utilizing higher resolution land surface remote sensing ... · utilizing higher resolution land...
TRANSCRIPT
Utilizing Higher Resolution Land SurfaceRemote Sensing Data for Assessing Recent
Trends over Asia Monsoon Region-- A Sample Study of Using Data at NASA MAIRS Data Center
Suhung Shen
Gregory Leptoukh
NASA Goddard Earth Sciences Data and Information Services Center
Mar 22-2 2010 MAIRS Workshop 1
https://ntrs.nasa.gov/search.jsp?R=20100032040 2018-08-18T21:09:39+00:00Z
Outlines:
*About NASA MAIRS Data Center
*Introduction of data access tools
*Introduction of Products available
*Higher resolution Land Surface Temperature
*Preliminary Result of LST Trend over China
Mar 22-24 2010Mar 22-24 2010
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Online Data Visualization and Analysis: Giovanni MAIRS
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NASA MAIRS Data Center
http://disc.gsfc.nasa.gov/mairs Goals:-Leverage the in&structure, tools, and data
of'the successful NASA NEESPI Data Center
project
• Provide the NASA satellite remote sensed
and Modeled land, atmospheric, and oceanic
data and their subsets over the Asian
monsoon region
• Work with MAIRS scientists to collect
ground-based, as well as regional model
data and to promote data sharing
Mar 22-24 2010 3
Access Data and Information:
Data Archived at GES DISCNASA Satellite measurements and model data
• Provides ftp or http download• Provides search and download tool: Mirado• Provide subset of data: OPeNDAP, GDS• Provide visualization and analysis tools: Giovanni
Data Not Archived at GES DISCBased on MAIRS scientist's need, collect satellite, model,
ground-based data and information and will provideproduct metadata, such as product name, measurement, data format, data location, person of contact, etc.
Mar 22-24 2010
You are here: Keyword Search
MODVt005
Data Access: Mirador - Simple SearchA drastically simplified, clean interface that employs the Google mini appliancefor metadata keyword searches.
(Ou • C x tj^ I-* http &irador.gsfc nasa gavr I S T Googl?
w Customize Links u duc_ form _02_16_20 http:rjwww.marketarn Jr}' Windows Media ] Employment U5 - MD ... d web design 2 TAX D Immigration &Naturali... L housing
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Mirador Earth Science Data Search T... L
Mirador supportsSearching by:
Projects 'i ` Science Areas
Keyword
Time span
cation+ News
* Restricted Data
+ Feedback
+ FAQ
IFrom:
To:
L 0 o Mirado supportsNavigation by:
AIRS OMI ML5 HIRDLS, TOMS UARS TRW GLDAS, SORCE. Subsets from A-Train
Proje cts Available: Sensors (a.q MOOIS. AIRS. OMI and MLS)
What's at's View GES-DISC Data by NASA Science Area. Search TRMM Orbital data by %missing data S c i e n ee AreaNew:
Mar 22-24 2010
Time Range
VisualizationFunction
Data Access: Giovanni MAIRS
â Customizable interface
Spatial Area
Parameters
r.
® Monsoon Alh Ink l-d Regional Study MARS)x..m.y....K^..,v.M.^^°^.eebn,^i
xxwnmcx¢,rt..x. w..n,uw
n.n.ixw^^ r mm^:^^^rtn^msx.nmae ro,er..rtsvm.a anovi.5 twervn ax.xx9xd Reamu SUM MCF^Nwaea f,n
x'^..en,om.a. (.K.......^. •.n^.an Unsnw.n•=H co:x: 3uxnexwuxo,x.i¢uc
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_.. ._.
