下载的2014年fnl数据中云量变量不全，请问其它再分析数据中是否有完整云量数据

咖啡伴侣

最近处理2014年的fnl数据想从其中获取总云量低云量数据，生成的CTL文件发现，有的变量个数138个（A.ctl——fnl_20140212_12_00），有的98个（B.ctl——fnl_20140213_00_00），云量变量个数不一样，检查grib2文件大小也不一样一个15mb左右，一个13mb左右，我的这两个fnl不是一批下载的，检查网上2014年数据都是13mb左右的了，里面只有TCDCccll，2014年的fnl数据好像变动挺大。

请求帮助，如何获取有总云、低云量的fnl数据，或者别的再分析数据里是否有完整云量数据可供下载！！！麻烦知道的告知下，在此谢过！

两个文件部分ctl也贴上：

fnl_20140212_12_00.ctl
dset ^fnl_20140212_12_00.grib2
index ^fnl_20140212_12_00.grib2.idx
undef 9.999E+20
title fnl_20140212_12_00.grib2
*  produced by g2ctl v0.0.3d
* griddef=1:0:(360 x 181):grid_template=0:winds(N/S): lat-lon grid:(360 x 181) units 1e-06 input WE:NS output WE:SN res 48 lat 90.000000 to -90.000000 by 1.000000 lon 0.000000 to 359.000000 by 1.000000 #points=65160
dtype grib2
ydef 181 linear -90.000000 1
xdef 360 linear 0.000000 1.000000
tdef 1 linear 12Z12feb2014 1mo
*  z has 26 levels -prs
zdef 26 levels 100000 97500 95000 92500 90000 85000 80000 75000 70000 65000 60000 55000 50000 45000 40000 35000 30000 25000 20000 15000 10000 7000 5000 3000 2000 1000
options pascals
vars 138
no4LFTXsfc  0,1,0   0,7,193 ** surface none Best (4 layer) Lifted Index [K]
no5WAVA500mb  0,100,50000   0,3,197 ** 500 mb none 5-Wave Geopotential Height Anomaly [gpm]
no5WAVH500mb  0,100,50000   0,3,193 ** 500 mb none 5-Wave Geopotential Height [gpm]
ABSVprs   26,100  0,2,10 ** (1000 975 950 925 900 850 800 750 700 650 600 550 500 450 400 350 300 250 200 150 100 70 50 30 20 10) none
………………
………………
SPFH2m  0,103,2   0,1,0 ** 2 m above ground none Specific Humidity [kg/kg]
SPFH30_0mb 0,108,3000,0   0,1,0 ** 30-0 mb above ground none Specific Humidity [kg/kg]
TCDCclm  0,200,0   0,6,1,0 ** entire atmosphere (considered as a single layer) ave Total Cloud Cover [%]
TCDCblcll  0,211,0   0,6,1,0 ** boundary layer cloud layer ave Total Cloud Cover [%]
TCDClcll  0,214,0   0,6,1,0 ** low cloud layer ave Total Cloud Cover [%]
TCDCmcll  0,224,0   0,6,1,0 ** middle cloud layer ave Total Cloud Cover [%]
TCDChcll  0,234,0   0,6,1,0 ** high cloud layer ave Total Cloud Cover [%]
TCDCccll  0,244,0   0,6,1 ** convective cloud layer none Total Cloud Cover [%]

