The Atmospheric Infrared Sounder (AIRS) is a facility instrument onboard the polar-orbiting Earth Observing
System (EOS) Aqua satellite which was successfully launched on May 4, 2002. In combination with the Advanced Microwave Sounding Unit (AMSU-A) and
the Humidity Sounder for Brazil (HSB), the AIRS instrument suite constitutes an innovative atmospheric
sounding group of visible, infrared, and microwave sensors.
What does the AIRS instrument suite measure?
The AIRS instrument is a high resolution spectrometer with 2378 bands in the thermal infrared spectral region
(3.74 - 15.4 micrometers) and 4 bands in the visible spectral region (0.4 - 1.0 micrometers). These ranges have been specifically selected to
determine atmospheric temperature with an accuracy of of 1 K per 1 km thick layer in the troposphere and moisture profiles at an accuracy of 20% per 2 km thick layer in the lower troposphere (20% 60% in the upper troposphere).
See the AIRS instrument guide for details.
AMSU-A is a multi-channel microwave temperature/humidity sounder that measures global atmospheric temperature profiles
and provides information on atmospheric water in all of its forms (with the exception of small ice particles, which are transparent
at microwave frequencies). Information from AMSU-A in the presence of clouds is used to correct the AIRS infrared measurements for the effects of clouds.
See the AMSU-A instrument guide for details.
HSB is primarily a humidity sounder providing supplementary water vapor and liquid data to be used in the cloud clearing
process. Due to its higher spatial resolution (which equals that of AIRS) and a higher scan rate, the measurement density is 2.4 times that of AMSU-A.
See the HSB instrument guide for details. The HSB instrument failed on February 5th, 2003.
What AIRS data products are available from Goddard GES DISC? Does the data cost anything?
See AIRS Data Product page for the complete list of publicly available products. AIRS data is available to thepublic at NO COST.
What is AIRS Algorithm Version versus Data Collection?
Version 2.7 Algorithm produced Collection 1
Version 3 Algorithm produced Collection 2
Version 4 Algorithm produced Collection 3
Version 5 Algorithm produces Collection 5
Starting with the delivery of Algorithm Version 4 in 2005, AIRS Instrument Team began to produce two types of retrievals due to the failure of HSB on February 5, 2003. Data types that encompass retrievals using HSB data will have "H" letter in the short name of the data type, e.g. AIRH2RET. Retrievals without HSB have the familar names, e.g. AIRX2RET.
Documentation is associated with the Version of the Algorithm, which is embedded in the data filenames.
Data are organized and stored as Collections at GES DISC. Collections are different from the Algorithm Version until Version 5 where data version became the same as the collection. Our search engines will naturally show Collections.
Because reprocessing earlier data takes time and multiple months are scheduled concurrently, Collections generated by the previous Algorithm Version will necessarily coexist for a period of time along with Collections generated by the current Algorithm Version. Users are cautioned to double-check the Collection before downloading to ensure the data are those desired.
What is the format of AIRS data products? Are conversion tools available?
All AIRS data products are in HDF-EOS format. See our Tools page for details.
What is the daily volume of AIRS L1B and L2 data products, and the size of each granule?
The daily volume of AIRS L1B products is:
L1B-AIRS-IR-Rad: 13,440 Mb
L1B-Vis/NIR-Rad: 2,640 Mb
L1B-AMSU-Rad: 144 Mb
L1B-HSB-Rad: 408 Mb
L2-Standard-Product: 552 Mb
L2-Support-Product: 2,496 Mb
L2-Cloud-Cleared-Rad: 2,280 Mb
The average size of each granule:
L1B-AIRS-IR-Rad: 56 Mb
L1B-Vis/NIR-Rad: 11 Mb
L1B-AMSU-Rad: 0.6 Mb
L1B-HSB-Rad: 1.7 Mb
L2-Standard-Product: 2.3 Mb
L2-Support-Product: 10.4 Mb
L2-Cloud-Cleared-Rad: 9.5 Mb
May I order data in smaller units than your granules (subsets of the granules)?
