 model with just three levels, or I use 3 variables, all with the
 same 'standard_name=cloud_area_fraction' which looses some useful
 information. In both cases, the data-user will need to know
 something which cannot be expressed by CF.
 
 
 Looking at the page
 http://cf-pcmdi.llnl.gov/documents/cf-standard-names/ecmwf-grib-mapping
 there are mentioned 3 'standard_names' which are not in the
 standard_name-table yet, and I propose to do so:
 
 low_cloud_area_fraction
 medium_cloud_area_fraction
 high_cloud_area_fraction
 
 in additon (though this is not in grib), I would like to add
 fog_area_fraction (or surface_cloud_area_fraction).
 
 
 Best regards,
 
 Heiko
 
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David Hassell
National Centre for Atmospheric Science (NCAS)
Department of Meteorology, University of Reading,
Earley Gate, PO Box 243,
Reading RG6 6BB, U.K.

Tel   : 0118 3785613
Fax   : 0118 3788316
E-mail: d.c.hass...@reading.ac.uk
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Re: [CF-metadata] Standard_name for cloud-cover by phenomenon

2012-04-25 Thread TOYODA Eizi

Hi Heiko,

I support your proposal to add low_cloud_area_fraction, 
low_cloud_area_fraction, and high_cloud_area_fraction.


Just for information for all:

(1) There is something called high cloud etc as Heiko says.

(2) It's misunderstanding that whatever cloud located in high layer 
becomes high cloud.


(3) By that misunderstanding parameters like low cloud cover are once 
noted deprecated in GRIB edition 2.
But WMO expert team now understood proper meaning of parameter, so it will 
be corrected this November.

http://www.wmo.int/pages/prog/www/ISS/Meetings/IPET-DRC_Melbourne2011/Documents/IPETDRC-III_Doc2-2_3_AccumulationUnits.docBest Regards,--Eizi 
TOYODA- Original Message -From: Heiko Klein heiko.kl...@met.noTo: cf-metadata@cgd.ucar.eduSent: Wednesday, April 25, 
2012 6:49 PMSubject: [CF-metadata] Standard_name for cloud-cover by phenomenon Hei, in grib, clouds are described as low, medium and high 
clouds, e.g.73,74,75. Those are described by phenomenon, e.g. high cloud type:  Clouds of genera Cirrus, Cirrocumulus and Cirrostratus. 
low cloud type: Clouds of genera Stratocumulus, Stratus, Cumulus, etc. medium cloud type: Clouds of the genera Altocumulus, Altostratus, 
etc. (see In CF, this can currently only be expressed bycloud_area_fraction_in_atmosphere_layer and a not very well defined'vertical' 
parameter, e.g. by sigma: http://www.ecmwf.int/products/data/archive/data_faq.html#clouddefinitions When translating from grib to CF, 
this is not very sat
isfying: Either Iadd some dummy sigma-values, which will look like I have a model with justthree levels, or I use 3 variables, all with the 
same'standard_name=cloud_area_fraction' which looses some useful information.In both cases, the data-user will need to know something which 
cannot beexpressed by CF. Looking at the page http://cf-pcmdi.llnl.gov/documents/cf-standard-names/ecmwf-grib-mapping there are 
mentioned 3 'standard_names' which are not in thestandard_name-table yet, and I propose to do so: low_cloud_area_fraction 
medium_cloud_area_fraction high_cloud_area_fraction in additon (though this is not in grib), I would like to add fog_area_fraction (or 
surface_cloud_area_fraction). Best regards, Heiko ___ CF-metadata mailing 
list CF-metadata@cgd.ucar.edu http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata
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Re: [CF-metadata] Standard_name for cloud-cover by phenomenon

2012-04-25 Thread TOYODA Eizi

Hello David,

Cloud types (lo/mid/hi) of ISCCP described at 
http://isccp.giss.nasa.gov/cloudtypes.html is classification of height of 
cloud, observed in infrared image of satellite.


Heiko is talking about cloud types of the same name, but it's NWP product. 
They are not necesarily matching to satellite-based classification, rather 
tuned to imitate classical cloud types, so that the product can be used as 
substitute of cloud cover in synoptic station reports.  For example, if 
convection is forecast, that will be classified as low cloud, no matter 
how high the top of the cloud reaches.