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â No need to install
software; No need to
download and process data
â Provide visualization and
basic statistical analysis
functions (time series,
scatter plot, difference, etc)
â Able to download
different format images (gif,
KMZ) or data (ASCII, NetCDF,
HDF)
Users simply makeselection critera:
Mar 22-24 2010 6
Products in MAIRS Giovanni
Group Parameter Name Sensor NameAvailable Time SpatialSince Interval res.(deg)
Winds, Pressure, Geopotential Height, AirMERRA 1979.01 Monthly 213 x 1/2
Temperature ,Water VaporMeteorology
MonthlyGPCP precipitation GPCP 1979.01
Daily1.0x1.0
Aerosol Optical Depth MODIS 2000.02Monthly
1.0x1.0Daily
AtmosphericNO2 OMI 2004.08 Daily 025x0.25
Chemistry
CH4, CO AIRS 2002.08Monthly
1 x 1Daily
Land Cover Type &DynamicsMODIS
2001 Yearly 1 kin(MOD 12Q 1)
MODIS Monthly 1.0x1.0Vegetation Indices
(MOD13A1)2000.03
16-day 1 kin, 5 kin
Land Surface TemperatureMODIS
2001.0.,Monthly 1.0x1.0Land Surface
(Higher (MOD 11A2) 8-Day 1 loin
MODIS Monthly 1.0x1.0Resolution)Thermal anomalies/Fire 2000.03
(MOD14A2) S-Day 1 kin
Total Evapotranspiration, Snow WaterEquivalent
GLDAS 1979.01 Monthly 1x1
Surface Runoff, Soil Moisture GLDAS 1979.01 Monthly 1x1
Chlorophyll a concentration SeaWiFS 1997.09 Monthly 9 kmOcean
Sea surface temperature MODIS-Terra 2000.02 Monthly 9 km
Socio-economic Nighttime Lights DMSP-OLS 1992-2003 yearly 1 kinMar 22-24 2010
Sample Plots throughMAIRS and Other Giovanni interface
OMT03d.003
Daily UV Aerosol Index from OMIArea-Averaged Time Series (OMT03d.003)
(Region- 110E-130E. 3Of,1-44N1
sal I^deR [^ni0ess]
MODIS-Terra
True Color Image
Dust Storm over East ChinaMar 1-2 2008
` 2008
200
Cloud/Aerosol Classificatian (Vertical Feature Mask) (Calipso — Lidar)24—Feb-2908 17:55:26 —18:0-3:45 GMT
Clouds ?-.....-....; stmtospheric aouds Total Attenuo[wn
17:55:26 17:57:31 17:59:36 18:01:40 18:03:45
Cloud/Aerosol classification from 1zoCalipso-Lidar shows vertical feature of _ 9.5 M ^aerosol on Feb 29 18Z 2008 i2a
a4.$
d2.4
0.0
52.7 45-3 37.9 36-4 22.9 Latitude
125.0 124.9 122.5 129.4 115.5 Longitude
March 1
Mar 22-24 2010 9
Fire Pixel Cant [unitless]Index/OMIT s ;
e
r'
0YNO2G,00-7 NO2 0olmm^ Ayg<Irft^Clenr, t Wti tl 10'15 —1-1—
21YN 1 ^(1 L BOC X004
NO2^_OM1ID
4
11
1
n
am
^ r^r
r
-6 100
400
100
200
150
1 1;
5
I]
Fires in Northeast China Oct 14-19 2004
M0014CM 1.445 Claud and55
54N
53N
52N {
51N
511N
49N r
aeN
4iN
49N
45N
44N
43N
42N
41N
40 ME 122E 124E 126E
ff510RAIX35.00 CO wl mn nq ra 0 R c A' [IOE-9 rmrY5 `b'n$a (,.IA°erP1°'"9e^`',r
C-0-at 407 hPaIRS
o
MODIS fire pixel counts of Oct 2004 (above). Theforest fire broke out on Oct. 14 2004 afternoon inHeihe, Helongliang, China, lasted for about 6 days.Averaged UV aerosol index, N20 from OMI, and COfrom AIRS for Oct 13-16 2004 (right).