Yes. When you order data from GES DISC, you can add on channel or variable subsetting options to be applied on L1B and L2 products.
What is the length of time between satellite measurement and data availability?
There will typically be a 30-hour to 36-hour lag for AIRS L1B processed data.
Where do I go online to search and order AIRS data?
There are several options available for obtaining AIRS data, see our Data Access page for a list of options. Because all the AIRS data are online, these data access methods will converge on the FTP step at the end. Pick one method that suits your preference.
Answers to Documentation Questions
Where can I find basic Readmes for AIRS data products?
Our readmes contain brief information about data product characteristics, data ordering, read software and contact information. The readmes for AIRS data products are available at: http://disc.sci.gsfc.nasa.gov/AIRS/documentation.shtml
Where can I find complete users guides for AIRS data products and instruments?
These guides contain detailed information about data product characteristics, ordering, distribution, usage and instruments.
The users guides for AIRS data products and instruments are available at: http://disc.sci.gsfc.nasa.gov/AIRS/documentation.shtml
Where can I find information about the AIRS algorithms?
What document gives a description of the AIRS data field attributes (geolocation, swath)?
The document called AIRS Processing Files Description provides a detailed description of the dimensions,
geolocation fields, full swath data fields and other attributes.
What are the AIRS Earth Science Data Type (EDST) data collection descriptors?
AIRS ESDT collection descriptors contain all AIRS HDF-EOS metadata attributes (headers) such as version number, data date, spatial coordinates, etc. AIRS ESDTs as well as other platform instrument ESDTs can be found at: The EOS Core System (ECS) Information page: http://ecsinfo.gsfc.nasa.gov/ECSInfo/ecsmetadata/ESDT/ESDT_descriptors.html
From where can I get the current version of AIRS Level 2 retrieval algorithms?
The source code has not been cleared for public release at this time. The plan is to release the source code in the future, via Direct Broadcast contacts, but no schedule has been established for the release of Level 2 code. If you wish to compare retrieval products, the AIRS project is happy to cooperate and work with you as long as you choose to use actual AIRS data instead of simulation data.
Answers to Data Ordering Questions
Who can order AIRS data products?
All NASA Earth Observing System (EOS) mission data including AIRS data is freely available to the public. Anyone can order these data products free of charge.
Do I need to register to become a new user?
Registration is not required to obtain AIRS data from GES DISC. On the other hand, the AIRS science team at NASA JPL encourages you to register with them so that you will receive announcements of discovered features and caveats which are directly applicable to your area of research. You will also receive the AIRS Newsletter.
Is AIRS data available via FTP to/from any site?
See our Data Access page for the server names and directory paths. You may also subscribe to the AIRS data so that the data products can be pushed to your site. Please contact User Services to set up FTP push.
Why would there be missing data for certain days?
There are several possible reasons for missing data:
The launch of the Aqua satellite that carries the AIRS instrument occurred on May 4, 2002. Processing on AIRS data to be distributed to the public began on data date March 12, 2003.
If you are seeking most recent data, it is possible the data is still in the processing pipeline and will soon be available.
There is typically a lag from the time instrument observations are made on the satellite until the data is processed and made available to the public.
Sometimes satellite maneuvers, other necessary onboard procedures or technical problems will cause gaps in the data collection.
Those instances will be documented and found at the NASA JPL AIRS website when appropriate.
Who can I contact for help with ordering AIRS data?
If you need assistance with ordering via GES DISC or WIST, please contact the GES DISC User
Service group at 301-614-5224 or send an email to help-disc@listserv.gsfc.nasa.gov
GES DISC User Services
NASA GSFC Code 610.2
Greenbelt, MD 20771
FAX (301) 614-5268
Answers to AIRS Subsetting Questions
What are the AIRS subset services at the NASA Goddard Earth Sciences Data and Information Services
Center (GES DISC)?