Best Regards,
--
TOYODA Eizi, Japan Meteorological Agency

- Original Message - 
From: David Hassell d.c.hass...@reading.ac.uk

To: Heiko Klein heiko.kl...@met.no
Cc: cf-metadata@cgd.ucar.edu
Sent: Wednesday, April 25, 2012 7:36 PM
Subject: Re: [CF-metadata] Standard_name for cloud-cover by phenomenon



Hello Heiko,

I don't have a strong opinion, but am just testing the water ...

I wonder how one would define these standard names so that they were
correct for all uses, for example from a three layer model to the
ISCCP datasets.

In your example, would a model_level_number coordinate of [1, 2, 3]
fit your needs, possibly with an auxiliary coordinate of ['low',
'medium', 'high']? Would we need a standard name for the auxiliary
coordinate, or would a long name suffice?

All the best,

David

 Original message from Heiko Klein (11AM 25 Apr 12)


Date: Wed, 25 Apr 2012 11:49:06 +0200
From: Heiko Klein heiko.kl...@met.no
User-Agent: Mozilla/5.0 (X11; Linux i686; rv:11.0) Gecko/20120327
 Thunderbird/11.0.1
To: cf-metadata@cgd.ucar.edu cf-metadata@cgd.ucar.edu
Subject: [CF-metadata] Standard_name for cloud-cover by phenomenon

Hei,

in grib, clouds are described as low, medium and high clouds, e.g.
73,74,75. Those are described by phenomenon, e.g.

high cloud type:  Clouds of genera Cirrus, Cirrocumulus and Cirrostratus.

low cloud type: Clouds of genera Stratocumulus, Stratus, Cumulus, etc.

medium cloud type: Clouds of the genera Altocumulus, Altostratus, etc.

(see

In CF, this can currently only be expressed by
cloud_area_fraction_in_atmosphere_layer and a not very well defined
'vertical' parameter, e.g. by sigma:
http://www.ecmwf.int/products/data/archive/data_faq.html#clouddefinitions


When translating from grib to CF, this is not very satisfying:
Either I add some dummy sigma-values, which will look like I have a
model with just three levels, or I use 3 variables, all with the
same 'standard_name=cloud_area_fraction' which looses some useful
information. In both cases, the data-user will need to know
something which cannot be expressed by CF.


Looking at the page
http://cf-pcmdi.llnl.gov/documents/cf-standard-names/ecmwf-grib-mapping
there are mentioned 3 'standard_names' which are not in the
standard_name-table yet, and I propose to do so:

low_cloud_area_fraction
medium_cloud_area_fraction
high_cloud_area_fraction

in additon (though this is not in grib), I would like to add
fog_area_fraction (or surface_cloud_area_fraction).


Best regards,

Heiko

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--
David Hassell
National Centre for Atmospheric Science (NCAS)
Department of Meteorology, University of Reading,
Earley Gate, PO Box 243,
Reading RG6 6BB, U.K.

Tel   : 0118 3785613
Fax   : 0118 3788316
E-mail: d.c.hass...@reading.ac.uk
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Re: [CF-metadata] Standard_name for cloud-cover by phenomenon

2012-04-25 Thread Heiko Klein

Hei David,

I'm not familiar with the ISCCP datasets, but in a fast look on there 
web-page, it seems like the have already a translation to the 3 WMO 
clouds: http://isccp.giss.nasa.gov/cloudtypes.html


It is not that we run a 3 layer model. We compare our 20-130 layer 
models, and we do it on the basis of the WMO cloud types, so, like 
ISCCP, we have routines to reduce our model-levels to WMO cloud types.



It would of course be possible to introduce a new vertical axis of name 
'cloud_type' which is a index list of the different clouds. This would 
be more difficult for a general reader, in particular parsing the 
['low', 'medium', 'high'] axis will be cumbersome and error-prone.


On the other hand, CF usually describes different phenomenons with 
different standard_names, e.g. *_longwave_energy - *_shortwave_energy, 
swell wave - wave rather than with additional axes.