M ar 22 - 24 201007 181 16A 115T F ,16 143 s:- 1'; 10
200.0
250.0
300.0
4aoaG
^ 500.0
n 600.0
700.0
650.0925.0
1000.0
AIRS Observed TemperatureVertical Cross Section for 30 °N-40°N
Temperature profile ascending (Temperature-t)Averaged over Latitude 3ON-34N and Time; 05Mar2008-10Mar2408
(Kelvin)F7 +
O230.0 s qq0 0
0.5 23.5 46.5 70.5 93.5 11515 139.5 aLongitude (degrees) Missing Data 500.0
a
600.0
Other AIRS data: Water vapor, Geopotential 740.0
height, pressure, OLR, CH4, CO, etc. 925:01 ri0n.f
ua
0.5 23.5 45,5 70.5 93.5 11 G.5 13915Longitud. (degrees) Missi ng aat9
Info: AIRS subsets are supported for selected CEOP sites by GES DISC AIRS team
Mar 22-24 2010 11
Spring heating of atmosphere above TibetanPlateau associated with Monsoon onset
Temperoture profile—ascending (Temperature-4)Averaged over Latitude 30N-34N and Time: 06May2008-101vloy2008
{Kelvin}F-1 t
200.0
250.0
390.0
-^tome
Bare Soil Evaporation
Downward Heat Flux
4
8
e
;r
MERRA - NASA Reanalysis Products (1979 - present)
MERRA is a NASA reanalysis for
the satellite era using GEOS-5,
focusing on historical analyses of
the hydrological cycle on a broad
range of weather and climate
time scales.
Products include land surface,
meteorology, energy budgetparameters, available in
monthly, or hourly at
resolution of 2/3 0 x 1/2 0, 1.250
X 1.00, or 1.25 0 x 1.25 1 with 42
or 72 levels depending on
parameters
Eastward WindAveraged Deer Longitude 120E-150E and Time: Ma2003—Apr=3
(m /s)
ae<Er61
56 —
6 BOE-01
-1.19E+01
4 -69.4 -29.4 0.6 30.6 80.6 89.4
WOtW. (d.9--h) Missing mta IN
Relative HumidityAveraged over Longitude 120E-150E and Time: Ma2003—Apr2003
cfrna,ion)
' gE-a1
7.61E-01
.1-01
207E-01
1.80E-02
J4 -594 c9. ^F 30.6 50.6 89.4
4 WOtW. (tlegrae rhrt Missing L t'
Mar 22-24 2010 2nd MAIRS Asian Dryland Study Workshop 12
5
s2r
sur•
48r
48F
44
42P
400
3nr
aar
30
GLDAS data are from four different land
surface models (CLM, MOS, NOAH, and
VIC), all at 1.0 0 resolution and some at
0.25 0 resolution as well.
JJA Total Evapotranspiration
—0.47 105 216 3.219 4.39 5.51
GLDAS - NASA Hydrology Model Products (1979 - present)
JJA Soil Moisture at Layer 1i _i_ `r _i i
0.14 1.85 3.57 5.219 7.0 5.71
5ar
szr
sur
LDAS data at temporal resolution of 3 45r
48r
hourly and monthly, can be accessed 44r
42r
through direct ftp as well as search and 4or
3nr
order system at GES DISC 3ar
34r
(http://disc.gsfc.nasa.gov /)
Mar 22-24 2010 2nd MAIRS Asian Dryland Study Workshop 13
Preliminary Results from MODIS-Terra:
Recent Trend of Land Surface Temperatureover Asia Monsoon Region
Mar 22-24 2010
G]
3'?
40
-IF
i)
2-^
20
UODIS Day Summer LST trend 2000-2009 K,/yr
Bigger Area View of LST Recent Trend fromMODIS-Terral xl degree resolution
HODIS plight Summer LST trend 2000-2009 K/yrGlh
1
ur.. .........-
....
5u1, ^' t p N f h;
4un f
1dN.0'"
.....................'dE BGC•. ]GE d4E 110E 1.'0. I,iOE 140E 160E i1 h.