When you order data through WHOM or Mirador search engine, you can choose variable or channel subsetting on AIRS L1B and L2 products. L3 subsetting can be done in Giovanni.
What is "Golden Set of Channels" offered for AIRS channel subsetting services ?
These are the groups of channels recommended by the AIRS Science Team for
channel subsetting of AIRS L1B and L2 products. See table below.
The grouping is generally based on hardware module in the AIRS instrument.
The channel number range and the frequency range in addition to
module name for each set are also listed to give a better
description of each set. These are meant to make it easy
for users to select all channels in various frequency ranges.
The "comments" in this table are only meant as comments to
let users know typical uses for data in this range. For example
M-06 has the comment "Ozone". Not all channels in this set
are necessarily good for ozone and not all ozone channels are
in this set. It is the set of all channels on module 6, and the
most prominent feature of this section of the spectrum is
ozone sensitivity. One may also note that frequency ranges
overlap somewhat between the modules, so frequency ranges can
be deceptive.
Hardware
Module
Frequency Range
Channel Number Range
Number of Channels
Comments
All
1 - 2378
323
The Numerical Weather Prediction sets
M-12
1 - 130
130
Long-wave temperature sounding
M-11
131-274
143
Long-wave temperature sounding
M-10
275 - 441
166
Long-wave surface
M-09
442 - 608
166
Long-wave surface
M-08
609 - 769
160
Long-wave surface
M-07
770 - 936
166
Long-wave surface
M-06
937 - 1103
166
Ozone
M-05
1104 - 1262
158
Long-wave surface, Ozone
M-04d
1263 - 1368
105
Water vapor
M-04c
1369 - 1462
93
Water vapor, methane
M-03
1463 - 1654
191
Water vapor
M-04b
1655 - 1760
105
Water vapor
M-04a
1761 - 1864
103
Water vapor
M-02b
1865 - 2014
149
Shortwave temperature sounding, CO
M-01b
2015 - 2144
129
Shortwave temperature sounding
M-02a
2145 - 2260
115
Shortwave Surface
M-01a
2261 - 2378
117
Shortwave Surface
What are the channels contained in the "Numerical Weather Prediction (NWP) Set"?
The NWP set is the set of channels used by Numerical Weather Prediction centers.
These channels were selected as key well-behaved channels (as of 2003) that collectively
have almost as much information as the full 2378 channel set.
Index
Channel Number
Frequency
(wavenumber)
1
1
649.612976
2
6
650.807007
3
7
651.046021
4
10
651.765015
5
11
652.005005
6
15
652.968018
7
16
653.208984
8
17
653.450012
9
20
654.174988
10
21
654.416992
11
22
654.658997
12
24
655.143982
13
27
655.872986
14
28
656.116028
15
30
656.604004
16
36
658.070007
17
39
658.80603
18
40
659.052002
19
42
659.544006
20
51
661.767029
21
52
662.015015
22
54
662.512024
23
55
662.760986
24
56
663.008972
25
59
663.757019
26
62
664.507019
27
63
664.757019
28
68
666.010986
29
69
666.262024
30
71
666.765991
31
72
667.018005
32
73
667.27002
33
74
667.521973
34
75
667.775024
35
76
668.028015
36
77
668.281006
37
78
668.533997
38
79
668.786987
39
80
669.041016
40
82
669.549011
41
83
669.802979
42
84
670.057983
43
86
670.567017
44
92
672.099976
45
93
672.356995
46
98
673.640991
47
99
673.898987
48
101
674.414001
49
104
675.189026
50
105