Best regards,

Heiko

On 2012-04-25 12:36, David Hassell wrote:

Hello Heiko,

I don't have a strong opinion, but am just testing the water ...

I wonder how one would define these standard names so that they were
correct for all uses, for example from a three layer model to the
ISCCP datasets.

In your example, would a model_level_number coordinate of [1, 2, 3]
fit your needs, possibly with an auxiliary coordinate of ['low',
'medium', 'high']? Would we need a standard name for the auxiliary
coordinate, or would a long name suffice?

All the best,

David

 Original message from Heiko Klein (11AM 25 Apr 12)


Date: Wed, 25 Apr 2012 11:49:06 +0200
From: Heiko Kleinheiko.kl...@met.no
User-Agent: Mozilla/5.0 (X11; Linux i686; rv:11.0) Gecko/20120327
  Thunderbird/11.0.1
To: cf-metadata@cgd.ucar.educf-metadata@cgd.ucar.edu
Subject: [CF-metadata] Standard_name for cloud-cover by phenomenon

Hei,

in grib, clouds are described as low, medium and high clouds, e.g.
73,74,75. Those are described by phenomenon, e.g.

high cloud type:  Clouds of genera Cirrus, Cirrocumulus and Cirrostratus.

low cloud type: Clouds of genera Stratocumulus, Stratus, Cumulus, etc.

medium cloud type: Clouds of the genera Altocumulus, Altostratus, etc.

(see

In CF, this can currently only be expressed by
cloud_area_fraction_in_atmosphere_layer and a not very well defined
'vertical' parameter, e.g. by sigma:
http://www.ecmwf.int/products/data/archive/data_faq.html#clouddefinitions


When translating from grib to CF, this is not very satisfying:
Either I add some dummy sigma-values, which will look like I have a
model with just three levels, or I use 3 variables, all with the
same 'standard_name=cloud_area_fraction' which looses some useful
information. In both cases, the data-user will need to know
something which cannot be expressed by CF.


Looking at the page
http://cf-pcmdi.llnl.gov/documents/cf-standard-names/ecmwf-grib-mapping
there are mentioned 3 'standard_names' which are not in the
standard_name-table yet, and I propose to do so:

low_cloud_area_fraction
medium_cloud_area_fraction
high_cloud_area_fraction

in additon (though this is not in grib), I would like to add
fog_area_fraction (or surface_cloud_area_fraction).


Best regards,

Heiko

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--
David Hassell
National Centre for Atmospheric Science (NCAS)
Department of Meteorology, University of Reading,
Earley Gate, PO Box 243,
Reading RG6 6BB, U.K.

Tel   : 0118 3785613
Fax   : 0118 3788316
E-mail: d.c.hass...@reading.ac.uk


--
Dr. Heiko Klein  Tel. + 47 22 96 32 58
Development Section / IT Department  Fax. + 47 22 69 63 55
Norwegian Meteorological Institute   http://www.met.no
P.O. Box 43 Blindern  0313 Oslo NORWAY
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Re: [CF-metadata] identification of vector components

2012-04-25 Thread Jonathan Gregory
Dear Bert

 a) A rectangular model in some UTM coordinates (or possibly a local
 derivative of that) in which x for all practical purposes measures
 distance east and y distance north. If we take the term true
 longitude in the definition of x_wind loosely, then we would have
 to write eastward_wind instead of x_wind. However, if true
 longitude literally means only a coordinate with standard name
 longitude then we are allowed to use x_wind.

I don't know about the UTM in detail, but since it is a projection I guess
you would put x_wind. However this use-case points out that what I wrote to
Mark wasn't quite right. I suppose that if x was zonal distance and y was
meridional distance (not in degrees), the components would be eastward and
northward (even though x and y are not longitude and latitude).

 b) Our model users can create curvilinear grids in lon-lat
 coordinates. The numerical model doesn't know if the grid that the
 users created happens to be a rectangular grid in lon-lat
 coordinates. In 99% of the cases the grid will be curvilinear and
 hence it does not align with true longitude and thus we should use
 x_wind for the velocity component (see also case c). However, if the
 curvilinear grid that the user provides happens to be a rectangular
 grid then suddenly the program is not allowed to write x_wind
 anymore, and has to write eastward_wind. This is awkward for the
 model to check and therefore I would also support the request to
 allow x_wind to mean wind in the direction of the x axes of the
 model.