60E ^OC u]C VOL , .-)LL 110E 150E 530E 140E IdCr
-0.4 -0,3 -0.1:5 -0.1 -0.05 4 0.05 011 0.15 0-1O.b I<;^.ns: ^x'a;ic ^ saio-u3-oasso -0.4 -0.3 -0,15 -0.1 -0.05 0 0,05 0.1 0.15 0,3 0.4
sans: oa•41^r^ solo-oa-oa-sl:io
Mar 22-24 2010
MODIS-Terra 8-day 1 km product (MOD11 A2.005)
(from MODIS Land Surface Temperature Products Users' Guide, by Zhengmingwan, April 2009)
• Retrieved by using generalized split-window algorithm, using Level 1Bradiance data in bands 31 and 32• Under Clear Sky condition, clear sky pixels defined by MODIS cloudmaskproduct with: confidence >=95% over land and >= 66% inland water• Cloud-contaminated LST are removed• Two LST: Daytime (local time at — 10-11 am) and Nighttime (local time at N
10-11 pm)• Sinusoidal projection, 10x10 degree tile, HDF-EOS• Quality: QA flag, in general, for QA flag=good, accuracy is better than 1 Kbut• Large uncertainty may exist in semi-arid and arid areas
Mar 22-24 2010
Approach:
• Using MODIS Reprojection Tool (MRT) software*Mosaic 10x10 degree tiles into Asian Monsoon region, 0-60N , 60E-150E• Project to Cylindrical Equidistant project•Center point of project is (0, 0)*Output data format: H DF-EOS
• Kept all quality Level• Averaged summertime LST ( June, July, August), 2001-2009• Compute linear regression fit fir each grid point
Mar 22-24 2010
Summer Daytime LST near Beijing-Tianjing Region
2001 JJA 2009 JJA
MOD IA2—MAIRS.O 5 Land Surface Tem perature ikm (day) [K] MOD iA2 — MAIRS.O 5 Land Surface Te
25May2001 — 29Aug2001) 2SMay2009 — 29A
4Q.AN - - AQAN - - -_
Ir
PN
IP
39.8N { ^.. T •'r...
39.8N`..^ ^ T ..
39.9N
MAN
39.2N - -- - _-,- - 39.2N
3M qdR - - -- 39N -. -
VOL
38.8N _-- -~ ! ---- ---' 38.8N
---•- - _ -
115.8E 116_1E 116AE 116.7E 117E 117.3E 117.6E 117.9E 116.2E 115.8E 116_1E 11 &4E 116.7E 1
i km (day) [K]
310T
309
• 308radu x "r ''^ +
.307
^ 305
305
—304>r 1
•rte.302
WV x f 301
: - 300
r
17E 117.3E 117.6E 117.9E 1162E
Mar 22-24 2010
MODIS 1 km Summer Daytime LST Trend 2001-2009 JJA
Mar 22-24 2010 —O.w —0,15 —0,1 —0,05 r_. 0.0 57O,1 0,15
K/Yr
Summer Nighttime LST near Beijing-Tianjing Region
2001 JJAMOD 1 IA2 —MAJRS.00f3 Land Surface Temperature 1 km (night) [K]
25May2001 — 29Aug2001
.+f
4PAN
40.2N _f _•*^r.l
ON14
39.SN '
39.4N - 44^Jv
darkr -
39.2N !_ f Y +^- - -
36.SN - -J,:. -
j = i
115.8E 116-1E 118.4E 116-7E 117E 117.3E 117-GE 117.0E 1182E
2009 JJAMO0I I km (night) [K]
tit,^rvlUytus+a — canuyt^wa f
40.4N
40.2N
PaN 4C Sol,AWOW
r ^
MAN
39.6N i 4
39 4N
z ^r
.. .r_n -
Y' Y
1f^Tri Y
39._N T
39N i1
.