675.447998
51
108
676.226013
52
110
676.744995
53
111
677.005005
54
113
677.526001
55
116
678.307983
56
117
678.570007
57
123
680.142029
58
124
680.403992
59
128
681.45697
60
129
681.721008
61
138
689.491028
62
139
689.762024
63
144
691.119019
64
145
691.390991
65
150
692.755005
66
151
693.028992
67
156
694.400024
68
157
694.674011
69
159
695.224976
70
162
696.052002
71
165
696.880981
72
168
697.711975
73
169
697.98999
74
170
698.267029
75
172
698.823975
76
173
699.10199
77
174
699.380981
78
175
699.659973
79
177
700.218018
80
179
700.776978
81
180
701.057007
82
182
701.617981
83
185
702.460999
84
186
702.742004
85
190
703.869995
86
192
704.435974
87
193
704.718994
88
198
706.137024
89
201
706.991028
90
204
707.846985
91
207
708.705994
92
210
709.565979
93
213
710.429016
94
215
711.005005
95
216
711.29303
96
218
711.870972
97
221
712.739014
98
224
713.609009
99
226
714.190979
100
227
714.481995
101
232
715.940979
102
239
717.994019
103
248
720.651001
104
250
721.244019
105
251
721.541016
106
252
721.838013
107
253
722.13501
108
256
723.028992
109
257
723.328003
110
261
724.523987
111
262
724.823975
112
267
726.325989
113
272
727.833984
114
295
734.150024
115
299
735.382019
116
300
735.690002
117
305
737.236023
118
308
738.166992
119
309
738.478027
120
310
738.789001
121
318
741.286011
122
321
742.22699
123
325
743.484985
124
333
746.013977
125
338
747.603027
126
355
753.057007
127
362
755.325012
128
375
759.573975
129
453
793.171021
130
475
801.098999
131
484
804.385986
132
497
809.179993
133
528
820.833984
134
587
843.913025
135
672
871.289001
136
787
917.30603
137
791
918.747009
138
843
937.90802
139
870
948.184021
140
914
965.43103
141
950
979.127991
142
1003
1001.38397
143
1012
1005.263
144
1019
1008.29999
145
1024
1010.48102
146
1030
1013.10901
147
1038
1016.63501
148
1048
1021.07703
149
1069
1030.52795
150
1079
1035.08899
151
1082
1036.46497
152
1083
1036.92395
153
1088
1039.22705
154
1090
1040.151
155
1092
1041.07703
156
1095
1042.46802
157
1104
1056.104
158
1111
1059.44397
159
1115
1061.36096
160
1116
1061.84094
161
1119
1063.28503
162
1120
1063.76697
163
1123
1065.21594
164
1130
1068.60999
165
1138
1072.51501
166
1142
1074.47803
167
1178
1092.45105
168
1199
1103.19897
169
1206
1106.82605
170
1221
1114.67505
171
1237
1123.16199
172
1252
1131.229
173
1260
1135.57495
174
1263
1216.974
175
1266
1218.49597
176
1278
1224.62305
177
1285
1228.22498
178
1290
1230.81104
179
1301
1236.53894
180
1304
1238.10999
181
1329
1251.35706
182
1371
1285.47498
183
1382
1291.70898
184
1400
1302.03699
185
1401
1302.61499
186
1402
1303.19397
187
1403
1303.77295
188
1415
1310.76599
189
1424
1316.05798
190
1449
1330.97595
191
1455
1334.60498
192
1466
1339.68701
193
1471
1342.23804
194
1477
1345.31201
195
1479
1346.34094
196
1488
1350.98804
197
1500
1357.23596
198
1519
1367.25305
199
1520
1367.78503
200
1538
1377.42603
201
1545
1381.21301
202
1565
1392.15295
203
1574
1397.13501
204
1583
1402.15295
205
1593
1407.77295
206
1614
1419.72595
207
1627
1427.229
208
1636
1432.47095
209
1644
1437.16394
210
1652
1441.88794
211
1669
1468.82703
212
1674
1471.91003
213
1681
1476.24695
214
1694
1484.36902
215
1708
1493.21497
216
1717
1498.95801
217
1723
1502.81006
218
1740
1513.83203
219
