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— Field: cccma cgcm3.1 sresa1b tmin
Field
cccma cgcm3.1 sresa1b tmin
describefield: error: cannot find IPCCData/sresa1b_daily/tasmin_a2_sresa1b_%%_cgcm3.1_t47_2081_2100.nc
Full metadata
. The associated
land/sea mask
is available for some operations
Get grid points, average area or generate subset
Mask:
no mask
 
add a mask to the list
Latitude:
°N -
°N
Longitude:
°E -
°E
Boundaries:
halfway grid points
interpolated
Make:
average
max
min
set of grid points
subset of the field
Considering:
everything
land points
sea points
show/hide more
only land points
only sea points
not land points
not sea points
Apply monthly high/low-pass filter
high-pass
low-pass
running-mean
1st order LOESS
2nd order LOESS
filter
cut-off value
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
18
24
30
36
48
60
72
84
96
108
120
144
180
240
300
360
480
600
720
840
960
1080
1200
months
requiring at least
% valid data
Apply year-on-year high/low-pass filter
high-pass
low-pass
running-mean
1st order LOESS
2nd order LOESS
filter
cut-off value
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
30
35
40
45
50
60
70
80
90
100
120
150
200
years
requiring at least
% valid data
Create a field with lower time resolution
First fill missing data:
ignore,
climatology,
trend,
persistence.
Then apply:
-month running mean with direction
backward
centred
forward
Then apply new time scale:
keep same time scale
annual (Jul-Jun)
annual (Jan-Dec)
biannual
seasonal
New variable:
mean
sd
sum
sum above
sum below
number
min
time of min
max
time of max
first time
last time
of tmin
Minimum:
% valid data
Threshold:
no cut
less than
greater than
absolute value
percentile
normal 1971-2000
Create a field with lower spatial resolution
Average over blocks of
longitude and
latitude grid cells
Compute ensemble mean
Compute anomalies
-
Download cccma cgcm3.1 sresa1b tmin
Downloading is only allowed for non-commercial use. Please consult the
PCMDI website
for further information.
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