LOP
MAN < ^
115.8E 116.1E 116.4E 116-7E 117E 117.3E 117-BE 117.9E 118-2E
I
Mar 22-24 2010
MODIS 1 km Summer Nighttime LST Trend 2001-2009 JJA
Mar 22-24 2010 —0.-- —0.15 —0,1 —0,05 r_. 0.0 57
K/Yr
Summer Daytime LST at Yangtze River Deltav g
2001 JJA 2009 JJA
MOD IA2-6WRS,O5 Land Surface Tem eraWre 1 km day) [1C] MOD fA2-6WRS.O 25 Land Suurfac ^ Te oer0a^^re i km Oay) [1<]?25May2001 — 2^Au92001)
32.4N - y, -_ - - ? .. _ 32.4N - - :4. RS.. - _ ... _
32,1N ^'• 1 32,1N AF'
All
AwpA^
^.... - -., L1 _319N- - - 319N- -
j4.30,6NfiN .. ,^..- --- -- - 30.6N F4 ^', T *_ ''' _..
IN:CIN
28.7P!_ - T
• f # * r .i 28.'• td
118.5E 118.8E 119.1E 119.4E 119.7E 120E 120.3E 120.9E 120.9E 121.2E 121.5E 121.8E 118.5E 118.8E 119.1E 119.4E 119.7E 120E 120.3E 120.9E 120.9E 121.2E 121.5E 121.8E
307
306
305
344
303
302
307
300
249
298
-297
Mar 22-24 2010
—C, . —0.15 — : ,1 —;7,05 Ci 0.05 ,1 0,1 0.3Mar 22-24 2010
K/Yr
MODIS 1 km Summer Daytime LST Trend 2001-2009 JJA
qMA
Summer Nighttime LST at Yangtze River Delta
I km (night) [K]moo 2009 JJA
297
296
295
294
293
292
2001 JJA
Mar 22-24 2010
20.71
1
32.41
32.11
31.81
31.51
31.21
30.91
30.61
30.31
301
20.714
11
MODIS 1 km Summer Nighttime LST Trend 2001-2009 JJA
l '!s
9` n 1
r
- 20 ^
-a. -o. -o, -,o r_.. o., 7r `^ K/Yr
I^
Mar 22-24 2010
Summer daytime LST at Northern China
2001 JJA 2009 JJAN001 1 A2 — 5 Land Surface Temp
43Nerature i krn (day] [K] MOD I I A2 —"RS.O 5 Land Surface Temperature i krn (day) [K]
43N—25May2001 — 29Aug 001) 25May2009 — 29Aug 009)
42-5N —^ - 425Nr
.\t
-
rw
42N ^ ^ - ., 42N _y xX', 41.5N
Cos41 N
41.5N
41 N
4P.5N 4P.5N
40N - __`- 40N`
-^R
39.5N
39.5N ^S'-4 GAL.=
36-5N d y,.. - ^.^ t -_ - 36-5N _ Y s, -
37-5N : -' y<< ;r - - a 375N - y,_:-_-"-,r'rs...'--M. .' .^ -A-^
37N 37N -k -
39.5N - i' ^.'. - _ } 39.5N ` r. -- -- i :_ -• f
36 ,.^ ^ 4'C 4^-.36
Ali –5 -
5E 96E ^97E 95E 99E 190E 101E 102E 103E 104E 105E 95E 96E 97E 95E 99E 1ODE 101E 102E 103E 164E
320.0
31 3.0
aas.c
292-C
2S5.0
Mar 22-24 2010
MODIS 1 km Summer Daytime LST Trend 2001-2009 JJA
Summary:
Higher resolution ( 1 km) data enables to show detailed spatial structure of LSTassociated Urbanization. For the fast changing Beijing-Tianjing and Yangtze RiverDelta regions, from 2001 to 2009:
• Daytime LST is warming in the urbanized Zone (surrounding area of cities), but iscooling in the developed (center of city) and rural areas.• Nighttime LST change amount is less than Daytime, significant warming nearHangzhou —Shanghai regions
MODIS LST collected under clear sky condition at about same (within about 2hours window) local time. Comparisons with ground measurements are highlyimportant to validate the remote sensing results, especially in the dry and semi-dryland.