fnl_20140213_00_00
dset ^fnl_20140213_00_00.grib2
index ^fnl_20140213_00_00.grib2.idx
undef 9.999E+20
title fnl_20140213_00_00.grib2
*  produced by g2ctl v0.0.3d
* griddef=1:0:(360 x 181):grid_template=0:winds(N/S): lat-lon grid:(360 x 181) units 1e-06 input WE:NS output WE:SN res 48 lat 90.000000 to -90.000000 by 1.000000 lon 0.000000 to 359.000000 by 1.000000 #points=65160
dtype grib2
ydef 181 linear -90.000000 1
xdef 360 linear 0.000000 1.000000
tdef 1 linear 00Z13feb2014 1mo
*  z has 26 levels -prs
zdef 26 levels 100000 97500 95000 92500 90000 85000 80000 75000 70000 65000 60000 55000 50000 45000 40000 35000 30000 25000 20000 15000 10000 7000 5000 3000 2000 1000
options pascals
vars 98
no4LFTXsfc  0,1,0   0,7,193 ** surface none Best (4 layer) Lifted Index [K]
no5WAVA500mb  0,100,50000   0,3,197 ** 500 mb none 5-Wave Geopotential Height Anomaly [gpm]
no5WAVH500mb  0,100,50000   0,3,193 ** 500 mb none 5-Wave Geopotential Height [gpm]
ABSVprs   26,100  0,2,10 ** (1000 975 950 925 900 850 800 750 700 650 600 550 500 450 400 350 300 250 200 150 100 70 50 30 20 10) none
………………
………………
SOILW0_10cm 0,106,0,0.1   2,0,192 ** 0-0.1 m below ground none Volumetric Soil Moisture Content [Fraction]
SOILW10_40cm 0,106,0.1,0.4   2,0,192 ** 0.1-0.4 m below ground none Volumetric Soil Moisture Content [Fraction]
SOILW40_100cm 0,106,0.4,1   2,0,192 ** 0.4-1 m below ground none Volumetric Soil Moisture Content [Fraction]
SOILW100_200cm 0,106,1,2   2,0,192 ** 1-2 m below ground none Volumetric Soil Moisture Content [Fraction]
SPFH2m  0,103,2   0,1,0 ** 2 m above ground none Specific Humidity [kg/kg]
SPFH30_0mb 0,108,3000,0   0,1,0 ** 30-0 mb above ground none Specific Humidity [kg/kg]
TCDCccll  0,244,0   0,6,1 ** convective cloud layer none Total Cloud Cover [%]
TMPsfc  0,1,0   0,0,0 ** surface none Temperature [K]
TMPprs   26,100  0,0,0 ** (1000 975 950 925 900 850 800 750 700 650 600 550 500 450 400 350 300 250 200 150 100 70 50 30 20 10) none Temperature [K]

milly620

同求啊，楼主，我各种试都找不到

咖啡伴侣

milly620 发表于 2015-6-4 19:57
同求啊，楼主，我各种试都找不到

我也是愁啊，我是环境气象业务需要稳定度等一些方面的研究

milly620

你也是有1*1度的FNL数据吗？我昨天晚上给那个grace peng发了邮件。
下面是他回的
I sent out a notice last October about this issue.
You can read the archive here:
http://rda.ucar.edu/datasets/ds083.2/docs/FNL_Notice_Archive
Pay special attention to ----- Notice sent 2014-10-19 -----,
about half-way down.
The answer is that there is no cloud information in the FNL
files. Use our "Look for Data" search by parameter/variable tool.
http://rda.ucar.edu/#!lfd?nb=y&b=all&v=Full+List

第一个网址里面有一段话：On December 15, 2009, NCEP FNL analysis files began including misleading forecast fields set to zero.  We have removed the nonsensical forecast variables from the FNL analyses, slimming down the GRIB2 files from 16 MB to 14 MB.  This will save you bandwidth and storage costs.
我的理解是说那些变量数据是不准确的，所以现在去掉了？你看看是不是？

咖啡伴侣

milly620 发表于 2015-6-5 09:20
你也是有1*1度的FNL数据吗？我昨天晚上给那个grace peng发了邮件。
下面是他回的
I sent out a notice la ...

E文看不太懂，反正就是去除了某些变量，文件变小了，节省咱们带宽和存储消耗
老外真是为我们考虑啊！

milly620

咖啡伴侣 发表于 2015-6-5 16:05
E文看不太懂，反正就是去除了某些变量，文件变小了，节省咱们带宽和存储消耗
老外真是为我们考虑啊！{:b ...

是呀~看来这套数据不适合计算稳定度诶~我换micaps数据了~我是计算混合层高度

咖啡伴侣

milly620 发表于 2015-6-6 20:30
是呀~看来这套数据不适合计算稳定度诶~我换micaps数据了~我是计算混合层高度

我也是计算混合层高度、通风量之类的，共同研究