1748
1519.07397
220
1751
1521.04895
221
1756
1524.35205
222
1763
1542.44897
223
1766
1544.48206
224
1771
1547.88196
225
1777
1551.98096
226
1780
1554.03796
227
1783
1556.10095
228
1794
1563.70898
229
1800
1567.89001
230
1803
1569.98901
231
1806
1572.09204
232
1812
1576.31702
233
1826
1586.25903
234
1843
1598.495
235
1852
1605.04602
236
1865
2181.49512
237
1866
2182.3999
238
1867
2183.30688
239
1868
2184.21411
240
1869
2185.12207
241
1872
2187.8501
242
1873
2188.76099
243
1875
2190.58496
244
1876
2191.49805
245
1877
2192.41211
246
1881
2196.07495
247
1882
2196.99292
248
1883
2197.91089
249
1884
2198.83008
250
1897
2210.8479
251
1901
2214.57202
252
1911
2223.93604
253
1917
2229.59204
254
1918
2230.53711
255
1921
2233.37695
256
1923
2235.2749
257
1924
2236.2251
258
1928
2240.03296
259
1937
2248.64795
260
1938
2249.60889
261
1939
2250.57104
262
1941
2252.49707
263
1946
2257.3269
264
1947
2258.29492
265
1948
2259.26392
266
1958
2269.00098
267
1971
2281.78101
268
1973
2283.75903
269
1988
2298.70508
270
1995
2305.7439
271
2084
2363.98389
272
2085
2364.94092
273
2097
2376.48999
274
2098
2377.45801
275
2099
2378.42603
276
2100
2379.39502
277
2101
2380.36499
278
2103
2382.30811
279
2104
2383.28003
280
2106
2385.22705
281
2107
2386.2019
282
2108
2387.17798
283
2109
2388.15405
284
2110
2389.13208
285
2111
2390.11011
286
2112
2391.08911
287
2113
2392.06812
288
2114
2393.04907
289
2115
2394.03003
290
2116
2395.01196
291
2117
2395.99512
292
2118
2396.979
293
2119
2397.96411
294
2120
2398.94897
295
2121
2399.93604
296
2122
2400.9231
297
2123
2401.91089
298
2128
2406.86304
299
2134
2412.83203
300
2141
2419.83496
301
2145
2446.19507
302
2149
2450.2981
303
2153
2454.41406
304
2164
2465.80396
305
2189
2492.0791
306
2197
2500.60205
307
2209
2513.49292
308
2226
2531.97803
309
2234
2540.76904
310
2280
2561.12891
311
2318
2600.49902
312
2321
2603.65991
313
2325
2607.88696
314
2328
2611.06592
315
2333
2616.38306
316
2339
2622.79199
317
2348
2632.46606
318
2353
2637.87207
319
2355
2640.04102
320
2363
2648.75195
321
2370
2656.4231
322
2371
2657.52197
323
2377
2664.13794
Answers to AIRS Imagery Questions
Where can I get browse images of AIRS data? Do the images cost anything?
AIRS Daily summary browse images can be viewed through AIRS summary browse search option in
GES DAAC Search and Order.
The AIRS summary browse data is used as only ordering tool and cannot be distributed to public users as a data product. Starting from Version 5, the summary browse images are discontinued.
All browse images SHOULD NOT be used as the basis of any science research and do not constitute a research-quality product. The images are available at NO COST.
What purpose do browse images serve?
Browse images are low-resolution visualizations used in search and order tools. The purpose of having browse images is to allow
science data users to get an idea about what is in the data before ordering the data. For example, users should be able to tell
if a location they have selected is sufficiently cloud-free or cloudy enough for cloud studies. In other words, the browse
images have a role in helping users to select and organize the science data they have obtained.
Why should I take time to preview an image?