Mar 22-24 2010
MODIS 1 km Daytime Summer L trend 2001 —2009 K /err40.6N
40AN
40.2h]
*DN
'IABN
39.61IJ
39AN
3^4.2N
3s. BN
11
—0-3 —C.1—0A — 0,05 0 O.CJF> O'l 0, 15 0.3' A 5
Mar 22-24 2010
MODIS 1 km Daytime Summerr L T tread 2001 — 0 /err32. 4N
32,1 N
31.SN
31.5w
31.2N
30.'' N
30.BN
71 F.
N
29.?N
11 I
{l.3
X1.1 L^
Cl- 1
{J. Cl w
—0.05
—'0,1
—0,15
—0.
Mar 22-24 2010
MOO 11A2 RS.4 5 Land Surface Tem raet re 1km (day) [K]-
MW(.25May2001 - 29Aug 001
40.4N
jr
ON
40.2N 1
y
39AN
t rya39.8N
39.4N AL-I
NN
39.2N ^ o
^ f
ti..hLr f
36.8N ^j '.Y
1.
r .---------
115.6E 116.1E 116.4E 116.7E 117E 117.3E 117.6E 117.9E 116.2E
MOO 11A2 "RS. 5 Land Surface Tem raet re 1krn (day) [K]-
4 (25May2002 - 29Aug 002
a
40AN
'^1 r
40.2N
ON
y1^ 4-IF
39.8N
39.8N
Ak s
39.4N'^
39.2N F
115.6E 116.1E 116.4E 116.7E 117E 117.3E 117.6E 117.9E 116.2E
M0011A2 -
"RS,4 5 Land Surface Temperature ikrn (day) [K] (25May2009 - 29Aug2009)
40AN , 4;
0309 40.2N~
3308 n r
r
ON r/ f
p307 ia
306 3s.sN p _y^r • - •# MAY305 '
304
303 39.4N
^r302
3D0 39N ^" °,
38sN •
........
115.8E 11n'.1E 116.4E 116.7E 117E 117.3E 117.6E 117.6E 118.2E
MOO 11A2 "RS.0 5 Land Surface Tempeera re ikm (day) [K]- ?01Jun2008 - 28AugZ008^
4GAN
310
309 402N
r -308
^N307 {^._;. : ..
Ta-306 39.8N -
305 ^39.fiN
304 -,r303 38AN }'* c
06302
392N
301
300 331J tr o
115.8E 11n'.1E 11 GAC 116.7E 117E 117.3E 117.6E 117.8E 118.2E
t
310
309
308
307
3106
305
304
303
302
301
300
310
309
308
307
306
1.305
304
303
302
31-10
Lh
LJ
lLl
iV
C4
rr
-I-
C
R
Area-Averaged Tiine Seftes (NIODOB N13 CLIM.005-)(Region: I I BE-122E, 29N-32N)
.
1111
IL
l 11111
I.I.
.
LLn Feb Mar Apr M ay Jun lid Aug Sep Oct Noi, DeG
FAOQ11A2 MAIRS,D 5 Land Surface Tem era wre lkm (day) [K]— 24Nav2Q04 — 26Feb 001)
a2.t r•1
31 AN - •_!
31211
36.311 -.
?r
:bI
3G.tlI - - ' - - -
f 1-
'
2B.711
118.5E 115.E 119.1E 116.4E 1167E 126E 120.3E 120.8E 120-9E 121.2E 121-5E 121.E
90
X69
288
287
285
"84
'83
82
201
c$ q
MUD 1 1A2_WA RS.0^ Land Surface TemperatLire 1 km (night) [K]24Nav2444 — 26Feb24011
32.4N -- --- -
32,1 N
31.oN ^
r'1,SN
31.2N 1 l ^' i ', tf _
319P! • ^r .4i —
30N
282
280
279
277
27 6
275
11P,-5E 118.8E 119.1E 119.4E 1193E 120E 120.3E 120.8E 120.9E 121.2E 121.5E 121.8E
Summer 2000
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Summer 2009
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