But, as I wrote to Mark, the model does have to know what it is doing, because
if the grid does not align with lon and lat you must write 2D lon and lat
aux coord vars, whereas if the grid is lon and lat you would not write those
aux coord vars (since the coord vars are lon and lat). The same distinction
can be used to decide which standard names to use.

 Based on the description the grid x-axis I
 assume that x_wind may indicate the velocity in i direction in which
 case we need to define an explicit coordinate variable i(i) with
 attribute axis=X. Is this correct, or is x_wind intended to be the
 wind velocity in the local x coordinate direction and not one of the
 grid directions?

I don't know if this is correct, because I am not sure what the distinction
is between the i- and x-directions - sorry. Could you explain a bit more,
please?

While I recognise the point of Mark's proposal, I also agree with the
argument that this may not be helpful to users of the data, who are the
customers of CF. It is important to know if you are dealing with lon/lat
or x/y components, simply because quite a lot of software is based on the
former and cannot deal with the latter. So, to be safe, such an application
would ignore data which said it was x/y, because it wouldn't know if was
actually lon/lat. It's much easier for the data-writer to tell the data-user
that the components are lon/lat than for the data-user to infer this from
the coordinates.

Best wishes

Jonathan
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Re: [CF-metadata] Ocean CTD data following CF Conventions v1.6

2012-04-25 Thread John Caron

Hi andrew:

The file you sent (20110818T001140Z_M_HI504BEN.nc) appears to be a 
single profile. Assuming that, you would use the following template:


http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.6/cf-conventions.html#idp8363696

note that lat, lon and time coordinates all have to be scalars.

John

On 4/18/2012 8:24 PM, andrew walsh wrote:

Hi John,

We have now constructed a real netCDF file for you to check. QC flag
variables have been added in. The QC flagging method is based on the
proposed IODE scheme in (1) below.

Attached are the sample .nc file, text (ncdump) of same and a document
specifying the CDL.

Thanks and Regards,

Andrew Walsh


Ref.

(1) Konovalov et. al (March 2012), Proposal to adopt a quality flag 
scheme standard

for oceanographic and marine meteorological data, Version 1.2.

- Original Message - From: John Caron ca...@unidata.ucar.edu
To: andrew walsh awa...@metoc.gov.au
Sent: Thursday, April 05, 2012 10:44 AM
Subject: Re: [CF-metadata] Ocean CTD data following CF Conventions v1.6



ok

On 4/4/2012 6:42 PM, andrew walsh wrote:

Hi John,

Thank for your offer to check a sample netCDF CTD data file. At 
moment we don't have

some real .nc file but when we do I can send you a file for checking.

Andrew

- Original Message - From: John Caron
To: cf-metadata@cgd.ucar.edu
Sent: Wednesday, April 04, 2012 5:55 AM
Subject: Re: [CF-metadata] Ocean CTD data following CF Conventions v1.6


Hi all:

Lets see, I havent followed the entire conversation, but:

1) Andrew if you can send me a sample file (not just the CDL) I can 
check if it works in the CDM with the new 1.6 conventions, and maybe 
give you some advice from my POV.


2) Aggregation in the CDM comes in 2 flavors. 1) The original 
implementation simply appends multidimensional arrays together, eg 
joinNew  and joinExisting NCML aggregation. I call it syntactic 
aggregation because it doesnt know what its aggregating, and the 
homogeneity requirements are strict. 2) Feature Type collections 
(aka semantic aggregation) are the more recent development. These 
understand the coordinate information of the data, and so can handle 
variations in the representation, eg ragged arrays, scalar 
coordinates, etc. In this case, the CDM understands a dataset as a 
collection of features objects, which can be stored in a 
collection of files.  The interfaces to these collections is still 
under development. Most current and future work in the CDM is in 
this category.


John

snip 
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