In the GES DISC Search and Order interface (WHOM or Mirador), there is an option to preview a data granule before ordering the data granule.
Previewing an image of the data can help to determine the extent and location of cloud cover, confirm its geographical
location, or observe quality problems such as speckling, line drops, and sun glint. However, this is not to be confused with our AIRS summary browse image which is a daily product
(i.e., some anomalies may not be visible on a summary browse image due to the sub-sampling process).
Can I use the browse image for research and analysis purposes?
No. Browse images represent only a fraction of the original data or have a low-resolution. They
should not be used for analysis, evaluation or interpretation of data content.
What is the volume of a browse image?
The size of the browse images for L1B products are less than 200 kilobytes with most ranging from 100 to
150 kilobytes.
Answer to Science Questions
What is the repeat cycle of AIRS?
The AIRS swath repeat cycle is 16 days.
What is the vertical resolution of AIRS Level-2 products?
Standard product is on 28 pressure levels and Support product is on 100 pressure levels. Complete lists of those levels can be found at http://disc.sci.gsfc.nasa.gov/AIRS/documentation.shtml, under Level-2 Products section (Pressure Arrays). The documentation on AIRS Levels and Layers is also useful and can be found at the same web location.
What is cloud-clearing method?
The cloud-clearing approach is used to retrieve atmospheric and surface properties. It
relies on the fact that cloud amount tends to vary appreciably among nearby 15 km AIRS
footprints, but that other atmospheric and cloud properties (averaged within AIRS footprints)
are more uniform. This means that radiance differences between adjacent AIRS footprints are
primarily caused by changes in cloud amount. Adjacent, multi-spectral observations can then
be solved in a least squares sense for the infrared radiance that is common to the clear
portions of all field of view. Since the effect of clouds has been removed, atmospheric and
surface variables can be retrieved from these radiances as if no clouds were present. Cloud
properties can be also determined based on the difference between observed and cloud-cleared radiances.
In this technique, any aerosols that interact with IR radiation can be treated as an unusual
cloud layer. As with water clouds, there must be a clear region somewhere within each
AMSU-A footprint. Thus, narrow smoke plumes are not a problem, but a uniform dust layer
extending more than 45 km across would get folded into the "clear-column" radiances and
could degrade the atmospheric retrieval. To assess the impact of such horizontally
widespread aerosols, it should be noted that stratospheric sulfuric acid aerosols are
optically thin in the IR, except after large volcanic eruptions. Tropospheric anthropogenic
aerosols are also optically thin to AIRS because of their small size.
Although this method has been used and proved by existing systems (TOVS), it should be
noticed that the higher spectral resolution of AIRS allows this technique to be exploited
to a higher degree than ever before.
Does AIRS Level-2 product include measurements from AMSU and HSB?
One flavor of the AIRS Level-2 Standard and Support Products does. Their product names are AIRH2RET and AIRH2SUP respectively. The end date for these products is 2003-Feb-05 due to HSB instrument failure. The Standard Product (AIRX2RET) and Support Product (AIRX2SUP) are careated using only the AIRS and AMSU, without HSB.
Can radiance value be negative?
In general, AIRS can have negative radiances for shortwave channels.
When the scene temperature is low, below 200K, shortwave AIRS channels can have negative
radiances. This happens over very high cloud in tropics and over Antartica.
In bad channels, radiance can be negative for several different reasons:
1) -9999.0 is used as a flag value when input data is missing or out of range. Out of range
data happens most frequently as a result of sun glint causing saturation.
2) Radiances can go negative when the noise is greater than the scene. This will happen in
very noisy detectors (so users should check the channel properties file and/or the
ExcludedChans field in the data. Note ExcludedChans is not defined correctly in the docs.
Any channel with a value 3 or higher should be ignored. NeN is also a good diagnostic of
channels experiencing transient high noise episodes.)
The users should be warned to use only the channels that are marked good ( BadFlag = 0 in the channel property file.).